José Oramas
José Oramas is an Assistant Professor at the Internet Data Lab (IDLab) a joint research lab between the University of Antwerp and IMEC. He received his Ph.D. at the Center for Processing Speech and Images (ESAT-PSI)of KU Leuven in April 2015. Earlier he received his engineering degree from Escuela Superior Politecnica del Litoral in Ecuador. During his Ph.D. he conducted research on understanding how groups of elements from the image (objects, object-parts, image regions, trajectories, etc.) interact and how the relationships between them can be exploited to improve artificial visual perception problems. This fueled his interest towards investigating exploratory/explanatory models that can identify informative intermediate representations and use them as means to justify the predictions that they make.
Research Interests: Representation Learning, Interpretability and Explainability, Multiple Instance Learning, Machine Learning, Deep Learning and Computer Vision
courses
Hyperspectral Imaging and Machine Learning: Decoding the Spectrum for Advanced Data Analysis
webinar - University of Antwerp IDLab and Flanders AI EDIH, co-funded by the EU
AI Explainability: What is it, What it isn't and Where are we now?
online webinar - University of Antwerp IDLab & Flanders AI Edih, co-funded by the EU
Dataset Distillation - A Gentle Introduction
webinar - online - UAntwerp, IDLab, Flanders AI EDIH
Improving AI Deployment through Interpretability and Explainability Algorithms
two talks - Antwerp - UAntwerp ACRAI
Research Day on Responsible AI
research day - Antwerp - ACRAI (UAntwerp), Flanders AI EDIH
Flanders AI Research Day
Interpretation and Explanation of Deep Computer Vision
Webinar - Online - VAIA, TRAIL & EDIH Europe