{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005386691,0.0001401024,0.0001292572,0.0001949202,0.0002301022,0.0001590235,0.0002491516,0.00006243398,0.0003000328],"category_scores_gemma":[0.00001452596,0.0001346634,0.00008498235,0.0003693831,0.00001995095,0.0005755562,0.00007261914,0.00007830534,0.0002364759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004804713,"about_ca_system_score_gemma":0.00006082333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002327144,"about_ca_topic_score_gemma":0.000001967832,"domain_scores_codex":[0.9986221,0.00006425875,0.0002497808,0.0003593942,0.0003657549,0.0003387452],"domain_scores_gemma":[0.9994591,0.0001024607,0.0000691705,0.0001421261,0.0001338866,0.00009326258],"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":[0.00004085282,0.0001304894,0.00009139587,0.00008038114,0.00004040461,0.00001405377,0.00147633,0.00584866,0.06186049,0.0001125586,0.008476877,0.9218275],"study_design_scores_gemma":[0.0007344945,0.0001798869,0.0005878655,0.00004311057,0.00001346749,0.000008094999,0.0001140644,0.9626909,0.03360908,0.0008782662,0.0009331414,0.0002075713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1296547,0.000007445487,0.8681977,0.0007620769,0.0003369835,0.0005374204,0.00008543227,0.0002971478,0.0001210753],"genre_scores_gemma":[0.5879036,0.00003306916,0.4087839,0.0006024659,0.0006539426,0.00029341,0.001217357,0.00004725733,0.0004649166],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9568423,"threshold_uncertainty_score":0.5491412,"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."}}