{"id":"https://openalex.org/W4400035807","doi":"https://doi.org/10.1109/eais58494.2024.10570005","title":"Long Short-term Cognitive Networks: An Empirical Performance Study","display_name":"Long Short-term Cognitive Networks: An Empirical Performance Study","publication_year":2024,"publication_date":"2024-05-23","ids":{"openalex":"https://openalex.org/W4400035807","doi":"https://doi.org/10.1109/eais58494.2024.10570005"},"language":"en","primary_location":{"id":"doi:10.1109/eais58494.2024.10570005","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/eais58494.2024.10570005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.tue.nl/ws/files/339726264/LSTCN_experiments_Spain.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036962111","display_name":"Gonzalo N\u00e1poles","orcid":"https://orcid.org/0000-0003-1936-3701"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gonzalo N\u00e1poles","raw_affiliation_strings":["Tilburg University Tilburg,Cognitive Science and Artificial Intelligence,The Netherlands","Cognitive Science and Artificial Intelligence, Tilburg University Tilburg, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tilburg University Tilburg,Cognitive Science and Artificial Intelligence,The Netherlands","institution_ids":["https://openalex.org/I193700539"]},{"raw_affiliation_string":"Cognitive Science and Artificial Intelligence, Tilburg University Tilburg, The Netherlands","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079498248","display_name":"Isel Grau","orcid":"https://orcid.org/0000-0002-8035-2887"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Isel Grau","raw_affiliation_strings":["Eindhoven University of Technology Eindhoven,Information Systems Group,The Netherlands","Information Systems Group, Eindhoven University of Technology Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology Eindhoven,Information Systems Group,The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Information Systems Group, Eindhoven University of Technology Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.6567000150680542,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.6567000150680542,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.6062999963760376,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.5615000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/term","display_name":"Term (time)","score":0.6910501718521118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581240296363831},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4335029423236847},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.42745763063430786},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1554468274116516},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11481583118438721},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10215631127357483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09540194272994995}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6910501718521118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581240296363831},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4335029423236847},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.42745763063430786},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1554468274116516},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11481583118438721},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10215631127357483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09540194272994995},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/eais58494.2024.10570005","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/eais58494.2024.10570005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-article"},{"id":"pmh:oai:tilburguniversity.edu:publications/a6765ec1-0bce-4628-9bf9-c1fe020766ed","is_oa":false,"landing_page_url":"https://research.tilburguniversity.edu/en/publications/a6765ec1-0bce-4628-9bf9-c1fe020766ed","pdf_url":null,"source":{"id":"https://openalex.org/S4306401490","display_name":"Research portal (Tilburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193700539","host_organization_name":"Tilburg University","host_organization_lineage":["https://openalex.org/I193700539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"N\u00e1poles, G & Grau, I 2024, Long Short-term Cognitive Networks : An Empirical Performance Study. in J A Iglesias Martinez, R D Baruah, D Kangin & P V De Campos Souza (eds), IEEE International Conference on Evolving and Adaptive Intelligent Systems 2024, EAIS 2024 - Proceedings. IEEE Conference on Evolving and Adaptive Intelligent Systems, pp. 1-8. https://doi.org/10.1109/EAIS58494.2024.10570005","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/2ea6cea2-b0fa-4782-b8a5-3866217db360","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/2ea6cea2-b0fa-4782-b8a5-3866217db360","pdf_url":"https://pure.tue.nl/ws/files/339726264/LSTCN_experiments_Spain.