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 PhD 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
opleidingen
Flanders AI Research Day
evenement - Gent - Vlaams AI-onderzoeksprogramma
Research Day on Responsible AI
onderzoeksdag - Antwerpen - ACRAI (UAntwerpen), Flanders AI EDIH
Improving AI Deployment through Interpretability and Explainability Algorithms
twee presentaties - Antwerpen - IDLab
Dataset Distillation - A Gentle Introduction
webinar - online - UAntwerpen, IDLab, Flanders AI EDIH
AI Explainability: What is it, What it isn't and Where are we now?
online webinar - UAntwerpen IDLab & Flanders AI EDIH, co-funded door de EU
Hyperspectral Imaging and Machine Learning: Decoding the Spectrum for Advanced Data Analysis
Webinar - UAntwerpen IDLab & Flanders AI EDIH, met steun van de EU
Interpretation and Explanation of Deep Computer Vision
Webinar - Online - VAIA, TRAIL & EDIH Europe