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2020 – today
- 2024
[j27]Bimasena Putra, Kurniawati Azizah, Candy Olivia Mawalim, Ikhlasul Akmal Hanif, Sakriani Sakti, Chee Wee Leong, Shogo Okada:
MAG-BERT-ARL for Fair Automated Video Interview Assessment. IEEE Access 12: 145188-145205 (2024)- [j26]Khalid Zaman, Islam J. A. M. Samiul, Melike Sah, Cem Direkoglu, Shogo Okada, Masashi Unoki:
Hybrid Transformer Architectures With Diverse Audio Features for Deepfake Speech Classification. IEEE Access 12: 149221-149237 (2024) - [j25]Tamotsu Miyama
, Shogo Okada:
A multimodal dialogue system for customer service based on user personality adaptation and dialogue strategies. Adv. Robotics 38(4): 195-210 (2024) - [j24]Zhongjie Li, Gaoyan Zhang, Shogo Okada, Longbiao Wang, Bin Zhao, Jianwu Dang:
MBCFNet: A Multimodal Brain-Computer Fusion Network for human intention recognition. Knowl. Based Syst. 296: 111826 (2024) - [j23]Yuan Gao, Longbiao Wang, Jiaxing Liu, Jianwu Dang, Shogo Okada:
Adversarial Domain Generalized Transformer for Cross-Corpus Speech Emotion Recognition. IEEE Trans. Affect. Comput. 15(2): 697-708 (2024) - [j22]Fuminori Nagasawa, Shogo Okada, Takuya Ishihara, Katsumi Nitta:
Adaptive Interview Strategy Based on Interviewees' Speaking Willingness Recognition for Interview Robots. IEEE Trans. Affect. Comput. 15(3): 942-957 (2024) - [c77]Takato Hayashi, Ryusei Kimura, Ryo Ishii, Fumio Nihei, Atsushi Fukayama, Shogo Okada:
Rapport Prediction Using Pairwise Learning in Dyadic Conversations Among Strangers and Among Friends. HCI (22) 2024: 17-28 - [c76]Sixia Li, Shogo Okada:
Empirical Analysis of Individual Differences Based on Sentiment Estimation Performance Toward Speaker Adaptation for Social Signal Processing. HCI (20) 2024: 359-371 - [c75]Ryusei Kimura, Hiroto Horimoto, Takahiro Tanaka, Shogo Okada:
Investigating the Effect of Driving Support Robot Depending on Driver Characteristics. HRI (Companion) 2024: 608-612 - [c74]Fuminori Nagasawa, Shogo Okada:
Investigating Effects of Multimodal Topic-continuance Recognition on Human-Robot Interviewing Interaction. HRI (Companion) 2024: 779-783 - [i7]Lijun Wang, Yixian Lu, Ziyan Gao, Kai Li, Jianqiang Huang, Yuntao Kong, Shogo Okada:
BERP: A Blind Estimator of Room Acoustic and Physical Parameters for Single-Channel Noisy Speech Signals. CoRR abs/2405.04476 (2024) - [i6]Marius Funk, Shogo Okada, Elisabeth André:
Multilingual Dyadic Interaction Corpus NoXi+J: Toward Understanding Asian-European Non-verbal Cultural Characteristics and their Influences on Engagement. CoRR abs/2409.13726 (2024) - 2023
- [j21]Takato Hayashi, Candy Olivia Mawalim, Ryo Ishii, Akira Morikawa, Atsushi Fukayama, Takao Nakamura, Shogo Okada:
A Ranking Model for Evaluation of Conversation Partners Based on Rapport Levels. IEEE Access 11: 73024-73035 (2023) - [j20]Su Shwe Yi Tun, Shogo Okada, Hung-Hsuan Huang, Chee Wee Leong:
Multimodal Transfer Learning for Oral Presentation Assessment. IEEE Access 11: 84013-84026 (2023) - [j19]Ryusei Kimura, Takahiro Tanaka, Yuki Yoshihara, Kazuhiro Fujikake, Hitoshi Kanamori, Shogo Okada:
Estimating Driver Personality Traits From On-Road Driving Data. IEEE Access 11: 93679-93690 (2023) - [j18]Candy Olivia Mawalim, Shogo Okada, Yukiko I. Nakano, Masashi Unoki:
Personality trait estimation in group discussions using multimodal analysis and speaker embedding. J. Multimodal User Interfaces 17(2): 47-63 (2023) - [j17]Shun Katada, Shogo Okada, Kazunori Komatani:
