{"id":90601,"date":"2026-08-31T15:10:30","date_gmt":"2026-08-31T12:10:30","guid":{"rendered":"https:\/\/twodots.gr\/?p=90601"},"modified":"2026-08-31T15:10:31","modified_gmt":"2026-08-31T12:10:31","slug":"erminefsimi-multimodal-ai-decision-trees","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/erminefsimi-multimodal-ai-decision-trees\/","title":{"rendered":"\u0395\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 multimodal AI: \u03cc\u03c4\u03b1\u03bd \u03c4\u03b1 decision trees \u03b5\u03be\u03b7\u03b3\u03bf\u03cd\u03bd \u03c4\u03b9 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9, \u03b1\u03ba\u03bf\u03cd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u0397 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 multimodal AI \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b5\u03c0\u03b7\u03c1\u03ad\u03b1\u03c3\u03b1\u03bd \u03bc\u03b9\u03b1 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u00b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03c3\u03c4\u03ae, \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf \u03ba\u03b1\u03b9 \u03b5\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b7 \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2.<\/strong> \u0397 \u03bd\u03ad\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b3\u03b9\u03b1 Linear Discriminant Tree Ensembles \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 tree-based \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03c3\u03bf\u03c5\u03bd \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03ae\u03c7\u03bf \u03ba\u03b1\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03bc\u03b5 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b1 benchmarks. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03b4\u03ad\u03bd\u03c4\u03c1\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac \u03c4\u03bf\u03c5\u03c2 Transformers \u03bf\u03cd\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 importance score \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03ae \u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1<\/div>\n<ul>\n<li><a href=\"#ti-einai-erminefsimi-multimodal-ai\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 multimodal AI<\/a><\/li>\n<li><a href=\"#pos-leitourgei-lda-tree\">\u03a0\u03ce\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03ad\u03bd\u03b1 Linear Discriminant Tree<\/a><\/li>\n<li><a href=\"#multimodal-concepts\">\u03a0\u03ce\u03c2 \u03bf\u03b9 modalities \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03ac concepts<\/a><\/li>\n<li><a href=\"#modified-feature-importance\">\u0393\u03b9\u03b1\u03c4\u03af \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 feature importance<\/a><\/li>\n<li><a href=\"#datasets-kai-apotelesmata\">\u03a4\u03b9 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b1\u03bd \u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 datasets<\/a><\/li>\n<li><a href=\"#human-agreement\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b7 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03bc\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5\u03c2<\/a><\/li>\n<li><a href=\"#periorismoi-preprint\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c4\u03bf\u03c5 preprint<\/a><\/li>\n<li><a href=\"#epixeirimatikes-xriseis\">\u03a0\u03bf\u03cd \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03cd \u03cc\u03c7\u03b9<\/a><\/li>\n<li><a href=\"#axiologisi-prin-production\">\u03a0\u03ce\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf production<\/a><\/li>\n<li><a href=\"#explainability-den-einai-apodeixi\">\u0397 explainability \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03bf\u03c1\u03b8\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2<\/a><\/li>\n<\/ul>\n<\/div>\n<p>\u0388\u03bd\u03b1 multimodal \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf transcript \u03bc\u03b9\u03b1\u03c2 \u03c3\u03c5\u03bd\u03bf\u03bc\u03b9\u03bb\u03af\u03b1\u03c2, \u03bd\u03b1 \u03b1\u03bd\u03b1\u03bb\u03cd\u03b5\u03b9 \u03b1\u03ba\u03bf\u03c5\u03c3\u03c4\u03b9\u03ba\u03ac \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac \u03c3\u03ae\u03bc\u03b1\u03c4\u03b1. \u0397 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1 \u03b4\u03b5\u03bd \u03c4\u03b5\u03bb\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03cd\u03bd\u03c4\u03b7\u03be\u03b7 \u03b1\u03c5\u03c4\u03ce\u03bd \u03c4\u03c9\u03bd \u03c0\u03b7\u03b3\u03ce\u03bd. \u038c\u03c4\u03b1\u03bd \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03b5\u03b9 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7, \u03b5\u03c1\u03b3\u03b1\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf, \u03bc\u03b1\u03b8\u03b7\u03c4\u03ae \u03ae \u03b1\u03c3\u03b8\u03b5\u03bd\u03ae, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5, \u03b1\u03bd \u03b7 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd \u03c3\u03ba\u03bf\u03c0\u03cc \u03ba\u03b1\u03b9 \u03b1\u03bd \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b1\u03bd\u03c4\u03b1\u03bd\u03b1\u03ba\u03bb\u03ac \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b9 \u03c4\u03bf\u03bd \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03c4\u03b7\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 <em>Interpretable Multimodal Classification with Linear Discriminant Tree Ensembles<\/em> \u03c4\u03bf\u03c5 Mojtaba Moattari \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 interpretable-by-design \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03bc\u03b5 context encoding, feature encoding, oblique \u03b4\u03ad\u03bd\u03c4\u03c1\u03b1 \u03ba\u03b1\u03b9 positive-class-focused importance. \u0397 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae \u03b9\u03b4\u03ad\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03c3\u03b1 \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03c5\u03bd <a href=\"https:\/\/twodots.gr\/enterprise-ai-harnesses-diakyvernisi-architektoniki\/\">AI governance \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae<\/a>: \u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c7\u03b5\u03b9\u03c1\u03b1 \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae.<\/p>\n<h2 id=\"ti-einai-erminefsimi-multimodal-ai\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 multimodal AI<\/h2>\n<p>Multimodal AI \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03b4\u03cd\u03bf \u03ae \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b5\u03af\u03b4\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03cc\u03c0\u03c9\u03c2 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03ae\u03c7\u03bf, \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 video. \u0395\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 multimodal AI \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03c3\u03c0\u03ac\u03b8\u03b5\u03b9\u03b1 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03bf\u03b8\u03bf\u03cd\u03bd \u03bf\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03b7\u03c4\u03ac \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ae concepts \u03bc\u03ad\u03c3\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b9\u03c2 modalities. \u03a3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf paper, \u03c4\u03b1 concepts \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2, \u03b1\u03ba\u03bf\u03c5\u03c3\u03c4\u03b9\u03ba\u03ac \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 facial action units \u03c0\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c7\u03b5\u03c4\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7 \u03b8\u03b5\u03c4\u03b9\u03ba\u03ae \u03ae \u03c4\u03b7\u03bd \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03ba\u03bb\u03ac\u03c3\u03b7.