Martin Pilát

Orcid: 0000-0003-1239-1566

According to our database1, Martin Pilát authored at least 53 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
ProMap: Product Mapping Datasets.
Proceedings of the Advances in Information Retrieval, 2024

2023
ProMap: Datasets for Product Mapping in E-commerce.
CoRR, 2023

2022
Planning and acting in dynamic environments: identifying and avoiding dangerous situations.
J. Exp. Theor. Artif. Intell., 2022

Implementing and evaluating parallel evolutionary algorithms in modern GPU computing libraries.
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.
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.
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

Beating White-Box Defenses with Black-Box Attacks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Training Electric Vehicle Charging Controllers with Imitation Learning.
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.
Int. J. Artif. Intell. Tools, 2020

Planning and Acting with Non-Deterministic Events: Navigating between Safe States.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Composing Multi-Instrumental Music with Recurrent Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Using Local Convolutional Units to Defend Against Adversarial Examples.
Proceedings of the International Joint Conference on Neural Networks, 2019

Compiling Planning Problems with Non-deterministic Events into FOND Planning.
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.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evolving Ensembles of Traffic Lights Controllers.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Online Parallel Portfolio Selection with Heterogeneous Island Model.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Heterogeneous island model with re-planning of methods.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Evolving Controllers for Electric Vehicle Charging.
Proceedings of the Applications of Evolutionary Computation, 2018

2017
Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming.
Int. J. Artif. Intell. Tools, 2017

Unsupervised and Supervised Activity Analysis of Drone Sensor Data.
Proceedings of the Applied Computer Sciences in Engineering, 2017

Multi-objective evolution of machine learning workflows.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Towards a Safer Planning and Execution Concept.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Parallel evolutionary algorithm with interleaving generations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Feature Extraction for Surrogate Models in Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

General tuning of weights in MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Multi-Objective Genetic Programming for Dataset Similarity Induction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Evolving Workflow Graphs Using Typed Genetic Programming.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Generating Workflow Graphs Using Typed Genetic Programming.
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.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Incorporating User Preferences in MOEA/D through the Coevolution of Weights.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Co-evolutionary genetic programming for dataset similarity induction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Hypervolume-based local search in multi-objective evolutionary optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Hybrid Multi-Agent System for Metalearning in Data Mining.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Aggregate meta-models for evolutionary multiobjective and many-objective optimization.
Neurocomputing, 2013

Multi-objectivization and Surrogate Modelling for Neural Network Hyper-parameters Tuning.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

Multiobjectivization for classifier parameter tuning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Surrogate model selection for evolutionary multiobjective optimization.
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.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms.
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.
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.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An evolutionary algorithm for 2D semi-guillotinable circular saw cutting.
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.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Local Meta-models for ASM-MOMA.
Proceedings of the Bio-Inspired Computing and Applications, 2011

Meta Learning in Multi-agent Systems for Data Mining.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

Improving many-objective optimizers with aggregate meta-models.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Combining multiobjective and single-objective genetic algorithms in heterogeneous island model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010


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