System on a chip for digital still camera. - Shogo Okada; Yuuki Matsuda; Tomoaki Yamada; Akihiro Kobayashi (IEEE Trans. Consumer Electron., 1999)

Unsupervised Learning, Recognition, and Generation of Time-series Patterns Based on Self-Organizing Segmentation. - Shogo Okada; Osamu Hasegawa (RO-MAN, 2006)

Incremental Learning, Recognition, and Generation of Time-Series Patterns Based on Self-Organizing Segmentation. - Shogo Okada; Osamu Hasegawa (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Classification of Temporal Data Based on Self-organizing Incremental Neural Network. - Shogo Okada; Osamu Hasegawa (ICANN (2), 2007)

Motion recognition based on Dynamic-Time Warping method with Self-Organizing Incremental Neural Network. - Shogo Okada; Osamu Hasegawa (ICPR, 2008)

On-line learning of sequence data based on Self-Organizing Incremental Neural Network. - Shogo Okada; Osamu Hasegawa (IJCNN, 2008)

Actively Adaptive Agent for Human-Agent Collaborative Task. - Yong Xu 012; Yoshimasa Ohmoto; Kazuhiro Ueda; Takanori Komatsu; Takeshi Okadome; Koji Kamei; Shogo Okada; Yasuyuki Sumi; Toyoaki Nishida (AMT, 2009)

A Platform System for Developing a Collaborative Mutually Adaptive Agent. - Yong Xu 012; Yoshimasa Ohmoto; Kazuhiro Ueda; Takanori Komatsu; Takeshi Okadome; Koji Kamei; Shogo Okada; Yasuyuki Sumi; Toyoaki Nishida (IEA/AIE, 2009)

Incremental clustering of gesture patterns based on a self organizing incremental neural network. - Shogo Okada; Toyoaki Nishida (IJCNN, 2009)

Unsupervised simultaneous learning of gestures, actions and their associations for Human-Robot Interaction. - Yasser F. O. Mohammad; Toyoaki Nishida; Shogo Okada (IROS, 2009)

Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network. - Shogo Okada; Osamu Hasegawa; Toyoaki Nishida (ICANN (3), 2010)

Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric Learning. - Shogo Okada; Toyoaki Nishida (ICANN (2), 2010)

On-Line Unsupervised Segmentation for Multidimensional Time-Series Data and Application to Spatiotemporal Gesture data. - Shogo Okada; Satoshi Ishibashi; Toyoaki Nishida (IEA/AIE (1), 2010)

Incremental learning of gestures for human-robot interaction. - Shogo Okada; Yoichi Kobayashi; Satoshi Ishibashi; Toyoaki Nishida (AI Soc., 2010)

Effectiveness of haptic interaction in online negotiation between Chinese and Japanese. - Meng Chen; Shogo Okada; Katsumi Nitta (GrC, 2011)

Online incremental clustering with distance metric learning for high dimensional data. - Shogo Okada; Toyoaki Nishida (IJCNN, 2011)

Deliberation Process Support System for Citizen Judge Trial Based on Structure of Factors. - Takanori Sato; Shogo Okada; Katsumi Nitta (JSAI-isAI Workshops, 2011)

Active adaptation in human-agent collaborative interaction. - Yong Xu 012; Yoshimasa Ohmoto; Kazuhiro Ueda; Takanori Komatsu; Takeshi Okadome; Koji Kamei; Shogo Okada; Yasuyuki Sumi; Toyoaki Nishida (J. Intell. Inf. Syst., 2011)

Semantic-Feature-Based Object Recognition by Using Internet Data Mining. - Jing Xu; Shogo Okada; Katsumi Nitta (Web Intelligence/IAT Workshops, 2012)

Analysis of the correlation between the regularity of work behavior and stress indices based on longitudinal behavioral data. - Shogo Okada; Yusaku Sato; Yuki Kamiya; Keiji Yamada; Katsumi Nitta (ICMI, 2012)

Discussion Analysis Using Temporal Data Crystallization. - Masaki Sugimoto; Takahiro Ueda; Shogo Okada; Yukio Ohsawa; Yoshiharu Maeno; Katsumi Nitta (JSAI-isAI Workshops, 2012)

Argument Analysis with Factor Annotation Tool. - Shumpei Kubosawa; Youwei Lu; Shogo Okada; Katsumi Nitta (JURIX, 2012)

