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2020 – today
- 2023
[j2]Yusuke Sakemi
, Kai Morino, Takashi Morie, Kazuyuki Aihara:
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design. IEEE Trans. Neural Networks Learn. Syst. 34(1): 394-408 (2023)- 2022
- [c6]Yusuke Sakemi, Kai Morino, Takashi Morie, Takeo Hosomi, Kazuyuki Aihara:
A Spiking Neural Network with Resistively Coupled Synapses Using Time-to-First-Spike Coding Towards Efficient Charge-Domain Computing. ISCAS 2022: 2152-2156 - 2020
- [i3]Yusuke Sakemi, Kai Morino, Takashi Morie, Kazuyuki Aihara:
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design. CoRR abs/2001.05348 (2020) - [i2]Yusuke Sakemi, Kai Morino, Timothée G. Leleu, Kazuyuki Aihara:
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time. CoRR abs/2006.06218 (2020)
2010 – 2019
- 2017
- [c5]Toshimitsu Uesaka, Kai Morino, Hiroki Sugiura, Taichi Kiwaki, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes. KDD 2017: 2041-2050 - 2016
- [j1]Yoshito Hirata, Kai Morino, Taiji Suzuki, Qian Guo, Hiroshi Fukuhara, Kazuyuki Aihara:
System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer. Quant. Biol. 4(1): 13-19 (2016) - [c4]Kyosuke Tomoda, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Predicting Glaucomatous Progression with Piecewise Regression Model from Heterogeneous Medical Data. HEALTHINF 2016: 93-104 - [c3]Yoshitaro Yonamoto, Kai Morino, Kenji Yamanishi:
Temporal Network Change Detection Using Network Centralities. DSAA 2016: 51-60 - [i1]Motohide Higaki, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors. CoRR abs/1603.07094 (2016) - 2015
- [c2]Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. KDD 2015: 1979-1988 - 2014
- [c1]Shigeru Maya, Kai Morino, Kenji Yamanishi:
Predicting glaucoma progression using multi-task learning with heterogeneous features. IEEE BigData 2014: 261-270
Coauthor Index
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