Autonomous generation of reflexion-based robot controller using inductive learning. - Shinichi Nakasuka; Takehisa Yairi; Hiroyuki Wajima (Robotics Auton. Syst., 1996)

Autonomous reconstruction of state space for learning of robot behavior. - Takehisa Yairi; Koichi Hori; Shinichi Nakasuka (IROS, 2000)

Unified Criterion of State Generalization for Reactive Autonomous Agents. - Takehisa Yairi; Koichi Hori; Shinichi Nakasuka (PRICAI, 2000)

Fast and simple topological map construction based on cooccurrence frequency of landmark observation. - Takehisa Yairi; Kosuke Hirama; Koichi Hori (IROS, 2001)

Integrating Data Mining Techniques and Design Information Management for Failure Prevention. - Yoshikiyo Kato; Takehisa Yairi; Koichi Hori (JSAI Workshops, 2001)

Learning Topological Maps from Sequential Observation and Action Data under Partially Observable Environment. - Takehisa Yairi; Masahito Togami; Koichi Hori (PRICAI, 2002)

Learning Topological Structures of POMDP-based State Transition Models by State Splitting Method. - Takehisa Yairi; Masahito Togami; Koichi Hori (Applied Informatics, 2003)

Intention Recognition for Vehicle Driving by Sensing of User and Environment. - Ikuko Eguchi Yairi; Takehisa Yairi; Seiji Igi (Applied Informatics, 2003)

Qualitative map building method for mobile robots based on co-visibility of landmark objects. - Takehisa Yairi; Koichi Hori (CIRA, 2003)

Qualitative Map Learning Based on Co-visibility of Objects. - Takehisa Yairi; Koichi Hori (IJCAI, 2003)

Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns. - Takehisa Yairi; Shiro Ogasawara; Koichi Hori; Shinichi Nakasuka; Naoki Ishihama (PAKDD, 2004)

Covisibility-Based Map Learning Method for Mobile Robots. - Takehisa Yairi (PRICAI, 2004)

Adaptive limit checking for spacecraft telemetry data using regression tree learning. - Minoru Nakatsugawa; Takehisa Yairi; Naoki Ishihama; Koichi Hori; Shinichi Nakasuka; Kazuo Machida (SMC (6), 2004)

An approach to spacecraft anomaly detection problem using kernel feature space. - Ryohei Fujimaki; Takehisa Yairi; Kazuo Machida (KDD, 2005)

An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning. - Ryohei Fujimaki; Takehisa Yairi; Kazuo Machida (PAKDD, 2005)

Qualitative map learning based on covisibility of objects. - Takehisa Yairi; Koichi Hori; Kosuke Hirama (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Utilization of Semantic Information for Robust Task Execution by Autonomous Robots. - Hideyuki Tanaka; Takehisa Yairi; Kazuo Machida (IROS, 2006)

A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems. - Yoshinobu Kawahara; Takehisa Yairi; Kazuo Machida (NIPS, 2006)

Reconfigurable Cellular Satellites Maintained by Space Robots. - Hideyuki Tanaka; Noritaka Yamamoto; Takehisa Yairi; Kazuo Machida (J. Robotics Mechatronics, 2006)

Variational Approximation Data Association Filter. - Hirofumi Kanazaki; Takehisa Yairi; Kazuo Machida; Kenji Kondo; Yoshihiko Matsukawa (EUSIPCO, 2007)

Change-Point Detection in Time-Series Data Based on Subspace Identification. - Yoshinobu Kawahara; Takehisa Yairi; Kazuo Machida (ICDM, 2007)

Map building without localization by dimensionality reduction techniques. - Takehisa Yairi (ICML, 2007)

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 (ICDM Workshops, 2008)

Bearing-only mapping by sequential triangulation and multi-dimensional scaling. - Takehisa Yairi; Hirofumi Kanazaki (ICRA, 2008)

Map Building by Sequential Estimation of Inter-feature Distances. - Atsushi Ueta; Takehisa Yairi; Hirofumi Kanazaki; Kazuo Machida (PRICAI, 2008)

Shape modeling using visual ID-tags for robotic applications. - Hideyuki Tanaka; Takehisa Yairi; Kazuo Machida (SMC, 2008)

Information-based exploration strategy for mobile robot in dynamic environment. - Satoshi Hirashita; Takehisa Yairi (CIRA, 2009)

Learning Non-linear Dynamical Systems by Alignment of Local Linear Models. - Masao Joko; Yoshinobu Kawahara; Takehisa Yairi (ICPR, 2010)

Map building without localization by estimation of inter-feature distances. - Atsushi Ueta; Takehisa Yairi; Hirofumi Kanazaki; Kazuo Machida (Intell. Data Anal., 2010)

Coupled non-negative matrix factorization (CNMF) for hyperspectral and multispectral data fusion: Application to pasture classification. - Naoto Yokoya; Takehisa Yairi; Akira Iwasaki (IGARSS, 2011)

