{"id":"W4402474317","doi":"10.1109/ccece59415.2024.10667313","title":"Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Reduction (mathematics); Heuristics; Computer science; Deep learning; Artificial intelligence; Dimensionality reduction; Machine learning; Mathematics","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":[0.001060043,0.001281091,0.001127526,0.0006406888,0.0004042656,0.001066479,0.001654101,0.00110145,0.001126149],"category_scores_gemma":[0.002867887,0.0006737338,0.0009474556,0.0006784814,0.0009013806,0.001525634,0.001253385,0.00170325,0.0003543402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008375364,"about_ca_system_score_gemma":0.001235428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581713,"about_ca_topic_score_gemma":0.003799264,"domain_scores_codex":[0.9994899,0.000161481,0.00004172235,0.0001000302,0.0001416142,0.00006521567],"domain_scores_gemma":[0.9990695,0.0004590773,0.0001068347,0.0001920218,0.0001261696,0.00004648151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007391589,0.00009998911,0.001093441,0.0001316948,0.0001287739,0.00008522966,0.000115755,0.8867404,0.005406858,0.01350146,0.001449806,0.09117261],"study_design_scores_gemma":[0.00002161183,0.00004709842,0.00008511155,0.00001391247,0.00002415017,0.00002508365,0.00001618045,0.9921622,0.00160305,0.004776426,0.001217303,0.000008007338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04589441,0.00183471,0.9458728,0.0003584652,0.0001212911,0.000106958,0.00006805462,0.001453024,0.00429026],"genre_scores_gemma":[0.5881369,0.0009397856,0.4078629,0.0005133613,0.00008348902,0.000327573,0.0002262614,0.000271737,0.001637979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002581713,"threshold_uncertainty_score":0.006076753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579238999298089,"score_gpt":0.2656405966653324,"score_spread":0.2498482066723515,"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."}}