29 citations · 40 across the 5 of their papers we have counts for
4 papers · 1 filter
Clustering and Data Augmentation to Improve Accuracy of Sleep Assessment and Sleep Individuality Analysis
Shintaro Tamai, Masayuki Numao, Ken-ichi Fukui
Recently, growing health awareness, novel methods allow individuals to monitor sleep at home. Utilizing sleep sounds offers advantages over conventional methods like smartwatches,…
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery
Pongpisit Thanasutives, Takashi Morita, Masayuki Numao +1
We propose a new parameter-adaptive uncertainty-penalized Bayesian information criterion (UBIC) to prioritize the parsimonious partial differential equation (PDE) that sufficiently…
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations
Pongpisit Thanasutives, Masayuki Numao, Ken-ichi Fukui
Recently, researchers have utilized neural networks to accurately solve partial differential equations (PDEs), enabling the mesh-free method for scientific computation. Unfortunate…
Efficient Decision Trees for Multi-class Support Vector Machines Using Entropy and Generalization Error Estimation
Pittipol Kantavat, Boonserm Kijsirikul, Patoomsiri Songsiri +2
We propose new methods for Support Vector Machines (SVMs) using tree architecture for multi-class classi- fication. In each node of the tree, we select an appropriate binary classi…