Artificial Intelligence and Cognitive Science

.- Architecture-Dependent Synthetic Data Strategies for Leukemia Diagnosis with Explainable Deep Learning.
.- AI-Generated Images: What Humans and Machines See When They Look at the Same Image.
.- Toward Trustworthy Policy Discovery: A Multilingual Hybrid RAG Approach Applied to EU and UK Peatland Restoration.
.- Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays.
.- Fault Isolation & Explainable AI for Satellite Health Monitoring.
.- Bitcoin Prediction: A Hybrid Approach with Recurrent Neural Networks and GPT-based Reasoning.
.- Evaluating Pre-trained 3rd Party AI Models in Medical Device Software Development for Responsible and Ethical Use.
.- Enhancing Healthcare Data Transparency through a FAIR Ontology for the Systems Engineering Initiative for Patient Safety (SEIPS).
.- Speech Emotion Recognition from Audio using Machine Learning and Deep Learning Approaches.
.- Hindsight Preference Replay Improves Preference-Conditioned Multi-Objective Reinforcement Learning.
.- Classifying Decision-Based Effector Modalities from Fragmented iEEG via Dynamic Recursive Feature Elimination.
.- An Optimized Deep Learning-Based Structure-from-Motion Pipeline for Efficient Glacier 3D Reconstruction.
.- Formal Robustness Verification of a Learnt Autonomous Driver.
.- In Machina N400: Pinpointing Where a Causal Language Model Detects Semantic Violations.
.- TrailSurfNET: Automated Hiking Trail Surface Classification Using CNNs and OpenStreetMap Annotations.
.- LFE-SCCM: Low-Frequency Enhanced Method for Screen Content Image Compression.
.- CAViT - Channel-Aware Vision Transformer for Dynamic Feature Fusion.
.- LLM-RAG Retrieval Optimisation through Fixed and Adaptive Parameters with Cumulative Thresholds.
.- Cooperative MARL with Structured Rewards and Explainable Agents for Hyperparameter Tuning.
.- A Continuous Cloud Coverage Dataset for Robust AI in Occluded Environments.
.- Forecasting Energy Demand in Buildings: The Case for Trees over Deep Nets.
.- Evaluating the Impact of Situation Testing on SMOTE-Based Sampling Techniques for Bias Mitigation.
.- Modality Fusion of MRI and Clinical Data for Glioma Tumour Grading.
.- Tailored Loss Functions to Improve Vertebra Centroid Localization and Classification in Sagittal Spinal Radiographs.
.- Gaussian Process-based Motor Imagery Classification.
.- Synthetic Data for PET and HDPE Classification: A Comparison of Diffusion and Autoregressive Models.
.- Improving Low-Resource Language Translation via Targeted Vocabulary Expansion.
.- Profit-Sensitive Benchmarking of Post-hoc Explainability in Customer Churn.
.- Latency-Sustainability Trade-offs in On-Device vs. Near-Edge Offloaded Semantic Segmentation.
.- Operationalising Properties of Complex Adaptive Systems for ECG-Based Emotion Recognition.
.- Evaluating the Efficacy of Monolingual and Multilingual Pre-training for Igbo Automatic Speech Recognition.
.- A Novel Deep Learning Framework for DeepFake Detection Using Attention-Enhanced EfficientNet-B7.