{"id":"https://openalex.org/W4408185082","doi":"https://doi.org/10.1007/s10994-024-06733-6","title":"An end-to-end explainability framework for spatio-temporal predictive modeling","display_name":"An end-to-end explainability framework for spatio-temporal predictive modeling","publication_year":2025,"publication_date":"2025-03-06","ids":{"openalex":"https://openalex.org/W4408185082","doi":"https://doi.org/10.1007/s10994-024-06733-6"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-024-06733-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-024-06733-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06733-6.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06733-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068992876","display_name":"Massimiliano Altieri","orcid":"https://orcid.org/0000-0002-7226-8036"},"institutions":[{"id":"https://openalex.org/I4210152452","display_name":"Consorzio Interuniversitario Nazionale per l'Informatica","ror":"https://ror.org/03v8v5y65","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210152452"]},{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Massimiliano Altieri","raw_affiliation_strings":["Big Data Lab, National Interuniversity Consortium for Informatics (CINI), Rome, Italy","Department of Computer Science, University of Bari Aldo Moro, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Big Data Lab, National Interuniversity Consortium for Informatics (CINI), Rome, Italy","institution_ids":["https://openalex.org/I4210152452"]},{"raw_affiliation_string":"Department of Computer Science, University of Bari Aldo Moro, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073750332","display_name":"Michelangelo Ceci","orcid":"https://orcid.org/0000-0002-6690-7583"},"institutions":[{"id":"https://openalex.org/I4210152452","display_name":"Consorzio Interuniversitario Nazionale per l'Informatica","ror":"https://ror.org/03v8v5y65","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210152452"]},{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]},{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["IT","SI"],"is_corresponding":false,"raw_author_name":"Michelangelo Ceci","raw_affiliation_strings":["Big Data Lab, National Interuniversity Consortium for Informatics (CINI), Rome, Italy","Department of Computer Science, University of Bari Aldo Moro, Bari, Italy","Department of Knowledge Technologies, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Big Data Lab, National Interuniversity Consortium for Informatics (CINI), Rome, Italy","institution_ids":["https://openalex.org/I4210152452"]},{"raw_affiliation_string":"Department of Computer Science, University of Bari Aldo Moro, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]},{"raw_affiliation_string":"Department of Knowledge Technologies, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010914442","display_name":"Roberto Corizzo","orcid":"https://orcid.org/0000-0001-8366-6059"},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roberto Corizzo","raw_affiliation_strings":["Department of Computer Science, American University, Washington, DC, 20016, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, American University, Washington, DC, 20016, USA","institution_ids":["https://openalex.org/I181401687"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068992876"],"corresponding_institution_ids":["https://openalex.org/I4210152452","https://openalex.org/I5561750"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":11.3657,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.9780791,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"114","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9969000220298767,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9969000220298767,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/end-to-end-principle","display_name":"End-to-end principle","score":0.8255178928375244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4779122769832611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32730305194854736}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.8255178928375244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4779122769832611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32730305194854736}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-024-06733-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-024-06733-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06733-6.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-024-06733-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-024-06733-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-024-06733-6.