Effects of Physiological Signals in Different Types of Multimodal Sentiment Estimation. IEEE Trans. Affect. Comput. 14(3): 2443-2457 (2023) - [c73]Taiyang Guo, Sixia Li, Shunsuke Kidani, Shogo Okada, Masashi Unoki:
Contribution of modulation spectral features for cross-lingual speech emotion recognition under noisy reverberant conditions. APSIPA ASC 2023: 2221-2227 - [c72]Wenqing Wei, Zhengdong Yang, Yuan Gao, Jiyi Li, Chenhui Chu, Shogo Okada, Sheng Li:
FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimers Speech Detection. ASRU 2023: 1-6 - [c71]Ryusei Kimura, Takahiro Tanaka, Shogo Okada:
Driver's Cognitive Function Estimation Using Daily Driving Data. EMBC 2023: 1-4 - [c70]Shinichi Sugiura, Shinichiro Yokoyama, Ken Inoue, Shogo Okada:
Dementia Scale Classification with Sequential Model from Sleep Activity Data. EMBC 2023: 1-5 - [c69]Candy Olivia Mawalim, Benita Angela Titalim, Shogo Okada, Masashi Unoki:
Auditory Model Optimization with Wavegram-CNN and Acoustic Parameter Models for Nonintrusive Speech Intelligibility Prediction in Hearing Aids. EUSIPCO 2023: 211-215 - [c68]Xiguang Li, Candy Olivia Mawalim, Shogo Okada:
Inter-person Intra-modality Attention Based Model for Dyadic Interaction Engagement Prediction. HCI (15) 2023: 91-105 - [c67]Hung Le, Sixia Li, Candy Olivia Mawalim, Hung-Hsuan Huang, Chee Wee Leong, Shogo Okada:
Investigating the Effect of Linguistic Features on Personality and Job Performance Predictions. HCI (15) 2023: 370-383 - [c66]Hung Le, Le Minh Nguyen, Jiaying Ni, Shogo Okada:
Constructing a Closed-Domain Question Answering System with Generative Language Models. KSE 2023: 1-6 - [c65]Kazunori Komatani, Ryu Takeda, Shogo Okada:
Analyzing Differences in Subjective Annotations by Participants and Third-party Annotators in Multimodal Dialogue Corpus. SIGDIAL 2023: 104-113 - [i5]Ryusei Kimura, Takahiro Tanaka, Yuki Yoshihara, Kazuhiro Fujikake, Hitoshi Kanamori, Shogo Okada:
Estimating Driver Personality Traits from On-Road Driving Data. CoRR abs/2302.10898 (2023) - [i4]Sixia Li, Shogo Okada:
Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language models. CoRR abs/2305.06162 (2023) - [i3]Tamotsu Miyama, Shogo Okada:
Android dialogue system for customer service using prompt-based topic control and compliments generation. CoRR abs/2312.12924 (2023) - 2022
- [j16]Akira Minamisawa, Shogo Okada, Ken Inoue, Mami Noguchi:
Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors. IEEE Access 10: 38931-38943 (2022) - [j15]Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada:
IDPS Signature Classification Based on Active Learning With Partial Supervision From Network Security Experts. IEEE Access 10: 105713-105725 (2022) - [j14]Yahui Fu, Shogo Okada, Longbiao Wang, Lili Guo, Yaodong Song, Jiaxing Liu, Jianwu Dang:
Context- and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition. IEEE Multim. 29(3): 91-100 (2022) - [j13]Sixia Li, Shogo Okada, Jianwu Dang:
Intrinsic Representation Mining for Zero-Shot Slot Filling. IEICE Trans. Inf. Syst. 105-D(11): 1947-1956 (2022) - [j12]Yutaro Yagi, Shogo Okada, Shota Shiobara, Sota Sugimura:
Predicting multimodal presentation skills based on instance weighting domain adaptation. J. Multimodal User Interfaces 16(1): 1-16 (2022) - [j11]Shun Katada, Shogo Okada:
