Jian Li, Yuliang Zhao, Huawei Zhang, Wayne Jason LiMember, Changzeng Fu, Chao Lian, Peng Shan
{"title":"Image Encoding and Fusion of Multi-modal Data Enhance Depression Diagnosis in Parkinson's Disease Patients","authors":"Jian Li, Yuliang Zhao, Huawei Zhang, Wayne Jason LiMember, Changzeng Fu, Chao Lian, Peng Shan","doi":"10.1109/taffc.2024.3418415","DOIUrl":"https://doi.org/10.1109/taffc.2024.3418415","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"69 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141448475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wonse Jo, Ruiqi Wang, Go-Eum Cha, Su Sun, Revanth Krishna Senthilkumaran, Daniel Foti, Byung-Cheol Min
{"title":"MOCAS: A Multimodal Dataset for Objective Cognitive Workload Assessment on Simultaneous Tasks","authors":"Wonse Jo, Ruiqi Wang, Go-Eum Cha, Su Sun, Revanth Krishna Senthilkumaran, Daniel Foti, Byung-Cheol Min","doi":"10.1109/taffc.2024.3414330","DOIUrl":"https://doi.org/10.1109/taffc.2024.3414330","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"373 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A New Look At Breathing for Affective Studies","authors":"Nanfei Sun, Ioannis Pavlidis","doi":"10.1109/taffc.2024.3413053","DOIUrl":"https://doi.org/10.1109/taffc.2024.3413053","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"25 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huang-Cheng Chou, Lucas Goncalves, Seong-Gyun Leem, Ali N. Salman, Chi-Chun Lee, Carlos Busso
{"title":"Minority Views Matter: Evaluating Speech Emotion Classifiers with Human Subjective Annotations by an All-Inclusive Aggregation Rule","authors":"Huang-Cheng Chou, Lucas Goncalves, Seong-Gyun Leem, Ali N. Salman, Chi-Chun Lee, Carlos Busso","doi":"10.1109/taffc.2024.3411290","DOIUrl":"https://doi.org/10.1109/taffc.2024.3411290","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"196 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141969285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards Generalised and Incremental Bias Mitigation in Personality Computing","authors":"Jian Jiang;Viswonathan Manoranjan;Hanan Salam;Oya Celiktutan","doi":"10.1109/TAFFC.2024.3409830","DOIUrl":"10.1109/TAFFC.2024.3409830","url":null,"abstract":"Building systems for predicting human socio-emotional states has promising applications; however, if trained on biased data, such systems could inadvertently yield biased decisions. Bias mitigation remains an open problem, which tackles the correction of a model's disparate performance over different groups defined by particular sensitive attributes (e.g., gender, age, and race). In this work, we design a novel fairness loss function named Multi-Group Parity (MGP) to provide a generalised approach for bias mitigation in personality computing. In contrast to existing works in the literature, MGP is generalised as it features four ‘multiple’ properties (4Mul): multiple tasks, multiple modalities, multiple sensitive attributes, and multi-valued attributes. Moreover, we explore how to incrementally mitigate the biases when more sensitive attributes are taken into consideration sequentially. Towards this problem, we introduce a novel algorithm that utilises an incremental learning framework to mitigate bias against one attribute data at a time without compromising past fairness. Extensive experiments on two large-scale multi-modal personality recognition datasets validate the effectiveness of our approach in achieving superior bias mitigation under the proposed four properties and incremental debiasing settings.","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"15 4","pages":"2192-2203"},"PeriodicalIF":9.6,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}