{"id":"https://openalex.org/W2964303019","doi":"https://doi.org/10.1145/3292500.3330731","title":"Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points","display_name":"Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2964303019","doi":"https://doi.org/10.1145/3292500.3330731","mag":"2964303019"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3330731","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-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/A5100351559","display_name":"Zhibin Li","orcid":"https://orcid.org/0000-0002-4226-267X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zhibin Li","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063629854","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0001-5641-2483"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040047825","display_name":"Yongshun Gong","orcid":"https://orcid.org/0000-0003-3948-4471"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongshun Gong","raw_affiliation_strings":["JD AI Research & University of Technology Sydney, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD AI Research & University of Technology Sydney, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030837133","display_name":"Jinfeng Yi","orcid":"https://orcid.org/0000-0003-2149-0670"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Yi","raw_affiliation_strings":["JD AI Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD AI Research, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050390965","display_name":"Christina Kirsch","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christina Kirsch","raw_affiliation_strings":["Sydney Trains-Operational Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sydney Trains-Operational Technology, Sydney, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100351559"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":1.3337,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.78653983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2848","last_page":"2856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/punctuality","display_name":"Punctuality","score":0.8996326923370361},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.8124845027923584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6650437116622925},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5995041131973267},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5057365894317627},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49136438965797424},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4244287610054016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25763481855392456},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.19174015522003174},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09634348750114441}],"concepts":[{"id":"https://openalex.org/C2779548549","wikidata":"https://www.wikidata.org/wiki/Q153487","display_name":"Punctuality","level":2,"score":0.8996326923370361},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.8124845027923584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650437116622925},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5995041131973267},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5057365894317627},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49136438965797424},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4244287610054016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25763481855392456},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.19174015522003174},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09634348750114441},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3292500.3330731","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1542938076","https://openalex.org/W1937059634","https://openalex.org/W1965995783","https://openalex.org/W1986295288","https://openalex.org/W1991501643","https://openalex.org/W1997093019","https://openalex.org/W1999693420","https://openalex.org/W2011426400","https://openalex.org/W2019024625","https://openalex.org/W2029171653","https://openalex.org/W2046187653","https://openalex.org/W2066995518","https://openalex.org/W2077309078","https://openalex.org/W2098206081","https://openalex.org/W2104472920","https://openalex.org/W2112019442","https://openalex.org/W2114131343","https://openalex.org/W2144902422","https://openalex.org/W2153635508","https://openalex.org/W2539054576","https://openalex.org/W2891862966","https://openalex.org/W2895799837","https://openalex.org/W2899885105","https://openalex.org/W3001645704","https://openalex.org/W6602670149"],"related_works":["https://openalex.org/W2766395386","https://openalex.org/W2376773662","https://openalex.org/W428785106","https://openalex.org/W4313598038","https://openalex.org/W2347564323","https://openalex.org/W644248512","https://openalex.org/W2492179096","https://openalex.org/W2968469309","https://openalex.org/W644243560","https://openalex.org/W2808426412"],"abstract_inverted_index":{"Railway":[0],"points":[1,16,63,194,268],"are":[2,40,106,142,175],"among":[3],"the":[4,18,30,44,74,102,172,185,236,275,283,295],"key":[5,233],"components":[6],"of":[7,13,20,35,43,57,62,81,101,166,238,278,289,297],"railway":[8,23,49,58,193,290],"infrastructure.":[9],"As":[10],"a":[11,26,54,67,134,211,226,250,260],"part":[12],"signal":[14],"equipment,":[15],"control":[17],"routes":[19],"trains":[21],"at":[22,219],"junctions,":[24],"having":[25],"significant":[27],"impact":[28],"on":[29,66,111,156,286],"reliability,":[31],"capacity,":[32],"and":[33,90,168,200,231],"punctuality":[34],"rail":[36,159],"transport.":[37],"Meanwhile,":[38],"they":[39,123],"also":[41],"one":[42,129],"most":[45,100],"fragile":[46],"parts":[47],"in":[48,184,196],"systems.":[50],"Points":[51],"failures":[52,89],"cause":[53],"large":[55],"portion":[56],"incidents.":[59],"Traditionally,":[60],"maintenance":[61],"is":[64,162,207],"based":[65,155],"fixed":[68],"time":[69],"interval":[70],"or":[71,109,189],"raised":[72],"after":[73],"equipment":[75],"failures.":[76,217,269],"Instead,":[77],"it":[78,206],"would":[79],"be":[80],"great":[82],"value":[83],"if":[84],"we":[85,223,244],"could":[86],"forecast":[87],"points'":[88],"take":[91],"action":[92],"beforehand,":[93],"minimising":[94],"any":[95],"negative":[96],"effect.":[97],"To":[98],"date,":[99],"existing":[103],"prediction":[104,247],"methods":[105],"either":[107],"lab-based":[108],"relying":[110],"specially":[112],"installed":[113],"sensors":[114],"which":[115,141,161,204],"makes":[116],"them":[117],"infeasible":[118],"for":[119,266],"large-scale":[120],"implementation.":[121],"Besides,":[122,192],"often":[124],"use":[125,210],"data":[126,140,174,279],"from":[127,228],"only":[128],"source.":[130],"We,":[131],"therefore,":[132],"explore":[133],"new":[135],"way":[136],"that":[137],"integrates":[138],"multi-source":[139],"ready":[143],"to":[144,146,179,209,214],"hand":[145],"fulfil":[147],"this":[148,220,242],"task.":[149],"We":[150,258],"conducted":[151],"our":[152,246,298],"case":[153],"study":[154],"Sydney":[157],"Trains":[158],"network":[160,165],"an":[163],"extensive":[164],"passenger":[167],"freight":[169],"railways.":[170],"Unfortunately,":[171],"real-world":[173],"usually":[176],"incomplete":[177],"due":[178],"various":[180],"reasons,":[181],"e.g.,":[182],"faults":[183],"database,":[186],"operational":[187],"errors":[188],"transmission":[190],"faults.":[191],"differ":[195],"their":[197,216],"locations,":[198],"types":[199],"some":[201],"other":[202,302],"properties,":[203],"means":[205],"hard":[208],"unified":[212],"model":[213,271],"predict":[215],"Aiming":[218],"challenging":[221],"task,":[222],"firstly":[224],"constructed":[225],"dataset":[227],"multiple":[229,251,262],"sources":[230],"selected":[232],"features":[234],"with":[235,255,301],"help":[237],"domain":[239],"experts.":[240],"In":[241],"paper,":[243],"formulate":[245],"task":[248],"as":[249,280,282],"kernel":[252,263],"learning":[253,264],"problem":[254],"missing":[256,276],"kernels.":[257],"present":[259],"robust":[261],"algorithm":[265,299],"predicting":[267],"Our":[270],"takes":[272],"into":[273],"account":[274],"pattern":[277],"well":[281],"inherent":[284],"variance":[285],"different":[287],"sets":[288],"points.":[291],"Extensive":[292],"experiments":[293],"demonstrate":[294],"superiority":[296],"compared":[300],"state-of-the-art":[303],"methods.":[304]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}