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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
The Geometry 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.
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
The Geometry 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.