Artificial Intelligence and Soft Computing

Neural Networks and Their Applications .- A novel approach to the GQR algorithm for neural networks training.- On Speeding Up the Levenberg-Marquardt Learning Algorithm.- Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes.- Multi-Agent Deep Q-Network in Voxel-based Automated Electrical Routing.- Evaluation of the importance of optimizer selection in streaming neural network learning.- Training Neural Tensor Networks With Corrupted Relations.- Application of Monte Carlo Algorithms with Neural Network-Based Intermediate Area to the Thousand Card Game.- Learning representations by crystallized back-propagating errors.- Fuzzy Hyperplane based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Problem.- Dynamic Hand Gesture Recognition for Human-Robot Collaborative Assembly.- Transfer of knowledge among instruments in automatic music transcription.- TheGeometry of Decision Borders Between Affine Space Prototypes for Nearest Prototype Classifiers.- An Interpretable Two-Layered Neural Network Structure - Based on Component-wise Reasoning.- Viscosity Estimation of Water-PVP Solutions from Droplets using Artificial Neural Networks and Image Processing.- Pruning convolutional filters via reinforcement learning with entropy minimization.- Unsupervised Representation Learning: Target Regularization for Cross-domain Sentiment Classification.- Decentralized federated learning loop with constrained trust mechanism.- Learning Activation Functions for Adversarial Attack Resilience in CNNs.- Federated Learning for Human Activity Recognition on the MHealth Dataset.- Image Classification through Graph Neural Networks and Random Walks.- Bus Route Classification for Rural Areas using Graph Convolutional Networks.- Expansion rate parametrization and K-Fold inference with U-Net neural networks for multiclass medical image segmentation.- Transfer learning from ImageNet to the domain of pigmented nevi.- Towards Detecting Freezing of Gait Events using Wearable Sensors and Genetic Programming.- CNN-LSTM Optimized by Genetic Algorithm in Time Series Forecasting: An Automatic Method to use Deep Learning.- Authorship Attribution of Literary Texts using Named Entity Masking and MaxLogit-based Sequence Classification for Varying Text Lengths.- Gates Are Not What You Need in RNNs.- Generating Image Captions in Polish using Transformer Architecture.- Evolutionary Algorithms and Their Applications .- An hybrid NSGA-II algorithm for the Bi-objective Mobile Mammography Unit Routing Problem.- Controlled Refresh of the Population in Differential Evolution for Real-World Problems.- A new Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism.- Data Mining Car Configurator Clickstream Data to Identify Potential Consumers: A Genetic Algorithm Approach.- Multi-population algorithm using surrogate models and different training plans.- Multi-population-based algorithms with different migration topologies and their improvement by population re-initialization.- Machine Learning Assisted Interactive Multi-Objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects ..- Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems.- Evolutionary-based generative design for electric transmission towers.- Enhanced Grey Wolf Optimizer.- Artificial Intelligence in Modeling and Simulation .- Security Intelligence for real-time security monitoring software.- Examine Effects of Class Imbalance on Conditional GAN Training.- Stochastic Model for Wildfire Simulation based on the characteristics of the Brazilian Cerrado.- Test Case Generator for Problems of Complete Coverage and Path Planning for Emergency Response by UAVs.- Application of artificial neural networks in electric arc furnace modeling.- Profiling users of the online store in terms of price sensitivity ..- Learning Bezier-Durrmeyer type descriptors for classifying curves - preliminary studies.- Prediction accuracy of direction changes with ELM, MLP and LSTM on the example of exchange rates.- Child tracking and Prediction of Violence on Children in social media using Natural Language Processing and Machine Learning.- Adequate basis for the data-driven and machine-learning-based identification.