Takuya Wada - researchr alias

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Viewing Publication 1 - 18 from 18

2023

Extraction of Important Factors in a High-Dimensional Data Space: An Application for High-Growth FirmsTakuya Wada, Hideki Takayasu, Misako Takayasu. entropy, 25(3):488, March 2023. [doi]

2022

Adaptation of a Small Robot for Paddy Fields to the Water Depth Change Using Variable LegsKentaro Kameyama, Takuya Wada. jrm, 34(1):159-166, 2022. [doi]

IoT platform using information flow to reduce load on cloudTakafumi Sakai, Kenshin Hata, Takuya Wada, Katsuhiro Naito. compsac 2022: 1211-1216 [doi]

Proposal of an edge device framework for abstracting sensor and camera devicesTakuya Wada, Katsuhiro Naito. gcce 2022: 228-231 [doi]

2020

Learner Model of Knowledge Grounding in Discovery LearningTakuya Wada, Yuki Hayashi, Kazuhisa Seta, Tomoko Kojiri. ICCE 2020: [doi]

Regression and independence based variable importance measureXinmin Zhang, Takuya Wada, Koichi Fujiwara, Manabu Kano. cce, 135:106757, 2020. [doi]

2019

Externalization Support for Hypotheses Creation Process of Discovery Learning in BiologyTakuya Wada, Toya Otagaki, Tomoko Kojiri. ICCE 2019: [doi]

2018

2017

Dialogue System for Fostering Way of Thinking Based on Physical Theory in DynamicsTakuya Wada, Tomoko Kojiri. kes 2017: 1974-1983 [doi]

2016

Prototype Implementation of Actuator Sensor Network for Agricultural UsagesTakuya Wada, Katsuhiro Naito. iimss 2016: 227-239 [doi]

2013

Evacuation Guidance System Using Everyday Use SmartphonesTakuya Wada, Tomoichi Takahashi. sitis 2013: 860-864 [doi]

2006

English Oblique Listening System - Rapid Listening System for the Blind and Visually Impaired, and Its EvaluationShinichi Torihara, Miyoko Nakamura, Nami Ueda, Takuya Wada, Shun Ishizaki. icchp 2006: 53-60 [doi]

2004

Adaptive Ripple Down Rules method based on minimum description length principleTetsuya Yoshida, Takuya Wada, Hiroshi Motoda, Takashi Washio. ida, 8(3):239-265, 2004. [doi]

2002

Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and DataTakuya Wada, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio. pricai 2002: 218-227 [doi]

2001

Knowledge Acquisition from Both Human Expert and DataTakuya Wada, Hiroshi Motoda, Takashi Washio. pakdd 2001: 550-561 [doi]

A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules MethodTakuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio. kais, 3(2):146-167, 2001. [doi]

1999

Characterization of Default Knowledge in Ripple Down Rules MethodTakuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio. pakdd 1999: 284-295 [doi]

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