We developed a deep learning model incorporating contrastive pretraining with triplet margin loss to stabilise user-specific behavioural patterns, followed by supervised fine-tuning for binary ...
Abstract: Deep learning has significantly advanced speech enhancement (SE) by exploiting hierarchical representations to model complex speech patterns. However, deploying these models on ...
Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...
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