{"id":"https://openalex.org/W4415254647","doi":"https://doi.org/10.48550/arxiv.2509.17491","title":"Path-Weighted Integrated Gradients for Interpretable Dementia Classification","display_name":"Path-Weighted Integrated Gradients for Interpretable Dementia Classification","publication_year":2025,"publication_date":"2025-09-22","ids":{"openalex":"https://openalex.org/W4415254647","doi":"https://doi.org/10.48550/arxiv.2509.17491"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.17491","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.17491","pdf_url":"https://arxiv.org/pdf/2509.17491","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/2509.17491","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051609871","display_name":"Firuz Kamalov","orcid":"https://orcid.org/0000-0003-3946-0920"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kamalov, Firuz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120025826","display_name":"Mohmad Al Falasi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Falasi, Mohmad Al","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057725721","display_name":"Fadi Thabtah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thabtah, Fadi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051609871"],"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/T13702","display_name":"Machine Learning in Healthcare","score":0.927299976348877,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.927299976348877,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9018999934196472,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6970999836921692},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.6674000024795532},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6072999835014343},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5511000156402588},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5490999817848206},{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.46160000562667847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4519999921321869},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4189999997615814}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7074999809265137},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6970999836921692},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.6674000024795532},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6072999835014343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5856000185012817},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5511000156402588},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5490999817848206},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.46160000562667847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4530999958515167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4519999921321869},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32249999046325684},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.28299999237060547},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C2988494973","wikidata":"https://www.wikidata.org/wiki/Q179448","display_name":"Noise immunity","level":3,"score":0.2646999955177307},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C70136482","wikidata":"https://www.wikidata.org/wiki/Q13583781","display_name":"A-weighting","level":3,"score":0.25589999556541443}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2509.17491","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.17491","pdf_url":"https://arxiv.org/pdf/2509.17491","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.2509.17491","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.17491","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.17491","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.17491","pdf_url":"https://arxiv.org/pdf/2509.17491","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Integrated":[0,20],"Gradients":[1,21],"(IG)":[2],"is":[3],"a":[4,23,29,50,79,117],"widely":[5],"used":[6],"attribution":[7,35,125],"method":[8],"in":[9,127],"explainable":[10],"artificial":[11],"intelligence":[12],"(XAI).":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"introduce":[18],"Path-Weighted":[19],"(PWIG),":[22],"generalization":[24],"of":[25,46,63,102],"IG":[26],"that":[27,114],"incorporates":[28],"customizable":[30],"weighting":[31],"function":[32],"into":[33],"the":[34,47,53,61,84],"integral.":[36],"This":[37],"modification":[38],"allows":[39],"for":[40,123],"targeted":[41],"emphasis":[42],"along":[43],"different":[44],"segments":[45],"path":[48],"between":[49],"baseline":[51],"and":[52,60,72,108,119],"input,":[54],"enabling":[55],"improved":[56],"interpretability,":[57],"noise":[58],"mitigation,":[59],"detection":[62],"path-dependent":[64],"feature":[65],"relevance.":[66],"We":[67],"establish":[68],"its":[69,74],"theoretical":[70],"properties":[71],"illustrate":[73],"utility":[75],"through":[76],"experiments":[77],"on":[78],"dementia":[80],"classification":[81],"task":[82],"using":[83],"OASIS-1":[85],"MRI":[86],"dataset.":[87],"Attribution":[88],"maps":[89],"generated":[90],"by":[91],"PWIG":[92,115],"highlight":[93],"clinically":[94],"meaningful":[95],"brain":[96],"regions":[97],"associated":[98],"with":[99,106],"various":[100],"stages":[101],"dementia,":[103],"providing":[104],"users":[105],"sharp":[107],"stable":[109],"explanations.":[110],"The":[111],"results":[112],"suggest":[113],"offers":[116],"flexible":[118],"theoretically":[120],"grounded":[121],"approach":[122],"enhancing":[124],"quality":[126],"complex":[128],"predictive":[129],"models.":[130]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-16T00:00:00"}