{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008447169,0.0008516439,0.001471302,0.001132264,0.0005750261,0.0006390806,0.0005828472,0.000644175,0.0007683226],"category_scores_gemma":[0.001206043,0.0002713279,0.001002392,0.00111347,0.0002109728,0.001030408,0.0006281102,0.0005580359,0.0002726785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002895705,"about_ca_system_score_gemma":0.0005083408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003949539,"about_ca_topic_score_gemma":0.003526666,"domain_scores_codex":[0.9994578,0.0000841074,0.00004258553,0.0001211227,0.0002302666,0.00006413301],"domain_scores_gemma":[0.99933,0.0001856531,0.00005400999,0.0000807538,0.0003191585,0.00003044948],"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":[0.0003414978,0.0003736338,0.00838894,0.00007591811,0.0003258993,0.0001384794,0.0001159916,0.1867286,0.04246166,0.001344779,0.004859294,0.7548453],"study_design_scores_gemma":[0.000007423163,0.00004224284,0.001631509,0.000002570742,0.0000345835,0.00002999399,0.00001379072,0.9946331,0.0029854,0.0002852443,0.0003263067,0.000007858876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.143962,0.00046317,0.8520379,0.0001678934,0.0002210954,0.000081029,0.0001499491,0.0008609652,0.002056055],"genre_scores_gemma":[0.8089378,0.0002978966,0.185483,0.00009789294,0.0001714345,0.0001522841,0.0006089007,0.00007106367,0.004179785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003949539,"threshold_uncertainty_score":0.00785315,"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."}}