Mapping and localization by co-embedding of observation matrix. - Sho Nakamura; Takehisa Yairi (ROBIO, 2011)

Hyperspectral, multispectral, and panchromatic data fusion based on coupled non-negative matrix factorization. - Naoto Yokoya; Takehisa Yairi; Akira Iwasaki (WHISPERS, 2011)

Co-embedding of Structurally Missing Data by Locally Linear Alignment. - Takehisa Yairi (PAKDD (2), 2012)

Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion. - Naoto Yokoya; Takehisa Yairi; Akira Iwasaki (IEEE Trans. Geosci. Remote. Sens., 2012)

Quadrotor or blimp?: noise and appearance considerations in designing social aerial robot. - Chun Fui Liew; Takehisa Yairi (HRI, 2013)

A comparison study of feature spaces and classification methods for facial expression recognition. - Chun Fui Liew; Takehisa Yairi (ROBIO, 2013)

Fast estimation of asteroid shape and motion for spacecraft navigation. - Akira Tanimoto; Naoya Takeishi; Takehisa Yairi; Yuichi Tsuda; Fuyuto Terui; Naoko Ogawa; Yuya Mimasu (ROBIO, 2013)

Structured Denoising Autoencoder for Fault Detection and Analysis. - Takaaki Tagawa; Yukihiro Tadokoro; Takehisa Yairi (ACML, 2014)

Facial alignment by using sparse initialization and random forest. - Chun Fui Liew; Naoto Yokoya; Takehisa Yairi (ICIP, 2014)

Generalized BRIEF: A Novel Fast Feature Extraction Method for Robust Hand Detection. - Chun Fui Liew; Takehisa Yairi (ICPR, 2014)

Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction. - Mayu Sakurada; Takehisa Yairi (MLSDA@PRICAI, 2014)

Anomaly detection from multivariate time-series with sparse representation. - Naoya Takeishi; Takehisa Yairi (SMC, 2014)

Designing a compact hexacopter with gimballed lidar and powerful onboard Linux computer. - Chun Fui Liew; Takehisa Yairi (ICIA, 2015)

Simultaneous estimation of shape and motion of an asteroid for automatic navigation. - Naoya Takeishi; Takehisa Yairi; Yuichi Tsuda; Fuyuto Terui; Naoko Ogawa; Yuya Mimasu (ICRA, 2015)

Semantic classification of spacecraft's status: integrating system intelligence and human knowledge. - Mayu Sakurada; Takehisa Yairi; Yuta Nakajima; Naoki Nishimura; Devi Parikh (ICSC, 2015)

Facial Expression Recognition and Analysis: A Comparison Study of Feature Descriptors. - Chun Fui Liew; Takehisa Yairi (IPSJ Trans. Comput. Vis. Appl., 2015)

Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data. - Naoya Takeishi; Takehisa Yairi; Naoki Nishimura; Yuta Nakajima; Noboru Takata (PAKDD (2), 2016)

Robust Face Alignment with Random Forest: Analysis of Initialization, Landmarks Regression, and Shape Regularization Methods. - Chun Fui Liew; Takehisa Yairi (IEICE Trans. Inf. Syst., 2016)

An active beacon-based target localization method for Unmanned Aerial Vehicles with particle filter. - Shinya Fujita 002; Takehisa Yairi; Koichi Hori; Shuhei Komatsu (FUSION, 2017)

Sparse nonnegative dynamic mode decomposition. - Naoya Takeishi; Yoshinobu Kawahara; Takehisa Yairi (ICIP, 2017)

Bayesian Dynamic Mode Decomposition. - Naoya Takeishi; Yoshinobu Kawahara; Yasuo Tabei; Takehisa Yairi (IJCAI, 2017)

Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition. - Naoya Takeishi; Yoshinobu Kawahara; Takehisa Yairi (NIPS, 2017)

Recent Developments in Aerial Robotics: A Survey and Prototypes Overview. - Chun Fui Liew; Danielle DeLatte; Naoya Takeishi; Takehisa Yairi (CoRR, 2017)

Editorial: AI, Robotics, and Automation in Space. - Takashi Kubota; Kazuya Yoshida; Shinichi Kimura; Takehisa Yairi (J. Robotics Mechatronics, 2017)

Visual Monocular Localization, Mapping, and Motion Estimation of a Rotating Small Celestial Body. - Naoya Takeishi; Takehisa Yairi (J. Robotics Mechatronics, 2017)

A Data-Driven Health Monitoring Method for Satellite Housekeeping Data Based on Probabilistic Clustering and Dimensionality Reduction. - Takehisa Yairi; Naoya Takeishi; Tetsuo Oda; Yuta Nakajima; Naoki Nishimura; Noboru Takata (IEEE Trans. Aerosp. Electron. Syst., 2017)

Dynamic and Static Topic Model for Analyzing Time-Series Document Collections. - Rem Hida; Naoya Takeishi; Takehisa Yairi; Koichi Hori (ACL (2), 2018)

