{"id":"https://openalex.org/W4408790675","doi":"https://doi.org/10.1109/tmc.2025.3554035","title":"AIChronoLens: AI/ML Explainability for Time Series Forecasting in Mobile Networks","display_name":"AIChronoLens: AI/ML Explainability for Time Series Forecasting in Mobile Networks","publication_year":2025,"publication_date":"2025-03-24","ids":{"openalex":"https://openalex.org/W4408790675","doi":"https://doi.org/10.1109/tmc.2025.3554035"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3554035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3554035","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},"type":"article","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/A5067078043","display_name":"Pablo Fern\u00e1ndez P\u00e9rez","orcid":"https://orcid.org/0009-0009-5299-1057"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Fern\u00e1ndez P\u00e9rez","raw_affiliation_strings":["IMDEA Networks Institute, Madrid, Spain"],"raw_orcid":"https://orcid.org/0009-0009-5299-1057","affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073807871","display_name":"Claudio Fiandrino","orcid":"https://orcid.org/0000-0002-4323-4355"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Claudio Fiandrino","raw_affiliation_strings":["IMDEA Networks Institute, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-4323-4355","affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113330492","display_name":"Eloy P\u00e9rez G\u00f3mez","orcid":null},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Eloy P\u00e9rez G\u00f3mez","raw_affiliation_strings":["IMDEA Networks Institute, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106399376","display_name":"Hossein Mohammadalizadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Hossein Mohammadalizadeh","raw_affiliation_strings":["IMDEA Networks Institute, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057196170","display_name":"Marco Fiore","orcid":"https://orcid.org/0000-0002-0772-9967"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marco Fiore","raw_affiliation_strings":["IMDEA Networks Institute, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-0772-9967","affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064963698","display_name":"Joerg Widmer","orcid":"https://orcid.org/0000-0001-6667-8779"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joerg Widmer","raw_affiliation_strings":["IMDEA Networks Institute, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0001-6667-8779","affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802499160"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05157449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"8","first_page":"7757","last_page":"7772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9929999709129333,"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":0.9929999709129333,"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":0.9681000113487244,"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/T10799","display_name":"Data Visualization and Analytics","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7938616871833801},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5793688297271729},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5676056742668152},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.5068712830543518},{"id":"https://openalex.org/keywords/mobile-telephony","display_name":"Mobile telephony","score":0.41595005989074707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3460818827152252},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24852922558784485},{"id":"https://openalex.org/keywords/mobile-radio","display_name":"Mobile radio","score":0.2079509198665619},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.197271466255188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7938616871833801},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5793688297271729},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5676056742668152},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.5068712830543518},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.41595005989074707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3460818827152252},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24852922558784485},{"id":"https://openalex.org/C2781307350","wikidata":"https://www.wikidata.org/wiki/Q6887221","display_name":"Mobile