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Toshiaki Koike-Akino

Showing results (1-10 of 22) with videos related to

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Frontiers in Robotics and AI|January 27, 2021
Proposal and Evaluation of Visual Haptics for Manipulation of Remote Machine SystemMasaki Haruna, Masaki Ogino, Toshiaki Koike-Akino
IEEE Signal Processing Letters|December 10, 2019
Adversarial Deep Learning in EEG BiometricsOzan Özdenizci, Ye Wang, Toshiaki Koike-Akino, et al.
Optics Letters|July 15, 2022
Inverse regular perturbation with ML-assisted phasor correction for fiber nonlinearity compensationHubert Dzieciol, Toshiaki Koike-Akino, Ye Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Random Channel Ablation for Robust Hand Gesture Classification with Multimodal BiosignalsKeshav Bimbraw, Jing Liu, Ye Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) SignalsAndac Demir, Toshiaki Koike-Akino, Ye Wang, et al.
Optics Express|April 27, 2022
DNN-assisted phase distance tuned PSK modulation for PAM4-to-QPSK format conversion gateway nodeTakahiro Kodama, Toshiaki Koike-Akino, Keisuke Kojima, et al.
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Learning Invariant Representations from EEG via Adversarial InferenceOzan Özdenizci, Y E Wang, Toshiaki Koike-Akino, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals DataNiklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Disentangled Adversarial Transfer Learning for Physiological BiosignalsMo Han, Ozan Ozdenizci, Ye Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) SignalsAndac Demir, Toshiaki Koike-Akino, Ye Wang, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Frontiers in Robotics and AI|January 27, 2021
Proposal and Evaluation of Visual Haptics for Manipulation of Remote Machine SystemMasaki Haruna, Masaki Ogino, Toshiaki Koike-Akino
IEEE Signal Processing Letters|December 10, 2019
Adversarial Deep Learning in EEG BiometricsOzan Özdenizci, Ye Wang, Toshiaki Koike-Akino, et al.
Optics Letters|July 15, 2022
Inverse regular perturbation with ML-assisted phasor correction for fiber nonlinearity compensationHubert Dzieciol, Toshiaki Koike-Akino, Ye Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Random Channel Ablation for Robust Hand Gesture Classification with Multimodal BiosignalsKeshav Bimbraw, Jing Liu, Ye Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) SignalsAndac Demir, Toshiaki Koike-Akino, Ye Wang, et al.
Optics Express|April 27, 2022
DNN-assisted phase distance tuned PSK modulation for PAM4-to-QPSK format conversion gateway nodeTakahiro Kodama, Toshiaki Koike-Akino, Keisuke Kojima, et al.
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Learning Invariant Representations from EEG via Adversarial InferenceOzan Özdenizci, Y E Wang, Toshiaki Koike-Akino, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals DataNiklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Disentangled Adversarial Transfer Learning for Physiological BiosignalsMo Han, Ozan Ozdenizci, Ye Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) SignalsAndac Demir, Toshiaki Koike-Akino, Ye Wang, et al.
Pageof 3