Abstract: A novel simplified implementation structure is proposed for digital backpropagation in digital subcarrier-multiplexing systems (SCM-DBP) and one of its modifications, the SCM-DBP with ...

Abstract: Deep neural networks are vulnerable to adversarial examples, dictating the imperativeness to test the model’s robustness before deployment. Transfer-based attackers craft adversarial ...

Using backpropagation to compute gradients of objective functions for optimization has remained a mainstay of machine learning. Backpropagation, or reverse-mode differentiation, is a special case ...

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...

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) ...