Last Friday I received the Education Prize by the Faculty of Sciences @UAntwerpen. Thanks to my colleagues, teaching/research assistants, and the students for the support. It is thanks to the foundation these persons build for me that my name is on that certificate; I am grateful

What a way to close such an amazing day yesterday. After a busy but rewarding #AIMLAI event I received an official outstanding announcement... I got tenured! 🥳
Thanks to my family, colleagues, friends and the members of the #sqIRL Lab for being the solid foundation for this achievement

Yesterday took place the 7th edition of the #AIMLAI workshop on interpretable machine learning and artificial intelligence held as part of #ECNLPKDD 2024. Thanks to the presenters and participants for the engaging discussions. More details at: https://project.inria.fr/aimlai/ #XAI #AI #ML

MIRL/IDLab-Uantwerp well represented at the #IDLabDay'24 by Benjamin Vandersmissen presenting his work assessing the coherency of evaluation methods for visual explanations https://www.sciencedirect.com/science/article/pii/S1077314224000158?dgcid=coauthor #xai #interpretability #uantwerp

With the presentation of 14 research papers, we concluded the #ANN course this year at #UAntwerp Good level of presentation and Q&A, very pleased

Great news, this year #AIMLAI will be held in conjunction with #ECMLPKDD 2024. Looking forward to meeting you in Vilnius! #xai #interpretableML #explainability #interpretability #ai #ml @ECMLPKDD @IDLabResearch @imecVlaanderen @UAntwerpen

The charging port of my #psvita got ruined. Time to learn how to solder and replace that by a more standard usb-c. I have this in mind https://www.youtube.com/watch?v=9OP-wdgezkw wish me luck

The day-1 of #AIMLAI at #ECMLPKDD '23 concluded with a good variety of contributed presentations. Thanks to the authors and the participants for the engaging discussions and to @lgalarra for the on-site chairing of the event.
See you this Friday for the day-2 of AIMLAI. #XAI #ML

Very inspiring talk by Prof. Mihaela Van Der Schaar (U. Cambridge) on the importance of interpretability methods that go beyond static predictions (time-prediction models, unsupervised models, etc.) and on the power that model interpretability tools have for discovery. #AIMLAI #ECMLPKDD2023 #XAI #ML #AI