Real-Time Locomotion on Soft Grounds with Dynamic Footprints - 2022 - Frontiers in Virtual Reality
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Updated
Dec 16, 2022 - C#
Real-Time Locomotion on Soft Grounds with Dynamic Footprints - 2022 - Frontiers in Virtual Reality
Generating Upper-Body Motion for Real-Time Characters Making their Way through Dynamic Environments - 2022 - SCA
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
Soft Walks: Real-Time, Two-Ways Interaction between a Character and Loose Grounds - 2021 - Eurographics (short)
Supporting code for "End-to-end optical backpropagation for training neural networks".
MWF-based EEG artifact removal in MATLAB
QuantEase, a layer-wise quantization framework, frames the problem as discrete-structured non-convex optimization. Our work leverages Coordinate Descent techniques, offering high-quality solutions without the need for matrix inversion or decomposition.
Publicly available code from my publications
Testing whether local biodiversity estimates can be robustly predicted among similar studies
Suite of Jupyter Notebook-based tools for interpreting and analyzing standard and capillary gel data.
ISMRM MR-Pub: Interactive MRI books for research and education
The Simulink Model Mutation Testing project provides a framework for generating mutants, and CSV file as an output. It utilizes the MATLAB environment to load the model, apply mutations, and collect outputs.
This project represents the implementation of the Enhanced Spatio-Temporal Image Encoding used in the paper "Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition" published in the "International Conference on Machine Learning and Applications (ICMLA) 2023".
This repository contains scripts from published or submitted manuscripts.
Simulates aperiodic EEG signals and detrends EEG spectra, as well as generates figures used in manuscript.
Code to generate figures/analyses for the Lake Tanganyika project.
A collection of custom scripts used for Gaccioli et al. Nat. Microbiol. 2020.
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