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"N\u00e1poles, G & Grau, I 2024, Long Short-term Cognitive Networks : An Empirical Performance Study. in J A Iglesias Martinez, R D Baruah, D Kangin & P V De Campos Souza (eds), 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2024., 10570005, Institute of Electrical and Electronics Engineers, 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Madrid, Spain, 23/05/24. https://doi.org/10.1109/EAIS58494.2024.10570005","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:zenodo.org:17100608","is_oa":true,"landing_page_url":"https://doi.org/10.1109/EAIS58494.2024.10570005","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/2ea6cea2-b0fa-4782-b8a5-3866217db360","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/2ea6cea2-b0fa-4782-b8a5-3866217db360","pdf_url":"https://pure.tue.nl/ws/files/339726264/LSTCN_experiments_Spain.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"N\u00e1poles, G & Grau, I 2024, Long Short-term Cognitive Networks : An Empirical Performance Study. in J A Iglesias Martinez, R D Baruah, D Kangin & P V De Campos Souza (eds), 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2024., 10570005, Institute of Electrical and Electronics Engineers, 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Madrid, Spain, 23/05/24. https://doi.org/10.1109/EAIS58494.2024.10570005","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2670390765","display_name":"ENFIELD: European Lighthouse to Manifest Trustworthy and Green AI","funder_award_id":"101120657","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400035807.pdf","grobid_xml":"https://content.openalex.org/works/W4400035807.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2095224843","https://openalex.org/W2157331557","https://openalex.org/W2498414400","https://openalex.org/W2563493533","https://openalex.org/W2617935313","https://openalex.org/W2748669035","https://openalex.org/W2802161886","https://openalex.org/W2890920893","https://openalex.org/W2904481397","https://openalex.org/W2950533047","https://openalex.org/W2961319904","https://openalex.org/W2994169213","https://openalex.org/W3011820530","https://openalex.org/W3032821910","https://openalex.org/W3033827217","https://openalex.org/W3039730552","https://openalex.org/W3040166285","https://openalex.org/W3047780863","https://openalex.org/W3082874580","https://openalex.org/W3091604364","https://openalex.org/W3164621419","https://openalex.org/W3174682978","https://openalex.org/W3176710525","https://openalex.org/W3181912721","https://openalex.org/W3213916870","https://openalex.org/W4252684946","https://openalex.org/W4293724696","https://openalex.org/W4306149342","https://openalex.org/W4312106306","https://openalex.org/W4314935923","https://openalex.org/W4377695286","https://openalex.org/W4380150152","https://openalex.org/W4385364953","https://openalex.org/W6637358919","https://openalex.org/W7005746583"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Long":[0,137],"Short-term":[1,138],"Cognitive":[2],"Networks":[3],"(LSTCNs)":[4],"are":[5,47,126],"recurrent":[6,163],"neural":[7,18,31,164],"networks":[8],"for":[9,39,64],"univariate":[10],"and":[11,33,100,111,140],"multivariate":[12],"time":[13,68,80,108],"series":[14,81,109],"forecasting.":[15],"This":[16],"interpretable":[17],"system":[19],"is":[20],"rooted":[21],"in":[22,26,145,151,171],"cognitive":[23],"mapping":[24],"formalism":[25],"the":[27,40,57,70,98,103,136,141,156,161,169],"sense":[28],"that":[29,82,120],"both":[30,97],"concepts":[32],"weights":[34,46],"have":[35,118],"a":[36],"precise":[37],"meaning":[38],"problem":[41],"being":[42],"modeled.":[43],"However,":[44,150],"its":[45],"not":[48],"constrained":[49],"to":[50,56,78,95],"any":[51],"specific":[52],"interval,":[53],"therefore":[54],"conferring":[55],"model":[58,105,158],"improved":[59],"approximation":[60],"capabilities.":[61],"Originally":[62],"designed":[63],"handling":[65],"very":[66],"long":[67],"series,":[69],"model\u2019s":[71],"performance":[72],"remains":[73],"unexplored":[74],"when":[75],"it":[76],"comes":[77],"shorter":[79],"often":[83],"describe":[84],"real-world":[85],"applications.":[86],"In":[87],"this":[88],"paper,":[89],"we":[90],"conduct":[91],"an":[92],"empirical":[93],"study":[94],"assess":[96],"efficacy":[99],"efficiency":[101],"of":[102,147,153],"LSTCN":[104,157],"using":[106],"25":[107],"datasets":[110],"different":[112],"prediction":[113],"horizons.":[114],"The":[115],"numerical":[116],"simulations":[117],"concluded":[119],"after":[121],"performing":[122],"hyper-parameter":[123],"tuning,":[124],"LSTCNs":[125],"as":[127,129,135,168],"powerful":[128],"state-of-the-art":[130],"deep":[131],"learning":[132],"algorithms,":[133],"such":[134],"Memory":[139],"Gated":[142],"Recurrent":[143],"Unit,":[144],"terms":[146,152],"forecasting":[148],"error.":[149],"training":[154],"time,":[155],"largely":[159],"outperforms":[160],"remaining":[162],"networks,":[165],"thus":[166],"emerging":[167],"winner":[170],"our":[172],"study.":[173]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
