Abstract: Time series classification (TSC) is essential in various application domains to understand the system dynamics. The adoption of deep learning has advanced TSC, however its performance is ...

Abstract: Trainable parameters and hyperparameters are critical to the development of a deep learning model. However, the components have typically been studied individually, and most studies have ...

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 ...

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 ...

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.

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 ...