Formation conditions of mutual adaptation in human-agent collaborative interaction. - Yong Xu 012; Yoshimasa Ohmoto; Shogo Okada; Kazuhiro Ueda; Takanori Komatsu; Takeshi Okadome; Koji Kamei; Yasuyuki Sumi; Toyoaki Nishida (Appl. Intell., 2012)

A discussion training support system and its evaluation. - Shumpei Kubosawa; Kei Nishina; Masaki Sugimoto; Shogo Okada; Katsumi Nitta (ICAIL, 2013)

Context-based conversational hand gesture classification in narrative interaction. - Shogo Okada; Mayumi Bono; Katsuya Takanashi; Yasuyuki Sumi; Katsumi Nitta (ICMI, 2013)

Semi-supervised Latent Dirichlet Allocation for Multi-label Text Classification. - Youwei Lu; Shogo Okada; Katsumi Nitta (IEA/AIE, 2013)

HAPPIcom: haptic pad for impressive text communication. - Ayano Tamura; Shogo Okada; Katsumi Nitta; Tetsuya Harada; Makoto Sato (IUI Companion, 2013)

A Semantic-Similarity-Based Method for Object Description and Clustering. - Jing Xu; Shogo Okada; Katsumi Nitta (SMC, 2013)

Evaluation of Haptic Interaction in Intercultural Online Negotiation. - Meng Chen; Shogo Okada; Katsumi Nitta (J. Adv. Comput. Intell. Intell. Informatics, 2013)

Domain-Independent Unsupervised Text Segmentation for Data Management. - Makoto Sakahara; Shogo Okada; Katsumi Nitta (ICDM Workshops, 2014)

Predicting Influential Statements in Group Discussions using Speech and Head Motion Information. - Fumio Nihei; Yukiko I. Nakano; Yuki Hayashi; Hung-Hsuan Huang; Shogo Okada (ICMI, 2014)

Estimating User's Attitude in Multimodal Conversational System for Elderly People with Dementia. - Naoko Saito; Shogo Okada; Katsumi Nitta; Yukiko I. Nakano; Yuki Hayashi (AAAI Spring Symposia, 2015)

Predicting Participation Styles using Co-occurrence Patterns of Nonverbal Behaviors in Collaborative Learning. - Yukiko I. Nakano; Sakiko Nihonyanagi; Yutaka Takase; Yuki Hayashi; Shogo Okada (ICMI, 2015)

Personality Trait Classification via Co-Occurrent Multiparty Multimodal Event Discovery. - Shogo Okada; Oya Aran; Daniel Gatica-Perez (ICMI, 2015)

Argumentation Support Tool with Reliability-Based Argumentation Framework. - Kei Nishina; Yuki Katsura; Shogo Okada; Katsumi Nitta (JSAI-isAI Workshops, 2015)

Estimating communication skills using dialogue acts and nonverbal features in multiple discussion datasets. - Shogo Okada; Yoshihiko Ohtake; Yukiko I. Nakano; Yuki Hayashi; Hung-Hsuan Huang; Yutaka Takase; Katsumi Nitta (ICMI, 2016)

Fashion image classification on mobile phones using layered deep convolutional neural networks. - Kazunori Hori; Shogo Okada; Katsumi Nitta (MUM, 2016)

Predicting Performance of Collaborative Storytelling Using Multimodal Analysis. - Shogo Okada; Mi Hang; Katsumi Nitta (IEICE Trans. Inf. Syst., 2016)

Data-driven linearly parametrized controller design based on minimum variance evaluation. - Shogo Okada; Shiro Masuda (ASCC, 2017)

Recognizing Words from Gestures: Discovering Gesture Descriptors Associated with Spoken Utterances. - Shogo Okada; Kazuhiro Otsuka (FG, 2017)

Proposal of a Model to Determine the Attention Target for an Agent in Group Discussion with Non-verbal Features. - Seiya Kimura; Hung-Hsuan Huang; Qi Zhang; Shogo Okada; Naoki Ohta; Kazuhiro Kuwabara (HAI, 2017)

Toward a Supporting System of Communication Skill: The Influence of Functional Roles of Participants in Group Discussion. - Qi Zhang; Hung-Hsuan Huang; Seiya Kimura; Shogo Okada; Yuki Hayashi; Yutaka Takase; Yukiko I. Nakano; Naoki Ohta; Kazuhiro Kuwabara (HCI (13), 2017)