Biosignal-based user-independent recognition of emotion and personality with importance weighting. Multim. Tools Appl. 81(21): 30219-30241 (2022) - [c64]Ryusei Kimura, Takahiro Tanaka, Yuki Yoshihara, Kazuhiro Fujikake, Hitoshi Kanamori, Shogo Okada:
Psychological Characteristics Estimation from On-Road Driving Data. HCI (14) 2022: 146-159 - [c63]Yuan Gao, Shogo Okada, Longbiao Wang, Jiaxing Liu, Jianwu Dang:
Domain-Invariant Feature Learning for Cross Corpus Speech Emotion Recognition. ICASSP 2022: 6427-6431 - [c62]Yukiko I. Nakano, Eri Hirose, Tatsuya Sakato, Shogo Okada, Jean-Claude Martin:
Detecting Change Talk in Motivational Interviewing using Verbal and Facial Information. ICMI 2022: 5-14 - [c61]Shun Katada, Shogo Okada, Kazunori Komatani:
Transformer-Based Physiological Feature Learning for Multimodal Analysis of Self-Reported Sentiment. ICMI 2022: 349-358 - [c60]Wenqing Wei, Sixia Li, Shogo Okada:
Investigating the relationship between dialogue and exchange-level impression. ICMI 2022: 359-367 - [c59]Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada:
IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge. ICMLA 2022: 623-628 - [c58]Tomoya Ohba, Candy Olivia Mawalim, Shun Katada, Haruki Kuroki, Shogo Okada:
Multimodal Analysis for Communication Skill and Self-Efficacy Level Estimation in Job Interview Scenario. MUM 2022: 110-120 - [i2]Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada:
IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge. CoRR abs/2207.10797 (2022) - [i1]Tamotsu Miyama, Shogo Okada:
Personality-adapted multimodal dialogue system. CoRR abs/2210.09761 (2022) - 2021
- [j10]Candy Olivia Mawalim, Shogo Okada, Yukiko I. Nakano:
Task-independent Recognition of Communication Skills in Group Interaction Using Time-series Modeling. ACM Trans. Multim. Comput. Commun. Appl. 17(4): 122:1-122:27 (2021) - [c57]Kazunori Komatani, Shogo Okada:
Multimodal Human-Agent Dialogue Corpus with Annotations at Utterance and Dialogue Levels. ACII 2021: 1-8 - [c56]Yasushi Amari, Shogo Okada, Maiko Matsumoto, Kugatsu Sadamitsu, Atsushi Nakamoto:
Multimodal Analysis of Client Persuasion in Consulting Interactions: Toward Understanding Successful Consulting. HCI (14) 2021: 29-40 - [c55]Su Shwe Yi Tun, Shogo Okada, Hung-Hsuan Huang, Chee Wee Leong:
Analysis of Modality-Based Presentation Skills Using Sequential Models. HCI (13) 2021: 358-369 - [c54]Yahui Fu, Shogo Okada, Longbiao Wang, Lili Guo, Yaodong Song, Jiaxing Liu, Jianwu Dang:
CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition. ICME 2021: 1-6 - [c53]Yuki Hirano, Shogo Okada, Kazunori Komatani:
Recognizing Social Signals with Weakly Supervised Multitask Learning for Multimodal Dialogue Systems. ICMI 2021: 141-149 - [c52]Wenqing Wei, Sixia Li, Shogo Okada, Kazunori Komatani:
Multimodal User Satisfaction Recognition for Non-task Oriented Dialogue Systems. ICMI 2021: 586-594 - 2020
- [c51]Ryo Kimura, Shogo Okada:
Personality Trait Classification Based on Co-occurrence Pattern Modeling with Convolutional Neural Network. HCI (45) 2020: 359-370 - [c50]Shun Katada, Shogo Okada, Yuki Hirano, Kazunori Komatani:
Is She Truly Enjoying the Conversation?: Analysis of Physiological Signals toward Adaptive Dialogue Systems. ICMI 2020: 315-323
2010 – 2019
- 2019
- [j9]Shogo Okada, Laurent Son Nguyen, Oya Aran, Daniel Gatica-Perez:
Modeling Dyadic and Group Impressions with Intermodal and Interperson Features. ACM Trans. Multim. Comput. Commun. Appl. 15(1s): 13:1-13:30 (2019) - [c49]Shogo Okada, Ken Inoue, Toru Imai, Mami Noguchi, Kaiko Kuwamura:
