{"id":"https://openalex.org/W2939469531","doi":"https://doi.org/10.1109/icassp.2019.8682885","title":"Improving the Prediction of Therapist Behaviors in Addiction Counseling by Exploiting Class Confusions","display_name":"Improving the Prediction of Therapist Behaviors in Addiction Counseling by Exploiting Class Confusions","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2939469531","doi":"https://doi.org/10.1109/icassp.2019.8682885","mag":"2939469531","pmid":"https://pubmed.ncbi.nlm.nih.gov/36704712"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9875731","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053133208","display_name":"Zhuohao Chen","orcid":"https://orcid.org/0000-0002-0105-2852"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhuohao Chen","raw_affiliation_strings":["Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017498707","display_name":"Karan Singla","orcid":"https://orcid.org/0000-0002-2735-8673"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karan Singla","raw_affiliation_strings":["Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056048457","display_name":"James Gibson","orcid":"https://orcid.org/0000-0001-8572-307X"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Gibson","raw_affiliation_strings":["Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112207449","display_name":"Do\u011fan Can","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dogan Can","raw_affiliation_strings":["Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036681459","display_name":"Zac E. Imel","orcid":"https://orcid.org/0000-0001-9645-7184"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zac E Imel","raw_affiliation_strings":["Department Educational Psychology, University of Utah, Salt Lake City, UT, USA"],"affiliations":[{"raw_affiliation_string":"Department Educational Psychology, University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021605006","display_name":"David C. Atkins","orcid":"https://orcid.org/0000-0002-5781-9880"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David C. Atkins","raw_affiliation_strings":["Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021678540","display_name":"Panayiotis Georgiou","orcid":"https://orcid.org/0000-0002-0790-7161"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panayiotis Georgiou","raw_affiliation_strings":["Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010028928","display_name":"Shrikanth Narayanan","orcid":"https://orcid.org/0000-0002-1052-6204"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shrikanth Narayanan","raw_affiliation_strings":["Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5053133208"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":1.2601,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84811281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"37","issue":null,"first_page":"6605","last_page":"6609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9959999918937683,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.993399977684021,"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":0.7345619201660156},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.663547158241272},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.6082128286361694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5958687663078308},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5859243869781494},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5556827187538147},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5369031429290771},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.49991607666015625},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49198147654533386},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36020636558532715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32371389865875244},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31333237886428833},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11503827571868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7345619201660156},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.663547158241272},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.6082128286361694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5958687663078308},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5859243869781494},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5556827187538147},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5369031429290771},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.49991607666015625},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49198147654533386},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36020636558532715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32371389865875244},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31333237886428833},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11503827571868896},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2019.8682885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmid:36704712","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36704712","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9875731","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9875731","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Conf Acoust Speech Signal Process","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9875731","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9875731","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Conf Acoust Speech Signal Process","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1524333225","https://openalex.org/W1965394545","https://openalex.org/W1982718731","https://openalex.org/W2012514949","https://openalex.org/W2085628288","https://openalex.org/W2120636855","https://openalex.org/W2139500441","https://openalex.org/W2140702793","https://openalex.org/W2153579005","https://openalex.org/W2153720647","https://openalex.org/W2154608152","https://openalex.org/W2314271279","https://openalex.org/W2358897293","https://openalex.org/W2397246247","https://openalex.org/W2470673105","https://openalex.org/W2509943063","https://openalex.org/W2516684112","https://openalex.org/W2748463297","https://openalex.org/W2792769555","https://openalex.org/W2889101895","https://openalex.org/W2963261650","https://openalex.org/W2964121744","https://openalex.org/W3125532913","https://openalex.org/W4294170691","https://openalex.org/W6631190155","https://openalex.org/W6631362777","https://openalex.org/W6682691769","https://openalex.org/W6712292634"],"related_works":["https://openalex.org/W4366202965","https://openalex.org/W1969293528","https://openalex.org/W2349679704","https://openalex.org/W2899196211","https://openalex.org/W4389633859","https://openalex.org/W2570625548","https://openalex.org/W2144192793","https://openalex.org/W3201472348","https://openalex.org/W3128021027","https://openalex.org/W3160713586"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2,21],"we":[3],"address":[4],"the":[5,48,58,73,76,86,92,102,115,121,133],"problem":[6],"of":[7,36,75,85,95],"joint":[8],"prosodic":[9],"and":[10,33,56],"lexical":[11],"behavioral":[12],"annotation":[13],"for":[14],"addiction":[15],"counseling.":[16],"We":[17,38,105],"expand":[18],"on":[19,28,61],"past":[20],"that":[22,120],"employed":[23],"Recurrent":[24],"Neural":[25],"Networks":[26],"(RNNs)":[27],"multimodal":[29],"features":[30],"by":[31,101],"grouping":[32],"classifying":[34],"subsets":[35],"classes.":[37],"propose":[39],"two":[40],"implementations:":[41],"One":[42],"is":[43,67],"hierarchical":[44,123],"classification,":[45],"which":[46,71],"uses":[47,72],"behavior":[49],"confusion":[50],"matrix":[51],"to":[52,80,113,129],"cluster":[53],"similar":[54],"classes":[55,98],"makes":[57],"prediction":[59,109],"based":[60],"a":[62,68,82,107],"tree":[63],"structure.":[64],"The":[65,117],"second":[66,108],"graph-based":[69,134],"method":[70],"result":[74],"original":[77],"classification":[78],"just":[79],"find":[81],"certain":[83],"subset":[84],"most":[87],"probable":[88],"candidate":[89,93],"classes,":[90],"where":[91],"sets":[94],"different":[96],"predicted":[97],"are":[99],"determined":[100],"class":[103],"confusions.":[104],"make":[106],"with":[110],"simpler":[111],"classifier":[112],"discriminate":[114],"candidates.":[116],"evaluation":[118],"shows":[119],"strict":[122],"approach":[124],"degrades":[125],"performance,":[126],"likely":[127],"due":[128],"error":[130],"propagation,":[131],"while":[132],"hierarchy":[135],"provides":[136],"significant":[137],"gains.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
