{"id":"https://openalex.org/W4417446108","doi":"https://doi.org/10.48550/arxiv.2512.11833","title":"Soft Decision Tree classifier: explainable and extendable PyTorch implementation","display_name":"Soft Decision Tree classifier: explainable and extendable PyTorch implementation","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4417446108","doi":"https://doi.org/10.48550/arxiv.2512.11833"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2512.11833","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.11833","pdf_url":"https://arxiv.org/pdf/2512.11833","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.11833","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018858686","display_name":"Reuben R. Shamir","orcid":"https://orcid.org/0000-0001-6263-6889"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shamir, Reuben R","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018858686"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.6466000080108643,"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":0.6466000080108643,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.08110000193119049,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.05000000074505806,"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/decision-tree","display_name":"Decision tree","score":0.823199987411499},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.47920000553131104},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4756999909877777},{"id":"https://openalex.org/keywords/soft-computing","display_name":"Soft computing","score":0.47130000591278076},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4187999963760376},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.39500001072883606},{"id":"https://openalex.org/keywords/decision-tree-model","display_name":"Decision tree model","score":0.3783999979496002},{"id":"https://openalex.org/keywords/alternating-decision-tree","display_name":"Alternating decision tree","score":0.357699990272522}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.823199987411499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.729200005531311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6069999933242798},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.571399986743927},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.47920000553131104},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4756999909877777},{"id":"https://openalex.org/C140073362","wikidata":"https://www.wikidata.org/wiki/Q738759","display_name":"Soft computing","level":3,"score":0.47130000591278076},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4187999963760376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4133000075817108},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.39500001072883606},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.3783999979496002},{"id":"https://openalex.org/C120136583","wikidata":"https://www.wikidata.org/wiki/Q4736414","display_name":"Alternating decision tree","level":5,"score":0.357699990272522},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.34630000591278076},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.33329999446868896},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3269999921321869},{"id":"https://openalex.org/C186116695","wikidata":"https://www.wikidata.org/wiki/Q5249226","display_name":"Decision analysis","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C2984634286","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision process","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C2778120072","wikidata":"https://www.wikidata.org/wiki/Q2858150","display_name":"Aside","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C2986909951","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision system","level":2,"score":0.2572000026702881}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2512.11833","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.11833","pdf_url":"https://arxiv.org/pdf/2512.11833","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},{"id":"doi:10.48550/arxiv.2512.11833","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.11833","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.11833","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.11833","pdf_url":"https://arxiv.org/pdf/2512.11833","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"implemented":[1],"a":[2,8,71],"Soft":[3,11],"Decision":[4,12,60],"Tree":[5,13],"(SDT)":[6],"and":[7,24,40,59,83],"Short-term":[9],"Memory":[10],"(SM-SDT)":[14],"using":[15],"PyTorch.":[16],"The":[17,27,62,81],"methods":[18,51,77],"were":[19,52],"extensively":[20],"tested":[21,75],"on":[22,64,88],"simulated":[23],"clinical":[25,65],"datasets.":[26],"SDT":[28],"was":[29],"visualized":[30],"to":[31],"demonstrate":[32],"the":[33,46],"potential":[34],"for":[35],"its":[36],"explainability.":[37],"SDT,":[38],"SM-SDT,":[39],"XGBoost":[41],"demonstrated":[42],"similar":[43],"area":[44],"under":[45],"curve":[47],"(AUC)":[48],"values.":[49],"These":[50],"better":[53],"than":[54],"Random":[55],"Forest,":[56],"Logistic":[57],"Regression,":[58],"Tree.":[61],"results":[63],"datasets":[66,84],"suggest":[67],"that,":[68],"aside":[69],"from":[70],"decision":[72],"tree,":[73],"all":[74],"classification":[76],"yield":[78],"comparable":[79],"results.":[80],"code":[82],"are":[85],"available":[86],"online":[87],"GitHub:":[89],"https://github.com/KI-Research-Institute/Soft-Decision-Tree":[90]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-17T00:00:00"}