radio","level":2,"score":0.2079509198665619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.197271466255188},{"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:10.1109/tmc.2025.3554035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3554035","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W391578156","https://openalex.org/W1987971958","https://openalex.org/W1989989024","https://openalex.org/W2064675550","https://openalex.org/W2079560958","https://openalex.org/W2084616221","https://openalex.org/W2095551575","https://openalex.org/W2194775991","https://openalex.org/W2516809705","https://openalex.org/W2741581007","https://openalex.org/W2744628735","https://openalex.org/W2752194699","https://openalex.org/W2785373760","https://openalex.org/W2896264804","https://openalex.org/W2907637692","https://openalex.org/W2912371381","https://openalex.org/W2917767525","https://openalex.org/W2963123635","https://openalex.org/W2963446712","https://openalex.org/W2971381425","https://openalex.org/W2973136764","https://openalex.org/W2999615587","https://openalex.org/W3005082831","https://openalex.org/W3011806746","https://openalex.org/W3033024620","https://openalex.org/W3033902456","https://openalex.org/W3042872596","https://openalex.org/W3043040891","https://openalex.org/W3043330351","https://openalex.org/W3047104333","https://openalex.org/W3113708632","https://openalex.org/W3138819813","https://openalex.org/W3156365820","https://openalex.org/W3156926928","https://openalex.org/W3158690073","https://openalex.org/W3174652091","https://openalex.org/W3186124329","https://openalex.org/W3186815747","https://openalex.org/W3192885377","https://openalex.org/W3198373439","https://openalex.org/W3200583622","https://openalex.org/W3207298831","https://openalex.org/W3209308485","https://openalex.org/W4220993791","https://openalex.org/W4280494938","https://openalex.org/W4283574120","https://openalex.org/W4283707969","https://openalex.org/W4285243919","https://openalex.org/W4286382585","https://openalex.org/W4288086393","https://openalex.org/W4295308277","https://openalex.org/W4307217312","https://openalex.org/W4312264015","https://openalex.org/W4315629972","https://openalex.org/W4317468716","https://openalex.org/W4322706873","https://openalex.org/W4324032736","https://openalex.org/W4382203079","https://openalex.org/W4386590666","https://openalex.org/W4386887590","https://openalex.org/W4389075787","https://openalex.org/W4394862853","https://openalex.org/W6734312481","https://openalex.org/W6736518430","https://openalex.org/W6737664043","https://openalex.org/W6737947904","https://openalex.org/W6761562718","https://openalex.org/W6762718338","https://openalex.org/W6793797138","https://openalex.org/W6802821011","https://openalex.org/W6846825190","https://openalex.org/W6870934798"],"related_works":["https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660","https://openalex.org/W4210272022","https://openalex.org/W1844259124","https://openalex.org/W1974440652","https://openalex.org/W1541175715","https://openalex.org/W565993663","https://openalex.org/W2326504464"],"abstract_inverted_index":{"Forecasting":[0],"is":[1],"increasingly":[2],"considered":[3],"a":[4,28,92],"fundamental":[5],"enabler":[6],"for":[7,31,43,80,141],"the":[8,65,73,101,105,114,125,146,161,164],"management":[9],"of":[10,59,61,64,104,116,128,163],"next-generation":[11],"mobile":[12,170],"networks.":[13],"While":[14],"deep":[15,112],"neural":[16],"networks":[17],"excel":[18],"at":[19],"short-":[20],"and":[21,46,120,154,184,197],"long-term":[22],"forecasting,":[23],"their":[24,57],"complexity":[25],"hinders":[26],"interpretability,":[27],"crucial":[29],"factor":[30],"production":[32],"deployment.":[33],"The":[34],"existing":[35],"EXplainable":[36,76],"Artificial":[37,77],"Intelligence":[38,78],"(XAI)":[39,79],"techniques,":[40],"primarily":[41],"designed":[42],"computer":[44],"vision":[45],"natural":[47],"language":[48],"processing,":[49],"struggle":[50],"with":[51,100,168,203],"time":[52,81,117,148],"series":[53,82,118,149],"data":[54],"due":[55],"to":[56,143,181,200],"lack":[58],"understanding":[60],"temporal":[62,102],"characteristics":[63],"input":[66],"data.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"take":[72],"research":[74],"on":[75],"forecasting":[83,150],"one":[84],"step":[85],"further":[86],"by":[87,192,198],"proposing":[88],"<sc":[89,107,134],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[90,108,135],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">AIChronoLens</small>,":[91],"new":[93],"tool":[94],"that":[95,133,176],"links":[96],"legacy":[97],"XAI":[98],"explanations":[99],"properties":[103],"input.":[106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">AIChronoLens</small>":[109],"allows":[110],"diving":[111],"into":[113],"behavior":[115],"predictors":[119],"spotting,":[121],"among":[122],"other":[123],"aspects,":[124],"hidden":[126],"causes":[127],"forecast":[129],"errors.":[130],"We":[131],"show":[132,185],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">AIChronoLens</small>\u2019s":[136],"output":[137],"can":[138,189],"be":[139,179,190],"utilized":[140],"meta-learning":[142],"predict":[144],"when":[145],"original":[147],"model":[151,174,187],"makes":[152],"errors":[153],"fix":[155],"them":[156],"in":[157],"advance,":[158],"thereby":[159],"improving":[160],"accuracy":[162],"predictors.":[165],"Extensive":[166],"evaluations":[167],"real-world":[169],"traffic":[171],"traces":[172],"pinpoint":[173],"behaviors":[175],"would":[177],"not":[178],"possible":[180],"identify":[182],"otherwise":[183],"how":[186],"performance":[188],"improved":[191],"32":[193],"%":[194,202],"upon":[195],"re-training":[196],"up":[199],"39":[201],"meta-learning.":[204]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
