{"id":"W4405751093","doi":"10.18280/isi.290624","title":"Hyperspectral Image Classification Using Hybrid Swarm Feature Selection and Ensemble Classifier","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hyperspectral imaging; Pattern recognition (psychology); Feature selection; Artificial intelligence; Classifier (UML); Computer science; Contextual image classification; Ensemble learning; Machine learning; Image (mathematics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002723205,0.0002611787,0.000190713,0.0004338965,0.0002214169,0.0009047498,0.00008605458,0.0001656988,0.00001076689],"category_scores_gemma":[0.00009519421,0.0002738072,0.00006609208,0.0005346899,0.0001057921,0.003900451,0.00001933319,0.0003336891,0.0001287792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008349499,"about_ca_system_score_gemma":0.0000693895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001897256,"about_ca_topic_score_gemma":0.000005736359,"domain_scores_codex":[0.9987625,0.0000404548,0.0004189497,0.0002111578,0.0002364883,0.000330444],"domain_scores_gemma":[0.9993826,0.00005075301,0.00008252603,0.0002050155,0.0001873745,0.00009170439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003497105,0.00001715223,0.0001463154,0.001848104,0.0001482297,0.00001282742,0.004618188,0.006681735,0.7913052,0.00357828,0.008837665,0.1827713],"study_design_scores_gemma":[0.0001501399,0.00002599481,0.002795975,0.0002139848,0.00005080654,0.0003943403,0.0005135002,0.9438487,0.04456187,0.0009309482,0.006197645,0.0003161134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6392317,0.0006431362,0.346349,0.0001460435,0.000913849,0.0003993724,0.00002414412,0.001563213,0.01072947],"genre_scores_gemma":[0.9800833,0.0001307011,0.01924452,0.00002711293,0.0001984801,0.00001276294,0.0001303484,0.00005126837,0.0001214736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9371669,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806774955801694,"score_gpt":0.2367441368766847,"score_spread":0.2186763873186678,"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."}}