Takatomi Kubo - RankMe

47 papers B 1C 1Misc 1Journal 21Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Variance control for black box variational inference using the James-Stein estimator. Artif. Life Robotics Dominic B. Dayta, Takatomi Kubo, Kazushi Ikeda
2024	J	`jnl`	Development of deep multi-animal tracking for domestic cats toward future application to social behavior analysis. Adv. Robotics Nina Nakajima, Hikari Koyasu, Yuki Maruno, Miho Nagasawa, Takefumi Kikusui, Takatomi Kubo
2024	J	`jnl`	Emotional studies in dogs and cats and their estimation techniques: an engineering perspective. Adv. Robotics Hikari Koyasu, Nanako Miyai, Takatomi Kubo, Saho Takagi, Yurina Wada, Yuki Maruno, Miho Nagasawa, Kazunori Ohno
2024	J	`jnl`	Heat illness detection with heart rate variability analysis and anomaly detection algorithm. Biomed. Signal Process. Control. Koichi Fujiwara, Koshi Ota, Shota Saeda, Toshitaka Yamakawa, Takatomi Kubo, Aozora Yamamoto, Yuki Maruno, Manabu Kano
2024	J	`jnl`	Special Issue on Advanced Technologies for Augmenting Canine-Human Communication. Adv. Robotics Kazunori Ohno, Miho Nagasawa, Takatomi Kubo, Koichi Fujiwara, Toshitaka Yamakawa, Miiamaaria V. Kujala
2023	J	`jnl`	Deep MAnTra: deep learning-based multi-animal tracking for Japanese macaques. Artif. Life Robotics Riza Rae Pineda, Takatomi Kubo, Masaki Shimada, Kazushi Ikeda
2023	J	`jnl`	Learning to mimic programmers gaze behavior for program comprehension improvement. Artif. Life Robotics Jeanne Barthélemy, Takatomi Kubo, Takeshi D. Itoh, Kiyoka Ikeda, Kazushi Ikeda
2023	J	`jnl`	Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems. Artif. Life Robotics Chie Hieida, Tomoaki Yamamoto, Takatomi Kubo, Junichiro Yoshimoto, Kazushi Ikeda
2023	C	`conf`	Will you use software development support using biosignals? A survey from software developers. SEKE Ryo Soga, Hideyuki Kanuka, Takatomi Kubo, Takashi Ishio, Kenichi Matsumoto
2022	J	`jnl`	Compositionality-Aware Graph2Seq Learning. CoRR Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
2022	J	`jnl`	Electrocardiogram Measurement and Emotion Estimation of Working Dogs. IEEE Robotics Autom. Lett. Kazunori Ohno, Kotaro Sato, Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Miho Nagasawa, Takefumi Kikusui, Sandeep Kumar Nayak, Shotaro Kojima, Satoshi Tadokoro
2022	J	`jnl`	Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities. Neural Networks Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
2021	—	`conf`	Evaluation of the Effect of Transfer Learning to Multi-Instance Detection of Monkeys. APSIPA ASC Riza Rae Pineda, Takatomi Kubo, Masaki Shimada, Kazushi Ikeda
2021	J	`jnl`	Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities. CoRR Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
2021	—	`conf`	Preliminary Study Using Autoencoder for Early Detection of Heat Illness from Heart Rate Variability Obtained with Wearable Device. APSIPA ASC Nao Inatsu, Aoi Noguchi, Koshi Ota, Koichi Fujiwara, Takatomi Kubo, Toshitaka Yamakawa
2020	—	`conf`	Discovery of Event-Related Potentials during a Cognitive Process of Comparison Operation. APSIPA Keisuke Murai, Hidetake Uwano, Yoshiharu Ikutani, Takatomi Kubo
2020	B	`conf`	Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene. SMC 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
2020	J	`jnl`	Extraction of Hierarchical Behavior Patterns Using a Non-parametric Bayesian Approach. Frontiers Comput. Sci. Jeric Briones, Takatomi Kubo, Kazushi Ikeda
2020	—	`conf`	Feasibility of focal brain cooling for partial epilepsy with secondary generalization: A computational study EMBC Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
2019	J	`jnl`	A Hierarchical Mixture Density Network. CoRR Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
2019	—	`ch.`	Cyber-Enhanced Rescue Canine. Disaster Robotics Kazunori Ohno, Ryunosuke Hamada, Tatsuya Hoshi, Hiroyuki Nishinoma, Shumpei Yamaguchi, Solvi Arnold, Kimitoshi Yamazaki, Takefumi Kikusui, Satoko Matsubara, Miho Nagasawa, Takatomi Kubo, Eri Nakahara, Yuki Maruno, Kazushi Ikeda, Toshitaka Yamakawa, Takeshi Tokuyama, Ayumi Shinohara, Ryo Yoshinaka, Diptarama Hendrian, Kaizaburo Chubachi, Satoshi Kobayashi, Katsuhito Nakashima, Hiroaki Naganuma, Ryu Wakimoto, Shu Ishikawa, Tatsuki Miura, Satoshi Tadokoro
2019	—	`conf`	Interaction Analysis in Hunting Behavior of Finless Porpoises. APSIPA Mikiko Konda, Takatomi Kubo, Naruki Morimura, Kazushi Ikeda
