{"id":"https://openalex.org/W2985459377","doi":null,"title":"New Nonlinear Machine Learning Algorithms With Applications to Biomedical Data Science","display_name":"New Nonlinear Machine Learning Algorithms With Applications to Biomedical Data Science","publication_year":2019,"publication_date":"2019-09-11","ids":{"openalex":"https://openalex.org/W2985459377","mag":"2985459377"},"language":"en","primary_location":{"id":"pmh:oai:d-scholarship.pitt.edu:36825","doi":null,"is_oa":true,"landing_page_url":"https://d-scholarship.pitt.edu/36825/1/wang_etdPitt2019.pdf","pdf_url":"http://d-scholarship.pitt.edu/36825/1/wang_etdPitt2019.pdf","source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"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":"PeerReviewed"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://d-scholarship.pitt.edu/36825/1/wang_etdPitt2019.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100713980","display_name":"Xiaoqian Wang","orcid":"https://orcid.org/0000-0002-3144-8903","observed_orcids":["https://orcid.org/0000-0002-3144-8903","https://orcid.org/0009-0001-4923-1622","https://orcid.org/0000-0003-1552-9794"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaoqian Wang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3144-8903","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100713980"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1002,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44692509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"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/T10320","display_name":"Neural Networks and Applications","score":0.2815000116825104,"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/T10320","display_name":"Neural Networks and Applications","score":0.2815000116825104,"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":0.18080000579357147,"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":0.11159999668598175,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-machine-learning","display_name":"nonlinear machine learning","score":0.8920000195503235},{"id":"https://openalex.org/keywords/additive-models","display_name":"additive models","score":0.8270000219345093},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.6869999766349792},{"id":"https://openalex.org/keywords/overfitting","display_name":"overfitting","score":0.9300000071525574},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.8009999990463257},{"id":"https://openalex.org/keywords/convergence-rate","display_name":"convergence rate","score":0.878000020980835},{"id":"https://openalex.org/keywords/alzheimer-s-disease","display_name":"Alzheimer's disease","score":0.8429999947547913},{"id":"https://openalex.org/keywords/biomarkers","display_name":"biomarkers","score":0.781000018119812},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.8899999856948853},{"id":"https://openalex.org/keywords/longitudinal-data","display_name":"longitudinal data","score":0.9279999732971191},{"id":"https://openalex.org/keywords/early-diagnosis","display_name":"early diagnosis","score":0.7149999737739563},{"id":"https://openalex.org/keywords/interpretable-neural-networks","display_name":"interpretable neural networks","score":0.902999997138977},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.9829999804496765},{"id":"https://openalex.org/keywords/gene-expression-prediction","display_name":"gene expression prediction","score":0.859000027179718}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8643759489059448},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8216466903686523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.808742880821228},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7906111478805542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6780463457107544},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5754398107528687},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5239543914794922},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4686315059661865},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.457439661026001},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12336692214012146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