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Previous Invited Speakers

The researchers below were distinguished invited speakers at previous DeLTA conferences.
We are indebted to them for their contribution to heighten the conference level.

2024 | 2023 | 2022 | 2021 | 2020

2024

Deep Learning for Wearable Biometrics    
Emanuele Maiorana, Roma Tre University, Italy

Past, Present, Future, and Far Future of AI  
Jürgen Schmidhuber, KAUST AI Initiative, Kingdom of Saudi Arabia; Swiss AI Lab IDSIA, Switzerland and NNAISENSE, Switzerland

New Synergies Between Deep Learning and Kernel Machines    
Johan Suykens, KU Leuven, Belgium


2023

Pervasive AI: (deep) Learning into the Wild    
Davide Bacciu, University of Pisa, Italy

Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies  
Luís Paulo Reis, University of Porto, Portugal


2022

Deep Learning Methods for Human Posture Estimation    
Ioannis Pitas, Aristotle University of Thessaloniki, Greece

“Deep Internal Learning”: Deep Learning and Visual Inference without Prior Examples  
Michal Irani, Weizmann Institute of Science, Israel

Ethical Creation of Ethical Data    
João Freitas, PagerDuty, Portugal


2021

More than Meets the Eye: Towards an Artificial Intelligence Observatory    
Matias Carrasco Kind, University Illinois Urbana Champaign, United States

Deep Learning for Biometric Systems: Applications and Trends  
Fabio Scotti, Universita degli Studi di Milano, Italy

Leveraging Deep Learning for Mental Health Promotion  
Elisabeth André, University of Augsburg, Germany

What is Common between Negative Transfer, Uncertainty and Food Recognition?    
Petia Radeva, Universitat de Barcelona, Spain


2020

Uncertainty Modeling within an End-to-end Framework for Food Image Analysis    
Petia Radeva, Universitat de Barcelona, Spain

3D Scene Understanding from a Single Image    
Vincent Lepetit, École des Ponts ParisTech, France


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