{"id":"W2892152156","doi":"10.1109/icassp.2018.8462029","title":"Robust Detection of Epileptic Seizures Using Deep Neural Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electroencephalography; Computer science; Epileptic seizure; Artificial intelligence; Pattern recognition (psychology); Noise (video); Artificial neural network; Epilepsy; Speech recognition; Robustness (evolution); Neuroscience; Psychology; Image (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":[0.0004556042,0.0008526711,0.0005187683,0.0007638096,0.0001493966,0.0004175161,0.0004244217,0.00056197,0.0005534152],"category_scores_gemma":[0.001571342,0.0002557649,0.0003208851,0.0004527225,0.0002070065,0.0006092916,0.0006918837,0.0005488895,0.0002321116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967035,"about_ca_system_score_gemma":0.0003179811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160885,"about_ca_topic_score_gemma":0.002583417,"domain_scores_codex":[0.9997159,0.0000589933,0.00002827885,0.00006986892,0.0000844286,0.00004265669],"domain_scores_gemma":[0.9996451,0.000132721,0.000083978,0.00003720167,0.00008192992,0.00001891096],"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":[0.0005306338,0.0002074977,0.003879995,0.0001630936,0.0001374742,0.0003981246,0.00006644573,0.1669776,0.1534006,0.001255129,0.0026328,0.6703506],"study_design_scores_gemma":[0.000008789336,0.00006509104,0.002151076,0.000008800651,0.00001570351,0.0001158646,0.00001230127,0.9765624,0.01950528,0.001115336,0.0004271705,0.0000121901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2690212,0.001620761,0.7244382,0.0003239246,0.00009482141,0.00006740949,0.0003366343,0.002241552,0.001855565],"genre_scores_gemma":[0.9016162,0.0004895183,0.09529728,0.0001109729,0.00004900154,0.00003919974,0.000535995,0.00005566892,0.00180615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00160885,"threshold_uncertainty_score":0.003198981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05464397337161771,"score_gpt":0.2723836313705653,"score_spread":0.2177396579989476,"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."}}