Weibull partition models with applications to hidden semi-Markov models. - Youwei Lu; Shogo Okada; Katsumi Nitta (IJCNN, 2017)

Modeling Content Structures of Domain-Specific Texts with RUP-HDP-HSMM and Its Applications. - Youwei Lu; Shogo Okada; Katsumi Nitta (IEICE Trans. Inf. Syst., 2017)

Multimodal Negative-Attitude Recognition Toward Automatic Conflict-Scene Detection in Negotiation Dialog. - Shogo Okada; Akihiro Matsuda; Katsumi Nitta (HCI (14), 2018)

Adopting Functional Roles for Improving Participants' Communication Skill in Group Discussion Conversation. - Hung-Hsuan Huang; Qi Zhang; Shogo Okada; Kazuhiro Kuwabara; Toyoaki Nishida (GIFT@ICMI, 2018)

Estimating interviewee's willingness in multimodal human robot interview interaction. - Takuya Ishihara; Katsumi Nitta; Fuminori Nagasawa; Shogo Okada (ICMI (adjunct), 2018)

Investigating Effectiveness of Linguistic Features Based on Speech Recognition for Storytelling Skill Assessment. - Shogo Okada; Kazunori Komatani (IEA/AIE, 2018)

Collection of Multimodal Dialog Data and Analysis of the Result of Annotation of Users' Interest Level. - Masahiro Araki; Sayaka Tomimasu; Mikio Nakano; Kazunori Komatani; Shogo Okada; Shinya Fujie; Hiroaki Sugiyama (LREC, 2018)

Dementia Scale Classification Based on Ubiquitous Daily Activity and Interaction Sensing. - Shogo Okada; Ken Inoue; Toru Imai; Mami Noguchi; Kaiko Kuwamura (ACII, 2019)

Gradient Based Pre-filter Design for Data-driven Parameter Updating for Regulatory Controller Based on Variance Evaluation. - Shogo Okada; Tsukasa Yokoyama; Shiro Masuda (CDC, 2019)

Analyzing Eye Movements in Interview Communication with Virtual Reality Agents. - Fuhui Tian; Shogo Okada; Katsumi Nitta (HAI, 2019)

Multimodal BigFive Personality Trait Analysis Using Communication Skill Indices and Multiple Discussion Types Dataset. - Candy Olivia Mawalim; Shogo Okada; Yukiko I. Nakano; Masashi Unoki (HCI (13), 2019)

Multitask Prediction of Exchange-level Annotations for Multimodal Dialogue Systems. - Yuki Hirano; Shogo Okada; Haruto Nishimoto; Kazunori Komatani (ICMI, 2019)

Interaction Process Label Recognition in Group Discussion. - Sixia Li; Shogo Okada; Jianwu Dang 001 (ICMI, 2019)

Task-independent Multimodal Prediction of Group Performance Based on Product Dimensions. - Go Miura; Shogo Okada (ICMI, 2019)

Multimodal Dialogue Data Collection and Analysis of Annotation Disagreement. - Kazunori Komatani; Shogo Okada; Haruto Nishimoto; Masahiro Araki; Mikio Nakano (IWSDS, 2019)

Modeling Dyadic and Group Impressions with Intermodal and Interperson Features. - Shogo Okada; Laurent Son Nguyen; Oya Aran; Daniel Gatica-Perez (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Personality Trait Classification Based on Co-occurrence Pattern Modeling with Convolutional Neural Network. - Ryo Kimura; Shogo Okada (HCI (45), 2020)

Is She Truly Enjoying the Conversation?: Analysis of Physiological Signals toward Adaptive Dialogue Systems. - Shun Katada; Shogo Okada; Yuki Hirano; Kazunori Komatani (ICMI, 2020)

Multimodal Human-Agent Dialogue Corpus with Annotations at Utterance and Dialogue Levels. - Kazunori Komatani; Shogo Okada (ACII, 2021)

Multimodal Analysis of Client Persuasion in Consulting Interactions: Toward Understanding Successful Consulting. - Yasushi Amari; Shogo Okada; Maiko Matsumoto; Kugatsu Sadamitsu; Atsushi Nakamoto (HCI (14), 2021)

Analysis of Modality-Based Presentation Skills Using Sequential Models. - Su Shwe Yi Tun; Shogo Okada; Hung-Hsuan Huang; Chee Wee Leong (HCI (13), 2021)

CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition. - Yahui Fu; Shogo Okada; Longbiao Wang; Lili Guo; Yaodong Song; Jiaxing Liu; Jianwu Dang 001 (ICME, 2021)

Recognizing Social Signals with Weakly Supervised Multitask Learning for Multimodal Dialogue Systems. - Yuki Hirano; Shogo Okada; Kazunori Komatani (ICMI, 2021)

Multimodal User Satisfaction Recognition for Non-task Oriented Dialogue Systems. - Wenqing Wei; Sixia Li; Shogo Okada; Kazunori Komatani (ICMI, 2021)

Task-independent Recognition of Communication Skills in Group Interaction Using Time-series Modeling. - Candy Olivia Mawalim; Shogo Okada; Yukiko I. Nakano (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Psychological Characteristics Estimation from On-Road Driving Data. - Ryusei Kimura; Takahiro Tanaka; Yuki Yoshihara; Kazuhiro Fujikake; Hitoshi Kanamori; Shogo Okada (HCI (14), 2022)

Domain-Invariant Feature Learning for Cross Corpus Speech Emotion Recognition. - Yuan Gao 040; Shogo Okada; Longbiao Wang; Jiaxing Liu; Jianwu Dang 001 (ICASSP, 2022)

Transformer-Based Physiological Feature Learning for Multimodal Analysis of Self-Reported Sentiment. - Shun Katada; Shogo Okada; Kazunori Komatani (ICMI, 2022)

Detecting Change Talk in Motivational Interviewing using Verbal and Facial Information. - Yukiko I. Nakano; Eri Hirose; Tatsuya Sakato; Shogo Okada; Jean-Claude Martin (ICMI, 2022)

Investigating the relationship between dialogue and exchange-level impression. - Wenqing Wei; Sixia Li; Shogo Okada (ICMI, 2022)

IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge. - Hidetoshi Kawaguchi; Yuichi Nakatani; Shogo Okada (ICMLA, 2022)

Multimodal Analysis for Communication Skill and Self-Efficacy Level Estimation in Job Interview Scenario. - Tomoya Ohba; Candy Olivia Mawalim; Shun Katada; Haruki Kuroki; Shogo Okada (MUM, 2022)

IDPS Signature Classification Based on Active Learning With Partial Supervision From Network Security Experts. - Hidetoshi Kawaguchi; Yuichi Nakatani; Shogo Okada (IEEE Access, 2022)

Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors. - Akira Minamisawa; Shogo Okada; Ken Inoue; Mami Noguchi (IEEE Access, 2022)

Personality-adapted multimodal dialogue system. - Tamotsu Miyama; Shogo Okada (CoRR, 2022)

Context- and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition. - Yahui Fu; Shogo Okada; Longbiao Wang; Lili Guo; Yaodong Song; Jiaxing Liu; Jianwu Dang 001 (IEEE Multim., 2022)

Predicting multimodal presentation skills based on instance weighting domain adaptation. - Yutaro Yagi; Shogo Okada; Shota Shiobara; Sota Sugimura (J. Multimodal User Interfaces, 2022)

Biosignal-based user-independent recognition of emotion and personality with importance weighting. - Shun Katada; Shogo Okada (Multim. Tools Appl., 2022)

Intrinsic Representation Mining for Zero-Shot Slot Filling. - Sixia Li; Shogo Okada; Jianwu Dang 001 (IEICE Trans. Inf. Syst., 2022)

Contribution of modulation spectral features for cross-lingual speech emotion recognition under noisy reverberant conditions. - Taiyang Guo; Sixia Li; Shunsuke Kidani; Shogo Okada; Masashi Unoki (APSIPA ASC, 2023)

FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimers Speech Detection. - Wenqing Wei; Zhengdong Yang; Yuan Gao 040; Jiyi Li; Chenhui Chu; Shogo Okada; Sheng Li 010 (ASRU, 2023)

Driver's Cognitive Function Estimation Using Daily Driving Data. - Ryusei Kimura; Takahiro Tanaka; Shogo Okada (EMBC, 2023)

Dementia Scale Classification with Sequential Model from Sleep Activity Data. - Shinichi Sugiura; Shinichiro Yokoyama; Ken Inoue; Shogo Okada (EMBC, 2023)

Auditory Model Optimization with Wavegram-CNN and Acoustic Parameter Models for Nonintrusive Speech Intelligibility Prediction in Hearing Aids. - Candy Olivia Mawalim; Benita Angela Titalim; Shogo Okada; Masashi Unoki (EUSIPCO, 2023)