<\/p>\n<p>\u0397 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03c5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03af\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03b1 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1. \u0388\u03bd\u03b1\u03c2 data scientist \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 features, variance \u03ba\u03b1\u03b9 failure modes. \u0388\u03bd\u03b1\u03c2 domain expert \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 concepts \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c3\u03c4\u03bf \u03c0\u03b5\u03b4\u03af\u03bf \u03c4\u03bf\u03c5. \u0388\u03bd\u03b1\u03c2 \u03b5\u03c0\u03b7\u03c1\u03b5\u03b1\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf\u03c2 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03ba\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03b9\u03c4\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7. \u03a4\u03bf NIST \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03bf\u03c7\u03ae \u03bb\u03cc\u03b3\u03c9\u03bd, \u03c4\u03b7 \u03bd\u03bf\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c4\u03b7\u03bd \u03c0\u03b9\u03c3\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03bf\u03c0\u03bf\u03af\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc\u03c2 \u03bf \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c0\u03c1\u03bf\u03c3\u03c4\u03b1\u03c4\u03b5\u03cd\u03b5\u03b9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c3\u03c5\u03c7\u03bd\u03cc \u03bb\u03ac\u03b8\u03bf\u03c2: \u03bd\u03b1 \u03bf\u03bd\u03bf\u03bc\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u00abexplainable\u00bb \u03ba\u03ac\u03b8\u03b5 heatmap \u03ae ranking \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ce\u03bd. \u038c\u03c0\u03c9\u03c2 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/model-cards-open-weight-ai-governance\/\">model cards \u03c7\u03c9\u03c1\u03af\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b5\u03b3\u03b3\u03c5\u03ae\u03c3\u03b5\u03b9\u03c2<\/a>, \u03b7 \u03cd\u03c0\u03b1\u03c1\u03be\u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b7 \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c1\u03bf\u03ae.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Interpretable by design<\/p>\n<p>\u0397 \u03b4\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c4\u03b1 concepts \u03ad\u03c7\u03bf\u03c5\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9. \u03a4\u03b1 tree paths \u03ba\u03b1\u03b9 \u03bf\u03b9 node contributions \u03b4\u03af\u03bd\u03bf\u03c5\u03bd \u03ac\u03bc\u03b5\u03c3\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5, \u03b1\u03bb\u03bb\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 validation.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Tree paths<\/span><span class=\"td-badge\">Concepts<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Post-hoc explanation<\/p>\n<p>\u039c\u03b9\u03b1 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03b5\u03ba \u03c4\u03c9\u03bd \u03c5\u03c3\u03c4\u03ad\u03c1\u03c9\u03bd \u03ad\u03bd\u03b1 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0395\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b3\u03b9\u03b1 \u03b4\u03b9\u03b5\u03c1\u03b5\u03cd\u03bd\u03b7\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03b9\u03c3\u03c4\u03ac \u03c4\u03bf\u03bd \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03c4\u03b7\u03c2 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Attribution<\/span><span class=\"td-badge\">Fidelity test<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Operational evidence<\/p>\n<p>\u03a3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7, \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1, model version, dataset slice \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 audit \u03ba\u03b1\u03b9 production governance.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Traceability<\/span><span class=\"td-badge\">Human review<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"pos-leitourgei-lda-tree\">\u03a0\u03ce\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03ad\u03bd\u03b1 Linear Discriminant Tree<\/h2>\n<p>\u0388\u03bd\u03b1 \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc decision tree \u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b5 \u03ad\u03bd\u03b1\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03ac\u03b8\u03b5 \u03c6\u03bf\u03c1\u03ac. \u03a4\u03bf Linear Discriminant Tree \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af Linear Discriminant Analysis \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf\u03bd \u03ba\u03cc\u03bc\u03b2\u03bf, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03cc\u03c1\u03b9\u03bf \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03bf\u03be\u03cc \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac. \u0397 LDA \u03c0\u03c1\u03bf\u03b2\u03bf\u03bb\u03ae \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b9\u03c2 \u03ba\u03bb\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03ba\u03b1\u03b8\u03b1\u03c1\u03c3\u03af\u03b1 \u03c4\u03bf\u03c5 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5.<\/p>\n<p>\u03a4\u03bf paper \u03b5\u03c0\u03b5\u03ba\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03bf\u03bd\u03bf\u03bc\u03b1\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2: Linear Discriminant Tree, Linear Discriminant Forest \u03ba\u03b1\u03b9 Linear Discriminant AdaBoost. \u03a4\u03bf LDT \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b4\u03ad\u03bd\u03c4\u03c1\u03bf, \u03c4\u03bf LDF \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ac LDA-node \u03b4\u03ad\u03bd\u03c4\u03c1\u03b1 \u03bc\u03b5 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae forest \u03ba\u03b1\u03b9 \u03c4\u03bf LDAB \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b1 \u03b4\u03ad\u03bd\u03c4\u03c1\u03b1 \u03c3\u03b5 boosting. \u03a4\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 PCA, FastICA \u03ba\u03b1\u03b9 Histogram-Based Discriminant Dependency Analysis \u03c9\u03c2 \u03b5\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 projectors.<\/p>\n<p>\u0397 \u03bb\u03bf\u03be\u03ae \u03c0\u03c1\u03bf\u03b2\u03bf\u03bb\u03ae \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03ba\u03c6\u03c1\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bb\u03cc axis-aligned split. \u0394\u03b5\u03bd \u03ba\u03ac\u03bd\u03b5\u03b9, \u03cc\u03bc\u03c9\u03c2, \u03ba\u03ac\u03b8\u03b5 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b1\u03c5\u03c4\u03bf\u03bd\u03cc\u03b7\u03c4\u03b7. \u0388\u03bd\u03b1\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ac \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b5\u03bd\u03cc\u03c2 ensemble \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c0\u03bf\u03bb\u03bb\u03bf\u03cd\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2 \u03ae \u03b4\u03ad\u03bd\u03c4\u03c1\u03b1. \u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd \u03c4\u03bf projection \u03bc\u03b5 concepts \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf.<\/p>\n<h2 id=\"multimodal-concepts\">\u03a0\u03ce\u03c2 \u03bf\u03b9 modalities \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03ac concepts<\/h2>\n<p>\u03a0\u03c1\u03b9\u03bd \u03c6\u03c4\u03ac\u03c3\u03bf\u03c5\u03bd \u03c3\u03c4\u03b1 \u03b4\u03ad\u03bd\u03c4\u03c1\u03b1, \u03bf\u03b9 \u03b5\u03af\u03c3\u03bf\u03b4\u03bf\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 tokens \u03ba\u03b1\u03b9 features. \u0393\u03b9\u03b1 \u03c4\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 sentence representations, bag-of-words \u03ba\u03b1\u03b9 bag-of-n-grams. \u0393\u03b9\u03b1 \u03c4\u03bf\u03bd \u03ae\u03c7\u03bf \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03ac\u03bb\u03bb\u03c9\u03bd COVAREP features, \u03b5\u03bd\u03ce \u03b3\u03b9\u03b1 video \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 FACET-derived facial action units \u03ba\u03b1\u03b9 \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03bf\u03cd\u03c2 visual descriptors. \u03a3\u03c4\u03bf custom \u03bc\u03b1\u03b8\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc dataset \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 OCR \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1\u03c2.