Noboru Yoshida

According to our database, Noboru Yoshida authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A consulting system for guiding various image recognitions.

Ryo Kawai, Noboru Yoshida, Jianquan Liu

Proceedings of the ACM Multimedia Asia 2023, 2023

2022

Epileptic Spike Detection Using Neural Networks With Linear-Phase Convolutions.

Kosuke Fukumori, Noboru Yoshida, Hidenori Sugano, Madoka Nakajima, Toshihisa Tanaka

IEEE J. Biomed. Health Informatics, 2022

Action Detection System Based on Pose Information.

Ryo Kawai, Noboru Yoshida, Jianquan Liu

Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022

Epileptic Spike Detection by Recurrent Neural Networks with Self-Attention Mechanism.

Kosuke Fukumori, Noboru Yoshida, Hidenori Sugano, Madoka Nakajima, Toshihisa Tanaka

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Automated Detection of Abnormal EEGs in Epilepsy With a Compact and Efficient CNN Model.

Taku Shoji, Noboru Yoshida, Toshihisa Tanaka

CoRR, 2021

Automated detection of abnormalities from an EEG recording of epilepsy patients with a compact convolutional neural network.

Taku Shoji, Noboru Yoshida, Toshihisa Tanaka

Biomed. Signal Process. Control., 2021

On-demand Action Detection System using Pose Information.

Noboru Yoshida, Jianquan Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

View-invariant Feature using Pose Information and Flexible Matching Algorithm for Action Retrieval.

Noboru Yoshida, Jianquan Liu

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

Training Physical and Geometrical Mid-Points for Multi-person Pose Estimation and Human Detection Under Congestion and Low Resolution.

Yadong Pan, Ryo Kawai, Noboru Yoshida, Hiroo Ikeda, Shoji Nishimura

SN Comput. Sci., 2020

Scalpnet: Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG Using Convolutional Neural Networks.

Takahiko Sakai, Taku Shoji, Noboru Yoshida, Kosuke Fukumori, Yuichi Tanaka, Toshihisa Tanaka

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Fully Data-driven Convolutional Filters with Deep Learning Models for Epileptic Spike Detection.

Kosuke Fukumori, Hoang Thien Thu Nguyen, Noboru Yoshida, Toshihisa Tanaka

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network.

Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Wanzeng Kong, Hidenori Sugano, Noboru Yoshida

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning.

Xuyang Zhao, Toshihisa Tanaka, Wanzeng Kong, Qibin Zhao, Jianting Cao, Hidenori Sugano, Noboru Yoshida

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018