We explore the use of large language models (LLMs) in hyperparameter optimization (HPO). By prompting LLMs with dataset and model descriptions, we develop a methodology where LLMs suggest ...
Abstract: Electromagnetic (EM) methods are widely used for mapping subsurface electrical resistivity structures. Interpreting geophysical EM data often involves solving inversion problems with ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Abstract: Federated Learning (FL) is a privacy-preserving computing paradigm that enables participants to collaboratively train a global model without exchanging their raw personal data. Due to ...
This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
A PyTorch-based deep learning system for detecting replay/spoof attacks on Telugu speech audio. This project implements a CNN classifier that distinguishes between genuine (original) and spoofed ...
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