Characterization of Default Knowledge in Ripple Down Rules Method. - Takuya Wada; Tadashi Horiuchi; Hiroshi Motoda; Takashi Washio (PAKDD, 1999)

Knowledge Acquisition from Both Human Expert and Data. - Takuya Wada; Hiroshi Motoda; Takashi Washio (PAKDD, 2001)

A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method. - Takuya Wada; Tadashi Horiuchi; Hiroshi Motoda; Takashi Washio (Knowl. Inf. Syst., 2001)

Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data. - Takuya Wada; Tetsuya Yoshida; Hiroshi Motoda; Takashi Washio (PRICAI, 2002)

Adaptive Ripple Down Rules method based on minimum description length principle. - Tetsuya Yoshida; Takuya Wada; Hiroshi Motoda; Takashi Washio (Intell. Data Anal., 2004)

English "Oblique" Listening System - Rapid Listening System for the Blind and Visually Impaired, and Its Evaluation. - Shinichi Torihara; Miyoko Nakamura; Nami Ueda; Takuya Wada; Shun Ishizaki (ICCHP, 2006)

Evacuation Guidance System Using Everyday Use Smartphones. - Takuya Wada; Tomoichi Takahashi (SITIS, 2013)

Prototype Implementation of Actuator Sensor Network for Agricultural Usages. - Takuya Wada; Katsuhiro Naito (IIMSS, 2016)

Dialogue System for Fostering Way of Thinking Based on Physical Theory in Dynamics. - Takuya Wada; Tomoko Kojiri (KES, 2017)

A back-illuminated global-shutter CMOS image sensor with pixel-parallel 14b subthreshold ADC. - Masaki Sakakibara; Koji Ogawa; Shin Sakai; Yasuhisa Tochigi; Katsumi Honda; Hidekazu Kikuchi; Takuya Wada; Yasunobu Kamikubo; Tsukasa Miura; Masahiko Nakamizo; Naoki Jyo; Ryo Hayashibara; et al. (ISSCC, 2018)

A 6.9-µm Pixel-Pitch Back-Illuminated Global Shutter CMOS Image Sensor With Pixel-Parallel 14-Bit Subthreshold ADC. - Masaki Sakakibara; Koji Ogawa; Shin Sakai; Yasuhisa Tochigi; Katsumi Honda; Hidekazu Kikuchi; Takuya Wada; Yasunobu Kamikubo; Tsukasa Miura; Masahiko Nakamizo; Naoki Jyo; Ryo Hayashibara; et al. (IEEE J. Solid State Circuits, 2018)

Externalization Support for Hypotheses Creation Process of Discovery Learning in Biology. - Takuya Wada; Toya Otagaki; Tomoko Kojiri (ICCE, 2019)

Extension of Sinkhorn Method: Optimal Movement Estimation of Agents Moving at Constant Velocity. - Daigo Okada; Naotoshi Nakamura; Takuya Wada; Ayako Iwasaki; Ryo Yamada (CoRR, 2019)

Learner Model of Knowledge Grounding in Discovery Learning. - Takuya Wada; Yuki Hayashi; Kazuhisa Seta; Tomoko Kojiri (ICCE, 2020)

Regression and independence based variable importance measure. - Xinmin Zhang; Takuya Wada; Koichi Fujiwara; Manabu Kano (Comput. Chem. Eng., 2020)

IoT platform using information flow to reduce load on cloud. - Takafumi Sakai; Kenshin Hata; Takuya Wada; Katsuhiro Naito (COMPSAC, 2022)

Proposal of an edge device framework for abstracting sensor and camera devices. - Takuya Wada; Katsuhiro Naito (GCCE, 2022)

Adaptation of a Small Robot for Paddy Fields to the Water Depth Change Using Variable Legs. - Kentaro Kameyama; Takuya Wada (J. Robotics Mechatronics, 2022)

Extraction of Important Factors in a High-Dimensional Data Space: An Application for High-Growth Firms. - Takuya Wada; Hideki Takayasu; Misako Takayasu (Entropy, 2023)