The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From Black-Box to Glass-Box
π Location: KX Building (11th Floor), Conference Room X11.1 and ONLINE
π Date: 15 December 2024
β° Time: 4:00 PM β 5:50 PM (UTC+7)
π Session Chair: Chiara Camastra
Neuroscience Research Center, Magna Graecia University of Catanzaro, Italy
Dive into cutting-edge research and discussions at XAIB 2024, where we explore how Explainable AI is transforming our understanding of the brain and advancing neuroscience.
π§ Program Overview
4:00 PM – 4:15 PM
Opening Remark
π Prof. Alessia Sarica
Neuroscience Research Center, Magna Graecia University of Catanzaro, Italy
4:15 PM – 4:45 PM
Invited Talk
Title: Supervised ML in Science – From Interpretability to Robustness
π Christoph Molnar
Department of Statistics, LMU Munich, Germany; Leibniz Institute for Prevention Research, Germany
4:45 PM – 5:00 PM
Invited Talk
Title: Deep Learning and Explainability: How Far Are We?
π Dr. Sanjay Ghosh
Indian Institute of Technology Kharagpur, India
5:00 PM – 5:15 PM
B278: A Convolutional Neural Network with Feature Selection for Generating Explainable 1D Image Information for Brain Disease Diagnosis (online)
π Luna M. Zhang
Stony Brook University, NY, USA
5:15 PM – 5:30 PM
B244: Probing Temporal Filters of Vision via a Falsifiable Model of Flicker Fusion (online)
π Keerthi S Chandran, Kuntal Ghosh
Indian Statistical Institute, India
5:30 PM – 5:45 PM
B212: A Comparison of ANN-Optimization and Logistic Regression β An Example of the Acceptance of EEG Devices (online)
π Tina Zeilner, Andreas Uphaus, and Bodo Vogt
Otto-von-Guericke-UniversitΓ€t Magdeburg, Germany; Hochschule Bielefeld, Germany
5:45 PM – 5:50 PM
Closing Remark
π Prof. Alessia Sarica
Neuroscience Research Center, Magna Graecia University of Catanzaro, Italy
For more details or inquiries, contact: chiara.camastra at unicz.it
