IEEE

Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications

Abstract: The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards ...
Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

New machine-learning models capture the rapid evolution of antimicrobial resistance

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
IEEE

Machine-Learning-Based Optimization Method for Polarization-Rotation Element in Broadband and High-Aperture-Efficiency Metalens Antenna

Abstract: A machine-learning-based method is utilized to design and optimize the polarization rotation element (PRE) used for the design of broadband and high-aperture-efficiency metalens antenna (MLA ...