Dementia Scale Classification Based on Ubiquitous Daily Activity and Interaction Sensing. ACII 2019: 192-198 - [c48]Shogo Okada, Tsukasa Yokoyama, Shiro Masuda:
Gradient Based Pre-filter Design for Data-driven Parameter Updating for Regulatory Controller Based on Variance Evaluation. CDC 2019: 2898-2903 - [c47]Fuhui Tian, Shogo Okada, Katsumi Nitta:
Analyzing Eye Movements in Interview Communication with Virtual Reality Agents. HAI 2019: 3-10 - [c46]Candy Olivia Mawalim, Shogo Okada, Yukiko I. Nakano, Masashi Unoki:
Multimodal BigFive Personality Trait Analysis Using Communication Skill Indices and Multiple Discussion Types Dataset. HCI (13) 2019: 370-383 - [c45]Yuki Hirano, Shogo Okada, Haruto Nishimoto, Kazunori Komatani:
Multitask Prediction of Exchange-level Annotations for Multimodal Dialogue Systems. ICMI 2019: 85-94 - [c44]Go Miura, Shogo Okada:
Task-independent Multimodal Prediction of Group Performance Based on Product Dimensions. ICMI 2019: 264-273 - [c43]Sixia Li, Shogo Okada, Jianwu Dang:
Interaction Process Label Recognition in Group Discussion. ICMI 2019: 426-434 - [c42]Kazunori Komatani, Shogo Okada, Haruto Nishimoto, Masahiro Araki, Mikio Nakano:
Multimodal Dialogue Data Collection and Analysis of Annotation Disagreement. IWSDS 2019: 201-213 - 2018
- [c41]Shogo Okada, Akihiro Matsuda, Katsumi Nitta:
Multimodal Negative-Attitude Recognition Toward Automatic Conflict-Scene Detection in Negotiation Dialog. HCI (14) 2018: 268-278 - [c40]Takuya Ishihara, Katsumi Nitta, Fuminori Nagasawa, Shogo Okada:
Estimating interviewee's willingness in multimodal human robot interview interaction. ICMI (adjunct) 2018: 2:1-2:6 - [c39]Hung-Hsuan Huang, Qi Zhang, Shogo Okada, Kazuhiro Kuwabara, Toyoaki Nishida:
Adopting Functional Roles for Improving Participants' Communication Skill in Group Discussion Conversation. GIFT@ICMI 2018: 6:1-6:9 - [c38]Shogo Okada, Kazunori Komatani:
Investigating Effectiveness of Linguistic Features Based on Speech Recognition for Storytelling Skill Assessment. IEA/AIE 2018: 148-157 - [c37]Masahiro Araki, Sayaka Tomimasu, Mikio Nakano, Kazunori Komatani, Shogo Okada, Shinya Fujie, Hiroaki Sugiyama:
Collection of Multimodal Dialog Data and Analysis of the Result of Annotation of Users' Interest Level. LREC 2018 - 2017
- [j8]Youwei Lu, Shogo Okada, Katsumi Nitta:
Modeling Content Structures of Domain-Specific Texts with RUP-HDP-HSMM and Its Applications. IEICE Trans. Inf. Syst. 100-D(9): 2126-2137 (2017) - [c36]Shogo Okada, Shiro Masuda:
Data-driven linearly parametrized controller design based on minimum variance evaluation. ASCC 2017: 513-518 - [c35]Shogo Okada, Kazuhiro Otsuka:
Recognizing Words from Gestures: Discovering Gesture Descriptors Associated with Spoken Utterances. FG 2017: 430-437 - [c34]Seiya Kimura, Hung-Hsuan Huang, Qi Zhang, Shogo Okada, Naoki Ohta, Kazuhiro Kuwabara:
Proposal of a Model to Determine the Attention Target for an Agent in Group Discussion with Non-verbal Features. HAI 2017: 195-202 - [c33]Qi Zhang, Hung-Hsuan Huang, Seiya Kimura, Shogo Okada, Yuki Hayashi, Yutaka Takase, Yukiko I. Nakano, Naoki Ohta, Kazuhiro Kuwabara:
Toward a Supporting System of Communication Skill: The Influence of Functional Roles of Participants in Group Discussion. HCI (13) 2017: 178-188 - [c32]Youwei Lu, Shogo Okada, Katsumi Nitta:
Weibull partition models with applications to hidden semi-Markov models. IJCNN 2017: 162-169 - 2016
- [j7]Shogo Okada, Mi Hang, Katsumi Nitta:
