{"id":"W2144910496","doi":"10.1109/icpr.2014.225","title":"Generic Subclass Ensemble: A Novel Approach to Ensemble Classification","year":2014,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Subclass; Classifier (UML); Computer science; Artificial intelligence; Ensemble learning; Perceptron; Machine learning; Pattern recognition (psychology); Benchmark (surveying); One-class classification; Statistical classification; Multiclass classification; Data mining; Support vector machine; Artificial neural network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002523813,0.001268807,0.002560776,0.002733532,0.0008309816,0.001480163,0.002037261,0.001274187,0.001808257],"category_scores_gemma":[0.004304059,0.0004326053,0.001389438,0.0026381,0.0005475398,0.002587928,0.001947543,0.002082083,0.0009520049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000458091,"about_ca_system_score_gemma":0.0007512215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001866851,"about_ca_topic_score_gemma":0.002558058,"domain_scores_codex":[0.9978927,0.0005897389,0.0001104015,0.000462926,0.0008044743,0.0001397614],"domain_scores_gemma":[0.9976414,0.0006636423,0.0002003614,0.0006478877,0.0007372808,0.0001094613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001201857,0.0001687529,0.006045758,0.000219854,0.0006323579,0.0001663029,0.0001879306,0.101417,0.01012091,0.01952067,0.009181899,0.8522184],"study_design_scores_gemma":[0.00001136062,0.0001129059,0.001325224,0.00004002043,0.0001370422,0.0002597828,0.00005243207,0.9594858,0.004115927,0.02304235,0.01138264,0.00003456063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007330605,0.0009115709,0.9888539,0.0001152068,0.0001018951,0.00007541472,0.0001163218,0.0006835074,0.001811519],"genre_scores_gemma":[0.323623,0.002033059,0.6663374,0.0003967656,0.0006329706,0.0003068579,0.001411469,0.0003241007,0.00493426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002733532,"threshold_uncertainty_score":0.01334733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05217494820695119,"score_gpt":0.2483137750036264,"score_spread":0.1961388267966752,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}