Factorially Switching Dynamic Mode Decomposition for Koopman Analysis of Time-Variant Systems. - Naoya Takeishi; Takehisa Yairi; Yoshinobu Kawahara (CDC, 2018)

Neural Gray-Box Identification of Nonlinear Partial Differential Equations. - Riku Sasaki; Naoya Takeishi; Takehisa Yairi; Koichi Hori (PRICAI (2), 2019)

Unsupervised anomaly detection in unmanned aerial vehicles. - Samir Khan; Chun Fui Liew; Takehisa Yairi; Richard McWilliam (Appl. Soft Comput., 2019)

Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars. - Danielle DeLatte; Sarah T. Crites; Nicholas Guttenberg; Elizabeth J. Tasker; Takehisa Yairi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Companion Unmanned Aerial Vehicles: A Survey. - Chun Fui Liew; Takehisa Yairi (CoRR, 2020)

Robustness of AI-based prognostic and systems health management. - Samir Khan; Seiji Tsutsumi; Takehisa Yairi; Shinichi Nakasuka (Annu. Rev. Control., 2021)

VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments. - Koji Minoda; Fabian Schilling; Valentin Wüest; Dario Floreano; Takehisa Yairi (IEEE Robotics Autom. Lett., 2021)

Low-Latency LiDAR Semantic Segmentation. - Takahiro Hori; Takehisa Yairi (IROS, 2022)

3D Human Pose Estimation in Weightless Environments Using a Fisheye Camera. - Koji Minoda; Takehisa Yairi (IROS, 2022)

Feature selection for quality prediction under distribution shift. - Wenyi Liu; Takehisa Yairi; Nana Tamai (SICE, 2022)

Nonstationary and Sparse Linear Regression for State Prediction of Artificial Systems. - Ryosuke Takayama; Takehisa Yairi; Nana Tamai (SICE, 2022)

Impact Analysis of Evaluation Task Setting on a Public Dataset for Rolling Bearing Diagnostics Using Deep Learning. - Osamu Yoshimatsu; Takehisa Yairi (SICE, 2022)

Human Language Explanation for a Decision Making Agent via Automated Rationale Generation. - Phong X. Nguyen; Tho H. Tran; Nguyen B. Pham; Dung N. Do; Takehisa Yairi (IEEE Access, 2022)

Residual reinforcement learning for logistics cart transportation. - Ryosuke Matsuo; Shinya Yasuda; Taichi Kumagai; Natsuhiko Sato; Hiroshi Yoshida; Takehisa Yairi (Adv. Robotics, 2022)

Mars Crater Segmentation Dataset. - Danielle DeLatte; Sarah T. Crites; Nicholas Guttenberg; Elizabeth J. Tasker; Takehisa Yairi (IEEE DataPort, 2022)

SeCAM: Tightly Accelerate the Image Explanation via Region-Based Segmentation. - Phong X. Nguyen; Hung Q. Cao; Khang V. T. Nguyen; Hung Nguyen; Takehisa Yairi (IEICE Trans. Inf. Syst., 2022)

A semi-supervised RUL prediction with likelihood-based pseudo labeling for suspension histories. - Ryosuke Takayama; Masanao Natsumeda; Takehisa Yairi (ICPHM, 2023)

Navigating the Metaverse: UAV-Based Cross-View Geo-Localization in Virtual Worlds. - Ryota Yagi; Takehisa Yairi; Akira Iwasaki (UAVM, 2023)

A Unifying View of Multivariate State Space Models for Soft Sensors in Industrial Processes. - Wenyi Liu; Takehisa Yairi (IEEE Access, 2024)

A review of physics-based learning for system health management. - Samir Khan; Takehisa Yairi; Seiji Tsutsumi; Shinichi Nakasuka (Annu. Rev. Control., 2024)

Feature Selection With Partial Autoencoding for Zero-Sample Fault Diagnosis. - Masanao Natsumeda; Takehisa Yairi (IEEE Trans. Ind. Informatics, 2024)

Graph-based meta-learning for context-aware sensor management in nonlinear safety-critical environments. - Christopher Aaron O'Hara; Takehisa Yairi (Adv. Robotics, 2024)

Consistent Pretext and Auxiliary Tasks With Relative Remaining Useful Life Estimation. - Masanao Natsumeda; Takehisa Yairi (IEEE Trans. Ind. Informatics, 2024)

Semi-supervised domain adaptation with auxiliary task learning for RUL prediction. - Gengyu Li; Takehisa Yairi (ICPHM, 2025)

Revealing Covert Attention by Analyzing Human and Reinforcement Learning Agent Gameplay. - Henrik Krauss; Takehisa Yairi (CoRR, 2025)

A Temporal Difference Method for Stochastic Continuous Dynamics. - Haruki Settai; Naoya Takeishi; Takehisa Yairi (CoRR, 2025)