Takatomi Kubo

Orcid: 0000-0003-0192-7177

According to our database1, Takatomi Kubo authored at least 42 papers between 2011 and 2024.

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Bibliography

2024
Special Issue on Advanced Technologies for Augmenting Canine-Human Communication.
Adv. Robotics, July, 2024

Development of deep multi-animal tracking for domestic cats toward future application to social behavior analysis.
Adv. Robotics, July, 2024

Emotional studies in dogs and cats and their estimation techniques: an engineering perspective.
Adv. Robotics, July, 2024

Heat illness detection with heart rate variability analysis and anomaly detection algorithm.
Biomed. Signal Process. Control., January, 2024

2023
Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems.
Artif. Life Robotics, May, 2023

Learning to mimic programmers gaze behavior for program comprehension improvement.
Artif. Life Robotics, May, 2023

Deep MAnTra: deep learning-based multi-animal tracking for Japanese macaques.
Artif. Life Robotics, February, 2023

Will you use software development support using biosignals? A survey from software developers.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

2022
Electrocardiogram Measurement and Emotion Estimation of Working Dogs.
IEEE Robotics Autom. Lett., 2022

Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities.
Neural Networks, 2022

Compositionality-Aware Graph2Seq Learning.
CoRR, 2022

2021
Evaluation of the Effect of Transfer Learning to Multi-Instance Detection of Monkeys.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Preliminary Study Using Autoencoder for Early Detection of Heat Illness from Heart Rate Variability Obtained with Wearable Device.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Extraction of Hierarchical Behavior Patterns Using a Non-parametric Bayesian Approach.
Frontiers Comput. Sci., 2020

Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Feasibility of focal brain cooling for partial epilepsy with secondary generalization: A computational study<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Discovery of Event-Related Potentials during a Cognitive Process of Comparison Operation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Toward imitating visual attention of experts in software development tasks.
Proceedings of the 6th International Workshop on Eye Movements in Programming, 2019

Interaction Analysis in Hunting Behavior of Finless Porpoises.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Towards Generation of Visual Attention Map for Source Code.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
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., 2017

Roles of pre-training in deep neural networks from information theoretical perspective.
Neurocomputing, 2017

A Hierarchical Mixture Density Network.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Application of SsVGMM to medical data - classification with novelty detection.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Real-time emotional state estimation system for Canines based on heart rate variability.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2017

2016
Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method With AR Models.
IEEE Trans. Intell. Veh., 2016

Steering behavior model of drivers on driving simulator through visual information.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

Canine emotional states assessment with heart rate variability.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data.
IEEE Trans. Neural Networks Learn. Syst., 2015

Information Theoretical Analysis of Deep Learning Representations.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Effective napping support system by hypnagogic time estimation based on heart rate sensor.
Proceedings of the 6th Augmented Human International Conference, 2015

2014
Towards excluding redundancy in electrode grid for automatic speech recognition based on surface EMG.
Neurocomputing, 2014

Birdsong analysis using beta process hidden Markov model.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Prediction of driving behaviors in intersections based on a supervised dimension reduction considering locality.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM.
Proceedings of the IEEE International Conference on Acoustics, 2013

Applying Bayesian nonparametrics to non-homogeneous driving operation data towards prediction.
Proceedings of the 21st European Signal Processing Conference, 2013

Shift invariant feature extraction for sEMG-based speech recognition with electrode grid.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Visual fixation patterns of artists and novices in abstract painting observations.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

A comparative study of time series modeling for driving behavior towards prediction.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2011
Feature Selection for Vowel Recognition Based on Surface Electromyography Derived with Multichannel Electrode Grid.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011


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