Kai Morino

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 10

Top Topics

Prostate Cancer

Spiking Neural Networks

Learning Algorithm

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

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) (2023)
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)
Yusuke Sakemi, Kai Morino, Timothée G. Leleu, Kazuyuki Aihara
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time. CoRR (2020)
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 (2020)
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)
Motohide Higaki, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors. CoRR (2016)
Yoshitaro Yonamoto, Kai Morino, Kenji Yamanishi
Temporal Network Change Detection Using Network Centralities. DSAA (2016)
Kyosuke Tomoda, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Predicting Glaucomatous Progression with Piecewise Regression Model from Heterogeneous Medical Data. HEALTHINF (2016)
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) (2016)
Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. KDD (2015)
Shigeru Maya, Kai Morino, Kenji Yamanishi
Predicting glaucoma progression using multi-task learning with heterogeneous features. IEEE BigData (2014)