Martin Pilát

According to our database, Martin Pilát authored at least 54 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Surprisingly Strong Performance Prediction with Neural Graph Features.

Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ProMap: Product Mapping Datasets.

Katerina Macková, Martin Pilát

Proceedings of the Advances in Information Retrieval, 2024

2023

ProMap: Datasets for Product Mapping in E-commerce.

Katerina Macková, Martin Pilát

CoRR, 2023

2022

Planning and acting in dynamic environments: identifying and avoiding dangerous situations.

Lukás Chrpa, Martin Pilát, Jakub Gemrot

J. Exp. Theor. Artif. Intell., 2022

Implementing and evaluating parallel evolutionary algorithms in modern GPU computing libraries.

Patrik Valkovic, Martin Pilát

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Using graph neural networks as surrogate models in genetic programming.

Martin Pilát, Gabriela Suchopárová

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

On Eventual Applicability of Plans in Dynamic Environments with Cyclic Phenomena.

Lukás Chrpa, Martin Pilát, Jakub Med

Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

Beating White-Box Defenses with Black-Box Attacks.

Vera Kumová, Martin Pilát

Proceedings of the International Joint Conference on Neural Networks, 2021

Training Electric Vehicle Charging Controllers with Imitation Learning.

Martin Pilát

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Heterogeneous Island Models and Their Application to Recommender Systems and Electric Vehicle Charging.

Stepán Balcar, Martin Pilát

Int. J. Artif. Intell. Tools, 2020

Planning and Acting with Non-Deterministic Events: Navigating between Safe States.

Lukás Chrpa, Jakub Gemrot, Martin Pilát

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Composing Multi-Instrumental Music with Recurrent Neural Networks.

David Samuel, Martin Pilát

Proceedings of the International Joint Conference on Neural Networks, 2019

Using Local Convolutional Units to Defend Against Adversarial Examples.

Matej Kocián, Martin Pilát

Proceedings of the International Joint Conference on Neural Networks, 2019

Compiling Planning Problems with Non-deterministic Events into FOND Planning.

Lukás Chrpa, Martin Pilát, Jakub Gemrot

Proceedings of the Joint Proceedings of the RCRA International Workshop and of the RCRA Incontri e Confronti Workshop co-located with the 18th International Conference of the Italian Association for Artificial Intelligence (AIIA 2019), 2019

2018

Controlling the Charging of Electric Vehicles with Neural Networks.

Martin Pilát

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evolving Ensembles of Traffic Lights Controllers.

Martin Pilát

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Online Parallel Portfolio Selection with Heterogeneous Island Model.

Stepán Balcar, Martin Pilát

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Heterogeneous island model with re-planning of methods.

Stepán Balcar, Martin Pilát

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Evolving Controllers for Electric Vehicle Charging.

Martin Pilát

Proceedings of the Applications of Evolutionary Computation, 2018

2017

Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming.

Tomás Kren, Martin Pilát, Roman Neruda

Int. J. Artif. Intell. Tools, 2017

Unsupervised and Supervised Activity Analysis of Drone Sensor Data.

Roman Neruda, Martin Pilát, Josef Moudrík

Proceedings of the Applied Computer Sciences in Engineering, 2017

Multi-objective evolution of machine learning workflows.

Tomás Kren, Martin Pilát, Roman Neruda

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Towards a Safer Planning and Execution Concept.

Lukás Chrpa, Jakub Gemrot, Martin Pilát

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Parallel evolutionary algorithm with interleaving generations.

Martin Pilát, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Feature Extraction for Surrogate Models in Genetic Programming.

Martin Pilát, Roman Neruda

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming.

Martin Pilát, Tomás Kren, Roman Neruda

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

General tuning of weights in MOEA/D.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Multi-Objective Genetic Programming for Dataset Similarity Induction.

Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Evolving Workflow Graphs Using Typed Genetic Programming.

Toma Ken, Martin Pilát, Roman Neruda

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Generating Workflow Graphs Using Typed Genetic Programming.

Tomás Kren, Martin Pilát, Klára Pesková, Roman Neruda

Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Hypervolume-Based Surrogate Model for MO-CMA-ES.

Martin Pilát, Roman Neruda

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Incorporating User Preferences in MOEA/D through the Coevolution of Weights.

Martin Pilát, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Co-evolutionary genetic programming for dataset similarity induction.

Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Hypervolume-based local search in multi-objective evolutionary optimization.

Martin Pilát, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Hybrid Multi-Agent System for Metalearning in Data Mining.

Klára Pesková, Jakub Smíd, Martin Pilát, Ondrej Kazík, Roman Neruda

Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

The effect of different local search algorithms on the performance of multi-objective optimizers.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Aggregate meta-models for evolutionary multiobjective and many-objective optimization.

Martin Pilát, Roman Neruda

Neurocomputing, 2013

Multi-objectivization and Surrogate Modelling for Neural Network Hyper-parameters Tuning.

Martin Pilát, Roman Neruda

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

Multiobjectivization for classifier parameter tuning.

Martin Pilát, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Surrogate model selection for evolutionary multiobjective optimization.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection.

Martin Pilát, Roman Neruda

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms.

Martin Pilát, Roman Neruda

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation.

Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results.

Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

A surrogate multiobjective evolutionary strategy with local search and pre-selection.

Martin Pilát, Roman Neruda

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An evolutionary algorithm for 2D semi-guillotinable circular saw cutting.

Stepán Balcar, Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System.

Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Local Meta-models for ASM-MOMA.

Martin Pilát, Roman Neruda

Proceedings of the Bio-Inspired Computing and Applications, 2011

Meta Learning in Multi-agent Systems for Data Mining.

Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda

Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

Improving many-objective optimizers with aggregate meta-models.

Martin Pilát, Roman Neruda

Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model.

Martin Pilát, Roman Neruda

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Combining multiobjective and single-objective genetic algorithms in heterogeneous island model.

Martin Pilát, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2010