{"id":"W2724383523","doi":"10.1016/j.patcog.2017.06.030","title":"Online pruning of base classifiers for Dynamic Ensemble Selection","year":2017,"lang":"en","type":"article","venue":"Pattern Recognition","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Artificial intelligence; Random subspace method; Computer science; Classifier (UML); Machine learning; Pattern recognition (psychology); Competence (human resources); Data mining","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":[0.003013363,0.001305238,0.002300132,0.002364939,0.001331395,0.001746639,0.002780076,0.001299463,0.003724383],"category_scores_gemma":[0.01105396,0.0006353723,0.000987313,0.001638423,0.0004910041,0.002134671,0.00208784,0.002210847,0.001830717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007272862,"about_ca_system_score_gemma":0.001894421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003014631,"about_ca_topic_score_gemma":0.007189937,"domain_scores_codex":[0.9979193,0.0004405863,0.0001730003,0.0003762982,0.0008401394,0.0002507505],"domain_scores_gemma":[0.9942053,0.002524382,0.0002501837,0.001169884,0.001595859,0.0002544555],"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":[0.0004932336,0.0004589124,0.005591052,0.0001031917,0.0001899519,0.0002162547,0.0001482541,0.07290481,0.01085236,0.004501549,0.01233283,0.8922076],"study_design_scores_gemma":[0.00003854074,0.000111567,0.001494894,0.00004197072,0.00009679433,0.0001734733,0.00005904259,0.9810987,0.005893742,0.007616105,0.003360957,0.00001412978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07187773,0.002016686,0.918762,0.0004282011,0.0004181524,0.0002572709,0.0003890088,0.002156076,0.003694889],"genre_scores_gemma":[0.5295395,0.0007114364,0.4585463,0.0003732566,0.0004995526,0.0004845853,0.002254154,0.0004294965,0.007161653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003724383,"threshold_uncertainty_score":0.01593637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06849559556228693,"score_gpt":0.3224757485655906,"score_spread":0.2539801530033037,"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."}}