{"id":"https://openalex.org/W4415524354","doi":"https://doi.org/10.1109/mlsp62443.2025.11204313","title":"Post-Inference Guided Transformer for Anomaly Interval Localization in Multivariate Time Series","display_name":"Post-Inference Guided Transformer for Anomaly Interval Localization in Multivariate Time Series","publication_year":2025,"publication_date":"2025-08-31","ids":{"openalex":"https://openalex.org/W4415524354","doi":"https://doi.org/10.1109/mlsp62443.2025.11204313"},"language":null,"primary_location":{"id":"doi:10.1109/mlsp62443.2025.11204313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp62443.2025.11204313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11511/116689","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120126680","display_name":"G\u00f6ksu Uzunt\u00fcrk","orcid":null},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"G\u00f6ksu Uzunt\u00fcrk","raw_affiliation_strings":["Graduate School of Informatics, Middle East Technical University,Ankara,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Middle East Technical University,Ankara,Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064355568","display_name":"Tu\u011fba Ta\u015fkaya Temizel","orcid":"https://orcid.org/0000-0001-7387-8621"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tu\u011fba Ta\u015fkaya Temizel","raw_affiliation_strings":["Graduate School of Informatics, Middle East Technical University,Ankara,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Middle East Technical University,Ankara,Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9901000261306763,"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":0.9901000261306763,"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":0.9828000068664551,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6430000066757202},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.559499979019165},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.557200014591217},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5115000009536743},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.48919999599456787},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.47530001401901245},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4472000002861023},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4462999999523163}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6430000066757202},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5819000005722046},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.559499979019165},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.557200014591217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5285000205039978},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5115000009536743},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.48919999599456787},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.47530001401901245},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4472000002861023},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4462999999523163},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41449999809265137},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.41040000319480896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4059000015258789},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38999998569488525},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36169999837875366},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29580000042915344},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.25699999928474426}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mlsp62443.2025.11204313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp62443.2025.11204313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:https://open.metu.edu.tr:11511/116689","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/116689","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"35th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2025","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:https://open.metu.edu.tr:11511/116689","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/116689","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"35th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2025","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2100495367","https://openalex.org/W2535642622","https://openalex.org/W2599354622","https://openalex.org/W2767106145","https://openalex.org/W2936503027","https://openalex.org/W2988290054","https://openalex.org/W2995619225","https://openalex.org/W3015316773","https://openalex.org/W3080909084","https://openalex.org/W3198800015","https://openalex.org/W4283318673","https://openalex.org/W4312377605","https://openalex.org/W4317496075","https://openalex.org/W4385245566","https://openalex.org/W4388451055","https://openalex.org/W4388797346","https://openalex.org/W4391054868","https://openalex.org/W4392365138","https://openalex.org/W4401656339","https://openalex.org/W4403421899"],"related_works":[],"abstract_inverted_index":{"Range-based":[0],"anomaly":[1,35],"detection":[2,36],"in":[3,110],"multivariate":[4],"time":[5],"series":[6],"is":[7],"critical":[8],"for":[9,31],"real-world":[10],"applications":[11],"such":[12],"as":[13],"industrial":[14],"monitoring,":[15],"where":[16],"anomalies":[17],"often":[18],"span":[19],"intervals":[20],"and":[21,45,62,101],"exhibit":[22],"distinct":[23],"types.":[24],"We":[25,76],"propose":[26],"a":[27,53,64,107],"transformer-based":[28],"framework":[29],"designed":[30],"highly":[32],"imbalanced,":[33],"multiclass":[34,91],"at":[37],"the":[38,81],"range":[39],"level.":[40],"To":[41],"improve":[42],"prediction":[43],"stability":[44],"coherence,":[46],"we":[47],"introduce":[48],"two":[49],"post-inference":[50],"strategies:":[51],"(i)":[52],"majority":[54],"voting":[55],"mechanism":[56],"to":[57,72,89,106],"consolidate":[58],"overlapping":[59],"multi-step":[60],"predictions,":[61],"(ii)":[63],"transition-aware":[65],"masking":[66],"scheme":[67],"that":[68],"applies":[69],"domain-specific":[70],"rules":[71],"constrain":[73],"class":[74],"transitions.":[75],"evaluate":[77],"our":[78,96],"method":[79],"on":[80],"Exathlon":[82],"benchmark,":[83],"extending":[84],"its":[85],"original":[86],"binary":[87,94],"protocol":[88],"support":[90],"assessment.":[92],"Under":[93],"evaluation,":[95],"approach":[97],"outperforms":[98],"standard":[99],"forecasting-":[100],"reconstruction-based":[102],"baselines,":[103],"achieving":[104],"up":[105],"24%":[108],"improvement":[109],"F1":[111],"score.":[112]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-24T00:00:00"}