Remote Sensing | Free Full-Text | Inverse Synthetic Aperture LiDAR Imaging of Rough Targets under Small Rotation Angles
Frontiers | Machine Learning Based Classification of Resting-State fMRI Features Exemplified by Metabolic State (Hunger/Satiety)
Properties of the spontaneous activity. A: Power spectral density of... | Download Scientific Diagram
Naoki's Scientific Contributions
Machine Learning Interatomic Potentials and Long-Range Physics | The Journal of Physical Chemistry A
Fourier Feature - an overview | ScienceDirect Topics
Random Fourier Features
Emergent Orientation Selectivity from Random Networks in Mouse Visual Cortex - ScienceDirect
Random Fourier Features
A new three-dimensional elastography using phase based shifted Fourier transform - ScienceDirect
Neural Field Models: A mathematical overview and unifying framework
The divisive normalization model of V1 neurons: a comprehensive comparison of physiological data and model predictions | Journal of Neurophysiology
Flexible Dual-Branched Message-Passing Neural Network for a Molecular Property Prediction | ACS Omega
neurolib: a simulation framework for whole-brain neural mass modeling | bioRxiv
Physics-Inspired Equivariant Descriptors of Nonbonded Interactions | The Journal of Physical Chemistry Letters
IJGI | Free Full-Text | Road Extraction from VHR Remote-Sensing Imagery via Object Segmentation Constrained by Gabor Features
Analysis of convolutional neural networks reveals the computational properties essential for subcortical processing of facial expression | Scientific Reports
Open-Source Machine Learning in Computational Chemistry | Journal of Chemical Information and Modeling
Fourier transform of a 2D real Gabor function and its filter bank. a In... | Download Scientific Diagram
Neural Field Models: A mathematical overview and unifying framework
Modeling Electronic Response Properties with an Explicit-Electron Machine Learning Potential | Journal of Chemical Theory and Computation
Short-time Fourier transform representations of the averaged torsional... | Download Scientific Diagram
Regularized by Physics: Graph Neural Network Parametrized Potentials for the Description of Intermolecular Interactions | Journal of Chemical Theory and Computation
