{"id":"W4229455645","doi":"10.18280/ts.390233","title":"HFD and MCFET Based Feature Extraction Technique for Detection of Epilepsy Using ANN Classifier","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pattern recognition (psychology); Artificial intelligence; Epilepsy; Electroencephalography; Computer science; Feature extraction; Fractal dimension; Epileptic seizure; Fractal; Classifier (UML); Wavelet; Mathematics; Psychology; Neuroscience","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":[0.0003743869,0.000576883,0.000578191,0.001141686,0.0002294225,0.0004904748,0.0003675174,0.0005678182,0.002758673],"category_scores_gemma":[0.001069231,0.0001755237,0.0005529359,0.0007257333,0.0001173488,0.0004884793,0.0002312217,0.0004431331,0.0007497475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668437,"about_ca_system_score_gemma":0.0003166509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002335396,"about_ca_topic_score_gemma":0.002049207,"domain_scores_codex":[0.9997229,0.00002725645,0.00003828236,0.00006178598,0.0001113086,0.00003845815],"domain_scores_gemma":[0.9996636,0.0001272485,0.0000348902,0.00002142029,0.0001436632,0.000009116211],"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":[0.000651436,0.0003867407,0.008570334,0.0003283151,0.0001469092,0.0007363014,0.0001160877,0.04922998,0.1372416,0.001419276,0.00493602,0.7962369],"study_design_scores_gemma":[0.00003739227,0.0005402077,0.02225145,0.00007590324,0.00009822207,0.001145724,0.00009801172,0.8931307,0.07535832,0.001129341,0.006076468,0.00005823462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2352513,0.001340445,0.7510927,0.0003868792,0.0002794903,0.0002353724,0.001230625,0.003446399,0.006736787],"genre_scores_gemma":[0.7442864,0.0006477355,0.2459233,0.0001270022,0.00007214391,0.0002196981,0.001778256,0.00005703849,0.006888461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002758673,"threshold_uncertainty_score":0.009228706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04333866435698845,"score_gpt":0.2909272978644254,"score_spread":0.2475886335074369,"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."}}