{"id":"W4388021485","doi":"10.18280/ts.400519","title":"Support Vector Machines Optimisation for Face Recognition Using Sparrow Search Algorithm","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Graduate Education","keywords":"Sparrow; Computer science; Support vector machine; Pattern recognition (psychology); Face (sociological concept); Artificial intelligence; Facial recognition system; Algorithm; Machine learning; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073305,0.0006706838,0.001047796,0.0006482836,0.0002335134,0.0007002832,0.0006435819,0.0009646657,0.001839499],"category_scores_gemma":[0.002273729,0.0003741001,0.000639824,0.0005198747,0.0004500102,0.0006058533,0.0005344455,0.0006924117,0.0006002706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003803852,"about_ca_system_score_gemma":0.000794688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002831695,"about_ca_topic_score_gemma":0.002625396,"domain_scores_codex":[0.9996336,0.0001319556,0.00002442727,0.00007484217,0.00009658906,0.00003855209],"domain_scores_gemma":[0.9994254,0.0003314438,0.00006403798,0.00003888136,0.0001240883,0.000016204],"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":[0.00008262647,0.00004864118,0.0007953999,0.00008967906,0.00006114864,0.00006265606,0.00008004499,0.8762565,0.0043961,0.005724092,0.000715066,0.111688],"study_design_scores_gemma":[0.000004233053,0.00002731638,0.00007782766,0.000004787428,0.000002721438,0.00001198748,0.00000575542,0.9984812,0.0004979764,0.0006141203,0.0002693077,0.000002708239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03384137,0.000490471,0.9631413,0.00008706915,0.00002854347,0.00006201065,0.00002232771,0.0003555043,0.001971429],"genre_scores_gemma":[0.5395701,0.0003275276,0.4551266,0.000135346,0.00002817685,0.0003156388,0.0001595849,0.00008722676,0.004249824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002831695,"threshold_uncertainty_score":0.006153703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08361589975467128,"score_gpt":0.3070604881117004,"score_spread":0.2234445883570291,"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."}}