{"id":"https://openalex.org/W4415056448","doi":"https://doi.org/10.1007/978-3-032-08317-3_3","title":"V-CEM: Bridging Performance and\u00a0Intervenability in\u00a0Concept-Based Models","display_name":"V-CEM: Bridging Performance and\u00a0Intervenability in\u00a0Concept-Based Models","publication_year":2025,"publication_date":"2025-10-11","ids":{"openalex":"https://openalex.org/W4415056448","doi":"https://doi.org/10.1007/978-3-032-08317-3_3"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-08317-3_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08317-3_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08317-3_3.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08317-3_3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119945929","display_name":"Francesco De Santis","orcid":"https://orcid.org/0009-0008-3501-963X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco De Santis","raw_affiliation_strings":["Politecnico di Torino, 10129, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, 10129, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088953993","display_name":"Gabriele Ciravegna","orcid":"https://orcid.org/0000-0002-6799-1043"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]},{"id":"https://openalex.org/I4210123319","display_name":"Italian institute for Genomic Medicine","ror":"https://ror.org/036054d36","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210123319"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Ciravegna","raw_affiliation_strings":["Centai Institute, 10138, Turin, Italy","Politecnico di Torino, 10129, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Centai Institute, 10138, Turin, Italy","institution_ids":["https://openalex.org/I4210123319"]},{"raw_affiliation_string":"Politecnico di Torino, 10129, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077048500","display_name":"Philippe Bich","orcid":"https://orcid.org/0000-0002-3772-4817"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Philippe Bich","raw_affiliation_strings":["Politecnico di Torino, 10129, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, 10129, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032846694","display_name":"Danilo Giordano","orcid":"https://orcid.org/0000-0002-6987-2064"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Danilo Giordano","raw_affiliation_strings":["Politecnico di Torino, 10129, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, 10129, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053742461","display_name":"Tania Cerquitelli","orcid":"https://orcid.org/0000-0002-9039-6226"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tania Cerquitelli","raw_affiliation_strings":["Politecnico di Torino, 10129, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, 10129, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5119945929"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6254599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9959999918937683,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8791999816894531},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.63919997215271},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5949000120162964},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5637999773025513},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5289000272750854},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5203999876976013},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4839000105857849},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.4661000072956085}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8791999816894531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746399998664856},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.63919997215271},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5949000120162964},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5637999773025513},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5289000272750854},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5203999876976013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49810001254081726},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4839000105857849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4812999963760376},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.4661000072956085},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.44999998807907104},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44119998812675476},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3156000077724457},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.27140000462532043},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C14641543","wikidata":"https://www.wikidata.org/wiki/Q553270","display_name":"Group cohesiveness","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.2563999891281128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-08317-3_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08317-3_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08317-3_3.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-032-08317-3_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08317-3_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08317-3_3.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415056448.pdf","grobid_xml":"https://content.openalex.org/works/W4415056448.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2945976633","https://openalex.org/W3188740654"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Concept-based":[1],"eXplainable":[2],"AI":[3,13],"(C-XAI)":[4],"is":[5],"a":[6,163],"rapidly":[7],"growing":[8],"research":[9],"field":[10],"that":[11,179],"enhances":[12,25],"model":[14,26,138],"interpretability":[15,200],"by":[16,89],"leveraging":[17],"intermediate,":[18],"human-understandable":[19],"concepts.":[20,63],"This":[21],"approach":[22],"not":[23],"only":[24],"transparency":[27],"but":[28,104],"also":[29],"enables":[30],"human":[31],"intervention,":[32,73],"allowing":[33],"users":[34],"to":[35,40,60,76,129,167,190],"interact":[36],"with":[37,72],"these":[38],"concepts":[39,53],"refine":[41],"and":[42,97,142,155,158,202],"improve":[43,130],"the":[44,78,106,119,169,172,197],"model\u2019s":[45],"performance.":[46],"Concept":[47,83,121,159],"Bottleneck":[48],"Models":[49,85],"(CBMs)":[50],"explicitly":[51],"predict":[52],"before":[54],"making":[55],"final":[56],"decisions,":[57],"enabling":[58],"interventions":[59],"correct":[61],"misclassified":[62],"While":[64],"CBMs":[65],"remain":[66],"effective":[67],"in":[68,111,133,145,152,192],"Out-Of-Distribution":[69],"(OOD)":[70],"settings":[71],"they":[74],"struggle":[75],"match":[77],"performance":[79,184],"of":[80,108,147,171],"black-box":[81],"models.":[82],"Embedding":[84,122],"(CEMs)":[86],"address":[87],"this":[88,115],"learning":[90],"concept":[91,95,173],"embeddings":[92],"from":[93],"both":[94,153],"predictions":[96],"input":[98],"data,":[99],"enhancing":[100],"In-Distribution":[101],"(ID)":[102],"accuracy":[103],"reducing":[105,196],"effectiveness":[107,188],"interventions,":[109],"especially":[110],"OOD":[112,156,193],"scenarios.":[113],"In":[114],"work,":[116],"we":[117,165],"propose":[118,166],"Variational":[120],"Model":[123],"(V-CEM),":[124],"which":[125],"leverages":[126],"variational":[127],"inference":[128],"intervention":[131,150,187],"responsiveness":[132,151],"CEMs.":[134],"We":[135],"evaluated":[136],"our":[137],"on":[139],"various":[140],"textual":[141],"visual":[143],"datasets":[144],"terms":[146],"ID":[148,154,183],"performance,":[149],"settings,":[157,194],"Representation":[160],"Cohesiveness":[161],"(CRC),":[162],"metric":[164],"assess":[168],"quality":[170],"embedding":[174],"representations.":[175],"The":[176],"results":[177],"demonstrate":[178],"V-CEM":[180],"retains":[181],"CEM-level":[182],"while":[185],"achieving":[186],"similar":[189],"CBM":[191],"effectively":[195],"gap":[198],"between":[199],"(intervention)":[201],"generalization":[203],"(performance).":[204]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-11T00:00:00"}