:d-scholarship.pitt.edu:36825","doi":null,"is_oa":true,"landing_page_url":"https://d-scholarship.pitt.edu/36825/1/wang_etdPitt2019.pdf","pdf_url":"http://d-scholarship.pitt.edu/36825/1/wang_etdPitt2019.pdf","source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"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":"PeerReviewed"},{"id":"mag:2985459377","doi":null,"is_oa":false,"landing_page_url":"http://d-scholarship.pitt.edu/36825/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:d-scholarship.pitt.edu:36825","doi":null,"is_oa":true,"landing_page_url":"https://d-scholarship.pitt.edu/36825/1/wang_etdPitt2019.pdf","pdf_url":"http://d-scholarship.pitt.edu/36825/1/wang_etdPitt2019.pdf","source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"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":"PeerReviewed"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2985459377.pdf","grobid_xml":"https://content.openalex.org/works/W2985459377.grobid-xml"},"referenced_works_count":126,"referenced_works":["https://openalex.org/W1488505114","https://openalex.org/W1552434751","https://openalex.org/W1577469824","https://openalex.org/W1763022604","https://openalex.org/W1787224781","https://openalex.org/W1849277567","https://openalex.org/W1979804471","https://openalex.org/W1986278072","https://openalex.org/W1987470211","https://openalex.org/W1994642189","https://openalex.org/W1998249287","https://openalex.org/W1998710995","https://openalex.org/W2004293194","https://openalex.org/W2006650550","https://openalex.org/W2007044705","https://openalex.org/W2008056655","https://openalex.org/W2014352947","https://openalex.org/W2017079501","https://openalex.org/W2020082788","https://openalex.org/W2020541351","https://openalex.org/W2023163512","https://openalex.org/W2026731079","https://openalex.org/W2047278710","https://openalex.org/W2058402854","https://openalex.org/W2058880763","https://openalex.org/W2060356473","https://openalex.org/W2068179693","https://openalex.org/W2069552222","https://openalex.org/W2080726496","https://openalex.org/W2092007765","https://openalex.org/W2093994886","https://openalex.org/W2096192437","https://openalex.org/W2102117809","https://openalex.org/W2102605133","https://openalex.org/W2106403755","https://openalex.org/W2107199945","https://openalex.org/W2108101947","https://openalex.org/W2110316582","https://openalex.org/W2117130368","https://openalex.org/W2118022153","https://openalex.org/W2119679926","https://openalex.org/W2119848633","https://openalex.org/W2123045220","https://openalex.org/W2123395972","https://openalex.org/W2125264841","https://openalex.org/W2127384340","https://openalex.org/W2128776571","https://openalex.org/W2130371234","https://openalex.org/W2130994442","https://openalex.org/W2135046866","https://openalex.org/W2135315105","https://openalex.org/W2136573752","https://openalex.org/W2137406659","https://openalex.org/W2138019504","https://openalex.org/W2138406686","https://openalex.org/W2139967559","https://openalex.org/W2147303334","https://openalex.org/W2147958782","https://openalex.org/W2148046162","https://openalex.org/W2148603752","https://openalex.org/W2153542182","https://openalex.org/W2153635508","https://openalex.org/W2155910151","https://openalex.org/W2157848968","https://openalex.org/W2159242834","https://openalex.org/W2159433000","https://openalex.org/W2160815625","https://openalex.org/W2162670686","https://openalex.org/W2163013660","https://openalex.org/W2164303459","https://openalex.org/W2166348468","https://openalex.org/W2166501262","https://openalex.org/W2166626454","https://openalex.org/W2169393322","https://openalex.org/W2170310655","https://openalex.org/W2171798319","https://openalex.org/W2181893202","https://openalex.org/W2248556341","https://openalex.org/W2271343396","https://openalex.org/W2282821441","https://openalex.org/W2342807339","https://openalex.org/W2367397349","https://openalex.org/W2405330762","https://openalex.org/W2432004435","https://openalex.org/W2472661117","https://openalex.org/W2493343568","https://openalex.org/W2533012945","https://openalex.org/W2538894230","https://openalex.org/W2549603142","https://openalex.org/W2558354856","https://openalex