Kai Morino

According to our database, Kai Morino authored at least 10 papers between 2014 and 2023.

Collaborative distances:

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

2023

A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design.

Yusuke Sakemi, Kai Morino, Takashi Morie, Kazuyuki Aihara

IEEE Trans. Neural Networks Learn. Syst., 2023

2022

A Spiking Neural Network with Resistively Coupled Synapses Using Time-to-First-Spike Coding Towards Efficient Charge-Domain Computing.

Yusuke Sakemi, Kai Morino, Takashi Morie, Takeo Hosomi, Kazuyuki Aihara

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2020

Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time.

Yusuke Sakemi, Kai Morino, Timothée G. Leleu, Kazuyuki Aihara

CoRR, 2020

2017

Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes.

Toshimitsu Uesaka, Kai Morino, Hiroki Sugiura, Taichi Kiwaki, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer.

Yoshito Hirata, Kai Morino, Taiji Suzuki, Qian Guo, Hiroshi Fukuhara, Kazuyuki Aihara

Quant. Biol., 2016

Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors.

Motohide Higaki, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi

CoRR, 2016

Temporal Network Change Detection Using Network Centralities.

Yoshitaro Yonamoto, Kai Morino, Kenji Yamanishi

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Predicting Glaucomatous Progression with Piecewise Regression Model from Heterogeneous Medical Data.

Kyosuke Tomoda, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015

Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering.

Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Predicting glaucoma progression using multi-task learning with heterogeneous features.

Shigeru Maya, Kai Morino, Kenji Yamanishi

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014