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) ...

Abstract: Deep learning has made data-driven methods effective in underwater acoustic target recognition (UATR) using passive sonar signals. However, a major current challenge is the limited ...

In Rico v. United States, the Supreme Court will consider whether the fugitive-tolling doctrine – the legal principle that a criminal defendant should not receive credit toward his sentence for time ...

Abstract: Wi-Fi technology has evolved from simple communication routers to sensing devices. Wi-Fi sensing leverages conventional Wi-Fi transmissions to extract and analyze channel state information ...

Starting September 1, 2025, the Bureau will begin receiving new and converted Electronic Surety Bonds (ESB) through NMLS for supervised lender licensees. All businesses with existing Maine supervised ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

“Today we’re announcing a new set of tutorials for students taking their first steps into coding with Swift and SwiftUI! You don’t need prior coding experience to use these tutorials, so they’re a ...

Handwriting notes in class might seem like an anachronism as smartphones and other digital technology subsume every aspect of learning across schools and universities. But a steady stream of research ...

What Is Semi-Supervised Learning? Semi-supervised learning is a powerful machine learning technique that combines the strengths of supervised and unsupervised learning. It leverages a small amount of ...