| 2019 | A Comparative Study of Evolutionary Methods for Feature Selection in Sentiment Analysis. Shikhar Garg, Sukriti Verma |
| 2019 | A Decomposition-based Approach for Constrained Large-Scale Global Optimization. Evgenii Sopov, Alexey Vakhnin |
| 2019 | A Fuzzy Logic Programming Environment for Recycling Facility Selection. Esra Çakir, H. Ziya Ulukan |
| 2019 | A Low-power, Reachable, Wearable and Intelligent IoT Device for Animal Activity Monitoring. Lourdes Duran-Lopez, Daniel Gutierrez-Galan, Juan Pedro Dominguez-Morales, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Angel Jiménez-Fernandez, Daniel Cascado Caballero, Alejandro Linares-Barranco |
| 2019 | A Multiobjective Artificial Bee Colony Algorithm based on Decomposition. Guang Peng, Zhihao Shang, Katinka Wolter |
| 2019 | A Novel Method for Evaluating Records from a Dataset using Interval Type-2 Fuzzy Sets. Miljan Vucetic, Aleksej Makarov |
| 2019 | A Regression-like Classification System for Geometric Semantic Genetic Programming. Illya Bakurov, Mauro Castelli, Francesco Fontanella, Leonardo Vanneschi |
| 2019 | A Sequential Heteroscedastic Probabilistic Neural Network for Online Classification. Ali Mahmoudi, Reza Askari Moghadam, Kurosh Madani |
| 2019 | A Synergistic Approach to Enhance the Accuracy-interpretability Trade-off of the NECLASS Classifier for Skewed Data Distribution. Jamileh Yousefi, Andrew Hamilton-Wright, Charlie Obimbo |
| 2019 | A Winning Score-based Evolutionary Process for Multi-and Many-objective Peptide Optimization. Susanne Rosenthal, Markus Borschbach |
| 2019 | Active Recall Networks for Multiperspectivity Learning through Shared Latent Space Optimization. Theus H. Aspiras, Ruixu Liu, Vijayan K. Asari |
| 2019 | An Intelligent Design Explorer for New Violin Shapes. Hao Wang, Lutz Hamel |
| 2019 | Applying Feature Selection to Rule Evolution for Dynamic Flexible Job Shop Scheduling. Yahia Zakaria, Ahmed BahaaElDin, Mayada Hadhoud |
| 2019 | Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks. Lourdes Duran-Lopez, Juan Pedro Dominguez-Morales, Isabel Amaya-Rodriguez, Francisco Luna-Perejon, Javier Civit-Masot, Saturnino Vicente Diaz, Alejandro Linares-Barranco |
| 2019 | Calibration Techniques for Binary Classification Problems: A Comparative Analysis. Alessio Martino, Enrico De Santis, Luca Baldini, Antonello Rizzi |
| 2019 | Challenging the Intuition about Memory and Computation in Theories of Cognition. Jochen Kerdels, Gabriele Peters |
| 2019 | Correlation Coefficient of Modal Level Operators: An Application to Medical Diagnosis. Alex Bertei, Renata H. S. Reiser, Luciana Foss |
| 2019 | Demand Forecasting using Artificial Neuronal Networks and Time Series: Application to a French Furniture Manufacturer Case Study. Julie Bibaud-Alves, Philippe Thomas, Hind Bril El Haouzi |
| 2019 | Distributed Multi-objective Particle Swarm Optimization using Time-delayed Virtual Global Best Method. Yuji Sato, Shota Ueno, Toshio Hirotsu |
| 2019 | Enhanced Particle Swarm Optimisation and Multi Objective Optimization for the Orchestration of Edge Cloud Clusters. Hafiz Faheem Shahid, Claus Pahl |
| 2019 | Evolutionary Fuzzy Logic-based Model Design in Predicting Coronary Heart Disease and Its Progression. Christina Brester, Vladimir Stanovov, Ari Voutilainen, Tomi-Pekka Tuomainen, Eugene Semenkin, Mikko Kolehmainen |
| 2019 | Evolutionary Techniques in Lattice Sieving Algorithms. Thijs Laarhoven |
