The problem of finding faults in oscillating data in the form of 3-phase current and voltage values is considered. While these kind of data have high resolutions, we give a solution to multivariate changing point detection, framed as an anomaly detection... read more of Finding Faults in 3-phase electrical lines using lossless reconstruction

An implementation of the DBSCAN algorithm,that extracts mooring places out of AIS messages. Package also includes methods to analyze extracted clusters. read more of Mooring DBSCAN

Application of a Neural Network trained with Reinforcement Learning method aimed to assign production resources to tasks in a production schedule during its execution. read more of AI REGIO Reinforcement Learning for Assembly Line Balancing Enhancement

A flexible tool able to identify and localize in Real-time the best object to pick in scene with a multitude of overlapped identical objects. read more of AI REGIO - Supervised real-time 2D-based Object Detection System

Discrete Variational Multiple Sequence (DVMS) learning framework for the prediction of 360° head movements read more of DVMS

Repository for training ASR models for dysarthic speech read more of Dysarthric speech ASR repository

A framework to train a generalizable model for unseen domains. read more of Memory-based Multi-Source Meta-Learning (M3L)

In Deep Micro-Dictionary Learning and Coding Networks fundamental convolutional layers are replaced by novel compound dictionary learning and coding layers. read more of Deep Micro-Dictionary Learning and Coding Network

A new loss function for self-supervised representation learning, which is based on the whitening of the latent space features. read more of Whitening for Self-Supervised Representation Learning

A computer vision tool specifically designed to automate the classification of visual documents. read more of Document Images Classification