{"id":"https://openalex.org/W4406798094","doi":"https://doi.org/10.1145/3715150","title":"An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation","display_name":"An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation","publication_year":2025,"publication_date":"2025-01-24","ids":{"openalex":"https://openalex.org/W4406798094","doi":"https://doi.org/10.1145/3715150"},"language":"en","primary_location":{"id":"doi:10.1145/3715150","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715150","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5051055133","display_name":"Mengzhuo Guo","orcid":"https://orcid.org/0000-0003-3559-733X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengzhuo Guo","raw_affiliation_strings":["Business School, Sichuan University, Chengdu, China","Business School, Sichuan University, China"],"raw_orcid":"https://orcid.org/0000-0003-3559-733X","affiliations":[{"raw_affiliation_string":"Business School, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Business School, Sichuan University, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052391290","display_name":"Qingpeng Zhang","orcid":"https://orcid.org/0000-0002-6819-0686"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qingpeng Zhang","raw_affiliation_strings":["Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong, Hong Kong","Musketeers Foundation Institute of Data Science and LKS Faculty of Medicine, The University of Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-6819-0686","affiliations":[{"raw_affiliation_string":"Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Musketeers Foundation Institute of Data Science and LKS Faculty of Medicine, The University of Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038521974","display_name":"Daniel Zeng","orcid":"https://orcid.org/0000-0002-9046-222X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel Dajun Zeng","raw_affiliation_strings":["Institute of Automation Chinese Academy of Sciences, Beijing, China","The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0002-9046-222X","affiliations":[{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8098,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92374496,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"19","issue":"3","first_page":"1","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9980000257492065,"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":0.9980000257492065,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9907000064849854,"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/T10320","display_name":"Neural Networks and Applications","score":0.9905999898910522,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.5751665234565735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4830511212348938},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.4443413019180298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4391043782234192},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4333462715148926},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.41817939281463623},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41729307174682617},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33298468589782715}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5751665234565735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4830511212348938},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.4443413019180298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4391043782234192},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4333462715148926},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.41817939281463623},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41729307174682617},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33298468589782715},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3715150","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715150","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},{"id":"pmh:oai:hub.hku.hk:10722/367039","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/367039","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G2084771231","display_name":null,"funder_award_id":"72401210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2324475954","display_name":null,"funder_award_id":"72371176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3669904865","display_name":"\u6291\u90c1\u75c7\u60a3\u8005\u5728\u7ebf\u884c\u4e3a\u5efa\u6a21\u53ca\u5176\u6291\u90c1\u4e25\u91cd\u7a0b\u5ea6\u9884\u6d4b","funder_award_id":"71972164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4883979121","display_name":null,"funder_award_id":"72401210, 71972164, 