<\/p>\n<p>\u03a4\u03bf context integration \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 K-means, eigenvalue-based binary hierarchical clustering \u03ae multi-sense clustering. \u03a3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03b9\u03ba\u03ac tokens \u03bd\u03b1 \u03c3\u03c7\u03b7\u03bc\u03b1\u03c4\u03af\u03b6\u03bf\u03c5\u03bd concepts \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7. \u0397 hierarchical \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7\u03bd \u03c0\u03bf\u03c1\u03b5\u03af\u03b1 \u03c3\u03c4\u03bf \u03b4\u03ad\u03bd\u03c4\u03c1\u03bf \u03c4\u03c9\u03bd clusters, \u03b5\u03bd\u03ce \u03b7 multi-sense \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03bb\u03ad\u03be\u03b7 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03c4\u03ac \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf.<\/p>\n<p>\u0397 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c3\u03c0\u03ac\u03b8\u03b5\u03b9\u03b1 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03bf\u03c5\u03bc\u03b5 \u03b1\u03c0\u03cc \u03c7\u03b9\u03bb\u03b9\u03ac\u03b4\u03b5\u03c2 \u03c9\u03bc\u03ad\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ad\u03c2 \u03c3\u03b5 \u03c3\u03c5\u03c3\u03c7\u03b5\u03c4\u03af\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03be\u03b5\u03b9 \u03ad\u03bd\u03b1\u03c2 domain expert. \u0397 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03c0\u03b1\u03b3\u03af\u03b4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf concept layer \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03b4\u03ad\u03c4\u03b5\u03c1\u03bf. Clustering, preprocessing, feature extractor \u03ba\u03b1\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2 clusters \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b9 \u03b8\u03b1 \u03b8\u03b5\u03c9\u03c1\u03b7\u03b8\u03b5\u03af \u00ab\u03af\u03b4\u03b9\u03bf concept\u00bb \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c0\u03ce\u03c2 \u03c4\u03b9 \u03b8\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03b9\u03c3\u03c4\u03b5\u03af \u03c9\u03c2 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u0397 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/strong> \u0391\u03bd \u03c4\u03bf feature extractor \u03c7\u03ac\u03bd\u03b5\u03b9 \u03c4\u03cc\u03bd\u03bf, \u03b4\u03b9\u03ac\u03bb\u03b5\u03ba\u03c4\u03bf, \u03c6\u03c9\u03c4\u03b9\u03c3\u03bc\u03cc \u03ae \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03c3\u03bc\u03b9\u03ba\u03cc context, \u03c4\u03bf tree ensemble \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03c3\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1. \u03a4\u03bf audit \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7\u03bd pipeline, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc importance ranking.<\/p>\n<\/aside>\n<h2 id=\"modified-feature-importance\">\u0393\u03b9\u03b1\u03c4\u03af \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 feature importance<\/h2>\n<p>\u03a3\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03bd\u03b9\u03c3\u03cc\u03c1\u03c1\u03bf\u03c0\u03bf binary \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1, \u03b7 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03ba\u03bb\u03ac\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03bf\u03bb\u03cd \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b8\u03b5\u03c4\u03b9\u03ba\u03ae. \u0397 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 feature importance \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03c4\u03cc\u03c4\u03b5 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 splits \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c0\u03c4\u03bf\u03c5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03ba\u03b1\u03bb\u03ac \u03c0\u03bf\u03b9\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03c3\u03c0\u03ac\u03bd\u03b9\u03bf \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03b2\u03ac\u03bd \u03c0\u03bf\u03c5 \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7.<\/p>\n<p>\u0397 modified feature importance \u03c4\u03bf\u03c5 paper \u03b5\u03c0\u03b1\u03bd\u03b1\u03c3\u03c4\u03b1\u03b8\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bd\u03b5\u03b9\u03c3\u03c6\u03bf\u03c1\u03ac \u03b5\u03bd\u03cc\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5 \u03bc\u03b5 \u03b2\u03ac\u03c3\u03b7 \u03c4\u03bf \u03c0\u03ce\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03ad\u03bc\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03b9 \u03b8\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03ba\u03bb\u03ac\u03b4\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03cd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03bc\u03b5 \u03c4\u03bf F1-mod, \u03c4\u03bf \u03bf\u03c0\u03bf\u03af\u03bf, \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03ba\u03bb\u03ac\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03c6\u03bf\u03c1\u03ad\u03c2 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7, \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03bd\u03ae \u03c4\u03c9\u03bd false positives \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf standard F1. \u03a4\u03bf standard F1 \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03bd\u03ad\u03b1 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7\u03c2.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 false positives \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae metric \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03c4\u03bf use case. \u03a3\u03b5 fraud detection, triage, quality control \u03ae lead prioritisation, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03bb\u03ac\u03b8\u03b7 \u03ad\u03c7\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2. \u0388\u03bd\u03b1 metric \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf \u03b3\u03b9\u03b1 indicator detection \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ac \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7.<\/p>\n<h2 id=\"datasets-kai-apotelesmata\">\u03a4\u03b9 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b1\u03bd \u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 datasets<\/h2>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03bf IEMOCAP \u03b3\u03b9\u03b1 emotion recognition, \u03c4\u03bf CMU-MOSI \u03b3\u03b9\u03b1 multimodal sentiment \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 custom Multimodal Mathematics dataset 20.000 \u03b4\u03b5\u03b9\u03b3\u03bc\u03ac\u03c4\u03c9\u03bd. \u039f\u03b9 \u03b4\u03cd\u03bf \u03c0\u03c1\u03ce\u03c4\u03b5\u03c2 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03bf\u03c5\u03bd \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03ae\u03c7\u03bf \u03ba\u03b1\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b1\u03bd\u03ac utterance. \u03a4\u03bf \u03c4\u03c1\u03af\u03c4\u03bf dataset \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ac \u03c3\u03c7\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd \u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd.<\/p>\n<p>\u03a4\u03b1 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c3\u03bf\u03b9 \u03cc\u03c1\u03bf\u03b9 \u03b4\u03ad\u03ba\u03b1 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03c9\u03bd runs. