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Takatomi Kubo
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2020 – today
- 2024
- [j15]Kazunori Ohno
, Miho Nagasawa
Special Issue on Advanced Technologies for Augmenting Canine-Human Communication. Adv. Robotics 38(14): 907 (2024) - [j14]Hikari Koyasu
Emotional studies in dogs and cats and their estimation techniques: an engineering perspective. Adv. Robotics 38(14): 908-925 (2024) - [j13]Nina Nakajima, Hikari Koyasu
Development of deep multi-animal tracking for domestic cats toward future application to social behavior analysis. Adv. Robotics 38(14): 958-966 (2024) - [j12]Koichi Fujiwara
Heat illness detection with heart rate variability analysis and anomaly detection algorithm. Biomed. Signal Process. Control. 87(Part A): 105520 (2024) - 2023
- [j11]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): 127-138 (2023) - [j10]Jeanne Barthélemy
Learning to mimic programmers gaze behavior for program comprehension improvement. Artif. Life Robotics 28(2): 295-306 (2023) - [j9]Chie Hieida
Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems. Artif. Life Robotics 28(2): 388-393 (2023) - [c25]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: 31-36 - 2022
- [j8]Takeshi D. Itoh
Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities. Neural Networks 145: 356-373 (2022) - [j7]Kazunori Ohno
Electrocardiogram Measurement and Emotion Estimation of Working Dogs. IEEE Robotics Autom. Lett. 7(2): 4047-4054 (2022) - [i5]Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda:
Compositionality-Aware Graph2Seq Learning. CoRR abs/2201.12178 (2022) - 2021
- [c24]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: 1348-1352 - [c23]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: 1357-1362 - [i4]Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda:
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities. CoRR abs/2103.01488 (2021) - 2020
- [j6]Jeric Briones
Extraction of Hierarchical Behavior Patterns Using a Non-parametric Bayesian Approach. Frontiers Comput. Sci. 2: 546917 (2020) - [c22]Keisuke Murai, Hidetake Uwano, Yoshiharu Ikutani, Takatomi Kubo:
Discovery of Event-Related Potentials during a Cognitive Process of Comparison Operation. APSIPA 2020: 1017-1022 - [c21]Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda:
Feasibility of focal brain cooling for partial epilepsy with secondary generalization: A computational study*. EMBC 2020: 2532-2535 - [c20]Felan Carlo C. Garcia, Takatomi Kubo, Chao-Ling Chang, Masafumi Hisada, Takashi Bando, Midori Kato, Masataka Mori, Kazuhito Takenaka, Toshitaka Yamakawa, Koichi Fujiwara
Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene. SMC 2020: 3454-3459
2010 – 2019
- 2019
- [c19]Mikiko Konda, Takatomi Kubo, Naruki Morimura, Kazushi Ikeda:
Interaction Analysis in Hunting Behavior of Finless Porpoises. APSIPA 2019: 727-730 - [c18]Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata
Towards Generation of Visual Attention Map for Source Code. APSIPA 2019: 951-954 - [c17]Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata
Toward imitating visual attention of experts in software development tasks. EMIP@ICSE 2019: 33-36 - [p1]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
Cyber-Enhanced Rescue Canine. Disaster Robotics 2019: 143-193 - [i3]Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata, Takatomi Kubo, Kenichi Matsumoto:
Toward Imitating Visual Attention of Experts in Software Development Tasks. CoRR abs/1903.06320 (2019) - [i2]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 abs/1907.06182 (2019) - [i1]Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda:
A Hierarchical Mixture Density Network. CoRR abs/1910.13523 (2019) - 2018
- [c16]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: 2064-2067 - 2017
- [j5]Yasutaka Furusho, Takatomi Kubo
Roles of pre-training in deep neural networks from information theoretical perspective. Neurocomputing 248: 76-79 (2017) - [j4]Jaymar Soriano
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) - [c15]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: 298-303 - [c14]Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda:
Application of SsVGMM to medical data - classification with novelty detection. EMBC 2017: 3098-3101 - [c13]Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda:
A Hierarchical Mixture Density Network. ICONIP (4) 2017: 878-885 - 2016
- [j3]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): 131-138 (2016) - [c12]Eri Nakahara, Yuki Maruno, Takatomi Kubo, Rina Ouchi, Maki Katayama, Koichi Fujiwara
Canine emotional states assessment with heart rate variability. APSIPA 2016: 1-3 - [c11]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: 1-4 - 2015
- [j2]Takuya Konishi, Takatomi Kubo, Kazuho Watanabe
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2176-2181 (2015) - [c10]Daichi Nagata, Yutaka Arakawa
Effective napping support system by hypnagogic time estimation based on heart rate sensor. AH 2015: 201-202 - [c9]Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda:
Information Theoretical Analysis of Deep Learning Representations. ICONIP (1) 2015: 599-605 - 2014
- [j1]Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda:
Towards excluding redundancy in electrode grid for automatic speech recognition based on surface EMG. Neurocomputing 134: 15-19 (2014) - [c8]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: 1487-1489 - [c7]Ryunosuke Hamada, Takatomi Kubo, Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Kazushi Ikeda:
Birdsong analysis using beta process hidden Markov model. MLSP 2014: 1-5 - 2013
- [c6]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: 1-4 - [c5]Naoko Koide, Takatomi Kubo, Tomohiro Shibata
Visual fixation patterns of artists and novices in abstract painting observations. APSIPA 2013: 1-4 - [c4]Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda:
Shift invariant feature extraction for sEMG-based speech recognition with electrode grid. EMBC 2013: 5797-5800 - [c3]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: 1-5 - [c2]Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata
Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM. ICASSP 2013: 2805-2809 - 2011
- [c1]Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda
Feature Selection for Vowel Recognition Based on Surface Electromyography Derived with Multichannel Electrode Grid. IScIDE 2011: 242-249
Coauthor Index
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