| 2025 | SMC | Deterministic and Stochastic Hybrid Modeling with Regularization. | Akira Osaka, Naoya Takeishi, Takehisa Yairi |
| 2022 | IROS | Low-Latency LiDAR Semantic Segmentation. | Takahiro Hori, Takehisa Yairi |
| 2022 | IROS | 3D Human Pose Estimation in Weightless Environments Using a Fisheye Camera. | Koji Minoda, Takehisa Yairi |
| 2019 | PRICAI | Neural Gray-Box Identification of Nonlinear Partial Differential Equations. | Riku Sasaki, Naoya Takeishi, Takehisa Yairi, Koichi Hori |
| 2018 | ACL | Dynamic and Static Topic Model for Analyzing Time-Series Document Collections. | Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori |
| 2017 | FUSION | An active beacon-based target localization method for Unmanned Aerial Vehicles with particle filter. | Shinya Fujita, Takehisa Yairi, Koichi Hori, Shuhei Komatsu |
| 2017 | ICIP | Sparse nonnegative dynamic mode decomposition. | Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi |
| 2017 | IJCAI | Bayesian Dynamic Mode Decomposition. | Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi |
| 2016 | PAKDD | Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data. | Naoya Takeishi, Takehisa Yairi, Naoki Nishimura, Yuta Nakajima, Noboru Takata |
| 2015 | ICRA | Simultaneous estimation of shape and motion of an asteroid for automatic navigation. | Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu |
| 2014 | ACML | Structured Denoising Autoencoder for Fault Detection and Analysis. | Takaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi |
| 2014 | ICIP | Facial alignment by using sparse initialization and random forest. | Chun Fui Liew, Naoto Yokoya, Takehisa Yairi |
| 2014 | ICPR | Generalized BRIEF: A Novel Fast Feature Extraction Method for Robust Hand Detection. | Chun Fui Liew, Takehisa Yairi |
| 2014 | PRICAI | Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction. | Mayu Sakurada, Takehisa Yairi |
| 2014 | SMC | Anomaly detection from multivariate time-series with sparse representation. | Naoya Takeishi, Takehisa Yairi |
| 2013 | HRI | Quadrotor or blimp?: noise and appearance considerations in designing social aerial robot. | Chun Fui Liew, Takehisa Yairi |
| 2012 | PAKDD | Co-embedding of Structurally Missing Data by Locally Linear Alignment. | Takehisa Yairi |
| 2011 | IGARSS | Coupled non-negative matrix factorization (CNMF) for hyperspectral and multispectral data fusion: Application to pasture classification. | Naoto Yokoya, Takehisa Yairi, Akira Iwasaki |
| 2010 | ICPR | Learning Non-linear Dynamical Systems by Alignment of Local Linear Models. | Masao Joko, Yoshinobu Kawahara, Takehisa Yairi |
| 2008 | ICDM | Identification of Causal Variables for Building Energy Fault Detection by Semi-supervised LDA and Decision Boundary Analysis. | Keigo Yoshida, Minoru Inui, Takehisa Yairi, Kazuo Machida, Masaki Shioya, Yoshio Masukawa |
| 2008 | ICRA | Bearing-only mapping by sequential triangulation and multi-dimensional scaling. | Takehisa Yairi, Hirofumi Kanazaki |
| 2008 | PRICAI | Map Building by Sequential Estimation of Inter-feature Distances. | Atsushi Ueta, Takehisa Yairi, Hirofumi Kanazaki, Kazuo Machida |
| 2008 | SMC | Shape modeling using visual ID-tags for robotic applications. | Hideyuki Tanaka, Takehisa Yairi, Kazuo Machida |
| 2007 | ICDM | Change-Point Detection in Time-Series Data Based on Subspace Identification. | Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida |
| 2007 | ICML | Map building without localization by dimensionality reduction techniques. | Takehisa Yairi |
| 2006 | IROS | Utilization of Semantic Information for Robust Task Execution by Autonomous Robots. | Hideyuki Tanaka, Takehisa Yairi, Kazuo Machida |
| 2005 | KDD | An approach to spacecraft anomaly detection problem using kernel feature space. | Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida |
| 2005 | PAKDD | An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning. | Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida |
| 2004 | PAKDD | Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns. | Takehisa Yairi, Shiro Ogasawara, Koichi Hori, Shinichi Nakasuka, Naoki Ishihama |
| 2004 | PRICAI | Covisibility-Based Map Learning Method for Mobile Robots. | Takehisa Yairi |
| 2004 | SMC | Adaptive limit checking for spacecraft telemetry data using regression tree learning. | Minoru Nakatsugawa, Takehisa Yairi, Naoki Ishihama, Koichi Hori, Shinichi Nakasuka, Kazuo Machida |
| 2003 | IJCAI | Qualitative Map Learning Based on Co-visibility of Objects. | Takehisa Yairi, Koichi Hori |
| 2002 | PRICAI | Learning Topological Maps from Sequential Observation and Action Data under Partially Observable Environment. | Takehisa Yairi, Masahito Togami, Koichi Hori |
| 2001 | IROS | Fast and simple topological map construction based on cooccurrence frequency of landmark observation. | Takehisa Yairi, Kosuke Hirama, Koichi Hori |
| 2000 | IROS | Autonomous reconstruction of state space for learning of robot behavior. | Takehisa Yairi, Koichi Hori, Shinichi Nakasuka |
| 2000 | PRICAI | Unified Criterion of State Generalization for Reactive Autonomous Agents. | Takehisa Yairi, Koichi Hori, Shinichi Nakasuka |