.- Artificial Intelligence.
.- Evolving AI for Preclinical Alzheimer’s Disease: A Systematic Literature
Review from Static Detection to Multimodal and Explainable Models.
.- LLM-Augmented Reinforcement Learning for Scalable Web GUI Testing.
.- Autonomous Manoeuvre Planning for Low-Thrust Satellites via Reinforcement Learning.
.- Resource-Efficient Techniques for Hyperparameter Optimization in Machine Learning.
.- Machine Learning for Prostate Cancer Risk Stratification: A Web-Based Tool with Explainability and Fairness.
.- GQL-QL: A Reinforcement Learning Framework for High-Coverage Automated Testing of GraphQL APIs.
.- Species-Aware Fish Catch Forecasting Using CatBoost and Multi-Source Temporal Features.
.- From Tiny to 72 B: Evaluating Vision–Language Models for E-commerce Image Validation.
.- PUR: A Standalone Metric for Measuring Neural Network Computational Efficiency.
.- Soccer Action Spotting with Multimodal Fusion and Markov-Guided Transformers.
.- CapTrAD: A Hybrid Model for Alzheimer’s Disease Classification.
.- Investigating User-Side Answer Errors and Large Language Model Awareness in Goal-Oriented Conversations.
.- Analyzing and Comparing Machine Learning Models via Inductive Orientation.
.- Enhancing Disease Classification in Emergency Medical Scenarios Through Synthetic Data: A Comparative Study.
.- Analogy-Based Classifier for Text Morphological Disambiguation: A Comparative Study.
.- From Realistic to Story-Worth Simulations: Making Agents Dramatic.
.- Towards Interpretable Deep Learning for Early Alzheimer’s Diagnosis: An Improved YOLOv8 Framework with Grad-CAM Validation.
.- Transformer Architectures for Option Pricing: Valuation, Prediction, and Trading.
.- Improving Brain Tumor Diagnosis and Multiclassification with Capsule Network-Based Deep Learning.
.- Improving Generative Cross-Lingual Aspect-Based Sentiment Analysis with Constrained Decoding.
.- Cross-Domain Analysis of the Effectiveness of LLMs in Essay Assessment: From the Technical Rigor of IME to the Large-Scale Context of ENEM.
.- Artificial Intelligence in Model-Driven Architecture: A Comprehensive Survey and Context-Aware Framework.
.- Large Language Models for the Summarization of Czech Documents: From History to the Present.
.- Behavior-Driven Test Generation from Natural Language Using Agents and Large Language Models.
.- A Federated Calibration Framework for ML-Based Intrusion Detection Systems.
.- Genetic Programming in Federated Aggregation: A comparison of FedGP with State of the Art Methods.
.- A Neural Approach to Building a Lexicon for a Symbolic Minimalist Parser.
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