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af paired t-test \u03bc\u03b5 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 Holm \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 Interpretable Multimodal Routing \u03ba\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03ad\u03c7\u03bf\u03c5\u03bd p-value \u03ba\u03ac\u03c4\u03c9 \u03b1\u03c0\u03cc 0,05. \u039f\u03b9 \u03b5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c4\u03b7 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03b5\u03af\u03c7\u03b1\u03bd \u03c5\u03c8\u03b7\u03bb\u03ae \u03b4\u03b9\u03b1\u03ba\u03cd\u03bc\u03b1\u03bd\u03c3\u03b7, \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03b4\u03b5\u03bd \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 IMR.<\/p>\n<p>\u03a3\u03c4\u03bf CMU-MOSI, \u03b7 XGBoost \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c4\u03bf\u03c5 \u03c0\u03bb\u03b1\u03b9\u03c3\u03af\u03bf\u03c5 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 F1-mod 71,3%, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 65,5% \u03c4\u03bf\u03c5 IMR, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac 5,8 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03c9\u03bd \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd. \u03a4\u03b1 LDAB, LDT \u03ba\u03b1\u03b9 LDF \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c5\u03c8\u03b7\u03bb\u03ad\u03c2 \u03c4\u03c5\u03c0\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03ba\u03bb\u03af\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2. \u03a3\u03c4\u03bf Multimodal Mathematics, \u03c4\u03bf LDF \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 84,2% \u03c3\u03c4\u03b7 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 LS2. \u03a3\u03c4\u03bf IEMOCAP, \u03c4\u03bf paper \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 LDF F1-mod 67,8% \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd happy \u03ba\u03bb\u03ac\u03c3\u03b7 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 50,0% \u03c4\u03bf\u03c5 IMR.<\/p>\n<p>\u0397 \u03c3\u03cd\u03bd\u03bf\u03c8\u03b7 \u03c4\u03c9\u03bd \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c9\u03bd \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 F1-mod 4,3% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 Multimodal Transformer \u03ba\u03b1\u03b9 accuracy 3,0% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 IMR. \u0391\u03c5\u03c4\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03c9\u03bd datasets, label settings \u03ba\u03b1\u03b9 pipelines. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 tree ensemble \u03b8\u03b1 \u03be\u03b5\u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd Transformer \u03c3\u03b5 \u03bd\u03ad\u03bf domain. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03b9\u03b1 interpretable-by-design \u03bb\u03cd\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf evaluation \u03ad\u03c7\u03bf\u03c5\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 feature importance \u03bc\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03c3\u03ae\u03bc\u03b1\u03bd\u03c3\u03b7<\/p>\n<p class=\"td-chart-subtitle\">\u03a0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03bf paper \u03b3\u03b9\u03b1 modified \u03ba\u03b1\u03b9 default feature importance. \u039c\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 human-annotator agreement, \u03cc\u03c7\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u00ab\u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2\u00bb.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">62,2%<\/span><span class=\"td-metric-label\">IEMOCAP \u00b7 modified FI<\/span><span class=\"td-metric-note\">\u03a3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03bc\u03b5 annotators<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">43,2%<\/span><span class=\"td-metric-label\">IEMOCAP \u00b7 default FI<\/span><span class=\"td-metric-note\">Reference \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">46,7%<\/span><span class=\"td-metric-label\">CMU-MOSI \u00b7 modified FI<\/span><span class=\"td-metric-note\">\u03a3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03bc\u03b5 annotators<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">32,1%<\/span><span class=\"td-metric-label\">CMU-MOSI \u00b7 default FI<\/span><span class=\"td-metric-note\">Reference \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"human-agreement\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b7 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03bc\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5\u03c2<\/h2>\n<p>\u0397 modified feature importance \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7 default \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ac benchmarks: 62,2% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 43,2% \u03c3\u03c4\u03bf IEMOCAP \u03ba\u03b1\u03b9 46,7% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 32,1% \u03c3\u03c4\u03bf CMU-MOSI. \u03a4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 positive-class weighting \u03b1\u03bd\u03ad\u03b4\u03b5\u03b9\u03be\u03b5 concepts \u03c0\u03b9\u03bf \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03b9\u03c2 \u03b5\u03c4\u03b9\u03ba\u03ad\u03c4\u03b5\u03c2 \u03c4\u03c9\u03bd annotators \u03c3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2.<\/p>\n<p>\u0397 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03bc\u03b5 \u03c4\u03ad\u03bb\u03b5\u03b9\u03b1 \u03ae \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ac \u03c0\u03b9\u03c3\u03c4\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7. \u0397 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c4\u03b9\u03bc\u03ae \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03b4\u03b9\u03b1\u03c6\u03c9\u03bd\u03af\u03b1\u03c2, \u03b5\u03bd\u03ce \u03b7 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03bb\u03b5\u03be\u03b9\u03bb\u03cc\u03b3\u03b9\u03bf, \u03c4\u03bf clustering, \u03c4\u03b9\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u00abhappy\u00bb \u03ba\u03b1\u03b9 \u00absad\u00bb \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03c4\u03c9\u03bd annotators. \u039c\u03b9\u03b1 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03c0\u03bb\u03b5\u03b9\u03bf\u03c8\u03b7\u03c6\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b1\u03c3\u03ac\u03c6\u03b5\u03b9\u03b5\u03c2 \u03ae bias \u03c4\u03bf\u03c5 dataset.<\/p>\n<p>\u0393\u03b9\u03b1 production \u03c7\u03c1\u03ae\u03c3\u03b7, \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac tests. \u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 fidelity: \u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03ae \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03b8\u03b5\u03af \u03c4\u03bf concept, \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03cc\u03c0\u03c9\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf importance; \u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 usefulness: \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bf reviewer \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b5\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2, proxy feature \u03ae \u03b1\u03bd\u03b5\u03c0\u03b9\u03b8\u03cd\u03bc\u03b7\u03c4\u03b7 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7; \u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/ai-agents-behavioral-testing\/\">behavioral tests \u03b3\u03b9\u03b1 AI \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1<\/a>, \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03b7 \u03ad\u03be\u03bf\u03b4\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03c7\u03c9\u03c1\u03af\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac\u03c2.