Robust audio watermark method using sinusoid patterns based on pseudo-random sequences. - Zheng Liu; Yoshiyuki Kobayashi; Shusaku Sawato; Akira Inoue (Security and Watermarking of Multimedia Contents, 2003)

Automatic Generation of Musical Instrument Detector by Using Evolutionary Learning Method. - Yoshiyuki Kobayashi (ISMIR, 2009)

Humanoid robot as an evaluator of assistive devices. - Kanako Miura; Eiichi Yoshida; Yoshiyuki Kobayashi; Yui Endo 001; Fumio Kanehiro; Keiko Homma; Isamu Kajitani; Yoshio Matsumoto; Takayuki Tanaka (ICRA, 2013)

Production Estimation for Shale Wells with Sentiment-Based Features from Geology Reports. - Bin Tong; Hiroaki Ozaki; Makoto Iwayama; Yoshiyuki Kobayashi; Anshuman Sahu; Ravigopal Vennelakanti (ICDM Workshops, 2015)

Deep Match between Geology Reports and Well Logs Using Spatial Information. - Bin Tong; Martin Klinkigt; Makoto Iwayama; Yoshiyuki Kobayashi; Anshuman Sahu; Ravigopal Vennelakanti (CIKM, 2016)

Modeling and analysis of individual with lower extremity amputation locomotion using prosthetic feet and running-specific prostheses. - Akihiko Murai; Hiroaki Hobara; Satoru Hashizume; Yoshiyuki Kobayashi; Mitsunori Tada (EMBC, 2017)

Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention. - Bin Tong; Martin Klinkigt; Makoto Iwayama; Toshihiko Yanase; Yoshiyuki Kobayashi; Anshuman Sahu; Ravigopal Vennelakanti (KDD, 2017)

Adversarial Zero-shot Learning With Semantic Augmentation. - Bin Tong; Martin Klinkigt; Junwen Chen; Xiankun Cui; Quan Kong; Tomokazu Murakami; Yoshiyuki Kobayashi (AAAI, 2018)

Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning. - Giovanni Yoko Kristianto; Huiwen Zhang; Bin Tong; Makoto Iwayama; Yoshiyuki Kobayashi (SCAI@EMNLP, 2018)

Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning. - Bin Tong; Chao Wang; Martin Klinkigt; Yoshiyuki Kobayashi; Yuuichi Nonaka (CVPR, 2019)

Photrace: A Blockchain-Based Traceability System for Photographs on the Internet. - Tatsuya Igarashi; Takabayashi Kazuhiko; Yoshiyuki Kobayashi; Hiroshi Kuno; Eric Diehl (Blockchain, 2021)

Pedestrian Behavior in Japan and Germany: A Review. - Lorena Hell; Janis Sprenger; Matthias Klusch; Yoshiyuki Kobayashi; Christian Müller 014 (IV, 2021)

Radar-based Gait Classification of Elderly Non-Fallers and Multiple Fallers Using Machine Learning. - Keitaro Shioiri; Kenshi Saho; Masahiro Fujimoto; Yoshiyuki Kobayashi (LifeTech, 2021)

Micro-Doppler Radar Gait Measurement to Detect Age- and Fall Risk-Related Differences in Gait: A Simulation Study on Comparison of Deep Learning and Gait Parameter-Based Approaches. - Kenshi Saho; Keitaro Shioiri; Masahiro Fujimoto; Yoshiyuki Kobayashi (IEEE Access, 2021)

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives. - Akio Hayakawa; Masato Ishii; Yoshiyuki Kobayashi; Akira Nakamura; Takuya Narihira; Yukio Obuchi; Andrew Shin; Takuya Yashima; Kazuki Yoshiyama (CoRR, 2021)

Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions. - Kenji Suzuki; Yoshiyuki Kobayashi; Takuya Narihira (CoRR, 2021)

Development of QSAR models for prediction of fish bioconcentration factors using physicochemical properties and molecular descriptors with machine learning algorithms. - Yoshiyuki Kobayashi; Kenichi Yoshida (Ecol. Informatics, 2021)

Automated retention time prediction of new psychoactive substances in gas chromatography. - Yoshiyuki Kobayashi; Kenichi Yoshida (KES, 2022)

Development of Smartphone Application for Markerless Three-Dimensional Motion Capture Based on Deep Learning Model. - Yukihiko Aoyagi; Shigeki Yamada; Shigeo Ueda; Chifumi Iseki; Toshiyuki Kondo; Keisuke Mori; Yoshiyuki Kobayashi; Tadanori Fukami; Minoru Hoshimaru; Masatsune Ishikawa; Yasuyuki Ohta (Sensors, 2022)

