{"id":"https://openalex.org/W1997856322","doi":"https://doi.org/10.1109/isspa.2012.6310495","title":"Atlas - Annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios","display_name":"Atlas - Annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1997856322","doi":"https://doi.org/10.1109/isspa.2012.6310495","mag":"1997856322"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2012.6310495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","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/A5023898362","display_name":"Sascha Meudt","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sascha Meudt","raw_affiliation_strings":["University of Ulm Institute of Neural Information Processing, Ulm","University of Ulm, Institute of Neural Information Processing, D-89069, Germany"],"affiliations":[{"raw_affiliation_string":"University of Ulm Institute of Neural Information Processing, Ulm","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"University of Ulm, Institute of Neural Information Processing, D-89069, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079194077","display_name":"Lutz Bigalke","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lutz Bigalke","raw_affiliation_strings":["University of Ulm Institute of Neural Information Processing, Ulm","University of Ulm, Institute of Neural Information Processing, D-89069, Germany"],"affiliations":[{"raw_affiliation_string":"University of Ulm Institute of Neural Information Processing, Ulm","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"University of Ulm, Institute of Neural Information Processing, D-89069, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078096723","display_name":"Friedhelm Schwenker","orcid":"https://orcid.org/0000-0001-5118-0812"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Friedhelm Schwenker","raw_affiliation_strings":["University of Ulm Institute of Neural Information Processing, Ulm","University of Ulm, Institute of Neural Information Processing, D-89069, Germany"],"affiliations":[{"raw_affiliation_string":"University of Ulm Institute of Neural Information Processing, Ulm","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"University of Ulm, Institute of Neural Information Processing, D-89069, Germany","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023898362"],"corresponding_institution_ids":["https://openalex.org/I196349391"],"apc_list":null,"apc_paid":null,"fwci":0.4897,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.64843147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5519","issue":null,"first_page":"1309","last_page":"1312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9894999861717224,"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/computer-science","display_name":"Computer science","score":0.8058817386627197},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6856122016906738},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6484541893005371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6156458258628845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5548645853996277},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.541287362575531},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5284773111343384},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.498063325881958},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.45809420943260193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40565407276153564},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3459899425506592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8058817386627197},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6856122016906738},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6484541893005371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6156458258628845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5548645853996277},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.541287362575531},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5284773111343384},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.498063325881958},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.45809420943260193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40565407276153564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3459899425506592},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2012.6310495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W10980763","https://openalex.org/W37336012","https://openalex.org/W1617904839","https://openalex.org/W1906766771","https://openalex.org/W1968399311","https://openalex.org/W2039609561","https://openalex.org/W2048679005","https://openalex.org/W2055666585","https://openalex.org/W2096980176","https://openalex.org/W2097089247","https://openalex.org/W2111270972","https://openalex.org/W2153635508","https://openalex.org/W2163494344","https://openalex.org/W2287807828","https://openalex.org/W2903158431","https://openalex.org/W3142880803","https://openalex.org/W4232545113","https://openalex.org/W4235931536","https://openalex.org/W4241780353","https://openalex.org/W6636301860","https://openalex.org/W6696277692"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2011187995","https://openalex.org/W2358755282","https://openalex.org/W2314146950","https://openalex.org/W2373521488","https://openalex.org/W2324878645"],"abstract_inverted_index":{"In":[0,41,89],"this":[1],"paper":[2],"we":[3],"present":[4],"ATLAS,":[5],"a":[6],"new":[7],"graphical":[8],"tool":[9],"for":[10,21,34],"annotation":[11,117,133],"of":[12,82,109,179],"multi-modal":[13],"data":[14,22,53,83,96,138],"streams.":[15],"Although":[16],"Atlas":[17],"has":[18,54],"been":[19,55,122,142],"developed":[20],"bases":[23],"collected":[24],"in":[25,38],"human":[26,173],"computer":[27],"interaction":[28],"(HCI)":[29],"scenarios,":[30],"it":[31],"is":[32,127],"applicable":[33],"multimodal":[35],"time":[36],"series":[37],"general":[39],"settings.":[40],"our":[42],"HCI":[43],"scenario,":[44],"besides":[45],"multi-channel":[46],"audio":[47],"and":[48,103,118],"video":[49],"inputs,":[50],"various":[51],"bio-physiological":[52],"recorded,":[56],"e.g.":[57],"complex":[58],"multi-variate":[59],"signals":[60],"such":[61,99],"as":[62,66,68,100],"ECG,":[63],"EEG,":[64],"EMG":[65],"well":[67],"simple":[69],"uni-variate":[70],"skin":[71],"conductivity,":[72],"respiration,":[73],"blood":[74],"volume":[75],"pulse,":[76],"etc.":[77],"All":[78],"these":[79,131],"different":[80],"types":[81],"can":[84,113],"be":[85,114],"processed":[86],"through":[87],"ATLAS.":[88],"addition":[90],"to":[91,159,175],"processing":[92,97],"raw":[93],"data,":[94],"intermediate":[95],"results,":[98],"extracted":[101],"features,":[102,134],"even":[104],"(probabilistic":[105],"or":[106],"crisp)":[107],"outputs":[108,154],"pre-trained":[110],"classifier":[111,170],"modules":[112],"displayed.":[115],"Furthermore,":[116],"transcription":[119],"tools":[120],"have":[121,141],"implemented.":[123],"ATLAS's":[124],"basic":[125,132],"structure":[126],"briefly":[128],"described.":[129],"Besides":[130],"active":[135],"learning":[136],"(active":[137],"selection)":[139],"approaches":[140],"included":[143],"into":[144],"the":[145,156,168,172,180],"overall":[146],"system.":[147],"Support":[148],"Vector":[149],"Machines":[150],"(SVM)":[151],"utilizing":[152],"probabilistic":[153],"are":[155],"current":[157],"algorithms":[158],"select":[160],"confident":[161],"data.":[162,181],"Confident":[163],"classification":[164],"results":[165],"made":[166],"by":[167],"SVM":[169],"support":[171],"expert":[174],"investigate":[176],"unlabeled":[177],"parts":[178]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}