Takatomi Kubo

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 36

Top Topics

Visual Attention

Driving Behavior

Software Development

Top Venues

Artif. Life Robotics

Publications

Kazunori Ohno, Miho Nagasawa, Takatomi Kubo, Koichi Fujiwara, Toshitaka Yamakawa, Miiamaaria V. Kujala
Special Issue on Advanced Technologies for Augmenting Canine-Human Communication. Adv. Robotics 38 (14) (2024)
Nina Nakajima, Hikari Koyasu, Yuki Maruno, Miho Nagasawa, Takefumi Kikusui, Takatomi Kubo
Development of deep multi-animal tracking for domestic cats toward future application to social behavior analysis. Adv. Robotics 38 (14) (2024)
Hikari Koyasu, Nanako Miyai, Takatomi Kubo, Saho Takagi, Yurina Wada, Yuki Maruno, Miho Nagasawa, Kazunori Ohno
Emotional studies in dogs and cats and their estimation techniques: an engineering perspective. Adv. Robotics 38 (14) (2024)
Koichi Fujiwara, Koshi Ota, Shota Saeda, Toshitaka Yamakawa, Takatomi Kubo, Aozora Yamamoto, Yuki Maruno, Manabu Kano
Heat illness detection with heart rate variability analysis and anomaly detection algorithm. Biomed. Signal Process. Control. 87 (Part A) (2024)
Ryo Soga, Hideyuki Kanuka, Takatomi Kubo, Takashi Ishio, Kenichi Matsumoto
Will you use software development support using biosignals? A survey from software developers. SEKE (2023)
Riza Rae Pineda, Takatomi Kubo, Masaki Shimada, Kazushi Ikeda
Deep MAnTra: deep learning-based multi-animal tracking for Japanese macaques. Artif. Life Robotics 28 (1) (2023)
Jeanne Barthélemy, Takatomi Kubo, Takeshi D. Itoh, Kiyoka Ikeda, Kazushi Ikeda
Learning to mimic programmers gaze behavior for program comprehension improvement. Artif. Life Robotics 28 (2) (2023)
Chie Hieida, Tomoaki Yamamoto, Takatomi Kubo, Junichiro Yoshimoto, Kazushi Ikeda
Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems. Artif. Life Robotics 28 (2) (2023)
Kazunori Ohno, Kotaro Sato, Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Miho Nagasawa, Takefumi Kikusui, Sandeep Kumar Nayak, Shotaro Kojima, Satoshi Tadokoro
Electrocardiogram Measurement and Emotion Estimation of Working Dogs. IEEE Robotics Autom. Lett. 7 (2) (2022)
Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities. Neural Networks 145 (2022)
Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
Compositionality-Aware Graph2Seq Learning. CoRR (2022)
Riza Rae Pineda, Takatomi Kubo, Masaki Shimada, Kazushi Ikeda
Evaluation of the Effect of Transfer Learning to Multi-Instance Detection of Monkeys. APSIPA ASC (2021)
Nao Inatsu, Aoi Noguchi, Koshi Ota, Koichi Fujiwara, Takatomi Kubo, Toshitaka Yamakawa
Preliminary Study Using Autoencoder for Early Detection of Heat Illness from Heart Rate Variability Obtained with Wearable Device. APSIPA ASC (2021)
Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities. CoRR (2021)
Jeric Briones, Takatomi Kubo, Kazushi Ikeda
Extraction of Hierarchical Behavior Patterns Using a Non-parametric Bayesian Approach. Frontiers Comput. Sci. 2 (2020)
Felan Carlo C. Garcia, Takatomi Kubo, Chao-Ling Chang, Masafumi Hisada, Takashi Bando, Midori Kato, Masataka Mori, Kazuhito Takenaka, Toshitaka Yamakawa, Koichi Fujiwara, Kazushi Ikeda
Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene. SMC (2020)
Keisuke Murai, Hidetake Uwano, Yoshiharu Ikutani, Takatomi Kubo
Discovery of Event-Related Potentials during a Cognitive Process of Comparison Operation. APSIPA (2020)
Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
. EMBC (2020)
Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
Towards Generation of Visual Attention Map for Source Code. CoRR (2019)
Mikiko Konda, Takatomi Kubo, Naruki Morimura, Kazushi Ikeda
Interaction Analysis in Hunting Behavior of Finless Porpoises. APSIPA (2019)
Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
A Hierarchical Mixture Density Network. CoRR (2019)
Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
Towards Generation of Visual Attention Map for Source Code. APSIPA (2019)
Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata, Takatomi Kubo, Kenichi Matsumoto
