• Universal Learning Machine with Genetic Programming
  • New Designs of k-means Clustering and Crossover Operator for Solving Traveling Salesman Problems using Evolutionary Algorithms
  • A Comparative Study of Evolutionary Methods for Feature Selection in Sentiment Analysis
  • Distributed Multi-objective Particle Swarm Optimization using Time-delayed Virtual Global Best Method
  • Applying Feature Selection to Rule Evolution for Dynamic Flexible Job Shop Scheduling
  • A Decomposition-based Approach for Constrained Large-Scale Global Optimization
  • Evolutionary Techniques in Lattice Sieving Algorithms
  • Enhanced Particle Swarm Optimisation and Multi Objective Optimization for the Orchestration of Edge Cloud Clusters
  • A Regression-like Classification System for Geometric Semantic Genetic Programming
  • Online Encoder-decoder Anomaly Detection using Encoder-decoder Architecture with Novel Self-configuring Neural Networks & Pure Linear Genetic Programming for Embedded Systems
  • A Winning Score-based Evolutionary Process for Multi-and Many-objective Peptide Optimization
  • Using Population-based Metaheuristics and Trend Representative Testing to Compose Strategies for Market Timing
  • Two New Mutation Techniques for Cartesian Genetic Programming
  • On the Time Complexity of Simple Cartesian Genetic Programming
  • Genetic Algorithm with Success History based Parameter Adaptation
  • Generalized Lehmer Mean for Success History based Adaptive Differential Evolution
  • A Multiobjective Artificial Bee Colony Algorithm based on Decomposition
  • ME2: A Scalable Modular Meta-heuristic for Multi-modal Multi-dimension Optimization
  • Fireworks Algorithm versus Plant Propagation Algorithm
  • Playing Iterated Rock-Paper-Scissors with an Evolutionary Algorithm
  • Modified Differential Evolution in the Load Balancing Problem for the iFDAQ of the COMPASS Experiment at CERN
  • Hybrid Cuckoo Search and Harmony Search Algorithm and Its Modifications for the Calibration of Groundwater Flow Models
  • An Intelligent Design Explorer for New Violin Shapes
  • Speeding Up Evaluation of Structures for the Angry Birds Game
  • Intellectual Execution Scheme of Iterative Computational Models based on Symbiotic Interaction with Application for Urban Mobility Modelling
  • Restart Operator for Optimization Heuristics in Solving Linear Dynamical System Parameter Identification Problem
  • Tuning Parameters of Differential Evolution: Self-adaptation, Parallel Islands, or Co-operation
  • Risk-sensitive Markov Decision Processes with Risk Constraints of Coherent Risk Measures in Fuzzy and Stochastic Environment
  • A Novel Method for Evaluating Records from a Dataset using Interval Type-2 Fuzzy Sets
  • Fuzzy-Based Recommendation System for University Major Selection
  • A Synergistic Approach to Enhance the Accuracy-interpretability Trade-off of the NECLASS Classifier for Skewed Data Distribution
  • Correlation Coefficient of Modal Level Operators: An Application to Medical Diagnosis
  • Fuzzy–rough Fuzzification in General FL Classifiers
  • Interpreting Xor Intuitionistic Fuzzy Connectives from Quantum Fuzzy Computing
  • Uncertainty and Fuzzy Modeling in Human-robot Navigation
  • The Real Transform: Computing Positive Solutions of Fuzzy Polynomial Systems
  • Evolutionary Fuzzy Logic-based Model Design in Predicting Coronary Heart Disease and Its Progression
  • A Fuzzy Logic Programming Environment for Recycling Facility Selection
  • Semi-automatic Segmentation of MRI Brain Metastases Combining Support Vector Machine and Morphological Operators
  • Neural Models for Benchmarking of Truck Driver Fuel Economy Performance
  • Neural Sequence Modeling in Physical Language Understanding
  • On the Design of a Heuristic based on Artificial Neural Networks for the Near Optimal Solving of the (N2–1)-puzzle
  • Learning Method of Recurrent Spiking Neural Networks to Realize Various Firing Patterns using Particle Swarm Optimization
  • Vision based Indoor Obstacle Avoidance using a Deep Convolutional Neural Network
  • Risk-averse Distributional Reinforcement Learning: A CVaR Optimization Approach
  • Unsupervised Detection of Sub-pixel Objects in Hyper-spectral Images via Diffusion Bases
  • Demand Forecasting using Artificial Neuronal Networks and Time Series: Application to a French Furniture Manufacturer Case Study
  • Active Recall Networks for Multiperspectivity Learning through Shared Latent Space Optimization
  • Prediction and Classification of Heart Disease using AML and Power BI
  • A Low-power, Reachable, Wearable and Intelligent IoT Device for Animal Activity Monitoring
  • Challenging the Intuition about Memory and Computation in Theories of Cognition
  • Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI
  • A Sequential Heteroscedastic Probabilistic Neural Network for Online Classification
  • Multitask Learning or Transfer Learning? Application to Cancer Detection
  • Multi-dataset Training for Medical Image Segmentation as a Service
  • Identify Theft Detection on e-Banking Account Opening
  • Hybrid Kriging-assisted Level Set Method for Structural Topology Optimization
  • Extended Possibilistic Fuzzification for Classification
  • Stochastic Information Granules Extraction for Graph Embedding and Classification
  • Calibration Techniques for Binary Classification Problems: A Comparative Analysis
  • Exact and Approximate Rule Extraction from Neural Networks with Boolean Features
  • Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks
  • Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices
  • Minimization of Attack Risk with Bayesian Detection Criteria
  • A Feasibility Study of a Method for Identification and Modelling of Cybersecurity Risks in the Context of Smart Power Grids
  • Real-time Processing of Rule-based Complex Event Queries for Tactical Moving Objects
  • The Time Operator of Reals
  • An Empirical Research on the Investment Strategy of Stock Market based on Deep Reinforcement Learning model
  • Using the Ornstein-Uhlenbeck Process for Random Exploration
  • An Analysis of Three Legal Citation Networks Derived from Austrian Supreme Court Decisions
  • A Generalized Notion of Time for Modeling Temporal Networks
  • A Social Inspired Broker for M2M Protocols
  • IoT Forensics: A State-of-the-Art Review, Challenges and Future Directions
  • How Complex is to Solve a Hard Problem with Accepting Splicing Systems