<\/p>\n<h2 id=\"periorismoi-preprint\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c4\u03bf\u03c5 preprint<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 preprint \u03b5\u03bd\u03cc\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf\u03c5 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ae \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03bc\u03b5 \u03ba\u03b1\u03c4\u03b1\u03b3\u03b5\u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03bd\u03b7 peer review \u03c3\u03c4\u03b7\u03bd \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03c5\u03bc\u03b5. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03c4\u03bf paper \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b2\u03b1\u03c3\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2: \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf training cost \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 LDA \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03cc\u03bc\u03b2\u03bf, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b4\u03b7\u03bc\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ae \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03c3\u03c4\u03b1 IEMOCAP \u03ba\u03b1\u03b9 CMU-MOSI, \u03ba\u03b1\u03b9 formulation \u03c4\u03b7\u03c2 modified importance \u03b3\u03b9\u03b1 binary targets.<\/p>\n<p>\u039f\u03b9 affect \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ad\u03c2 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03b1\u03b3\u03b3\u03bb\u03cc\u03c6\u03c9\u03bd\u03bf\u03c5\u03c2 \u03c0\u03bb\u03b7\u03b8\u03c5\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c4\u03b7\u03c2 \u0392\u03cc\u03c1\u03b5\u03b9\u03b1\u03c2 \u0391\u03bc\u03b5\u03c1\u03b9\u03ba\u03ae\u03c2. \u0394\u03b5\u03bd \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03af\u03b4\u03b9\u03b5\u03c2 \u03c3\u03c5\u03c3\u03c7\u03b5\u03c4\u03af\u03c3\u03b5\u03b9\u03c2 \u03c6\u03c9\u03bd\u03ae\u03c2, \u03bb\u03ad\u03be\u03b5\u03c9\u03bd \u03ae \u03ad\u03ba\u03c6\u03c1\u03b1\u03c3\u03b7\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b5\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03ac\u03bb\u03bb\u03b5\u03c2 \u03ba\u03bf\u03c5\u03bb\u03c4\u03bf\u03cd\u03c1\u03b5\u03c2, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b7\u03bb\u03b9\u03ba\u03af\u03b5\u03c2 \u03ae \u03c6\u03c5\u03c3\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1 \u03b5\u03be\u03c5\u03c0\u03b7\u03c1\u03ad\u03c4\u03b7\u03c3\u03b7\u03c2. \u0397 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bd\u03ad\u03bf dataset, \u03c4\u03bf\u03c0\u03b9\u03ba\u03bf\u03cd\u03c2 annotators \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b1\u03bd\u03ac \u03c5\u03c0\u03bf\u03bf\u03bc\u03ac\u03b4\u03b1.<\/p>\n<p>\u03a4\u03bf custom Multimodal Mathematics dataset \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03c9\u03c2 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c5\u03c0\u03bf\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac production validation. \u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd, \u03c4\u03b1 ablations \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7 \u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc context integration, feature encoder \u03ba\u03b1\u03b9 n-grams. \u0397 \u03b4\u03b9\u03b1\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1 \u03c4\u03c9\u03bd \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03b2\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 audit, \u03b1\u03bb\u03bb\u03ac \u03ba\u03ac\u03b8\u03b5 \u03b2\u03ae\u03bc\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u039c\u03b7\u03bd \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b5 \u03c4\u03b1 benchmark \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03c3\u03c4\u03b7 \u03b4\u03b9\u03ba\u03ae \u03c3\u03b1\u03c2 \u03b1\u03b3\u03bf\u03c1\u03ac.<\/strong> \u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 71,3%, 84,2% \u03ae 62,2% \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 datasets \u03ba\u03b1\u03b9 \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03b1. \u0397 \u03b5\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ae \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1, \u03bf \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03ba\u03bb\u03ae\u03c3\u03b5\u03c9\u03bd, \u03bf\u03b9 \u03ba\u03ac\u03bc\u03b5\u03c1\u03b5\u03c2 \u03c0\u03b5\u03bb\u03b1\u03c4\u03ce\u03bd \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc test set.<\/p>\n<\/aside>\n<h2 id=\"epixeirimatikes-xriseis\">\u03a0\u03bf\u03cd \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03cd \u03cc\u03c7\u03b9<\/h2>\n<p>\u0397 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03c3\u03b5\u03b9 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03c3\u03c5\u03c3\u03c4\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c0\u03bf\u03b9\u03b1 concepts \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03ad\u03bd\u03b1 binary outcome. \u03a0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b4\u03b9\u03b5\u03c1\u03b5\u03cd\u03bd\u03b7\u03c3\u03b7 quality signals \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/6-ai-agents-customer-support-gia-epicheiriseis\/\">customer support \u03bc\u03b5 AI agents<\/a>, \u03b7 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ce\u03bd media assets \u03ae \u03b7 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 controlled research data. \u03a3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7, \u03c4\u03bf paper \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03b3\u03b9\u03b1 pilot \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03b7 production \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae.<\/p>\n<p>\u03a3\u03b5 customer experience, \u03b7 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 transcript, \u03c6\u03c9\u03bd\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1\u03c2 \u03b1\u03b3\u03b3\u03af\u03b6\u03b5\u03b9 \u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03b5\u03bd\u03b4\u03b5\u03c7\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03b2\u03b9\u03bf\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1. \u0397 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae explainability \u03b4\u03b5\u03bd \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7 \u03bf\u03cd\u03c4\u03b5 \u03b1\u03bd\u03b1\u03b9\u03c1\u03b5\u03af \u03c4\u03b9\u03c2 \u03b1\u03c1\u03c7\u03ad\u03c2 \u03c3\u03ba\u03bf\u03c0\u03bf\u03cd, \u03b5\u03bb\u03b1\u03c7\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2. \u0393\u03b9\u03b1 \u03b1\u03c5\u03c4\u03cc \u03bc\u03b9\u03b1 \u03c1\u03bf\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc use-case assessment, privacy review \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1, \u03cc\u03c0\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf <a href=\"https:\/\/twodots.gr\/crm-compliance-dedomena-pelaton-marketing\/\">CRM compliance \u03b3\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c0\u03b5\u03bb\u03b1\u03c4\u03ce\u03bd<\/a>.