.org/W2593414223","https://openalex.org/W2593996946","https://openalex.org/W2594475271","https://openalex.org/W2596763562","https://openalex.org/W2597603852","https://openalex.org/W2600556233","https://openalex.org/W2605409611","https://openalex.org/W2606567126","https://openalex.org/W2617799811","https://openalex.org/W2624413595","https://openalex.org/W2752843037","https://openalex.org/W2754745072","https://openalex.org/W2766527293","https://openalex.org/W2768977980","https://openalex.org/W2770415971","https://openalex.org/W2773497437","https://openalex.org/W2782346987","https://openalex.org/W2784397426","https://openalex.org/W2795723870","https://openalex.org/W2895261933","https://openalex.org/W2904609718","https://openalex.org/W2904642422","https://openalex.org/W2950420695","https://openalex.org/W2950641143","https://openalex.org/W2951523806","https://openalex.org/W2962753953","https://openalex.org/W2962793481","https://openalex.org/W2962824341","https://openalex.org/W2963178340","https://openalex.org/W2963685250","https://openalex.org/W2963917315","https://openalex.org/W2964121744","https://openalex.org/W2964134873","https://openalex.org/W2974817986","https://openalex.org/W3106076062","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W4385965371","https://openalex.org/W7010548952","https://openalex.org/W7126344244","https://openalex.org/W4415124258","https://openalex.org/W6940707043","https://openalex.org/W2806864553","https://openalex.org/W3196214667","https://openalex.org/W2913024945","https://openalex.org/W4411475110","https://openalex.org/W4294992265"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,10,78,136,151,160,178,185,216,232],"machine":[3,14,60,92],"learning":[4,15,61,93,101,207,226],"have":[5],"spawned":[6],"innovation":[7],"and":[8,21,44,74,81,99,107,126,128,138,155,181,228],"prosperity":[9],"various":[11,71],"fields.":[12],"In":[13,83],"models,":[16],"nonlinearity":[17],"facilitates":[18],"more":[19],"flexibility":[20,32],"ability":[22],"to":[23,55,63,103,172,198,210],"better":[24],"fit":[25],"the":[26,29,65,109,113,130,144,152,174,200,203,212,230,233],"data.":[27,141],"However,":[28],"improved":[30],"model":[31,145,197,227],"is":[33,49],"often":[34],"accompanied":[35],"by":[36,70],"challenges":[37,68,106],"such":[38,95],"as":[39,96],"overfitting,":[40],"higher":[41],"computational":[42],"complexity,":[43],"less":[45],"interpretability.":[46],"Thus,":[47],"it":[48],"an":[50],"important":[51],"problem":[52,132],"of":[53,133,202,205,235],"how":[54],"design":[56,191,221],"new":[57,76,110,120,157,193],"feasible":[58],"nonlinear":[59,91,134],"models":[62,98,111,123,135],"address":[64,104,129],"above":[66],"different":[67],"posed":[69],"data":[72,180,215,218],"scales,":[73],"bringing":[75],"discoveries":[77],"both":[79],"theory":[80],"applications.":[82,116],"this":[84],"thesis,":[85],"we":[86,118,142,165,190,220],"propose":[87,166],"several":[88],"newly":[89],"designed":[90],"algorithms,":[94],"additive":[97,122],"deep":[100,168,206,225],"methods,":[102],"these":[105],"validate":[108,229],"via":[112],"emerging":[114],"biomedical":[115],"First,":[117],"introduce":[119],"interpretable":[121,194],"for":[124],"regression":[125],"classification":[127],"overfitting":[131],"small":[137],"medium":[139],"scale":[140],"derive":[143],"convergence":[146],"rate":[147],"under":[148],"mild":[149],"conditions":[150],"hypothesis":[153],"space":[154],"uncover":[156],"potential":[158],"biomarkers":[159],"Alzheimer's":[161,186],"disease":[162],"study.":[163],"Second,":[164],"a":[167,192,222],"generative":[169],"adversarial":[170],"network":[171,196],"analyze":[173],"temporal":[175],"correlation":[176],"structure":[177],"longitudinal":[179],"achieve":[182],"state-of-the-art":[183],"performance":[184,231],"early":[187],"diagnosis.":[188],"Meanwhile,":[189],"neural":[195],"improve":[199],"interpretability":[201],"results":[204],"methods.":[208],"Further,":[209],"tackle":[211],"insufficient":[213],"labeled":[214],"large-scale":[217],"analysis,":[219],"novel":[223],"semi-supervised":[224],"application":[234],"gene":[236],"expression":[237],"inference.":[238]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-11-22T00:00:00"}