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4508289328","display_name":null,"funder_award_id":"PE00000013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320312240","display_name":"American University","ror":"https://ror.org/052w4zt36"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408185082.pdf"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W2282821441","https://openalex.org/W2294798173","https://openalex.org/W2323909273","https://openalex.org/W2508380041","https://openalex.org/W2605409611","https://openalex.org/W2618851150","https://openalex.org/W2754880706","https://openalex.org/W2891503716","https://openalex.org/W2907492528","https://openalex.org/W2909406056","https://openalex.org/W2911964244","https://openalex.org/W2921802966","https://openalex.org/W2945475836","https://openalex.org/W2962858109","https://openalex.org/W2963072899","https://openalex.org/W2970119293","https://openalex.org/W2979481854","https://openalex.org/W2990138404","https://openalex.org/W2990955039","https://openalex.org/W2999615587","https://openalex.org/W3000120900","https://openalex.org/W3021538729","https://openalex.org/W3080995048","https://openalex.org/W3083959162","https://openalex.org/W3094052018","https://openalex.org/W3115103108","https://openalex.org/W3116637551","https://openalex.org/W3117573952","https://openalex.org/W3148107757","https://openalex.org/W3164894090","https://openalex.org/W3171884590","https://openalex.org/W3175110185","https://openalex.org/W3186628481","https://openalex.org/W3190511629","https://openalex.org/W3197161284","https://openalex.org/W3202811093","https://openalex.org/W3203241679","https://openalex.org/W3204640259","https://openalex.org/W4200049315","https://openalex.org/W4206236431","https://openalex.org/W4214913711","https://openalex.org/W4225406302","https://openalex.org/W4233045210","https://openalex.org/W4241614188","https://openalex.org/W4283721567","https://openalex.org/W4285412209","https://openalex.org/W4296704829","https://openalex.org/W4306743581","https://openalex.org/W4313421210","https://openalex.org/W4318187631","https://openalex.org/W4366262984","https://openalex.org/W4366390417","https://openalex.org/W4379880196","https://openalex.org/W4380989681","https://openalex.org/W4386041419","https://openalex.org/W4387171271","https://openalex.org/W4387430244","https://openalex.org/W4388242026","https://openalex.org/W4391492407","https://openalex.org/W4391848979","https://openalex.org/W6602254124","https://openalex.org/W6683646768","https://openalex.org/W6771793280","https://openalex.org/W6786048916"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"rising":[2],"adoption":[3],"of":[4,146],"AI":[5,31],"models":[6,43,106],"in":[7,26,61,83],"real-world":[8,136],"applications":[9],"characterized":[10],"by":[11,73],"sensor":[12,84],"data":[13,58,82],"creates":[14],"an":[15],"urgent":[16],"need":[17],"for":[18,53,80,103],"inference":[19,46],"explanation":[20,47],"mechanisms":[21],"to":[22,38],"support":[23],"domain":[24],"experts":[25],"making":[27],"informed":[28],"decisions.":[29],"Explainable":[30],"(XAI)":[32],"opens":[33],"up":[34],"a":[35,75],"new":[36],"opportunity":[37],"extend":[39],"black-box":[40],"deep":[41,104],"learning":[42,105],"with":[44,63,135,152],"such":[45,123],"capabilities.":[48],"However,":[49],"existing":[50],"XAI":[51,76],"approaches":[52],"tabular,":[54],"image,":[55],"and":[56,94,114,127,132,149],"graph":[57],"are":[59,88],"ineffective":[60],"contexts":[62],"spatio-temporal":[64,81],"data.":[65],"In":[66],"this":[67,71],"paper,":[68],"we":[69],"fill":[70],"gap":[72],"proposing":[74],"method":[77,102],"specifically":[78],"tailored":[79],"networks,":[85],"where":[86],"observations":[87],"collected":[89],"at":[90,95],"regular":[91],"time":[92],"intervals":[93],"different":[96],"locations.":[97,129],"Our":[98,130],"model-agnostic":[99],"masking":[100],"meta-optimization":[101],"uncovers":[107],"global":[108],"salient":[109],"factors":[110],"influencing":[111],"model":[112,147],"predictions,":[113,148],"generates":[115],"explanations":[116,145],"taking":[117],"into":[118],"account":[119],"multiple":[120],"analytical":[121],"views,":[122],"as":[124],"features,":[125],"timesteps,":[126],"node":[128],"qualitative":[131],"quantitative":[133],"experiments":[134],"forecasting":[137],"datasets":[138],"show":[139],"that":[140],"our":[141],"approach":[142],"effectively":[143],"extracts":[144],"is":[150],"competitive":[151],"state-of-the-art":[153],"approaches.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
