Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization. - Angelos Nalmpantis; Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas (MLSP, 2021)

Deep adaptive group-based input normalization for financial trading. - Angelos Nalmpantis; Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas (Pattern Recognit. Lett., 2021)

Vision DiffMask: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking. - Angelos Nalmpantis; Apostolos Panagiotopoulos; John Gkountouras; Konstantinos Papakostas; Wilker Aziz (CVPR Workshops, 2023)

End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning. - Angelos Nalmpantis; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2023)

Explicit Bandwidth Learning for FOREX Trading Using Deep Reinforcement Learning. - Angelos Nalmpantis; Nikolaos Passalis; Anastasios Tefas (IEEE Signal Process. Lett., 2025)

Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval. - Kshitij Kavimandan; Angelos Nalmpantis; Emma Beauxis-Aussalet; Robert-Jan Sips (CoRR, 2025)