{"id":"https://openalex.org/W4409102386","doi":"https://doi.org/10.1109/icears64219.2025.10940562","title":"Comparative Analysis of Machine Learning Models for Predicting Species Distribution in Fishing Data","display_name":"Comparative Analysis of Machine Learning Models for Predicting Species Distribution in Fishing Data","publication_year":2025,"publication_date":"2025-02-11","ids":{"openalex":"https://openalex.org/W4409102386","doi":"https://doi.org/10.1109/icears64219.2025.10940562"},"language":"en","primary_location":{"id":"doi:10.1109/icears64219.2025.10940562","doi":"https://doi.org/10.1109/icears64219.2025.10940562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icears64219.2025.10940562","pdf_url":null,"source":{"id":"https://openalex.org/S4363607833","display_name":"International Conference on Electronics and Renewable Systems (ICEARS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics and Renewable Systems (ICEARS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099780153","display_name":"Epifelward Ni\u00f1o O. Amora","orcid":"https://orcid.org/0000-0001-7333-9134","observed_orcids":["https://orcid.org/0000-0001-7333-9134"]},"institutions":[{"id":"https://openalex.org/I226788022","display_name":"Bohol Island State University","ror":"https://ror.org/00hnkz789","country_code":"PH","type":"education","lineage":["https://openalex.org/I226788022"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Epifelward Ni\u00f1o O. Amora","raw_affiliation_strings":["Bohol Island State University,College of Sciences,Computer Science Department,Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bohol Island State University,College of Sciences,Computer Science Department,Philippines","institution_ids":["https://openalex.org/I226788022"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5099780153"],"corresponding_institution_ids":["https://openalex.org/I226788022"],"apc_list":null,"apc_paid":null,"fwci":2.7576,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87777778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1846","last_page":"1853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.888700008392334,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.888700008392334,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10230","display_name":"Marine and fisheries research","score":0.01140000019222498,"subfield":{"id":"https://openalex.org/subfields/1104","display_name":"Aquatic Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.009499999694526196,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/species-distribution-prediction","display_name":"species distribution prediction","score":0.9950000047683716},{"id":"https://openalex.org/keywords/classifier-comparison","display_name":"classifier comparison","score":0.8059999942779541},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9509999752044678},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"gradient boosting","score":0.9340000152587891},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":1.0},{"id":"https://openalex.org/keywords/ensemble-methods","display_name":"ensemble methods","score":0.9710000157356262},{"id":"https://openalex.org/keywords/ecological-data","display_name":"ecological data","score":0.39399999380111694},{"id":"https://openalex.org/keywords/fisheries-bycatch","display_name":"bycatch","score":0.3400000035762787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659213662147522},{"id":"https://openalex.org/C514101110","wikidata":"https://www.wikidata.org/wiki/Q14373","display_name":"Fishing","level":2,"score":0.6456330418586731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4957803189754486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4904329478740692},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.45226046442985535},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.20985147356987},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icears64219.2025.10940562","doi":"https://doi.org/10.1109/icears64219.2025.10940562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icears64219.2025.10940562","pdf_url":null,"source":{"id":"https://openalex.org/S4363607833","display_name":"International Conference on Electronics and Renewable Systems (ICEARS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics and Renewable Systems (ICEARS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2069517856","https://openalex.org/W2112315008","https://openalex.org/W2122111042","https://openalex.org/W2139086914","https://openalex.org/W2158040254","https://openalex.org/W2295598076","https://openalex.org/W2487770199","https://openalex.org/W2787894218","https://openalex.org/W4213251304","https://openalex.org/W4239510810","https://openalex.org/W4400195040","https://openalex.org/W4400762160"],"related_works":["https://openalex.org/W2104132255","https://openalex.org/W4415748041","https://openalex.org/W4416342482","https://openalex.org/W7118668192","https://openalex.org/W4406085760","https://openalex.org/W4389304751","https://openalex.org/W2900290513","https://openalex.org/W2330063765","https://openalex.org/W2794911861","https://openalex.org/W2038807724"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,79],"predictive":[4],"performance":[5],"of":[6,46,81],"several":[7],"machine":[8],"learning":[9],"models":[10,24],"using":[11],"a":[12,65],"large":[13],"and":[14,38,59],"detailed":[15],"fishing":[16],"effort":[17],"dataset":[18],"to":[19],"predict":[20],"species":[21,82],"distribution.":[22],"The":[23,41],"being":[25],"tested":[26],"are":[27,75],"Random":[28,50],"Forest,":[29],"Gradient":[30,57],"Boosting,":[31],"XGBoost,":[32],"Logistic":[33],"Regression,":[34],"SVM,":[35],"Naive":[36,61],"Bayes,":[37],"K-Nearest":[39],"Neighbors.":[40],"best":[42],"model":[43],"in":[44],"terms":[45],"prediction":[47,80],"accuracy":[48],"was":[49],"Forest":[51],"at":[52],"97.79%,":[53],"followed":[54],"closely":[55],"by":[56],"Boosting":[58],"XGBoost.":[60],"Bayes":[62],"also":[63],"exhibited":[64],"good":[66],"performance.":[67],"These":[68],"results":[69],"clearly":[70],"demonstrate":[71],"that":[72],"ensemble":[73],"methods":[74],"extremely":[76],"effective":[77],"for":[78],"distribution":[83],"from":[84],"ecological":[85],"datasets.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-04-03T00:00:00"}