| 2019 | Exact and Approximate Rule Extraction from Neural Networks with Boolean Features. Fawaz A. Mereani, Jacob M. Howe |
| 2019 | Extended Possibilistic Fuzzification for Classification. Robert K. Nowicki, Janusz T. Starczewski, Rafal Grycuk |
| 2019 | Fireworks Algorithm versus Plant Propagation Algorithm. Wouter Vrielink, Daan van den Berg |
| 2019 | From Machine Learning to Explainable AI and Beyond. Andreas Holzinger |
| 2019 | Fuzzy-Based Recommendation System for University Major Selection. Shaima Alghamdi, Nada Alzhrani, Haneen Algethami |
| 2019 | Fuzzy-rough Fuzzification in General FL Classifiers. Janusz T. Starczewski, Robert K. Nowicki, Katarzyna Nieszporek |
| 2019 | Generalized Lehmer Mean for Success History based Adaptive Differential Evolution. Vladimir Stanovov, Shakhnaz Akhmedova, Eugene Semenkin, Maria Semenkina |
| 2019 | Genetic Algorithm with Success History based Parameter Adaptation. Vladimir Stanovov, Shakhnaz Akhmedova, Eugene Semenkin |
| 2019 | Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI. Isabel Amaya-Rodriguez, Lourdes Duran-Lopez, Francisco Luna-Perejon, Javier Civit-Masot, Juan Pedro Dominguez-Morales, Saturnino Vicente, Antón Civit, Daniel Cascado Caballero, Alejandro Linares-Barranco |
| 2019 | How Theoretical Analyses Can Impact Practical Applications of Evolutionary Computation. Pietro S. Oliveto |
| 2019 | Hybrid Cuckoo Search and Harmony Search Algorithm and Its Modifications for the Calibration of Groundwater Flow Models. D. K. Valetov, G. D. Neuvazhaev, V. S. Svitelman, E. A. Saveleva |
| 2019 | Hybrid Kriging-assisted Level Set Method for Structural Topology Optimization. Elena Raponi, Mariusz Bujny, Markus Olhofer, Simonetta Boria, Fabian Duddeck |
| 2019 | Identify Theft Detection on e-Banking Account Opening. Roxane Desrousseaux, Gilles Bernard, Jean-Jacques Mariage |
| 2019 | Intellectual Execution Scheme of Iterative Computational Models based on Symbiotic Interaction with Application for Urban Mobility Modelling. Mikhail Melnik, Denis A. Nasonov, Alexey Liniov |
| 2019 | Interpreting Xor Intuitionistic Fuzzy Connectives from Quantum Fuzzy Computing. Anderson Braga de Avila, Renata Reiser, Maurício L. Pilla, Adenauer C. Yamin |
| 2019 | Learning Method of Recurrent Spiking Neural Networks to Realize Various Firing Patterns using Particle Swarm Optimization. Yasuaki Kuroe, Hitoshi Iima, Yutaka Maeda |
| 2019 | ME2: A Scalable Modular Meta-heuristic for Multi-modal Multi-dimension Optimization. Mohiul Islam, Nawwaf Kharma, Vaibhav Sultan, Xiaojing Yang, Mohamed Mohamed, Kalpesh Sultan |
| 2019 | Modified Differential Evolution in the Load Balancing Problem for the iFDAQ of the COMPASS Experiment at CERN. Ondrej Subrt, Martin Bodlák, Matous Jandek, Vladimír Jarý, Antonín Kveton, Josef Nový, Jan Tomsa, Miroslav Virius |
| 2019 | Multi-dataset Training for Medical Image Segmentation as a Service. Javier Civit-Masot, Francisco Luna-Perejón, Lourdes Duran-Lopez, Juan Pedro Dominguez-Morales, Saturnino Vicente Diaz, Alejandro Linares-Barranco, Antón Civit |
| 2019 | Multitask Learning or Transfer Learning? Application to Cancer Detection. Stephen Obonyo, Daniel Ruiru |
| 2019 | Neural Models for Benchmarking of Truck Driver Fuel Economy Performance. Alwyn J. Hoffman |
| 2019 | Neural Sequence Modeling in Physical Language Understanding. Avi Bleiweiss |
| 2019 | New Designs of k-means Clustering and Crossover Operator for Solving Traveling Salesman Problems using Evolutionary Algorithms. Ismail M. Ali, Daryl Essam, Kathryn Kasmarik |