<\/p>\n<p>\u03a4\u03bf \u03b5\u03c5\u03c1\u03c9\u03c0\u03b1\u03ca\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b7 \u03c0\u03c1\u03bf\u03c3\u03bf\u03c7\u03ae. \u0397 \u0395\u03c5\u03c1\u03c9\u03c0\u03b1\u03ca\u03ba\u03ae \u0395\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7 \u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c3\u03b5 \u03c7\u03ce\u03c1\u03bf\u03c5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03ac \u03b9\u03b4\u03c1\u03cd\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03b1\u03c0\u03b1\u03b3\u03bf\u03c1\u03b5\u03c5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c4\u03bf\u03c5 AI Act. \u0386\u03bb\u03bb\u03b5\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 emotion recognition \u03ae \u03b2\u03b9\u03bf\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c5\u03c0\u03ac\u03b3\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ad\u03c2 \u03c5\u03c0\u03bf\u03c7\u03c1\u03b5\u03ce\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03b9\u03b4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9\u03c2. \u039a\u03b1\u03bc\u03af\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03b1\u03c0\u03cc research benchmark \u03c3\u03b5 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03c0\u03c1\u03bf\u03c3\u03ce\u03c0\u03c9\u03bd \u03ae \u03c6\u03c9\u03bd\u03ce\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03b9\u03b4\u03b9\u03ba\u03ae \u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bf\u03bd\u03c4\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-label\">\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b3\u03b9\u03b1 multimodal pilots<\/p>\n<p><strong>\u0391\u03bd \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03b5\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1, \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7, \u03c5\u03b3\u03b5\u03af\u03b1, \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 \u03c5\u03c0\u03b7\u03c1\u03b5\u03c3\u03af\u03b1 \u03ae \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5, \u03c4\u03bf importance score \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03ac\u03b4\u03b5\u03b9\u03b1 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2.<\/strong><\/p>\n<p>\u03a0\u03c1\u03ce\u03c4\u03b1 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03c4\u03cc\u03c2 \u03c3\u03ba\u03bf\u03c0\u03cc\u03c2, \u03bf\u03b9 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2, \u03bf\u03b9 \u03c0\u03c1\u03bf\u03c3\u03c4\u03b1\u03c4\u03b5\u03c5\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2, \u03c4\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b4\u03b9\u03ba\u03b1\u03af\u03c9\u03bc\u03b1 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b2\u03b1\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03bf\u03cd\u03c2 \u03b4\u03b9\u03b1\u03ba\u03bf\u03c0\u03ae\u03c2.<\/p>\n<\/div>\n<p>\u0393\u03b9\u03b1 marketing, \u03b7 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03c7\u03bd\u03ac \u03b7 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03ae \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03c9\u03c4\u03b9\u03ba\u03ac \u03ae \u03bc\u03b7 \u03b5\u03c5\u03b1\u03af\u03c3\u03b8\u03b7\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03cc\u03c7\u03b9 \u03b7 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u00ab\u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2\u00bb \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7. \u039f\u03b9 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03b3\u03b9\u03b1 content QA, campaign assets \u03ba\u03b1\u03b9 support taxonomy, \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ce\u03bd\u03c4\u03b1\u03c2 \u03c4\u03bf\u03bd \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf \u03c3\u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u0391\u03c5\u03c4\u03cc \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/37-praktika-ai-workflows-marketing-choris-katargoun-marketer\/\">AI workflows \u03c0\u03bf\u03c5 \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03bf\u03c5\u03bd \u03c4\u03bf\u03bd marketer<\/a> \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03c1\u03b3\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03ba\u03c1\u03af\u03c3\u03b7 \u03c4\u03bf\u03c5.<\/p>\n<h2 id=\"axiologisi-prin-production\">\u03a0\u03ce\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf production<\/h2>\n<p>\u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b7 \u03b8\u03b5\u03c4\u03b9\u03ba\u03ae \u03ba\u03bb\u03ac\u03c3\u03b7. \u00ab\u0391\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bd\u03b1\u03af\u03c3\u03b8\u03b7\u03bc\u03b1\u00bb \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03b1\u03c3\u03b1\u03c6\u03ad\u03c2 \u03b1\u03bd \u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae \u03c7\u03c1\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd, escalation \u03ae quality review. \u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03c4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9, \u03c3\u03b5 \u03c0\u03bf\u03b9\u03bf \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2.<\/p>\n<p>\u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03cc evaluation \u03b3\u03b9\u03b1 interpretable \u03ba\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc production baseline. \u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 splits, \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac runs \u03ba\u03b1\u03b9 metrics \u03b1\u03bd\u03ac \u03ba\u03bb\u03ac\u03c3\u03b7. Accuracy, standard F1, recall, calibration, variance \u03ba\u03b1\u03b9 error slices \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b1\u03b6\u03af. \u0397 \u03bc\u03ad\u03c3\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b5\u03c2 \u03c3\u03b5 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1, \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf, \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ae \u03ae \u03c0\u03bb\u03b7\u03b8\u03c5\u03c3\u03bc\u03b9\u03b1\u03ba\u03ae \u03bf\u03bc\u03ac\u03b4\u03b1.<\/p>\n<p>\u03a4\u03bf \u03c4\u03c1\u03af\u03c4\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03af\u03b4\u03b9\u03b1\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2. \u039f\u03b9 reviewers \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03bd \u03b1\u03bd \u03c4\u03b1 top concepts \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03b7\u03c4\u03ac, \u03b1\u03bd \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03b9\u03c4\u03b9\u03bf\u03bb\u03bf\u03b3\u03b7\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c3\u03ba\u03bf\u03c0\u03cc, \u03b1\u03bd \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03c3\u03b5 \u03b5\u03cd\u03bb\u03bf\u03b3\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2. \u0393\u03b9\u03b1 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ad\u03c2 \u03ae \u03c8\u03c5\u03c7\u03b9\u03ba\u03ae\u03c2 \u03c5\u03b3\u03b5\u03af\u03b1\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 \u03cc\u03c1\u03b9\u03b1, \u03cc\u03c0\u03c9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/ai-psychiki-ygeia-egkairi-anichnefsi-kliniki-efthyni\/\">\u03cc\u03c1\u03b9\u03b1 \u03c4\u03b7\u03c2 AI \u03c3\u03c4\u03b7\u03bd \u03c8\u03c5\u03c7\u03b9\u03ba\u03ae \u03c5\u03b3\u03b5\u03af\u03b1<\/a> \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 <a href=\"https:\/\/twodots.gr\/klinika-oria-ai-provlepseis-katanohites\/\">\u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03b7\u03c4\u03ad\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2<\/a>.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac gates \u03b3\u03b9\u03b1 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 multimodal AI<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b8\u03b5\u03c4\u03b9\u03ba\u03ae \u03ba\u03bb\u03ac\u03c3\u03b7<\/strong>\n<p>\u03a0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c4\u03bf outcome, \u03c4\u03bf\u03bd \u03b1\u03c0\u03bf\u03b4\u03ad\u03ba\u03c4\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 false positive \u03ba\u03b1\u03b9 false negative \u03c0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b5\u03c4\u03b5 metric.