TEZUKA Taro
- Articles
- Fashion dressing match and recommendation by a graph neural network
Guan Fengming; 手塚 太郎
第12回データ工学と情報マネジメントに関するフォーラム予稿集, 2020-03 - 意味構造に着目したシーングラフ生成手法の提案
嵐一樹; 手塚 太郎
第12回データ工学と情報マネジメントに関するフォーラム予稿集, 2020-03 - Encoder-Decoder DKTモデルによるeラーニング推薦システム
潘秋実; 冨平準喜; 手塚 太郎
WebDB Forum 2019, 2019-09 - Feature analysis for predicting students' performance from reading patterns in an e-learning system
Kikuchi Shohei; Tezuka Taro
Proceedings of the 5th ICCE Workshop on Learning Analytics (LA) & Joint Activity on Predicting Student Performance, 2018-11 - Pattern recognition for tennis tactics using Hidden Markov Model from rally series
Miyahara Natsuki; Tezuka Taro; Nakauchi Yasushi
Proceedings of 2019 IEEE/SICE International Symposium on System Integration, 2019-01 - An AI game player trained by a genetic algorithm that avoids bombardments in a shooting game
滑川 静海; 手塚 太郎
Proc. of JSAI/2018/pp.3Pin134-3Pin134, 2018-07 - Pattern Recognition for Tennis Tactics using Hidden Markov Model from Rally Series
宮原 捺希; 手塚 太郎; 中内 靖
Proc. of JSAI/2018/pp.2H201-2H201, 2018-07 - メタヒューリティクスによる強化学習のパラメータの最適化
安政 駿; 手塚 太郎
Proc. of JSAI/2014/pp.2H13in-2H13in, 2014 - Multineuron spike train analysis with R-convolution linear combination kernel
Tezuka Taro
Neural networks : the official journal of the International Neural Network Society/102/pp.67-77, 2018-06 - Classification of Lung Nodules Using Deep Learning
川尻 智樹; 手塚 太郎
Transactions of Japanese Society for Medical and Biological Engineering/55(3)/pp.161-161, 2017 - KERNEL ANALYSIS FOR ESTIMATING THE CONNECTIVITY OF A NETWORK WITH EVENT SEQUENCES
Tezuka Taro; Claramunt Christophe
JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH/7(1)/pp.17-31, 2017-01 - 辞書学習によるビッグデータからのパターン発見
手塚 太郎
CICSJ Bulletin/32(4)/p.76, 2014 - Posture measurements for estimating the behavior of students during e-learning
手塚 太郎; 清野 悠希; 古谷 遼平; 佐藤 哲司
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics/28(6)/pp.952-962, 2016 - Implementation of Deep Neural Network on Image Classification
ZHONG Rui; TEZUKA Taro
電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習/114(105)/pp.33-39, 2014-06 - A dictionary learning algorithm for sparse coding by the normalized bilateral projections
手塚 太郎
Proceedings of the 24th IEEE International Workshop on Machine Learning for Signal Processing, 2014-09 - The effect of music on the level of mental concentration and its temporal change
Fumiya Mori; Fatemeh Azadi Naghsh; 手塚 太郎
Proceedings of the 6th International Conference on Computer Supported Education, 2014-04 - SPIKE TRAIN KERNELS FOR MULTIPLE NEURON RECORDINGS
Tezuka Taro
2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014-05 - Implementation of Deep Neural Network on Image Classification
Rui Zhong; Taro Tezuka
IPSJ SIG Notes/2014(7)/pp.1-7, 2014-06 - Visualization of relationships among historical persons from Japanese historical documents
Kimura Fuminori; Osaki Takahiko; Tezuka Taro; Maeda A...
LITERARY AND LINGUISTIC COMPUTING/28(2:::SI)/pp.271-278, 2013-06 - Audio Lifelog Search System Using a Topic Model for Reducing Recognition Errors
Taro Tezuka; Akira Maeda
Proceedings of the 16th International Conference on Database Systems for Advanced Applications (DASFAA 2011)/p.73-82, 2011-04 - Visualization of Co-occurrence Relationships Using the Historical Persons and Locational Names from Historical Documents
Sho Itsubo; Takahiko Osaki; Fuminori Kimura; Taro Tezuka...
Digital Humanities 2011, 2011-06 - Innovation Creation Support by Analogy-based Searching of Potential Needs
Takayuki Suzuki; Taro Tezuka; Atsushi Aoyama; Fuminori K...
Proceedings of the 5th IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2011), 2011-12 - Structural and Semantic Indexing for Supporting Creation of Multilingual Web Pages
Hiroshi Urae; Taro Tezuka; Fuminori Kimura; and Akira Maeda
Proceedings of the International MultiConference of Engineers and Computer Scientists 2012 (IMECS2012)/p.662-667, 2012-03 - Estimating Aspects in Online Reviews Using Topic Model with 2-Level Learning
Takuya Konishi; Taro Tezuka; Fuminori Kimura; and Akira ...
Proceedings of the International MultiConference of Engineers and Computer Scientists 2012 (IMECS2012)/p.528-533, 2012-03
- Fashion dressing match and recommendation by a graph neural network