Berardina De Carolis, Nicola Macchiarulo, Giuseppe Palestra, Olimpia Pino
{"title":"Analyzing Emotions and Engagement During Cognitive Stimulation Group Training with the Pepper Robot","authors":"Berardina De Carolis, Nicola Macchiarulo, Giuseppe Palestra, Olimpia Pino","doi":"10.1109/taffc.2025.3609855","DOIUrl":"https://doi.org/10.1109/taffc.2025.3609855","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"72 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072868","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}
Tong Zhang, Qilin Li, Xueyue Yang, C. L. Philip Chen
{"title":"MCGC-Net: Multi-scale Controllable Graph Convolutional Network on Music Emotion Recognition","authors":"Tong Zhang, Qilin Li, Xueyue Yang, C. L. Philip Chen","doi":"10.1109/taffc.2025.3608830","DOIUrl":"https://doi.org/10.1109/taffc.2025.3608830","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"164 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072872","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}
Kaixiang Yang, Yifan Luo, Zongyan Zhang, C. L. Philip Chen, Tong Zhang
{"title":"Multimodal Affect Perception with Large Language Model Enhancement Network","authors":"Kaixiang Yang, Yifan Luo, Zongyan Zhang, C. L. Philip Chen, Tong Zhang","doi":"10.1109/taffc.2025.3607727","DOIUrl":"https://doi.org/10.1109/taffc.2025.3607727","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"100 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035501","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":"SentireCache: Accelerate Sentiment Classification With Saliency-Based Caching","authors":"Yilong Zhu;Juncheng Jia;Mianxiong Dong;Jun Qi","doi":"10.1109/TAFFC.2025.3578574","DOIUrl":"10.1109/TAFFC.2025.3578574","url":null,"abstract":"Deep Learning methodologies have demonstrated exceptional efficacy in sentiment classification tasks. However, their extended inference times often impede practical deployment, particularly in resource-constrained environments. This paper addresses the challenge of reducing inference time by introducing a novel in-GPU caching approach, termed SentireCache, specifically designed for sentiment classification tasks. While traditional caching methods with the cosine similarity measurement have shown some reduction in inference time, they suffer from low hit rates and accuracy. To overcome this limitation, we incorporate a token filtering mechanism based on saliency into the caching system, along with simplified similarity calculation methods. The effectiveness of our proposed approach is theoretically analyzed. Moreover, extensive experimentation is conducted to compare SentireCache with other state-of-the-art caching methods. The results demonstrate a significant 37.7% reduction in inference time with an average performance degradation of 4.69%.","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"16 3","pages":"1349-1361"},"PeriodicalIF":9.8,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145003108","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":"Distinguishing Depression and Bipolar Disorder from Social Media Data Utilizing Intensity of Emotions and Interpretable Deep Learning Models","authors":"Syauki Aulia Thamrin, Arbee L.P. Chen","doi":"10.1109/taffc.2025.3606887","DOIUrl":"https://doi.org/10.1109/taffc.2025.3606887","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"1 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145002950","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}