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 2<\/span><strong>\u03a7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03ae\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 modality<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b1, \u03ae\u03c7\u03bf\u03b9 \u03ba\u03b1\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03c3\u03c5\u03bb\u03bb\u03ad\u03b3\u03bf\u03bd\u03c4\u03b1\u03b9, \u03b3\u03b9\u03b1 \u03c0\u03bf\u03b9\u03bf \u03c3\u03ba\u03bf\u03c0\u03cc, \u03bc\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03ac\u03b4\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 retention policy.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 3<\/span><strong>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 feature \u03ba\u03b1\u03b9 context encoders<\/strong>\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03b1\u03bd preprocessing, OCR, acoustic features \u03ba\u03b1\u03b9 clustering \u03c7\u03ac\u03bd\u03bf\u03c5\u03bd \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2 \u03ae \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd proxy \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 4<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf test set<\/strong>\n<p>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 interpretable model \u03ba\u03b1\u03b9 production baseline \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 splits, \u03bc\u03b5 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac runs, variance \u03ba\u03b1\u03b9 metrics \u03b1\u03bd\u03ac \u03ba\u03bb\u03ac\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c5\u03c0\u03bf\u03bf\u03bc\u03ac\u03b4\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 5<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 fidelity \u03ba\u03b1\u03b9 usefulness<\/strong>\n<p>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03b1\u03bd \u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03b5\u03bd\u03cc\u03c2 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03bf\u03cd concept \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bd \u03bf domain reviewer \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b5\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 6<\/span><strong>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf handoff<\/strong>\n<p>\u039a\u03b1\u03b8\u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03c0\u03cc\u03c4\u03b5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac, \u03c0\u03bf\u03b9\u03bf context \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03bf reviewer, \u03c0\u03ce\u03c2 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b4\u03b9\u03b1\u03c6\u03c9\u03bd\u03af\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 7<\/span><strong>\u0391\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03c3\u03c4\u03b5 pilot, narrow \u03ae stop<\/strong>\n<p>\u03a0\u03c1\u03bf\u03c7\u03c9\u03c1\u03ae\u03c3\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf use case \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03c4\u03cc, \u03c4\u03b1 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 slices \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd \u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf audit trail \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c7\u03b8\u03b5\u03af.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u0397 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 dataset version, preprocessing, hyperparameters, model build, explanation method \u03ba\u03b1\u03b9 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u03a4\u03bf public repository \u03c4\u03c9\u03bd \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c9\u03bd \u03bc\u03b5 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1, preprocessed features \u03ba\u03b1\u03b9 trained models \u03b4\u03b9\u03b5\u03c5\u03ba\u03bf\u03bb\u03cd\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 versioned corpus. \u0388\u03bd\u03b1 <a href=\"https:\/\/twodots.gr\/rail-ai-4-erotimata-prin-tin-paragogi\/\">RAIL \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf production<\/a> \u03b2\u03bf\u03b7\u03b8\u03ac \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7.<\/p>\n<h2 id=\"explainability-den-einai-apodeixi\">\u0397 explainability \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03bf\u03c1\u03b8\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2<\/h2>\n<p>\u03a4\u03bf \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 decision trees \u00ab\u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b1\u03bd\u00bb \u03c4\u03bf\u03c5\u03c2 Transformers. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae, \u03c4\u03bf feature representation \u03ba\u03b1\u03b9 \u03c4\u03bf evaluation \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03bb\u03cd\u03c3\u03b7\u03c2. \u03a3\u03b5 \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 benchmarks, \u03b1\u03c5\u03c4\u03ae \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03cd\u03be\u03b7\u03c3\u03b5 \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03c4\u03c9\u03bd importance concepts \u03bc\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03c3\u03b7\u03bc\u03ac\u03bd\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b7 explainability \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03bf\u03b4\u03b7\u03b3\u03b5\u03af \u03c3\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf: \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 proxy features, \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03b9 dataset drift, \u03b2\u03bf\u03b7\u03b8\u03ac \u03c4\u03bf\u03bd reviewer \u03ba\u03b1\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c3\u03c4\u03b1\u03bc\u03ac\u03c4\u03b7\u03c3\u03b5 \u03ae \u03ba\u03bb\u03b9\u03bc\u03b1\u03ba\u03ce\u03b8\u03b7\u03ba\u03b5. \u0391\u03bd \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03bd\u03b1 \u03b1\u03ba\u03bf\u03cd\u03b3\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae, \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c5\u03c4\u03bf\u03c0\u03b5\u03c0\u03bf\u03af\u03b8\u03b7\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1.<\/p>\n<p>\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2: \u00ab\u039c\u03c0\u03bf\u03c1\u03bf\u03cd\u03bc\u03b5 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03bf\u03c5\u03bc\u03b5 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03c4\u03ac \u03cc\u03c1\u03b9\u03b1 \u03c4\u03bf\u03c5 \u03b4\u03b9\u03ba\u03bf\u03cd \u03bc\u03b1\u03c2 use case \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b2\u03bf\u03b7\u03b8\u03ac \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03bf\u03c5\u03bc\u03b5 \u03bb\u03ac\u03b8\u03b7;\u00bb. \u0391\u03c5\u03c4\u03ae \u03b7 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf research demo \u03c3\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf, \u03b1\u03bd\u03b1\u03c3\u03c4\u03c1\u03ad\u03c8\u03b9\u03bc\u03bf \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03c5\u03cc\u03bc\u03b5\u03bd\u03bf workflow \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b2\u03ac\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03b5\u03af\u03c2 <a href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/a>.