Investigating the Effect of Linguistic Features on Personality and Job Performance Predictions. - Hung Le; Sixia Li; Candy Olivia Mawalim; Hung-Hsuan Huang; Chee Wee Leong; Shogo Okada (HCI (15), 2023)

Inter-person Intra-modality Attention Based Model for Dyadic Interaction Engagement Prediction. - Xiguang Li; Candy Olivia Mawalim; Shogo Okada (HCI (15), 2023)

Constructing a Closed-Domain Question Answering System with Generative Language Models. - Hung Le; Le Minh Nguyen 001; Jiaying Ni; Shogo Okada (KSE, 2023)

Analyzing Differences in Subjective Annotations by Participants and Third-party Annotators in Multimodal Dialogue Corpus. - Kazunori Komatani; Ryu Takeda; Shogo Okada (SIGDIAL, 2023)

A Ranking Model for Evaluation of Conversation Partners Based on Rapport Levels. - Takato Hayashi; Candy Olivia Mawalim; Ryo Ishii; Akira Morikawa; Atsushi Fukayama; Takao Nakamura; Shogo Okada (IEEE Access, 2023)

Estimating Driver Personality Traits From On-Road Driving Data. - Ryusei Kimura; Takahiro Tanaka; Yuki Yoshihara; Kazuhiro Fujikake; Hitoshi Kanamori; Shogo Okada (IEEE Access, 2023)

Multimodal Transfer Learning for Oral Presentation Assessment. - Su Shwe Yi Tun; Shogo Okada; Hung-Hsuan Huang; Chee Wee Leong (IEEE Access, 2023)

Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language models. - Sixia Li; Shogo Okada (CoRR, 2023)

Android dialogue system for customer service using prompt-based topic control and compliments generation. - Tamotsu Miyama; Shogo Okada (CoRR, 2023)

Personality trait estimation in group discussions using multimodal analysis and speaker embedding. - Candy Olivia Mawalim; Shogo Okada; Yukiko I. Nakano; Masashi Unoki (J. Multimodal User Interfaces, 2023)

Effects of Physiological Signals in Different Types of Multimodal Sentiment Estimation. - Shun Katada; Shogo Okada; Kazunori Komatani (IEEE Trans. Affect. Comput., 2023)

Incremental Multimodal Sentiment Analysis for HAIs Based on Multitask Active Learning with Interannotator Agreement. - Thus Karnjanapatchara; Sixia Li; Candy Olivia Mawalim; Kazunori Komatani; Shogo Okada (ACII, 2024)

Psychological Driving Style Estimation from GPS Sensor Data Alone. - Hiroto Horimoto; Ryusei Kimura; Takahiro Tanaka; Shogo Okada (APSIPA, 2024)

Is Corpus Suitable for Human Perception?: Quality Assessment of Voice Response Timing in Conversational Corpus through Timing Replacement. - Sadahiro Yoshikawa; Ryo Ishii; Shogo Okada (APSIPA, 2024)

Rapport Prediction Using Pairwise Learning in Dyadic Conversations Among Strangers and Among Friends. - Takato Hayashi; Ryusei Kimura; Ryo Ishii; Fumio Nihei; Atsushi Fukayama; Shogo Okada (HCI (22), 2024)

Empirical Analysis of Individual Differences Based on Sentiment Estimation Performance Toward Speaker Adaptation for Social Signal Processing. - Sixia Li; Shogo Okada (HCI (20), 2024)

Investigating the Effect of Driving Support Robot Depending on Driver Characteristics. - Ryusei Kimura; Hiroto Horimoto; Takahiro Tanaka; Shogo Okada (HRI (Companion), 2024)

Investigating Effects of Multimodal Topic-continuance Recognition on Human-Robot Interviewing Interaction. - Fuminori Nagasawa; Shogo Okada (HRI (Companion), 2024)

Multilingual Dyadic Interaction Corpus NoXi+J: Toward Understanding Asian-European Non-verbal Cultural Characteristics and their Influences on Engagement. - Marius Funk; Shogo Okada; Elisabeth André (ICMI, 2024)

Do We Need To Watch It All? Efficient Job Interview Video Processing with Differentiable Masking. - Hung Le; Sixia Li; Candy Olivia Mawalim; Hung-Hsuan Huang; Chee Wee Leong; Shogo Okada (ICMI, 2024)

