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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

Field of study/sector

  • Computer Science & IT

Organisation

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

Research Day on Responsible AI

research day - Antwerp - ACRAI (UAntwerp), Flanders AI EDIH

Flanders AI Research Day

Mark your calendar for October 14th! The Flanders AI Research Program (FAIR) is thrilled to invite you to our most anticipated event of the…

Interpretation and Explanation of Deep Computer Vision

Webinar - Online - VAIA, TRAIL & EDIH Europe