Explainable Artificial Intelligence and Other Soft Computing Techniques: Biomedical and Related Applications

What If the Resulting Interval Is Too Wide: From a Heuristic Fuzzy-Technique Idea to a Mathematically Justified Approach.- Why Kolmolgorov-Arnold Networks (KAN) Work So Well: A Qualitative Explanation.- A Full Description of All Commutative Associative Polynomial Operations on Probabilities.- To Which Interdisciplinary Research Collaborations Should We Pay More Attention?.- Why Green Wavelength Is Closer to Blue Than to Red and How It Is Related to Computations: Information-Based Explanation.- How to Check Continuity Based on Approximate Measurement Results.- Research on Deep Learning Models for Eye Disease Diagnosis Systems.- Machine Learning for Stroke Analysis and Prediction.- Drug Repositioning by XGBoost for Meta-Paths in Heterogeneous Networks.- Applying A Resampling method for Imbalanced Data in Convolutional Neural Networks Based Classification of Mammograms.- Transfer Learning Method with XAI for Brain Tumor Detection.- Gastrointestinal Disease Diagnosis Using Fused Compressed MobileNetV2 and EfficientNetB0 Models for Endoscopic Image.- Student Emotion Recognition System in the Classroom Using Convolutional Neural Network.- Smote and Random Forest Foresight of Pilot Cognitive Model.- Cervical Spine Fracture Detection on CT Scan Images with Deep Learning and Explainable AI.- Natural Language Processing for Evaluating the Alignment of the Artificial Intelligence and Data Science Curriculum at Thang Long.- Stegano in Images by Huffman Codes and Saliency Map.- Real-time Mixed-Integer Quadratic Programming for Driving Behavior-Inspired Speed Bump Optimal Trajectory Planning.- ERIG: A Framework for Categorizing Skin Conditions utilizing Deep Learning and Integrated Gradients Explanation.- An Efficient Framework for Accurate and Interpretable Fish Disease Classification Using Deep Learning and Integrated Gradients.- Predicting Drug-Disease Associations Using Graph-level Graph Attention Networks and Integrated Similarity Measures.- Relevance Vectors: A Cognitively−Motivated Approach towards Inconsistency in Relevance Assessment.- Student Classification with Preprocessing: A Study on Lightweight Models.- A Method for Handling Imbalanced Data in Predicting TF-Target Gene Interactions Using KNN on Heterogeneous Networks.- Deep-Q learning for physical layer security in IRS-supported UAV communication networks.- Automation of Concrete Compressive Strength Prediction Using H2O AutoML.- Improve the Efficiency of Source Code Plagiarism Detection.- Forex Trading Strategies with Signal Detection Algorithm and Deep Learning.- Addressing Data Imbalance in Job Title Classification Using a Bert Mixture of Experts.- Generating Emotional Classical Piano Music With Conditional Variational Autoencoder.- Tackling New Item Problem Using Weighted ensemble recommendation with Image-based filtering.- Deep learning approaches for segmentation, detection, and classification of lung diseases in X-ray imaging.