| 2019 | Universal Learning Machine with Genetic Programming. | Alessandro Re, Leonardo Vanneschi, Mauro Castelli |
| 2019 | Hybrid Kriging-assisted Level Set Method for Structural Topology Optimization. | Elena Raponi, Mariusz Bujny, Markus Olhofer, Simonetta Boria, Fabian Duddeck |
| 2019 | A Multiobjective Artificial Bee Colony Algorithm based on Decomposition. | Guang Peng, Zhihao Shang, Katinka Wolter |
| 2019 | Uncertainty and Fuzzy Modeling in Human-robot Navigation. | Rainer Palm, Achim J. Lilienthal |
| 2019 | How Theoretical Analyses Can Impact Practical Applications of Evolutionary Computation. | Pietro S. Oliveto |
| 2019 | Multitask Learning or Transfer Learning? Application to Cancer Detection. | Stephen Obonyo, Daniel Ruiru |
| 2019 | Extended Possibilistic Fuzzification for Classification. | Robert K. Nowicki, Janusz T. Starczewski, Rafal Grycuk |
| 2019 | Using Population-based Metaheuristics and Trend Representative Testing to Compose Strategies for Market Timing. | Ismail Mohamed, Fernando E. B. Otero |
| 2019 | Exact and Approximate Rule Extraction from Neural Networks with Boolean Features. | Fawaz A. Mereani, Jacob M. Howe |
| 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 | Calibration Techniques for Binary Classification Problems: A Comparative Analysis. | Alessio Martino, Enrico De Santis, Luca Baldini, Antonello Rizzi |
| 2019 | A Sequential Heteroscedastic Probabilistic Neural Network for Online Classification. | Ali Mahmoudi, Reza Askari Moghadam, Kurosh Madani |
| 2019 | Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices. | Francisco Luna-Perejon, Javier Civit-Masot, Luis Muoz-Saavedra, Lourdes Duran-Lopez, Isabel Amaya-Rodriguez, Juan Pedro Dominguez-Morales, Saturnino Vicente Diaz, Alejandro Linares-Barranco, Antn Civit Balcells, Manuel Jesus Domnguez-Morales |
| 2019 | Evolutionary Techniques in Lattice Sieving Algorithms. | Thijs Laarhoven |
| 2019 | Learning Method of Recurrent Spiking Neural Networks to Realize Various Firing Patterns using Particle Swarm Optimization. | Yasuaki Kuroe, Hitoshi Iima, Yutaka Maeda |
| 2019 | Vision based Indoor Obstacle Avoidance using a Deep Convolutional Neural Network. | Mohammad O. Khan, Gary B. Parker |
| 2019 | Challenging the Intuition about Memory and Computation in Theories of Cognition. | Jochen Kerdels, Gabriele Peters |
| 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 Sderstam, Christian Magnusson, Mattias Almljung |
| 2019 | On the Time Complexity of Simple Cartesian Genetic Programming. | Roman Kalkreuth, Andre Droschinsky |
| 2019 | Two New Mutation Techniques for Cartesian Genetic Programming. | Roman Kalkreuth |
| 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 | From Machine Learning to Explainable AI and Beyond. | Andreas Holzinger |
| 2019 | Neural Models for Benchmarking of Truck Driver Fuel Economy Performance. | Alwyn J. Hoffman |
| 2019 | Semi-automatic Segmentation of MRI Brain Metastases Combining Support Vector Machine and Morphological Operators. | Gloria Gonella, Elisabetta Binaghi, Paola Nocera, Cinzia Mordacchini |
| 2019 | A Comparative Study of Evolutionary Methods for Feature Selection in Sentiment Analysis. | Shikhar Garg, Sukriti Verma |