{"id":"https://openalex.org/W4394773033","doi":"https://doi.org/10.1007/978-3-031-56107-8_11","title":"Sparse Mixtures of\u00a0Shallow Linear Experts for\u00a0Interpretable and\u00a0Fast Outcome Prediction","display_name":"Sparse Mixtures of\u00a0Shallow Linear Experts for\u00a0Interpretable and\u00a0Fast Outcome Prediction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394773033","doi":"https://doi.org/10.1007/978-3-031-56107-8_11"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-56107-8_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-56107-8_11","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},"type":"conference-paper","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/A5022488945","display_name":"Francesco Folino","orcid":"https://orcid.org/0000-0002-4952-1187"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Folino","raw_affiliation_strings":["Institute for High Performance Computing and Networking (ICAR-CNR), via P. Bucci 8/9C, 87036, Rende, CS, Italy"],"raw_orcid":"https://orcid.org/0000-0002-4952-1187","affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking (ICAR-CNR), via P. Bucci 8/9C, 87036, Rende, CS, Italy","institution_ids":["https://openalex.org/I3005160176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051833173","display_name":"Luigi Pontieri","orcid":"https://orcid.org/0000-0003-4513-0362"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Luigi Pontieri","raw_affiliation_strings":["Institute for High Performance Computing and Networking (ICAR-CNR), via P. Bucci 8/9C, 87036, Rende, CS, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4513-0362","affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking (ICAR-CNR), via P. Bucci 8/9C, 87036, Rende, CS, Italy","institution_ids":["https://openalex.org/I3005160176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042039518","display_name":"Pietro Sabatino","orcid":"https://orcid.org/0009-0005-9454-5910"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Sabatino","raw_affiliation_strings":["Institute for High Performance Computing and Networking (ICAR-CNR), via P. Bucci 8/9C, 87036, Rende, CS, Italy"],"raw_orcid":"https://orcid.org/0009-0005-9454-5910","affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking (ICAR-CNR), via P. Bucci 8/9C, 87036, Rende, CS, Italy","institution_ids":["https://openalex.org/I3005160176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051833173"],"corresponding_institution_ids":["https://openalex.org/I3005160176"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9904000163078308,"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":0.9904000163078308,"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/T11719","display_name":"Data Quality and Management","score":0.984000027179718,"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"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8683491945266724},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.7116779088973999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.674629807472229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.659878134727478},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6522715091705322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.607953667640686},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5680826306343079},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5558301210403442},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5520485043525696},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.47756654024124146},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4546610713005066},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43903884291648865},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4279961884021759},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.42376935482025146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40523701906204224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18078145384788513},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06780093908309937}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8683491945266724},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.7116779088973999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.674629807472229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.659878134727478},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6522715091705322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.607953667640686},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5680826306343079},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5558301210403442},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5520485043525696},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.47756654024124146},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4546610713005066},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43903884291648865},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4279961884021759},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.42376935482025146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40523701906204224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18078145384788513},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06780093908309937},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-56107-8_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-56107-8_11","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2150884987","https://openalex.org/W2767387808","https://openalex.org/W2771484234","https://openalex.org/W2911649894","https://openalex.org/W2964066696","https://openalex.org/W3048310814","https://openalex.org/W3083127930","https://openalex.org/W3083147251","https://openalex.org/W3092305337","https://openalex.org/W3094626345","https://openalex.org/W3103416301","https://openalex.org/W3157950068","https://openalex.org/W3197963420","https://openalex.org/W3208260548","https://openalex.org/W4226047899","https://openalex.org/W4285175926","https://openalex.org/W4285543424","https://openalex.org/W4292291625","https://openalex.org/W4386736435","https://openalex.org/W4386764751"],"related_works":["https://openalex.org/W4361806667","https://openalex.org/W4293151273","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W4366990902","https://openalex.org/W2117019857","https://openalex.org/W4317732970"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}