{"id":"W3120231006","doi":"10.18280/ts.370612","title":"Detection of Unusual Targets in Traffic Images Based on One-Class Extreme Machine Learning","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Sciences","keywords":"Computer science; Extreme learning machine; Artificial intelligence; Pattern recognition (psychology); Discriminative model; Support vector machine; Classifier (UML); Anomaly detection; Feature (linguistics); Machine learning; Artificial neural network","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":[0.0005832137,0.0004712179,0.0006865989,0.0009085022,0.0002877632,0.000567906,0.0007852089,0.0006176544,0.0006574233],"category_scores_gemma":[0.001615977,0.0001932957,0.0005680061,0.0004989833,0.0005672186,0.0009134153,0.0007366935,0.0007295347,0.0002709554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000273472,"about_ca_system_score_gemma":0.0002579951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000626107,"about_ca_topic_score_gemma":0.0007467791,"domain_scores_codex":[0.9995723,0.0001094699,0.00001999522,0.0001157935,0.0001234173,0.00005890961],"domain_scores_gemma":[0.9992955,0.000284771,0.00009103339,0.00009191079,0.0001906133,0.00004616402],"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":[0.0003212636,0.000245259,0.009452152,0.0001366313,0.00009636438,0.0003472903,0.0002414815,0.2597759,0.07185502,0.009504001,0.002453399,0.6455714],"study_design_scores_gemma":[0.000002009209,0.00002784608,0.0008230954,0.0000023494,0.000004607216,0.00006079685,0.00001236479,0.9925473,0.00463125,0.001713413,0.0001670677,0.000008000902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08484102,0.00006982459,0.9134454,0.00008411866,0.00001661966,0.00002302241,0.00002923586,0.0006314669,0.0008594148],"genre_scores_gemma":[0.8447853,0.00009549582,0.1532058,0.00008891772,0.00003387176,0.00005699413,0.0001792054,0.00006012275,0.001494242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009085022,"threshold_uncertainty_score":0.003084362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461697728806281,"score_gpt":0.2233558073890963,"score_spread":0.1987388301010335,"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."}}