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf multimodal AI pilot \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1<\/p>\n<h3>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03bc\u03b1\u03b6\u03af accuracy, explainability \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf handoff<\/h3>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03c4\u03bf use case, \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 task-specific test sets, \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 confidence gates, monitoring \u03ba\u03b1\u03b9 audit trail \u03c0\u03c1\u03b9\u03bd \u03bc\u03b9\u03b1 multimodal \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03c3\u03b5\u03b9 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7 \u03ae \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03c4\u03bf\u03c5\u03c2 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 multimodal AI;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 AI \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b5\u03af\u03b4\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03cc\u03c0\u03c9\u03c2 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03ae\u03c7\u03bf \u03ba\u03b1\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1, \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ad\u03c7\u03b5\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ae concepts \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b7\u03c1\u03ad\u03b1\u03c3\u03b1\u03bd \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 Linear Discriminant Tree;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af LDA projection \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2, \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 split \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ac \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03b5 \u03bb\u03bf\u03be\u03cc \u03cc\u03c1\u03b9\u03bf \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 \u03bc\u03af\u03b1 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ae.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 modified feature importance;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03c3\u03b5 \u03b1\u03bd\u03b9\u03c3\u03cc\u03c1\u03c1\u03bf\u03c0\u03b1 binary \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b7 default importance \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03c5\u03c1\u03b9\u03b1\u03c1\u03c7\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03ba\u03bb\u03ac\u03c3\u03b7. \u0397 \u03bd\u03ad\u03b1 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b5\u03c3\u03c4\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03c4\u03b1 splits \u03c0\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03bf\u03c5\u03bd \u03b8\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039e\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b1\u03bd \u03c4\u03b1 tree ensembles \u03cc\u03bb\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5\u03c2 Transformers;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a4\u03bf paper \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ae \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 datasets \u03ba\u03b1\u03b9 metrics, \u03b1\u03bb\u03bb\u03ac \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03b5\u03af\u03c7\u03b1\u03bd \u03c5\u03c8\u03b7\u03bb\u03ae \u03b4\u03b9\u03b1\u03ba\u03cd\u03bc\u03b1\u03bd\u03c3\u03b7. \u0391\u03c0\u03b1\u03b9\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 validation \u03b1\u03bd\u03ac \u03c7\u03c1\u03ae\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 datasets \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03b1 IEMOCAP, CMU-MOSI \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 custom Multimodal Mathematics dataset 20.000 \u03b4\u03b5\u03b9\u03b3\u03bc\u03ac\u03c4\u03c9\u03bd. \u03a4\u03b1 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03bc\u03ad\u03c3\u03bf\u03b9 \u03cc\u03c1\u03bf\u03b9 \u03b4\u03ad\u03ba\u03b1 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03c9\u03bd runs.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 modified importance \u03c4\u03b1\u03af\u03c1\u03b9\u03b1\u03be\u03b5 \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b5\u03c1\u03b1 \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03c3\u03b7\u03bc\u03ac\u03bd\u03c3\u03b5\u03b9\u03c2 \u03c4\u03c9\u03bd annotators \u03b1\u03c0\u03cc \u03c4\u03b7 default \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03c3\u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 benchmarks. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c4\u03ad\u03bb\u03b5\u03b9\u03b1 \u03ae \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ac \u03c0\u03b9\u03c3\u03c4\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03b3\u03b9\u03b1 emotion recognition \u03b5\u03c1\u03b3\u03b1\u03b6\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ae \u03bc\u03b1\u03b8\u03b7\u03c4\u03ce\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u0395\u03c5\u03c1\u03c9\u03c0\u03b1\u03ca\u03ba\u03ae \u0395\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b7\u03bd emotion recognition \u03c3\u03b5 \u03c7\u03ce\u03c1\u03bf\u03c5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03ac \u03b9\u03b4\u03c1\u03cd\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03b1\u03c0\u03b1\u03b3\u03bf\u03c1\u03b5\u03c5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c4\u03bf\u03c5 AI Act. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03b9\u03b4\u03b9\u03ba\u03ae \u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03bf\u03c0\u03bf\u03b9\u03bf\u03b4\u03ae\u03c0\u03bf\u03c4\u03b5 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc use case.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc gate \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf production;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc test set \u03cc\u03c4\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2, \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03c3\u03c4\u03ae \u03ba\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7, \u03c4\u03bf use case \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf handoff.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.20384\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Interpretable Multimodal Classification with Linear Discriminant Tree Ensembles<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/moatary\/reproducible_multimodal_ensemble\" target=\"_blank\" rel=\"noopener\">GitHub \u2014 Reproducibility materials \u03c4\u03bf\u03c5 Linear Discriminant Tree Ensemble framework<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/publications\/four-principles-explainable-artificial-intelligence\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Four Principles of Explainable Artificial Intelligence<\/a><\/li>\n<li><a href=\"https:\/\/digital-strategy.ec.europa.eu\/en\/policies\/regulatory-framework-ai\" target=\"_blank\" rel=\"noopener\">European Commission \u2014 AI Act \u03ba\u03b1\u03b9 risk-based obligations<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a0\u03ce\u03c2 \u03c4\u03b1 Linear Discriminant Tree Ensembles \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03bf\u03c5\u03bd \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03ae\u03c7\u03bf \u03ba\u03b1\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 gates \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 multimodal AI \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf production.<\/p>","protected":false},"author":1,"featured_media":90620,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[9260,19811,7549,7477,18467],"class_list":["post-90601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-governance","tag-decision-trees","tag-explainable-ai","tag-machine-learning","tag-multimodal-ai"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":7}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/90601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=90601"}],"version-history":[{"count":0,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/90601\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/90620"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=90601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=90601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=90601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}