72371176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7318058643","display_name":null,"funder_award_id":"2024M752282","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1989839940","https://openalex.org/W1996796871","https://openalex.org/W2040870580","https://openalex.org/W2046945713","https://openalex.org/W2089249982","https://openalex.org/W2106059289","https://openalex.org/W2106067233","https://openalex.org/W2107530554","https://openalex.org/W2118022153","https://openalex.org/W2126034719","https://openalex.org/W2135046866","https://openalex.org/W2149033360","https://openalex.org/W2164274202","https://openalex.org/W2166163519","https://openalex.org/W2178225550","https://openalex.org/W2187281534","https://openalex.org/W2282821441","https://openalex.org/W2475334473","https://openalex.org/W2604738573","https://openalex.org/W2615126436","https://openalex.org/W2618851150","https://openalex.org/W2670253439","https://openalex.org/W2788403449","https://openalex.org/W2800415562","https://openalex.org/W2803744611","https://openalex.org/W2890966191","https://openalex.org/W2900806287","https://openalex.org/W2910705748","https://openalex.org/W2919115771","https://openalex.org/W2940193529","https://openalex.org/W2943982549","https://openalex.org/W2945976633","https://openalex.org/W2947404296","https://openalex.org/W2948885990","https://openalex.org/W2962824341","https://openalex.org/W2963095307","https://openalex.org/W2970670424","https://openalex.org/W2980527440","https://openalex.org/W2990221466","https://openalex.org/W2994120362","https://openalex.org/W3017033580","https://openalex.org/W3022120663","https://openalex.org/W3097153668","https://openalex.org/W3102331315","https://openalex.org/W3105472188","https://openalex.org/W3124792046","https://openalex.org/W3164429667","https://openalex.org/W3209063370","https://openalex.org/W4220714107","https://openalex.org/W4226351610","https://openalex.org/W4239510810","https://openalex.org/W4281479781","https://openalex.org/W4281719784","https://openalex.org/W4283731782","https://openalex.org/W4293236189","https://openalex.org/W4294560781","https://openalex.org/W4310626870","https://openalex.org/W4313476629","https://openalex.org/W4320458378","https://openalex.org/W4372346777","https://openalex.org/W4381485892","https://openalex.org/W4398786193","https://openalex.org/W6684823039","https://openalex.org/W6796113678","https://openalex.org/W6849030354","https://openalex.org/W6849281104"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4380075502","https://openalex.org/W2133947431","https://openalex.org/W2490196280","https://openalex.org/W3182827720","https://openalex.org/W1596838019","https://openalex.org/W3208509670","https://openalex.org/W2109304297","https://openalex.org/W2100864966","https://openalex.org/W2083709218"],"abstract_inverted_index":{"Full-complexity":[0],"machine":[1,36],"learning":[2,37],"models,":[3,17,22],"such":[4,18],"as":[5,19,47,49],"the":[6,14,33,50,57,89,99,102,113,118,133,138,144,154,170,180,184,188],"deep":[7],"neural":[8],"network,":[9],"are":[10,23,160],"non-traceable":[11],"black-box,":[12],"whereas":[13],"classic":[15],"interpretable":[16,73],"linear":[20,79,95],"regression":[21],"often":[24],"over-simplified,":[25],"leading":[26],"to":[27,56,97,111,152,167],"lower":[28],"accuracy.":[29,193],"Model":[30],"interpretability":[31,63,129,176],"limits":[32],"application":[34],"of":[35,52,101,140,187],"models":[38,172],"in":[39,137],"management":[40],"problems,":[41],"which":[42],"requires":[43],"high":[44],"prediction":[45,67,114],"performance,":[46,68],"well":[48],"understanding":[51],"individual":[53],"features\u2019":[54],"contributions":[55,92],"model":[58,62,74,134],"outcome.":[59],"To":[60],"enhance":[61],"while":[64,190],"preserving":[65],"good":[66,175],"we":[69],"propose":[70],"a":[71,77,82,108,150],"hybrid":[72],"that":[75,169],"combines":[76],"piecewise":[78,94],"component":[80,87,106],"and":[81,123,164,183],"nonlinear":[83,126],"component.":[84],"The":[85,104,128],"first":[86],"describes":[88],"explicit":[90],"feature":[91],"by":[93,116,177],"approximation":[96],"increase":[98,112],"expressiveness":[100],"model.":[103],"other":[105],"uses":[107],"multi-layer":[109],"perceptron":[110],"performance":[115],"capturing":[117],"high-order":[119],"interactions":[120,156],"between":[121],"features":[122,189],"their":[124],"complex":[125],"transformations.":[127],"is":[130,135],"obtained":[131],"once":[132],"learned":[136],"form":[139],"shape":[141],"functions":[142],"for":[143],"main":[145,181],"effects.":[146],"We":[147],"also":[148],"provide":[149],"variant":[151],"explore":[153],"higher-order":[155],"among":[157],"features.":[158],"Experiments":[159],"conducted":[161],"on":[162],"synthetic":[163],"real-world":[165],"datasets":[166],"demonstrate":[168],"proposed":[171],"can":[173],"achieve":[174],"explicitly":[178],"describing":[179],"effects":[182,186],"interaction":[185],"maintaining":[191],"state-of-the-art":[192]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