Automatic mild cognitive impairment estimation from the group conversation of coimagination method. - Sixia Li; Kazumi Kumagai; Mihoko Otake-Matsuura; Shogo Okada (ICMI, 2024)

Are Recent Deep Learning-Based Speech Enhancement Methods Ready to Confront Real-World Noisy Environments? - Candy Olivia Mawalim; Shogo Okada; Masashi Unoki (INTERSPEECH, 2024)

Investigation of Social Factor in Conversational Entrainments. - Yuning Liu; Di Zhou; Aijun Li; Jianwu Dang 001; Shogo Okada; Masashi Unoki (IEEE Access, 2024)

MAG-BERT-ARL for Fair Automated Video Interview Assessment. - Bimasena Putra; Kurniawati Azizah; Candy Olivia Mawalim; Ikhlasul Akmal Hanif; Sakriani Sakti; Chee Wee Leong; Shogo Okada (IEEE Access, 2024)

Hybrid Transformer Architectures With Diverse Audio Features for Deepfake Speech Classification. - Khalid Zaman; Islam J. A. M. Samiul; Melike Sah; Cem Direkoglu; Shogo Okada; Masashi Unoki (IEEE Access, 2024)

BERP: A Blind Estimator of Room Acoustic and Physical Parameters for Single-Channel Noisy Speech Signals. - Lijun Wang; Yixian Lu; Ziyan Gao; Kai Li; Jianqiang Huang; Yuntao Kong; Shogo Okada (CoRR, 2024)

Investigating Role of Big Five Personality Traits in Audio-Visual Rapport Estimation. - Takato Hayashi; Ryusei Kimura; Ryo Ishii; Shogo Okada (CoRR, 2024)

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines. - Genta Indra Winata; Frederikus Hudi; Patrick Amadeus Irawan; David Anugraha; Rifki Afina Putri; Yutong Wang; Adam Nohejl; Ubaidillah Ariq Prathama; Nedjma Ousidhoum; Afifa Amriani; Anar Rzayev; Anirban Das; et al. (CoRR, 2024)

MBCFNet: A Multimodal Brain-Computer Fusion Network for human intention recognition. - Zhongjie Li; Gaoyan Zhang; Shogo Okada; Longbiao Wang; Bin Zhao; Jianwu Dang 001 (Knowl. Based Syst., 2024)

Adversarial Domain Generalized Transformer for Cross-Corpus Speech Emotion Recognition. - Yuan Gao 040; Longbiao Wang; Jiaxing Liu; Jianwu Dang 001; Shogo Okada (IEEE Trans. Affect. Comput., 2024)

Adaptive Interview Strategy Based on Interviewees' Speaking Willingness Recognition for Interview Robots. - Fuminori Nagasawa; Shogo Okada; Takuya Ishihara; Katsumi Nitta (IEEE Trans. Affect. Comput., 2024)

A multimodal dialogue system for customer service based on user personality adaptation and dialogue strategies. - Tamotsu Miyama; Shogo Okada (Adv. Robotics, 2024)

Robust Multilingual Audio Deepfake Detection Through Hybrid Modeling. - Candy Olivia Mawalim; Yutong Wang; Aulia Adila; Shogo Okada; Masashi Unoki (IH&MMSec, 2025)

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines. - Genta Indra Winata; Frederikus Hudi; Patrick Amadeus Irawan; David Anugraha; Rifki Afina Putri; Yutong Wang; Adam Nohejl; Ubaidillah Ariq Prathama; Nedjma Ousidhoum; Afifa Amriani; Anar Rzayev; Anirban Das; et al. (NAACL (Long Papers), 2025)

Beyond accuracy: Multimodal modeling of structured speaking skill indices in young adolescents. - Candy Olivia Mawalim; Chee Wee Leong; Guy Sivan; Hung-Hsuan Huang; Shogo Okada (Comput. Educ. Artif. Intell., 2025)

Transformers and audio detection tasks: An overview. - Khalid Zaman; Kai Li 018; Melike Sah; Cem Direkoglu; Shogo Okada; Masashi Unoki (Digit. Signal Process., 2025)

Influence of Personality Traits and Demographics on Rapport Recognition Using Adversarial Learning. - Wenqing Wei; Sixia Li; Candy Olivia Mawalim; Xiguang Li; Kazunori Komatani; Shogo Okada (Multimodal Technol. Interact., 2025)