{"id":"https://openalex.org/W4402034484","doi":"https://doi.org/10.1007/978-3-031-70341-6_1","title":"Adaptive Sparsity Level During Training for\u00a0Efficient Time Series Forecasting with\u00a0Transformers","display_name":"Adaptive Sparsity Level During Training for\u00a0Efficient Time Series Forecasting with\u00a0Transformers","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402034484","doi":"https://doi.org/10.1007/978-3-031-70341-6_1"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-70341-6_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-70341-6_1","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orbilu.uni.lu/bitstream/10993/59769/1/2305.18382.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005758969","display_name":"Zahra Atashgahi","orcid":"https://orcid.org/0000-0001-8183-5541"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Zahra Atashgahi","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022601535","display_name":"Mykola Pechenizkiy","orcid":"https://orcid.org/0000-0003-4955-0743"},"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":"Mykola Pechenizkiy","raw_affiliation_strings":["Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031138348","display_name":"Raymond Veldhuis","orcid":"https://orcid.org/0000-0002-0381-5235"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Raymond Veldhuis","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011045254","display_name":"Decebal Constantin Mocanu","orcid":"https://orcid.org/0000-0002-5636-7683"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]},{"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":["LU","NL"],"is_corresponding":false,"raw_author_name":"Decebal Constantin Mocanu","raw_affiliation_strings":["Department of Computer Science, University of Luxembourg, Esch-sur-Alzette, Luxembourg","Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Luxembourg, Esch-sur-Alzette, Luxembourg","institution_ids":["https://openalex.org/I186903577"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005758969"],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.9616,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86456559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7996606826782227},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5655032992362976},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.534890353679657},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.48717233538627625},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4174312651157379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3479963541030884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2629837691783905},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1691204011440277},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.10072857141494751},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07304036617279053},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0573638379573822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996606826782227},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5655032992362976},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.534890353679657},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.48717233538627625},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4174312651157379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3479963541030884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2629837691783905},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1691204011440277},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.10072857141494751},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07304036617279053},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0573638379573822},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-031-70341-6_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-70341-6_1","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:ris.utwente.nl:publications/d19d6f89-6ed7-4bea-91da-6739df1a3eda","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/d19d6f89-6ed7-4bea-91da-6739df1a3eda","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Atashgahi, Z, Pechenizkiy, M, Veldhuis, R & Mocanu, D C 2024, Adaptive Sparsity Level During Training for\u00a0Efficient Time Series Forecasting with\u00a0Transformers. in A Bifet, J Davis, T Krilavi\u010dius, M Kull, E Ntoutsi & I \u017dliobait\u0117 (eds), Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Proceedings : European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9\u201313, 2024, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14941 LNAI, Springer, pp. 3-20, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2024, Vilnius, Lithuania, 9/09/24. https://doi.org/10.1007/978-3-031-70341-6_1","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:orbilu.uni.lu:10993/59769","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/59769","pdf_url":"https://orbilu.uni.lu/bitstream/10993/59769/1/2305.18382.pdf","source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"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":"ECMLPKDD 2024: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2024); ECMLPKDD 2024: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Vilnius, Lithuania [LT], from 9 to 13 September 2024","raw_type":"peer reviewed"}],"best_oa_location":{"id":"pmh:oai:orbilu.uni.lu:10993/59769","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/59769","pdf_url":"https://orbilu.uni.lu/bitstream/10993/59769/1/2305.18382.pdf","source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"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":"ECMLPKDD 2024: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2024); ECMLPKDD 2024: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Vilnius, Lithuania [LT], from 9 to 13 September 2024","raw_type":"peer reviewed"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4402034484.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2096571934","https://openalex.org/W2099302229","https://openalex.org/W2337788193","https://openalex.org/W2589646680","https://openalex.org/W2604847698","https://openalex.org/W2613328025","https://openalex.org/W2808133870","https://openalex.org/W2954731415","https://openalex.org/W2965981069","https://openalex.org/W2979826702","https://openalex.org/W2980994438","https://openalex.org/W3007007518","https://openalex.org/W3022643593","https://openalex.org/W3034340181","https://openalex.org/W3037032032","https://openalex.org/W3044749682","https://openalex.org/W3085139254","https://openalex.org/W3101959160","https://openalex.org/W3103754749","https://openalex.org/W3114782072","https://openalex.org/W3128124761","https://openalex.org/W3130658283","https://openalex.org/W3132782787","https://openalex.org/W3163652268","https://openalex.org/W3173989853","https://openalex.org/W3175195442","https://openalex.org/W3177318507","https://openalex.org/W3208413417","https://openalex.org/W3209017628","https://openalex.org/W4284977989","https://openalex.org/W4312089854","https://openalex.org/W4382239356","https://openalex.org/W6600194071","https://openalex.org/W6600424091","https://openalex.org/W6604472716","https://openalex.org/W6605363982","https://openalex.org/W6632575151","https://openalex.org/W6739901393","https://openalex.org/W6752881527","https://openalex.org/W6889955440"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
