{"id":"https://openalex.org/W2889541249","doi":"https://doi.org/10.3233/978-1-61499-900-3-361","title":"Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks","display_name":"Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2889541249","doi":"https://doi.org/10.3233/978-1-61499-900-3-361","mag":"2889541249"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-900-3-361","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-900-3-361","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5037345774","display_name":"Daniel Urda","orcid":"https://orcid.org/0000-0003-2662-798X"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Urda Daniel","raw_affiliation_strings":["Universidad de M\u00e1laga, M\u00e1laga, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009946045","display_name":"Jos\u00e9 M. Jerez","orcid":"https://orcid.org/0000-0002-7858-2966"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jerez Jose M.","raw_affiliation_strings":["Universidad de M\u00e1laga, M\u00e1laga, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028082915","display_name":"Ignacio J. Turias","orcid":"https://orcid.org/0000-0003-4627-0252"},"institutions":[{"id":"https://openalex.org/I39147953","display_name":"Universidad de C\u00e1diz","ror":"https://ror.org/04mxxkb11","country_code":"ES","type":"education","lineage":["https://openalex.org/I39147953"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Turias Ignacio J.","raw_affiliation_strings":["Universidad de C\u00e1diz, Cadiz, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de C\u00e1diz, Cadiz, Spain","institution_ids":["https://openalex.org/I39147953"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037345774"],"corresponding_institution_ids":["https://openalex.org/I82767444"],"apc_list":null,"apc_paid":null,"fwci":0.5147,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67822952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.47920000553131104,"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/T10320","display_name":"Neural Networks and Applications","score":0.47920000553131104,"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/dimension","display_name":"Dimension (graph theory)","score":0.7027918696403503},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6668703556060791},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4499628245830536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43589192628860474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4292657971382141},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2330220341682434},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.04415592551231384}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.7027918696403503},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6668703556060791},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4499628245830536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43589192628860474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4292657971382141},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2330220341682434},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.04415592551231384}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-900-3-361","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-900-3-361","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:2889541249","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/somet/somet2018.html#UrdaJT18","pdf_url":null,"source":{"id":"https://openalex.org/S4306420615","display_name":"New Trends in Software Methodologies, Tools and Techniques","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"New Trends in Software Methodologies, Tools and Techniques","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Deep":[0,12],"learning":[1],"provides":[2],"a":[3,37,72,91,95,133],"variety":[4],"of":[5,36,61,71,86,100,120,138],"neural":[6,41],"network":[7,113],"based":[8,80],"models,":[9],"known":[10],"as":[11],"Neural":[13],"Networks":[14],"(DNNs),":[15],"which":[16,124],"are":[17,125],"being":[18],"successfully":[19],"used":[20,56],"in":[21,98,136],"several":[22],"domains":[23],"to":[24,57,111,127],"build":[25],"highly":[26],"accurate":[27],"predictors":[28],"from":[29],"data.":[30],"In":[31,49],"particular,":[32],"the":[33,59,68,87,101,112,117,128],"predictive":[34,69],"performance":[35,70],"dense":[38],"fully-connected":[39],"multi-layer":[40],"networks":[42],"may":[43,131],"vary":[44],"depending":[45],"on":[46,67,81],"some":[47],"factors.":[48],"this":[50],"paper,":[51],"18":[52],"synthetic":[53],"datasets":[54],"were":[55],"test":[58],"effect":[60],"data":[62,65],"dimension":[63],"and":[64,75,115,141],"structure":[66],"standard":[73,96],"DNN":[74,78,97],"an":[76],"architecture-constrained":[77],"(c-DNN)":[79],"problem-specific":[82],"information.":[83],"The":[84],"results":[85],"analysis":[88],"showed":[89],"that":[90,107],"c-DNN":[92],"clearly":[93],"outperforms":[94],"most":[99],"cases":[102],"considered.":[103],"Moreover,":[104],"it":[105],"suggested":[106],"both":[108],"adding":[109],"constraints":[110],"architecture":[114],"having":[116],"lowest":[118],"number":[119],"input":[121],"features":[122],"possible":[123],"relevant":[126],"problem":[129],"addressed":[130],"have":[132],"positive":[134],"impact":[135],"terms":[137],"reducing":[139],"overfitting":[140],"getting":[142],"better":[143],"prediction":[144],"results.":[145]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-09-07T00:00:00"}