2019	J	`jnl`	Toward Imitating Visual Attention of Experts in Software Development Tasks. CoRR Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata, Takatomi Kubo, Kenichi Matsumoto
2019	—	`conf`	Toward imitating visual attention of experts in software development tasks. EMIP@ICSE Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata, Takatomi Kubo, Kenichi Matsumoto
2019	—	`conf`	Towards Generation of Visual Attention Map for Source Code. APSIPA Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
2019	J	`jnl`	Towards Generation of Visual Attention Map for Source Code. CoRR Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
2018	—	`conf`	Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure. ITSC Kazushi Ikeda, Takatomi Kubo, Hiroaki Sasaki, Masataka Mori, Kentarou Hitomi, Kazuhito Takenaka, Kenji Muto
2017	—	`conf`	A Hierarchical Mixture Density Network. ICONIP (4) Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
2017	—	`conf`	Application of SsVGMM to medical data - classification with novelty detection. EMBC Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
2017	J	`jnl`	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. Jaymar Soriano, Takatomi Kubo, Takao Inoue, Hiroyuki Kida, Toshitaka Yamakawa, Michiyasu Suzuki, Kazushi Ikeda
2017	—	`conf`	Real-time emotional state estimation system for Canines based on heart rate variability. CBS Ryunosuke Hamada, Kazunori Ohno, Satoko Matsubara, Tatsuya Hoshi, Miho Nagasawa, Takefumi Kikusui, Takatomi Kubo, Eri Nakahara, Kazushi Ikeda, Shumpei Yamaguchi, Toshitaka Yamakawa, Satoshi Tadokoro
2017	J	`jnl`	Roles of pre-training in deep neural networks from information theoretical perspective. Neurocomputing Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda
2016	—	`conf`	Canine emotional states assessment with heart rate variability. APSIPA Eri Nakahara, Yuki Maruno, Takatomi Kubo, Rina Ouchi, Maki Katayama, Koichi Fujiwara, Miho Nagasawa, Takefumi Kikusui, Kazushi Ikeda
2016	J	`jnl`	Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method With AR Models. IEEE Trans. Intell. Veh. Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Kentarou Hitomi, Masumi Egawa
2016	—	`conf`	Steering behavior model of drivers on driving simulator through visual information. APSIPA Tomohito Suzaki, Takatomi Kubo, Toshihiro Hiraoka, Yuto Nakagawa, Tetsuya Terada, Toru Yoshioka, Kazushi Ikeda
2015	—	`conf`	Effective napping support system by hypnagogic time estimation based on heart rate sensor. AH Daichi Nagata, Yutaka Arakawa, Takatomi Kubo, Keiichi Yasumoto
2015	—	`conf`	Information Theoretical Analysis of Deep Learning Representations. ICONIP (1) Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda
2015	J	`jnl`	Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. IEEE Trans. Neural Networks Learn. Syst. Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda
2014	—	`conf`	Birdsong analysis using beta process hidden Markov model. MLSP Ryunosuke Hamada, Takatomi Kubo, Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Kazushi Ikeda
2014	—	`conf`	Prediction of driving behaviors in intersections based on a supervised dimension reduction considering locality. ITSC Takatomi Kubo, Ryunosuke Hamada, Zujie Zhang, Kazushi Ikeda, Takashi Bando, Kentarou Hitomi, Masumi Egawa
2014	J	`jnl`	Towards excluding redundancy in electrode grid for automatic speech recognition based on surface EMG. Neurocomputing Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda
2013	—	`conf`	A comparative study of time series modeling for driving behavior towards prediction. APSIPA Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Takashi Bando, Masumi Egawa
2013	—	`conf`	Applying Bayesian nonparametrics to non-homogeneous driving operation data towards prediction. EUSIPCO Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Masumi Egawa
2013	—	`conf`	Shift invariant feature extraction for sEMG-based speech recognition with electrode grid. EMBC Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda
2013	Misc	`conf`	Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM. ICASSP Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Masumi Egawa
2013	—	`conf`	Visual fixation patterns of artists and novices in abstract painting observations. APSIPA Naoko Koide, Takatomi Kubo, Tomohiro Shibata, Kazushi Ikeda
2011	—	`conf`	Feature Selection for Vowel Recognition Based on Surface Electromyography Derived with Multichannel Electrode Grid. IScIDE Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda