{"id":"https://openalex.org/W2293328366","doi":null,"title":"IBM T.J. Watson Research Center, Multimedia Analytics: Modality Classification and Case-Based Retrieval Tasks of ImageCLEF2012.","display_name":"IBM T.J. Watson Research Center, Multimedia Analytics: Modality Classification and Case-Based Retrieval Tasks of ImageCLEF2012.","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2293328366","mag":"2293328366"},"language":"en","primary_location":{"id":"mag:2293328366","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1178/CLEF2012wn-ImageCLEF-CaoEt2012.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306506383","display_name":"CLEF (Online Working Notes/Labs/Workshop)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"CLEF (Online Working Notes/Labs/Workshop)","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5103187717","display_name":"Liangliang Cao","orcid":"https://orcid.org/0000-0003-0900-1512","observed_orcids":["https://orcid.org/0000-0003-0900-1512"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liangliang Cao","raw_affiliation_strings":["IBM"],"raw_orcid":"https://orcid.org/0000-0003-0900-1512","affiliations":[{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100914884","display_name":"Yuan\u2010Chi Chang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan\u2010Chi Chang","raw_affiliation_strings":["IBM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073027533","display_name":"Noel Codella","orcid":"https://orcid.org/0000-0001-6735-9067","observed_orcids":["https://orcid.org/0000-0001-6735-9067"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noel Codella","raw_affiliation_strings":["IBM"],"raw_orcid":"https://orcid.org/0000-0001-6735-9067","affiliations":[{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068061267","display_name":"Michele Merler","orcid":"https://orcid.org/0000-0002-4358-8671","observed_orcids":["https://orcid.org/0000-0002-4358-8671"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michele Merler","raw_affiliation_strings":["IBM"],"raw_orcid":"https://orcid.org/0000-0002-4358-8671","affiliations":[{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101648173","display_name":"Quoc-Bao Nguyen","orcid":"https://orcid.org/0000-0003-0105-1291","observed_orcids":["https://orcid.org/0000-0003-0105-1291"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quoc-Bao Nguyen","raw_affiliation_strings":["IBM"],"raw_orcid":"https://orcid.org/0000-0003-0105-1291","affiliations":[{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105523625","display_name":"John R. Smith","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John R. Smith","raw_affiliation_strings":["IBM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM","institution_ids":[]}]}],"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":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/case-based-retrieval","display_name":"case-based retrieval","score":0.9179999828338623},{"id":"https://openalex.org/keywords/multimedia-analytics","display_name":"multimedia analytics","score":0.8209999799728394},{"id":"https://openalex.org/keywords/limited-training-data","display_name":"limited training data","score":0.7730000019073486},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.8629999756813049},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.8830000162124634},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"semantic similarity","score":0.968999981880188},{"id":"https://openalex.org/keywords/umls-metathesaurus","display_name":"UMLS Metathesaurus","score":0.8999999761581421},{"id":"https://openalex.org/keywords/lexical-databases","display_name":"lexical databases","score":0.7950000166893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7850935459136963},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7578845024108887},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6365137696266174},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.560683012008667},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5452760457992554},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5416785478591919},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5315812826156616},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48642778396606445},{"id":"https://openalex.org/C2776608531","wikidata":"https://www.wikidata.org/wiki/Q12253","display_name":"Watson","level":2,"score":0.4850420355796814},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48244601488113403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43032246828079224},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3393915295600891},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2374970018863678},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2293328366","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1178/CLEF2012wn-ImageCLEF-CaoEt2012.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306506383","display_name":"CLEF (Online Working Notes/Labs/Workshop)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"CLEF (Online Working Notes/Labs/Workshop)","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1492522106","https://openalex.org/W1545641654","https://openalex.org/W1550602550","https://openalex.org/W1566135517","https://openalex.org/W1974775589","https://openalex.org/W2015904350","https://openalex.org/W2087064593","https://openalex.org/W2091257550","https://openalex.org/W2109235804","https://openalex.org/W2115528090","https://openalex.org/W2142514727","https://openalex.org/W2142590813","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2166781916"],"related_works":["https://openalex.org/W7096350173","https://openalex.org/W7095302606","https://openalex.org/W7099949445","https://openalex.org/W2408725875","https://openalex.org/W3008035010","https://openalex.org/W2407664795","https://openalex.org/W2293481117","https://openalex.org/W1990225994","https://openalex.org/W2184967291","https://openalex.org/W65015786"],"abstract_inverted_index":{"In":[0,76],"this":[1,34],"paper":[2],"we":[3,82,90,105,124],"present":[4],"the":[5,12,19,44,84,94,119,132,139,144,152],"modeling":[6,112],"strategies":[7,113],"that":[8],"were":[9,40],"applied":[10],"by":[11],"IBM":[13],"T.J.":[14],"Watson":[15],"research":[16],"team":[17],"to":[18,72,78,92,130,155,160],"modality":[20,37],"classi-":[21],"cation":[22],"and":[23,67,103,114],"case-based":[24],"retrieval":[25,122],"tasks":[26],"of":[27,33,100,111,146],"ImageCLEF":[28],"2012.":[29],"The":[30],"primary":[31],"challenges":[32],"year's":[35],"medical":[36,135],"classication":[38],"task":[39,85],"as":[41,55,57],"follows:":[42],"1)":[43,89],"supplied":[45],"training":[46,95],"data":[47,96],"was":[48],"extremely":[49],"limited,":[50],"with":[51,97,107],"some":[52,69],"categories":[53],"having":[54],"few":[56],"5":[58],"positive":[59],"examples,":[60],"leaving":[61],"little":[62],"room":[63],"for":[64],"internal":[65],"testing,":[66],"2)":[68,104],"modalities":[70],"appeared":[71],"be":[73],"visually":[74],"similar.":[75],"order":[77],"address":[79],"these":[80],"challenges,":[81],"approached":[83],"from":[86],"two":[87],"fronts:":[88],"attempted":[91],"augment":[93],"additional":[98,148],"examples":[99],"each":[101],"category,":[102],"experimented":[106],"a":[108,126],"broad":[109],"range":[110],"feature":[115],"extraction":[116],"techniques.":[117],"For":[118],"case":[120],"based":[121],"task,":[123],"employed":[125],"semantic":[127],"similarity":[128],"approach":[129],"measure":[131],"relatedness":[133],"among":[134],"concepts":[136],"found":[137],"in":[138,158],"text":[140],"corpus.":[141],"We":[142],"believe":[143],"lack":[145],"using":[147],"lexical":[149],"database":[150],"besides":[151],"UMLS-methathesaurus":[153],"led":[154],"poor":[156],"performance":[157],"relation":[159],"other":[161],"approaches.":[162]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-09-12T09:15:50.089291","created_date":"2016-06-24T00:00:00"}