{"id":"https://openalex.org/W7130611011","doi":"https://doi.org/10.48550/arxiv.2602.16505","title":"Functional Decomposition and Shapley Interactions for Interpreting Survival Models","display_name":"Functional Decomposition and Shapley Interactions for Interpreting Survival Models","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130611011","doi":"https://doi.org/10.48550/arxiv.2602.16505"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.16505","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111033554","display_name":"S. Langbein","orcid":"https://orcid.org/0000-0001-5629-2055"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Langbein, Sophie Hanna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059946484","display_name":"Hubert Baniecki","orcid":"https://orcid.org/0000-0001-6661-5364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baniecki, Hubert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072839657","display_name":"Fabian Fumagalli","orcid":"https://orcid.org/0000-0003-3955-3510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fumagalli, Fabian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007482522","display_name":"Niklas Koenen","orcid":"https://orcid.org/0000-0002-4623-8271"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koenen, Niklas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126405257","display_name":"Marvin N. Wright","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wright, Marvin N.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043712563","display_name":"Julia Herbinger","orcid":"https://orcid.org/0000-0003-0430-8523"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Herbinger, Julia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19657004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.9247999787330627,"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":0.9247999787330627,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.00989999994635582,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.00800000037997961,"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":0.9063000082969666},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6237999796867371},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5480999946594238},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.51910001039505},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5103999972343445},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.36059999465942383},{"id":"https://openalex.org/keywords/complex-system","display_name":"Complex system","score":0.3107999861240387}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9063000082969666},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6237999796867371},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5480999946594238},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5103999972343445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4894999861717224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41920000314712524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38999998569488525},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3165000081062317},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.27070000767707825},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C2776540566","wikidata":"https://www.wikidata.org/wiki/Q1432420","display_name":"Kaplan\u2013Meier estimator","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C38803922","wikidata":"https://www.wikidata.org/wiki/Q95745348","display_name":"Additive function","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C42600057","wikidata":"https://www.wikidata.org/wiki/Q2915096","display_name":"Survival function","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2554999887943268},{"id":"https://openalex.org/C203223496","wikidata":"https://www.wikidata.org/wiki/Q4681344","display_name":"Additive model","level":2,"score":0.25529998540878296}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.16505","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.16505","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.16505","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.16505","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7164943814277649,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Hazard":[0],"and":[1,45,60,90,95],"survival":[2,37,55,100],"functions":[3],"are":[4],"natural,":[5],"interpretable":[6],"targets":[7],"in":[8,34],"time-to-event":[9,106],"prediction,":[10],"but":[11],"their":[12],"inherent":[13],"non-additivity":[14],"fundamentally":[15],"limits":[16],"standard":[17],"additive":[18,62],"explanation":[19],"methods.":[20],"We":[21],"introduce":[22],"Survival":[23],"Functional":[24],"Decomposition":[25],"(SurvFD),":[26],"a":[27,50,81],"principled":[28],"approach":[29,98],"for":[30,84,99],"analyzing":[31],"feature":[32],"interactions":[33,76],"machine":[35],"learning":[36],"models.":[38],"By":[39],"decomposing":[40],"higher-order":[41],"effects":[42],"into":[43],"time-dependent":[44,86],"time-independent":[46],"components,":[47],"SurvFD":[48,89],"offers":[49],"previously":[51],"unrecognized":[52],"perspective":[53],"on":[54,66],"explanations,":[56],"explicitly":[57],"characterizing":[58],"when":[59],"why":[61],"explanations":[63],"fail.":[64],"Building":[65],"this":[67],"theoretical":[68],"decomposition,":[69],"we":[70],"propose":[71],"SurvSHAP-IQ,":[72],"which":[73],"extends":[74],"Shapley":[75],"to":[77],"time-indexed":[78],"functions,":[79],"providing":[80],"practical":[82],"estimator":[83],"higher-order,":[85],"interactions.":[87],"Together,":[88],"SurvSHAP-IQ":[91],"establish":[92],"an":[93],"interaction-":[94],"time-aware":[96],"interpretability":[97],"modeling,":[101],"with":[102],"broad":[103],"applicability":[104],"across":[105],"prediction":[107],"tasks.":[108]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-02-20T00:00:00"}
