Martin Pilát

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 30

Top Topics

Genetic Programming

Planning Problems

Electric Vehicle Charging

Evolutionary Algorithm

Top Venues

Publications

Katerina Macková, Martin Pilát
ProMap: Product Mapping Datasets. ECIR (2) (2024)
Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter
Surprisingly Strong Performance Prediction with Neural Graph Features. CoRR (2024)
Katerina Macková, Martin Pilát
ProMap: Datasets for Product Mapping in E-commerce. CoRR (2023)
Lukás Chrpa, Martin Pilát, Jakub Gemrot
Planning and acting in dynamic environments: identifying and avoiding dangerous situations. J. Exp. Theor. Artif. Intell. 34 (6) (2022)
Patrik Valkovic, Martin Pilát
Implementing and evaluating parallel evolutionary algorithms in modern GPU computing libraries. GECCO Companion (2022)
Martin Pilát, Gabriela Suchopárová
Using graph neural networks as surrogate models in genetic programming. GECCO Companion (2022)
Lukás Chrpa, Martin Pilát, Jakub Med
On Eventual Applicability of Plans in Dynamic Environments with Cyclic Phenomena. KR (2021)
Martin Pilát
Training Electric Vehicle Charging Controllers with Imitation Learning. ICTAI (2021)
Vera Kumová, Martin Pilát
Beating White-Box Defenses with Black-Box Attacks. IJCNN (2021)
Martin Pilát
Training Electric Vehicle Charging Controllers with Imitation Learning. CoRR (2021)
Lukás Chrpa, Jakub Gemrot, Martin Pilát
Planning and Acting with Non-Deterministic Events: Navigating between Safe States. AAAI (2020)
Stepán Balcar, Martin Pilát
Heterogeneous Island Models and Their Application to Recommender Systems and Electric Vehicle Charging. Int. J. Artif. Intell. Tools 29 (03n04) (2020)
Lukás Chrpa, Martin Pilát, Jakub Gemrot
Compiling Planning Problems with Non-deterministic Events into FOND Planning. RCRA/RiCeRcA@AI*IA (2019)
David Samuel, Martin Pilát
Composing Multi-Instrumental Music with Recurrent Neural Networks. IJCNN (2019)
Matej Kocián, Martin Pilát
Using Local Convolutional Units to Defend Against Adversarial Examples. IJCNN (2019)
Stepán Balcar, Martin Pilát
Online Parallel Portfolio Selection with Heterogeneous Island Model. CoRR (2018)
Martin Pilát
Controlling the Charging of Electric Vehicles with Neural Networks. CoRR (2018)
Martin Pilát
Controlling the Charging of Electric Vehicles with Neural Networks. IJCNN (2018)
Stepán Balcar, Martin Pilát
Online Parallel Portfolio Selection with Heterogeneous Island Model. ICTAI (2018)
Stepán Balcar, Martin Pilát
Heterogeneous island model with re-planning of methods. GECCO (Companion) (2018)
Martin Pilát
Evolving Ensembles of Traffic Lights Controllers. ICTAI (2018)
Martin Pilát
Evolving Controllers for Electric Vehicle Charging. EvoApplications (2018)
Martin Pilát, Roman Neruda
Parallel evolutionary algorithm with interleaving generations. GECCO (2017)
Roman Neruda, Martin Pilát, Josef Moudrík
Unsupervised and Supervised Activity Analysis of Drone Sensor Data. WEA (2017)
Tomás Kren, Martin Pilát, Roman Neruda
Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming. Int. J. Artif. Intell. Tools 26 (5) (2017)
Lukás Chrpa, Jakub Gemrot, Martin Pilát
Towards a Safer Planning and Execution Concept. ICTAI (2017)
Tomás Kren, Martin Pilát, Roman Neruda
Multi-objective evolution of machine learning workflows. SSCI (2017)
Martin Pilát, Tomás Kren, Roman Neruda
Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming. ICTAI (2016)
Martin Pilát, Roman Neruda
General tuning of weights in MOEA/D. CEC (2016)
Martin Pilát, Roman Neruda
Feature Extraction for Surrogate Models in Genetic Programming. PPSN (2016)
Martin Pilát, Roman Neruda
Incorporating User Preferences in MOEA/D through the Coevolution of Weights. GECCO (2015)
Tomás Kren, Martin Pilát, Klára Pesková, Roman Neruda
Generating Workflow Graphs Using Typed Genetic Programming. MetaSel@PKDD/ECML (2015)
Martin Pilát, Roman Neruda
Hypervolume-Based Surrogate Model for MO-CMA-ES. ICTAI (2015)
Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda
Multi-Objective Genetic Programming for Dataset Similarity Induction. SSCI (2015)
Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda
Co-evolutionary genetic programming for dataset similarity induction. CEC (2015)
Toma Ken, Martin Pilát, Roman Neruda
Evolving Workflow Graphs Using Typed Genetic Programming. SSCI (2015)
Martin Pilát, Roman Neruda
The effect of different local search algorithms on the performance of multi-objective optimizers. IEEE Congress on Evolutionary Computation (2014)
Martin Pilát, Roman Neruda
Hypervolume-based local search in multi-objective evolutionary optimization. GECCO (2014)
Klára Pesková, Jakub Smíd, Martin Pilát, Ondrej Kazík, Roman Neruda
Hybrid Multi-Agent System for Metalearning in Data Mining. MetaSel@ECAI (2014)
Martin Pilát, Roman Neruda
Multi-objectivization and Surrogate Modelling for Neural Network Hyper-parameters Tuning. ICIC (3) (2013)
Martin Pilát, Roman Neruda
Multiobjectivization for classifier parameter tuning. GECCO (Companion) (2013)
Martin Pilát, Roman Neruda
Surrogate model selection for evolutionary multiobjective optimization. IEEE Congress on Evolutionary Computation (2013)
Martin Pilát, Roman Neruda
Aggregate meta-models for evolutionary multiobjective and many-objective optimization. Neurocomputing 116 (2013)
Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation. ICMLA (2) (2012)
Martin Pilát, Roman Neruda
An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization. IEEE Congress on Evolutionary Computation (2012)
Martin Pilát, Roman Neruda
Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms. ICMLA (1) (2012)
Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results. IAT (2012)
Stepán Balcar, Martin Pilát, Roman Neruda
An evolutionary algorithm for 2D semi-guillotinable circular saw cutting. IEEE Congress on Evolutionary Computation (2012)
Martin Pilát, Roman Neruda
A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection. ICTAI (2012)
Martin Pilát, Roman Neruda
A surrogate multiobjective evolutionary strategy with local search and pre-selection. GECCO (Companion) (2012)
Martin Pilát, Roman Neruda
Local Meta-models for ASM-MOMA. ICIC (1) (2011)
Martin Pilát, Roman Neruda
LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model. GECCO (Companion) (2011)
Martin Pilát, Roman Neruda
Local Meta-models for ASM-MOMA. ICIC (3) (2011)
Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System. ICMLA (2) (2011)
Martin Pilát, Roman Neruda
Improving many-objective optimizers with aggregate meta-models. HIS (2011)
Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
Meta Learning in Multi-agent Systems for Data Mining. IAT (2011)
Martin Pilát, Roman Neruda
ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model. IEEE Congress on Evolutionary Computation (2011)
Martin Pilát, Roman Neruda
Combining multiobjective and single-objective genetic algorithms in heterogeneous island model. IEEE Congress on Evolutionary Computation (2010)