Kai Morino

11 papers A* 2B 1C 1Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
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.
Yusuke Sakemi, Kai Morino, Takashi Morie, Kazuyuki Aihara
2022 C conf
A Spiking Neural Network with Resistively Coupled Synapses Using Time-to-First-Spike Coding Towards Efficient Charge-Domain Computing.
ISCAS
Yusuke Sakemi, Kai Morino, Takashi Morie, Takeo Hosomi, Kazuyuki Aihara
2020 J jnl
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design.
CoRR
Yusuke Sakemi, Kai Morino, Takashi Morie, Kazuyuki Aihara
2020 J jnl
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time.
CoRR
Yusuke Sakemi, Kai Morino, Timothée G. Leleu, Kazuyuki Aihara
2017 A* conf
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes.
KDD
Toshimitsu Uesaka, Kai Morino, Hiroki Sugiura, Taichi Kiwaki, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2016 J jnl
Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors.
CoRR
Motohide Higaki, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2016 — conf
Predicting Glaucomatous Progression with Piecewise Regression Model from Heterogeneous Medical Data.
HEALTHINF
Kyosuke Tomoda, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2016 J jnl
System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer.
Quant. Biol.
Yoshito Hirata, Kai Morino, Taiji Suzuki, Qian Guo, Hiroshi Fukuhara, Kazuyuki Aihara
2016 B conf
Temporal Network Change Detection Using Network Centralities.
DSAA
Yoshitaro Yonamoto, Kai Morino, Kenji Yamanishi
2015 A* conf
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering.
KDD
Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2014 — conf
Predicting glaucoma progression using multi-task learning with heterogeneous features.
IEEE BigData
Shigeru Maya, Kai Morino, Kenji Yamanishi