63 citations · 132 across the 7 of their papers we have counts for
7 papers
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…
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery
Pongpisit Thanasutives, Takashi Morita, Masayuki Numao +1
This work is concerned with discovering the governing partial differential equation (PDE) of a physical system. Existing methods have demonstrated the PDE identification from finit…
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…
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
Pongpisit Thanasutives, Ken-ichi Fukui, Masayuki Numao +1
In this paper, we propose two modified neural networks based on dual path multi-scale fusion networks (SFANet) and SegNet for accurate and efficient crowd counting. Inspired by SFA…
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…
Fusion of EEG and Musical Features in Continuous Music-emotion Recognition
Nattapong Thammasan, Ken-ichi Fukui, Masayuki Numao
Emotion estimation in music listening is confronting challenges to capture the emotion variation of listeners. Recent years have witnessed attempts to exploit multimodality fusing…