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 radar-based AI detects building destruction in war zones using free satellite data, offering near real-time conflict ...
Abstract: In this study, we propose an innovative dynamic classification algorithm aimed at achieving zero missed detections and minimal false positives, critical in safety-critical domains (e.g., ...
Many AI models have been raising concerns about bias and privacy. The EU enforces strict regulations for transparency, while the US prefers a more open, less restrictive approach, highlighting ...
As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...
In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...
Abstract: Open set automatic modulation classification (OAMC) can identify unexpected unknown modulation types in real-world scenarios, which is receiving increasing interests in electronic ...
1 German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany 2 Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany Introduction: Neurodegenerative ...
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