Experimental Verification of Micro-Doppler Radar Measurements of Fall-Risk-Related Gait Differences for Community-Dwelling Elderly Adults. - Kenshi Saho; Masahiro Fujimoto; Yoshiyuki Kobayashi; Michito Matsumoto (Sensors, 2022)

Cross-Cultural Behavior Analysis of Street-Crossing Pedestrians in Japan and Germany. - Janis Sprenger; Lorena Hell; Matthias Klusch; Yoshiyuki Kobayashi; Shoma Kudo; Christian Müller 014 (IV, 2023)

Quantitative Gait Feature Assessment on Two-Dimensional Body Axis Projection Planes Converted from Three-Dimensional Coordinates Estimated with a Deep Learning Smartphone App. - Shigeki Yamada; Yukihiko Aoyagi; Chifumi Iseki; Toshiyuki Kondo; Yoshiyuki Kobayashi; Shigeo Ueda; Keisuke Mori; Tadanori Fukami; Motoki Tanikawa; Mitsuhito Mase; Minoru Hoshimaru; Masatsune Ishikawa; et al. (Sensors, 2023)

Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT). - Chifumi Iseki; Tatsuya Hayasaka; Hyota Yanagawa; Yuta Komoriya; Toshiyuki Kondo; Masayuki Hoshi; Tadanori Fukami; Yoshiyuki Kobayashi; Shigeo Ueda; Kaneyuki Kawamae; Masatsune Ishikawa; Shigeki Yamada; et al. (Sensors, 2023)

Fluctuations in Upper and Lower Body Movement during Walking in Normal Pressure Hydrocephalus and Parkinson's Disease Assessed by Motion Capture with a Smartphone Application, TDPT-GT. - Chifumi Iseki; Shou Suzuki; Tadanori Fukami; Shigeki Yamada; Tatsuya Hayasaka; Toshiyuki Kondo; Masayuki Hoshi; Shigeo Ueda; Yoshiyuki Kobayashi; Masatsune Ishikawa; Shigenori Kanno; Kyoko Suzuki; et al. (Sensors, 2023)

Analysis of 50 Years of Health Food Research Trends Using Natural Language Processing and Generative AI. - Yoshiyuki Kobayashi; Takumi Uchida; Takahiro Inoue; Yusuke Iwasaki; Rie Ito; Koichi Saito; Hiroshi Akiyama; Kazuhiko Tsuda; Kenichi Yoshida (KES, 2024)

Project Progress on XR-AI Platform for Tele-Rehab and Health Guidance. - Takeshi Kurata; Kunihiro Ogata; Shusuke Kanazawa; Yumeko Imamura; Akihiro Sato; Satoki Ogiso; Yoshiyuki Kobayashi; Ryosuke Ichikari; Satoshi Nakae; Mitsunori Tada; Tomoki Aoyama; Hiroki Shimizu; et al. (VR Workshops, 2024)

Wearable Device and Algorithm for Fall Prevention: Monitoring Fall Risk Using Foot Motion Measured by an In-Shoe Motion Sensor. - Chenhui Huang; Fumiyuki Nihey; Takuma Inai; Yoshiyuki Kobayashi; Koji Fujita; Akiko Yamamoto; Masahiro Fujimoto; Kenichiro Fukushi; Kentaro Nakahara (IEEE Trans. Instrum. Meas., 2024)

Classification of Fashion Models' Walking Styles Using Publicly Available Data, Pose Detection Technology, and Multivariate Analysis: From Past to Current Trendy Walking Styles. - Yoshiyuki Kobayashi; Sakiko Saito; Tatsuya Murahori (Sensors, 2024)

Errors in Estimating Lower-Limb Joint Angles and Moments during Walking Based on Pelvic Accelerations: Influence of Virtual Inertial Measurement Unit's Frontal Plane Misalignment. - Takuma Inai; Yoshiyuki Kobayashi; Motoki Sudo; Yukari Yamashiro; Tomoya Ueda (Sensors, 2024)

Development of a Gait Analysis Application for Assessing Upper and Lower Limb Movements to Detect Pathological Gait. - Atsuhito Taishaku; Shigeki Yamada; Chifumi Iseki; Yukihiko Aoyagi; Shigeo Ueda; Toshiyuki Kondo; Yoshiyuki Kobayashi; Kento Sahashi; Yoko Shimizu; Tomoyasu Yamanaka; Motoki Tanikawa; Yasuyuki Ohta; et al. (Sensors, 2024)

A playful experience sampling method to report emotions using smartwatches and emojis. - Shota Watanabe; Gaku Kutsuzawa; Yoshiyuki Kobayashi; Kohei Matsumura (Entertain. Comput., 2025)

Seeing is Understanding: Unlocking Causal Attention into Modality-Mutual Attention for Multimodal LLMs. - Wei-Yao Wang; Zhao Wang 009; Helen Suzuki; Yoshiyuki Kobayashi (CoRR, 2025)