| Dynamical robustness in complex networks: the crucial role of low-degree nodes G Tanaka, K Morino, K Aihara Scientific Reports 2, 232, 2012 | 124 | 2012 |
| Robustness of multilayer oscillator networks K Morino, G Tanaka, K Aihara Physical Review E 83 (5), 056208, 2011 | 58 | 2011 |
| Dynamical robustness of coupled heterogeneous oscillators G Tanaka, K Morino, H Daido, K Aihara Physical review E 89 (5), 052906, 2014 | 56 | 2014 |
| Efficient recovery of dynamic behavior in coupled oscillator networks K Morino, G Tanaka, K Aihara Physical Review E 88 (3), 032909, 2013 | 29 | 2013 |
| Personalizing androgen suppression for prostate cancer using mathematical modeling Y Hirata, K Morino, K Akakura, CS Higano, K Aihara Scientific reports 8 (1), 2673, 2018 | 25 | 2018 |
| Predicting disease progression from short biomarker series using expert advice algorithm K Morino, Y Hirata, R Tomioka, H Kashima, K Yamanishi, N Hayashi, ... Scientific Reports 5, 8953, 2015 | 25 | 2015 |
| Robustness of Oscillatory Behavior in Correlated Networks T Sasai, K Morino, G Tanaka, JA Almendral, K Aihara PLOS ONE 10 (4), e0123722, 2015 | 24 | 2015 |
| A supervised learning algorithm for multilayer spiking neural networks based on temporal coding toward energy-efficient VLSI processor design Y Sakemi, K Morino, T Morie, K Aihara IEEE Transactions on Neural Networks and Learning Systems, 2021 | 23 | 2021 |
| New developments in large deviation statistics and time correlation calculations in chaotic dynamics and stochastic processes 宮崎修次， 小林幹， 江島啓 電子情報通信学会技術研究報告= IEICE technical report: 信学技報 107 (560), 37-42, 2008 | 19 | 2008 |
| Intermittent Androgen Suppression: Estimating Parameters for Individual Patients Based on Initial PSA Data in Response to Androgen Deprivation Therapy. Y Hirata, K Morino, K Akakura, CS Higano, N Bruchovsky, T Gambol, ... PloS one 10 (6), e0130372, 2015 | 17 | 2015 |
| Model-size reduction for reservoir computing by concatenating internal states through time Y Sakemi, K Morino, T Leleu, K Aihara Scientific reports 10 (1), 21794, 2020 | 15 | 2020 |
| Dynamical Robustness of Complex Biological Networks G Tanaka, K Morino, K Aihara Mathematical Approaches to Biological Systems, Chapter 2, 29-53, 2015 | 14* | 2015 |
| Predicting glaucoma progression using multi-task learning with heterogeneous features S Maya, K Morino, K Yamanishi IEEE International Conference on Big Data 2014 (IEEE BigData 2014), 261-270 …, 2014 | 12 | 2014 |
| Multi-view learning over retinal thickness and visual sensitivity on glaucomatous eyes T Uesaka, K Morino, H Sugiura, T Kiwaki, H Murata, R Asaoka, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 11 | 2017 |
| Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering S Maya, K Morino, H Murata, R Asaoka, K Yamanishi Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 11 | 2015 |
| Predicting Glaucomatous Progression with Piecewise Regression Model from Heterogeneous Medical Data K Tomoda, K Morino, H Murata, R Asaoka, K Yamanishi Proceedings of the 9th International Joint Conference on Biomedical …, 2016 | 10 | 2016 |
| Temporal network change detection using network centralities Y Yonamoto, K Morino, K Yamanishi 2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016 | 5 | 2016 |
| Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors M Higaki, K Morino, H Murata, R Asaoka, K Yamanishi arXiv preprint arXiv:1603.07094, 2016 | 4 | 2016 |
| System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer Y Hirata, K Morino, T Suzuki, Q Guo, H Fukuhara, K Aihara Quantitative Biology 4, 13-19, 2016 | 4 | 2016 |
| Bifurcation mechanism for emergence of spontaneous oscillations in coupled heterogeneous excitable units K Morino, G Tanaka, K Aihara Physical Review E 98 (5), 052210, 2018 | 3 | 2018 |
Gouhei TanakaNagoya Institute of TechnologyBestätigte E-Mail-Adresse bei nitech.ac.jp
