Machine and Deep Learning
Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks
Cross-target Stance Classification as Domain Adaptation
Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation
Embedded Implementation of the Hypersphere Neural Network for Energy Consumption Monitoring
MACFE: A Meta-learning and Causality Based Feature Engineering Framework
Time Series Forecasting with Quantum Machine Learning Architectures
Explainable Model of Credit Risk Assessment Based on Convolutional Neural Networks
Reinforcement Learning with Success Induced Task Prioritization
Cooperative Chaotic Exploration with UAVs Combining Pheromone Dispersion and Hopfield Chaotic Neural Network
Machine Learning-based Decision Making in Evolutionary Multiobjective Clustering
RBF Neural Network Based on FT-Windows for Auto-Tunning PID Controller
Pursuing the Deep-Learning-based Classification of Exposed and Imagined Colors from EEG
Data Stream Mining for Dynamic Student Modeling
CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling
Heart Failure Disease Prediction Using Machine Learning Models
Classification of flood warnings applying a convolutional neural network
Machine Learning Techniques in Credit Default Prediction
Convolutional and dense ANN for cloud kinetics fore-casting using satellite images
The role of the number of examples in Convolutional Neural Networks with Hebbian Learning
Image Processing and Pattern Recognition
Vision-based Gesture Recognition for Smart Light Switching
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures
Towards an interpretable model for automatic classification of endoscopy images
Reversible image authentication scheme with tampering reconstruction based on very deep super resolution network
Improving artefact detection in endoscopic video using a real-time ensemble method
White Blood Cell Detection and Classification in Blood Smear Images Using a One-Stage Object Detector and Similarity Learning
Evolutionary and Metaheuristic Algorithms
Towards A Complete Multi-Agent Pathfinding Algorithm For Large Agents
Analysis Of The Anytime MAPF Solvers Based On The Combination Of Conflict-Based Search (CBS) and Focal Search (FS)
Studying Special Operators for the Application of Evolutionary Algorithms in the Search of Optimal Boolean Functions for Cryptography
Unification of Source-Code Re-use Similarity Measures
Considerations in the Incremental Hypervolume Algorithm of the WFG
A Hybrid Hyperheuristic Approach for the Containership Stowage Problem Considering the Ship Stability
Mathematical optimization model for raw sugar unloading delay from harbor to storage silos.