{"id":"W3133463776","doi":"10.1109/icdmw51313.2020.00124","title":"Multi-class imbalanced semi-supervised learning from streams through online ensembles","year":2020,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Concept drift; Machine learning; Class (philosophy); Artificial intelligence; Data stream mining; Skew; Ensemble learning; Online learning; Semi-supervised learning; Supervised learning; Data mining; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007840972,0.0002633909,0.0003159116,0.00003308112,0.0001091264,0.0002191209,0.001666094,0.0001102949,0.00009741526],"category_scores_gemma":[0.0002046393,0.0002361961,0.00008238099,0.0003778912,0.00004778779,0.000822345,0.0009189855,0.0003347107,0.0001267422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003297884,"about_ca_system_score_gemma":0.00005837911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006659729,"about_ca_topic_score_gemma":0.00006519641,"domain_scores_codex":[0.9981146,0.0001019418,0.0003206931,0.0007899262,0.0003051845,0.0003676704],"domain_scores_gemma":[0.9987542,0.0001832909,0.0001073928,0.0007259237,0.00006967518,0.0001594949],"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":[0.00009989648,0.001301607,0.02648133,0.0001005906,0.0003625531,0.0004269498,0.02373149,0.001531439,0.401178,0.01083315,0.07998698,0.453966],"study_design_scores_gemma":[0.0009312364,0.0002523461,0.001292264,0.00005997806,0.00001278561,0.000003962197,0.0004564631,0.917322,0.06003596,0.000578397,0.01854669,0.0005078635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1029151,0.00009226333,0.887676,0.003839419,0.000103104,0.0001796453,0.00007341222,0.003244329,0.001876686],"genre_scores_gemma":[0.403534,0.00004596073,0.5941651,0.001801721,0.0001011893,0.000008470852,0.0001810154,0.00001940829,0.0001431574],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9157906,"threshold_uncertainty_score":0.9631796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0579787232822911,"score_gpt":0.281047989976542,"score_spread":0.2230692666942509,"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."}}