| 2025 | Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems. | Rachmad Vidya Wicaksana Putra, Pasindu Wickramasinghe, Muhammad Shafique |
| 2025 | QSViT: A Methodology for Quantizing Spiking Vision Transformers. | Rachmad Vidya Wicaksana Putra, Saad Iftikhar, Muhammad Shafique |
| 2025 | Region Contrast Distillation for Medical Image Segmentation. | Jiahao Pu, Wanli Dong, Jiachuan Fan, Ning Jiang |
| 2025 | Online Learning of a Real-World Quadcopter Attitude Dynamics using a Self-Organizing RBF Network. | Teo Protoulis, Alex Alexandridis |
| 2025 | Lightweight segmentation neural network for infrastructure maintenance in industrial digital twins. | Katarzyna Prokop, Adam Zielonka, Dawid Polap |
| 2025 | Advancing RFI-Detection in Radio Astronomy with Liquid State Machines. | Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun, Richard Dodson |
| 2025 | Towards An Unsupervised Deep Representations for Plant Species Recognition. | Diego Henrique Presner, Andre Gustavo Hochuli, Alceu de Souza Britto Jr. |
| 2025 | Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects. | Tobias Preintner, Weixuan Yuan, Qi Huang, Adrian Knig, Thomas Bck, Elena Raponi, Niki van Stein |
| 2025 | SymFace: Additional Facial Symmetry Loss for Deep Face Recognition. | Pritesh Prakash, Koteswar Rao Jerripothula, Ashish Jacob Sam, Prinsh Kumar Singh, S. Umamaheswaran |
| 2025 | Next Point of Interest Prediction Using Graph Attention Networks and Cognitive Navigational Styles. | Valerio Ponzi, Samuele Russo, Janusz T. Starczewski, Imad Eddine Tibermacine, Christian Napoli |
| 2025 | RSAM-UNETR: Transformers for Road Segmentation for self driving cars using Residual Spatial Attention Module. | Alicja Polowczyk, Agnieszka Polowczyk, Marcin Wozniak |
| 2025 | Electric Power Grids Meet High-dimensional Statistics: a Short Survey. | Mark Podolskij, Ganesh Kumar Venayagamoorthy |
| 2025 | Value of Information-Enhanced Exploration in Bootstrapped DQN. | Stergios Plataniotis, Charilaos Akasiadis, Georgios Chalkiadakis |
| 2025 | Efficient and Fast Generative-Based Singing Voice Separation using a Latent Diffusion Model. | Gens Plaja-Roglans, Yun-Ning Hung, Xavier Serra, Igor Pereira |
| 2025 | Position Paper: Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks. | Christos Plachouras, Julien Guinot, Gyrgy Fazekas, Elio Quinton, Emmanouil Benetos, Johan Pauwels |
| 2025 | ORSA-T: Multi-View Object-Centric Scene Representation Learning with Slot Attention and Transformer. | Henri Placek, Chris Child, Tillman Weyde |
| 2025 | ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding. | Suchanuch Piriyasatit, Chaohao Yuan, Ercan Engin Kuruoglu |
| 2025 | Classical to Quantum Knowledge Distillation: a Study on the Impact of Hybridization. | Simone Piperno, Giacomo Vittori, David Windridge, Antonello Rosato, Massimo Panella |
| 2025 | Residual Reservoir Memory Networks. | Matteo Pinna, Andrea Ceni, Claudio Gallicchio |
| 2025 | Artificial Intelligence for Critical Infrastructure Systems: Past, Present and Future. | Nelishia Pillay, Thambo Nyathi, Ganesh Kumar Venayagamoorthy |
| 2025 | Rosetta: Enhancing Neural Machine Translation through Multilingual-PLMs and Semantic Constraints. | Pengfei Pi, Rize Jin, Xiaohan Ma, Tae-Sun Chung |
| 2025 | Segmentation and Smoothing Affect Explanation Quality More Than the Choice of Perturbation-based XAI Method for Image Explanations. | Gustav Grund Pihlgren, Kary Frmling |
| 2025 | End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation. | Andrea Di Pierno, Luca Guarnera, Dario Allegra, Sebastiano Battiato |
| 2025 | Towards Explainable Person-of-Interest-based Audio Synthesis Detection. | Alessandro Pianese, Luca Cuccovillo, Giovanni Poggi, Thomas Le Roux, Patrick Aichroth |
| 2025 | Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning. | Tien Pham, Angelo Cangelosi |