Toward imitating visual attention of experts in software development tasks. EMIP@ICSE (2019)
Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata, Takatomi Kubo, Kenichi Matsumoto
Toward Imitating Visual Attention of Experts in Software Development Tasks. CoRR (2019)
Kazushi Ikeda, Takatomi Kubo, Hiroaki Sasaki, Masataka Mori, Kentarou Hitomi, Kazuhito Takenaka, Kenji Muto
Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure. ITSC (2018)
Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
Application of SsVGMM to medical data - classification with novelty detection. EMBC (2017)
Jaymar Soriano, Takatomi Kubo, Takao Inoue, Hiroyuki Kida, Toshitaka Yamakawa, Michiyasu Suzuki, Kazushi Ikeda
Differential temperature sensitivity of synaptic and firing processes in a neural mass model of epileptic discharges explains heterogeneous response of experimental epilepsy to focal brain cooling. PLoS Comput. Biol. 13 (10) (2017)
Ryunosuke Hamada, Kazunori Ohno, Satoko Matsubara, Tatsuya Hoshi, Miho Nagasawa, Takefumi Kikusui, Takatomi Kubo, Eri Nakahara, Kazushi Ikeda, Shumpei Yamaguchi, Toshitaka Yamakawa, Satoshi Tadokoro
Real-time emotional state estimation system for Canines based on heart rate variability. CBS (2017)
Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
A Hierarchical Mixture Density Network. ICONIP (4) (2017)
Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda
Roles of pre-training in deep neural networks from information theoretical perspective. Neurocomputing 248 (2017)
Tomohito Suzaki, Takatomi Kubo, Toshihiro Hiraoka, Yuto Nakagawa, Tetsuya Terada, Toru Yoshioka, Kazushi Ikeda
Steering behavior model of drivers on driving simulator through visual information. APSIPA (2016)
Eri Nakahara, Yuki Maruno, Takatomi Kubo, Rina Ouchi, Maki Katayama, Koichi Fujiwara, Miho Nagasawa, Takefumi Kikusui, Kazushi Ikeda
Canine emotional states assessment with heart rate variability. APSIPA (2016)
Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Kentarou Hitomi, Masumi Egawa
Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method With AR Models. IEEE Trans. Intell. Veh. 1 (2) (2016)
Daichi Nagata, Yutaka Arakawa, Takatomi Kubo, Keiichi Yasumoto
Effective napping support system by hypnagogic time estimation based on heart rate sensor. AH (2015)
Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda
Information Theoretical Analysis of Deep Learning Representations. ICONIP (1) (2015)
Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda
Towards excluding redundancy in electrode grid for automatic speech recognition based on surface EMG. Neurocomputing 134 (2014)
Ryunosuke Hamada, Takatomi Kubo, Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Kazushi Ikeda
Birdsong analysis using beta process hidden Markov model. MLSP (2014)
Takatomi Kubo, Ryunosuke Hamada, Zujie Zhang, Kazushi Ikeda, Takashi Bando, Kentarou Hitomi, Masumi Egawa
Prediction of driving behaviors in intersections based on a supervised dimension reduction considering locality. ITSC (2014)
Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Takashi Bando, Masumi Egawa
A comparative study of time series modeling for driving behavior towards prediction. APSIPA (2013)
Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda
Shift invariant feature extraction for sEMG-based speech recognition with electrode grid. EMBC (2013)
Naoko Koide, Takatomi Kubo, Tomohiro Shibata, Kazushi Ikeda
Visual fixation patterns of artists and novices in abstract painting observations. APSIPA (2013)
Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Masumi Egawa
Applying Bayesian nonparametrics to non-homogeneous driving operation data towards prediction. EUSIPCO (2013)
Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Masumi Egawa
Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM. ICASSP (2013)
Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda
Feature Selection for Vowel Recognition Based on Surface Electromyography Derived with Multichannel Electrode Grid. IScIDE (2011)