{"id":"W4415062435","doi":"","title":"Dynamic scheduling for deep neural network inference","year":2025,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sliding window protocol; Scheduling (production processes); Artificial neural network; Deep neural networks","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006589391,0.0006256039,0.0005236479,0.0003915495,0.0005842714,0.0009378939,0.00119502,0.0004827954,0.005676364],"category_scores_gemma":[0.002175878,0.0004221186,0.0004553936,0.0004599969,0.0003707356,0.001522587,0.0008844892,0.00108009,0.0009993017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415656,"about_ca_system_score_gemma":0.002761379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01401202,"about_ca_topic_score_gemma":0.03070722,"domain_scores_codex":[0.9996077,0.00006996164,0.00002858788,0.0001073852,0.0001016527,0.00008466958],"domain_scores_gemma":[0.9994159,0.0002255094,0.00003228269,0.0001057156,0.0001624322,0.00005819419],"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":[0.0009776354,0.0002165297,0.003480908,0.0003964602,0.000102343,0.0002486795,0.000296801,0.4603357,0.04038183,0.02507002,0.02072285,0.4477703],"study_design_scores_gemma":[0.00002689136,0.00005021544,0.0003384797,0.00001132088,0.00001507381,0.00002429522,0.00002962909,0.9801908,0.007245053,0.006855283,0.005203381,0.00000957243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08156879,0.002748347,0.8947561,0.0007724939,0.0004150398,0.0001000934,0.000611334,0.009185437,0.009842382],"genre_scores_gemma":[0.6897554,0.001189081,0.2920857,0.0003506519,0.0001402042,0.0001577105,0.001319578,0.0008131673,0.01418841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01401202,"threshold_uncertainty_score":0.02786094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428262138526121,"score_gpt":0.2743848002826787,"score_spread":0.2601021788974175,"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."}}