Predicting Performance of Collaborative Storytelling Using Multimodal Analysis. IEICE Trans. Inf. Syst. 99-D(6): 1462-1473 (2016) - [c31]Shogo Okada, Yoshihiko Ohtake, Yukiko I. Nakano, Yuki Hayashi, Hung-Hsuan Huang, Yutaka Takase, Katsumi Nitta:
Estimating communication skills using dialogue acts and nonverbal features in multiple discussion datasets. ICMI 2016: 169-176 - [c30]Kazunori Hori, Shogo Okada, Katsumi Nitta:
Fashion image classification on mobile phones using layered deep convolutional neural networks. MUM 2016: 359-361 - 2015
- [c29]Naoko Saito, Shogo Okada, Katsumi Nitta, Yukiko I. Nakano, Yuki Hayashi:
Estimating User's Attitude in Multimodal Conversational System for Elderly People with Dementia. AAAI Spring Symposia 2015 - [c28]Shogo Okada, Oya Aran, Daniel Gatica-Perez:
Personality Trait Classification via Co-Occurrent Multiparty Multimodal Event Discovery. ICMI 2015: 15-22 - [c27]Yukiko I. Nakano, Sakiko Nihonyanagi, Yutaka Takase, Yuki Hayashi, Shogo Okada:
Predicting Participation Styles using Co-occurrence Patterns of Nonverbal Behaviors in Collaborative Learning. ICMI 2015: 91-98 - [c26]Kei Nishina, Yuki Katsura, Shogo Okada, Katsumi Nitta:
Argumentation Support Tool with Reliability-Based Argumentation Framework. JSAI-isAI Workshops 2015: 265-281 - 2014
- [c25]Makoto Sakahara, Shogo Okada, Katsumi Nitta:
Domain-Independent Unsupervised Text Segmentation for Data Management. ICDM Workshops 2014: 481-487 - [c24]Fumio Nihei, Yukiko I. Nakano, Yuki Hayashi, Hung-Hsuan Huang, Shogo Okada:
Predicting Influential Statements in Group Discussions using Speech and Head Motion Information. ICMI 2014: 136-143 - 2013
- [j6]Meng Chen, Shogo Okada, Katsumi Nitta:
Evaluation of Haptic Interaction in Intercultural Online Negotiation. J. Adv. Comput. Intell. Intell. Informatics 17(6): 779-790 (2013) - [c23]Shumpei Kubosawa, Kei Nishina, Masaki Sugimoto, Shogo Okada, Katsumi Nitta:
A discussion training support system and its evaluation. ICAIL 2013: 197-201 - [c22]Shogo Okada, Mayumi Bono, Katsuya Takanashi, Yasuyuki Sumi, Katsumi Nitta:
Context-based conversational hand gesture classification in narrative interaction. ICMI 2013: 303-310 - [c21]Youwei Lu, Shogo Okada, Katsumi Nitta:
Semi-supervised Latent Dirichlet Allocation for Multi-label Text Classification. IEA/AIE 2013: 351-360 - [c20]Ayano Tamura, Shogo Okada, Katsumi Nitta, Tetsuya Harada, Makoto Sato:
HAPPIcom: haptic pad for impressive text communication. IUI Companion 2013: 101-102 - [c19]Jing Xu, Shogo Okada, Katsumi Nitta:
A Semantic-Similarity-Based Method for Object Description and Clustering. SMC 2013: 3669-3674 - 2012
- [j5]Yong Xu, Yoshimasa Ohmoto, Shogo Okada, Kazuhiro Ueda, Takanori Komatsu, Takeshi Okadome, Koji Kamei, Yasuyuki Sumi, Toyoaki Nishida:
Formation conditions of mutual adaptation in human-agent collaborative interaction. Appl. Intell. 36(1): 208-228 (2012) - [c18]Jing Xu, Shogo Okada, Katsumi Nitta:
Semantic-Feature-Based Object Recognition by Using Internet Data Mining. Web Intelligence/IAT Workshops 2012: 87-91 - [c17]Shogo Okada, Yusaku Sato, Yuki Kamiya, Keiji Yamada, Katsumi Nitta:
Analysis of the correlation between the regularity of work behavior and stress indices based on longitudinal behavioral data. ICMI 2012: 425-432 - [c16]Masaki Sugimoto, Takahiro Ueda, Shogo Okada, Yukio Ohsawa, Yoshiharu Maeno, Katsumi Nitta:
