{"id":"https://openalex.org/W4402011098","doi":"https://doi.org/10.1007/978-3-031-70359-1_11","title":"Improving the\u00a0Evaluation and\u00a0Actionability of\u00a0Explanation Methods for\u00a0Multivariate Time Series Classification","display_name":"Improving the\u00a0Evaluation and\u00a0Actionability of\u00a0Explanation Methods for\u00a0Multivariate Time Series Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402011098","doi":"https://doi.org/10.1007/978-3-031-70359-1_11"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-70359-1_11","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-70359-1_11","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":"hybrid","oa_url":"https://doi.org/10.1007/978-3-031-70359-1_11","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010982721","display_name":"Davide Italo Serramazza","orcid":"https://orcid.org/0000-0002-0227-8626"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Davide Italo Serramazza","raw_affiliation_strings":["School of Computer Science, University College Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040176369","display_name":"Thach Le Nguyen","orcid":"https://orcid.org/0000-0002-4532-0548"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Thach Le Nguyen","raw_affiliation_strings":["School of Computer Science, University College Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054845773","display_name":"Georgiana Ifrim","orcid":"https://orcid.org/0000-0002-8400-2972"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Georgiana Ifrim","raw_affiliation_strings":["School of Computer Science, University College Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010982721"],"corresponding_institution_ids":["https://openalex.org/I100930933"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":5.3341,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96736292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991999864578247,"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":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9876000285148621,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9782999753952026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7900158166885376},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6387263536453247},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6365808248519897},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4911503493785858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.441097617149353},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3815753161907196},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3042619228363037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7900158166885376},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6387263536453247},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6365808248519897},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4911503493785858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.441097617149353},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3815753161907196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3042619228363037},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-70359-1_11","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-70359-1_11","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-70359-1_11","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-70359-1_11","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2785373760","https://openalex.org/W2946507061","https://openalex.org/W2964446959","https://openalex.org/W2972324944","https://openalex.org/W2972537982","https://openalex.org/W2972810968","https://openalex.org/W2982438846","https://openalex.org/W2988244882","https://openalex.org/W3004401633","https://openalex.org/W3042807565","https://openalex.org/W3083046978","https://openalex.org/W3083891030","https://openalex.org/W3085380432","https://openalex.org/W3103878770","https://openalex.org/W3112330479","https://openalex.org/W3148150216","https://openalex.org/W3190461479","https://openalex.org/W3202364339","https://openalex.org/W4206640812","https://openalex.org/W4226421922","https://openalex.org/W4282554444","https://openalex.org/W4296437236","https://openalex.org/W4312105915","https://openalex.org/W4317734501","https://openalex.org/W4324032736","https://openalex.org/W4385572937","https://openalex.org/W4386465411","https://openalex.org/W4389980981","https://openalex.org/W4394729964","https://openalex.org/W4399863329"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W1919101720","https://openalex.org/W1570805059","https://openalex.org/W2118640767","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Explanation":[0],"for":[1,57,105,147],"Multivariate":[2],"Time":[3],"Series":[4],"Classification":[5],"(MTSC)":[6],"is":[7,12],"an":[8],"important":[9],"topic":[10],"that":[11,115],"under":[13],"explored.":[14],"There":[15],"are":[16,33],"very":[17],"few":[18],"quantitative":[19],"evaluation":[20,55,88],"methodologies":[21],"and":[22,72,80,89,121,132,134,149,155],"even":[23],"fewer":[24],"examples":[25],"of":[26,68,94,108,129],"actionable":[27],"explanation,":[28],"where":[29],"the":[30,69,92,95,101,106,140],"explanation":[31],"methods":[32,59,104,117],"shown":[34],"to":[35,61,75,144],"objectively":[36],"improve":[37,76],"specific":[38],"computational":[39],"tasks":[40,133],"on":[41,50],"time":[42],"series":[43],"data.":[44],"In":[45],"this":[46],"paper":[47],"we":[48,85],"focus":[49],"analyzing":[51],"InterpretTime,":[52],"a":[53,127],"recent":[54],"methodology":[56,71],"attribution":[58,103],"applied":[60],"MTSC.":[62,112],"We":[63,113,138],"showcase":[64,91],"some":[65],"significant":[66,151],"weaknesses":[67],"original":[70],"propose":[73],"ideas":[74],"both":[77],"its":[78],"accuracy":[79],"efficiency.":[81],"Unlike":[82],"related":[83],"work,":[84],"go":[86],"beyond":[87],"also":[90],"actionability":[93],"produced":[96],"explainer":[97],"ranking,":[98],"by":[99],"using":[100],"best":[102,141],"task":[107],"channel":[109,145],"selection":[110,146],"in":[111],"find":[114],"perturbation-based":[116],"such":[118],"as":[119],"SHAP":[120],"Feature":[122],"Ablation":[123],"work":[124],"well":[125],"across":[126],"set":[128],"datasets,":[130],"classifiers":[131],"outperform":[135],"gradient-based":[136],"methods.":[137],"apply":[139],"ranked":[142],"explainers":[143],"MTSC":[148],"show":[150],"data":[152],"size":[153],"reduction":[154],"improved":[156],"classifier":[157],"accuracy.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
