107 citations · 178 across the 5 of their papers we have counts for
5 papers
Deep-Learning Estimation of Band Gap with the Reading-Periodic-Table Method and Periodic Convolution Layer
Tomohiko Konno
We verified that the deep learning method named reading periodic table introduced by ref. Deep Learning Model for Finding New Superconductors, which utilizes deep learning to read…
Deep Learning Model for Finding New Superconductors
Tomohiko Konno, Hodaka Kurokawa, Fuyuki Nabeshima +4
Exploration of new superconductors still relies on the experience and intuition of experts and is largely a process of experimental trial and error. In one study, only 3% of the ca…
Icing on the Cake: An Easy and Quick Post-Learnig Method You Can Try After Deep Learning
Tomohiko Konno, Michiaki Iwazume
We found an easy and quick post-learning method named "Icing on the Cake" to enhance a classification performance in deep learning. The method is that we train only the final class…
Cavity Filling: Pseudo-Feature Generation for Multi-Class Imbalanced Data Problems in Deep Learning
Tomohiko Konno, Michiaki Iwazume
Herein, we generate pseudo-features based on the multivariate probability distributions obtained from the feature maps in layers of trained deep neural networks. Further, we augmen…
A Condition for Cooperation in a Game on Complex Networks
Tomohiko Konno
We study a condition of favoring cooperation in a Prisoner's Dilemma game on complex networks. There are two kinds of players: cooperators and defectors. Cooperators pay a benefit…