| 2019 | On the Design of a Heuristic based on Artificial Neural Networks for the Near Optimal Solving of the (N2-1)-puzzle. Vojtech Cahlík, Pavel Surynek |
| 2019 | On the Time Complexity of Simple Cartesian Genetic Programming. Roman Kalkreuth, Andre Droschinsky |
| 2019 | Online Encoder-decoder Anomaly Detection using Encoder-decoder Architecture with Novel Self-configuring Neural Networks & Pure Linear Genetic Programming for Embedded Systems. Gabriele Kasparaviciute, Malin Thelin, Peter Nordin, Per Söderstam, Christian Magnusson, Mattias Almljung |
| 2019 | Playing Iterated Rock-Paper-Scissors with an Evolutionary Algorithm. Rémi Bédard-Couture, Nawwaf Kharma |
| 2019 | Prediction and Classification of Heart Disease using AML and Power BI. Debmalya Chatterjee, Saravanan Chandran |
| 2019 | Proceedings of the 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria, September 17-19, 2019. Juan Julián Merelo Guervós, Jonathan M. Garibaldi, Alejandro Linares-Barranco, Kurosh Madani, Kevin Warwick |
| 2019 | Restart Operator for Optimization Heuristics in Solving Linear Dynamical System Parameter Identification Problem. Ivan Ryzhikov, Christina Brester |
| 2019 | Risk-averse Distributional Reinforcement Learning: A CVaR Optimization Approach. Silvestr Stanko, Karel Macek |
| 2019 | Risk-sensitive Markov Decision Processes with Risk Constraints of Coherent Risk Measures in Fuzzy and Stochastic Environment. Yuji Yoshida |
| 2019 | Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices. Francisco Luna-Perejon, Javier Civit-Masot, Luis Muñoz-Saavedra, Lourdes Duran-Lopez, Isabel Amaya-Rodriguez, Juan Pedro Dominguez-Morales, Saturnino Vicente Diaz, Alejandro Linares-Barranco, Antón Civit Balcells, Manuel Jesus Domínguez-Morales |
| 2019 | Self-organizing Robot Swarms. Marco Dorigo |
| 2019 | Semi-automatic Segmentation of MRI Brain Metastases Combining Support Vector Machine and Morphological Operators. Gloria Gonella, Elisabetta Binaghi, Paola Nocera, Cinzia Mordacchini |
| 2019 | Speeding Up Evaluation of Structures for the Angry Birds Game. Laura Calle, Juan Julián Merelo Guervós, Mario García Valdez, Antonio Mora García |
| 2019 | Stochastic Information Granules Extraction for Graph Embedding and Classification. Luca Baldini, Alessio Martino, Antonello Rizzi |
| 2019 | Swarm Intelligence in Distributed Systems' Use-cases. Vesna Sesum-Cavic |
| 2019 | The Real Transform: Computing Positive Solutions of Fuzzy Polynomial Systems. Philippe Aubry, Jérémy Marrez, Annick Valibouze |
| 2019 | Tuning Parameters of Differential Evolution: Self-adaptation, Parallel Islands, or Co-operation. Christina Brester, Ivan Ryzhikov |
| 2019 | Two New Mutation Techniques for Cartesian Genetic Programming. Roman Kalkreuth |
| 2019 | Uncertainty and Fuzzy Modeling in Human-robot Navigation. Rainer Palm, Achim J. Lilienthal |
| 2019 | Universal Learning Machine with Genetic Programming. Alessandro Re, Leonardo Vanneschi, Mauro Castelli |
| 2019 | Unsupervised Detection of Sub-pixel Objects in Hyper-spectral Images via Diffusion Bases. Alon Schclar, Amir Averbuch |
| 2019 | Using Population-based Metaheuristics and Trend Representative Testing to Compose Strategies for Market Timing. Ismail Mohamed, Fernando E. B. Otero |
| 2019 | Vision based Indoor Obstacle Avoidance using a Deep Convolutional Neural Network. Mohammad O. Khan, Gary B. Parker |