Discussion Analysis Using Temporal Data Crystallization. JSAI-isAI Workshops 2012: 205-216 - [c15]Shumpei Kubosawa, Youwei Lu, Shogo Okada, Katsumi Nitta:
Argument Analysis with Factor Annotation Tool. JURIX 2012: 61-70 - 2011
- [j4]Yong Xu, Yoshimasa Ohmoto, Kazuhiro Ueda, Takanori Komatsu, Takeshi Okadome, Koji Kamei, Shogo Okada, Yasuyuki Sumi, Toyoaki Nishida:
Active adaptation in human-agent collaborative interaction. J. Intell. Inf. Syst. 37(1): 23-38 (2011) - [c14]Meng Chen, Shogo Okada, Katsumi Nitta:
Effectiveness of haptic interaction in online negotiation between Chinese and Japanese. GrC 2011: 111-114 - [c13]Shogo Okada, Toyoaki Nishida:
Online incremental clustering with distance metric learning for high dimensional data. IJCNN 2011: 2047-2054 - [c12]Takanori Sato, Shogo Okada, Katsumi Nitta:
Deliberation Process Support System for Citizen Judge Trial Based on Structure of Factors. JSAI-isAI Workshops 2011: 155-169 - 2010
- [j3]Shogo Okada, Yoichi Kobayashi, Satoshi Ishibashi, Toyoaki Nishida:
Incremental learning of gestures for human-robot interaction. AI Soc. 25(2): 155-168 (2010) - [c11]Shogo Okada, Toyoaki Nishida:
Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric Learning. ICANN (2) 2010: 468-478 - [c10]Shogo Okada, Osamu Hasegawa, Toyoaki Nishida:
Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network. ICANN (3) 2010: 541-550 - [c9]Shogo Okada, Satoshi Ishibashi, Toyoaki Nishida:
On-Line Unsupervised Segmentation for Multidimensional Time-Series Data and Application to Spatiotemporal Gesture data. IEA/AIE (1) 2010: 337-347
2000 – 2009
- 2009
- [c8]Yong Xu, Yoshimasa Ohmoto, Kazuhiro Ueda, Takanori Komatsu, Takeshi Okadome, Koji Kamei, Shogo Okada, Yasuyuki Sumi, Toyoaki Nishida:
Actively Adaptive Agent for Human-Agent Collaborative Task. AMT 2009: 19-30 - [c7]Yong Xu, Yoshimasa Ohmoto, Kazuhiro Ueda, Takanori Komatsu, Takeshi Okadome, Koji Kamei, Shogo Okada, Yasuyuki Sumi, Toyoaki Nishida:
A Platform System for Developing a Collaborative Mutually Adaptive Agent. IEA/AIE 2009: 576-585 - [c6]Shogo Okada, Toyoaki Nishida:
Incremental clustering of gesture patterns based on a self organizing incremental neural network. IJCNN 2009: 2316-2322 - [c5]Yasser F. O. Mohammad, Toyoaki Nishida, Shogo Okada:
Unsupervised simultaneous learning of gestures, actions and their associations for Human-Robot Interaction. IROS 2009: 2537-2544 - 2008
- [c4]Shogo Okada, Osamu Hasegawa:
Motion recognition based on Dynamic-Time Warping method with Self-Organizing Incremental Neural Network. ICPR 2008: 1-4 - [c3]Shogo Okada, Osamu Hasegawa:
On-line learning of sequence data based on Self-Organizing Incremental Neural Network. IJCNN 2008: 3847-3854 - 2007
- [c2]Shogo Okada, Osamu Hasegawa:
Classification of Temporal Data Based on Self-organizing Incremental Neural Network. ICANN (2) 2007: 465-475 - 2006
- [j2]Shogo Okada, Osamu Hasegawa:
Incremental Learning, Recognition, and Generation of Time-Series Patterns Based on Self-Organizing Segmentation. J. Adv. Comput. Intell. Intell. Informatics 10(3): 395-408 (2006) - [c1]Shogo Okada, Osamu Hasegawa:
Unsupervised Learning, Recognition, and Generation of Time-series Patterns Based on Self-Organizing Segmentation. RO-MAN 2006: 716-721
1990 – 1999
- 1999
- [j1]Shogo Okada, Yuuki Matsuda, Tomoaki Yamada, Akihiro Kobayashi:
System on a chip for digital still camera. IEEE Trans. Consumer Electron. 45(3): 584-590 (1999)
Coauthor Index
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