and fairness in machine learning.Part II - computer vision: classification; and computer vision: 3D methods.Part III - computer vision: anomaly detection; and topics in computer vision.Part IV - brain-inspired computing;

.- Brain-inspired ComputingBrain-inspired Computing. .- A Multiscale Resonant Spiking Neural Network for Music Classification. .- Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements. .- Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositionality in Planning. .- Sparsity aware Learning in Feedback-driven Differential Recurrent Neural Networks. .- Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. .- Cognitive and Computational Neuroscience. .- Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer. .- Biologically-plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-encoded Distributions. .- Dynamic Graph for Biological Memory Modeling: A System-Level Validation. .- EEG features learned by convolutional neural networks reflect alterations of social stimuli processing in autism. .- Estimate of the Storage Capacity of q-Correlated Patterns in Hopfield Neural Networks. .- An Accuracy-Shaping Mechanism for Competitive Distributed Learning. .- Explainable Artificial Intelligence. .- Counterfactual Contrastive Learning for Fine Grained Image Classification.  .- Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space. .- Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. .- Generally-Occurring Model Change for Robust Counterfactual Explanations. .- Model Based Clustering of Time Series Utilizing Expert ODEs. .- Towards Generalizable and Interpretable AI-Modified Image Detectors. .- Understanding Deep Networks via Multiscale Perturbations. .- Robotics. .- Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. .- Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation. .- Robust Navigation for Unmanned Surface Vehicle Utilizing Improved Distributional Soft Actor-Critic. .- When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration. .- Reinforcement Learning. .- Asymmetric Actor-Critic for Adapting to Changing Environments in Reinforcement Learning.  .- Building surrogate models using trajectories of agents trained by Reinforcement Learning. .- Demand-Responsive Transport Dynamic Scheduling Optimization Based on Multi-Agent Reinforcement Learning under Mixed Demand. .- Dual Action Policy for Robust Sim-to-Real Reinforcement Learning. .- Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation. .- Speeding up Meta-Exploration via Latent Representation.