Martin Pilát - RankMe

64 papers A* 3A 4B 21C 1Journal 11Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Extended ProMap datasets for product mapping. Electron. Commer. Res. Katerina Macková, Martin Pilát
2025	—	`conf`	Transferrable Surrogates in Expressive Neural Architecture Search Spaces. AutoML Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson
2025	J	`jnl`	Transferrable Surrogates in Expressive Neural Architecture Search Spaces. CoRR Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson
2024	B	`conf`	Enhancing Multi-Agent Robustness: Addressing the Off-Diagonal Problem with Population-Based Training. ICTAI Petra Vysusilová, Premysl Basta, Martin Pilát
2024	—	`conf`	ProMap: Product Mapping Datasets. ECIR (2) Katerina Macková, Martin Pilát
2024	A*	`conf`	Surprisingly Strong Performance Prediction with Neural Graph Features. ICML Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter
2024	J	`jnl`	Surprisingly Strong Performance Prediction with Neural Graph Features. CoRR Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter
2023	—	`conf`	Improving Tiled Evolutionary Adversarial Attack. PKDD/ECML Workshops (2) Vera Cervícková, Martin Pilát
2023	J	`jnl`	ProMap: Datasets for Product Mapping in E-commerce. CoRR Katerina Macková, Martin Pilát
2022	—	`conf`	Implementing and evaluating parallel evolutionary algorithms in modern GPU computing libraries. GECCO Companion Patrik Valkovic, Martin Pilát
2022	J	`jnl`	Planning and acting in dynamic environments: identifying and avoiding dangerous situations. J. Exp. Theor. Artif. Intell. Lukás Chrpa, Martin Pilát, Jakub Gemrot
2022	—	`conf`	Using graph neural networks as surrogate models in genetic programming. GECCO Companion Martin Pilát, Gabriela Suchopárová
2021	B	`conf`	Beating White-Box Defenses with Black-Box Attacks. IJCNN Vera Kumová, Martin Pilát
2021	A*	`conf`	On Eventual Applicability of Plans in Dynamic Environments with Cyclic Phenomena. KR Lukás Chrpa, Martin Pilát, Jakub Med
2021	B	`conf`	Training Electric Vehicle Charging Controllers with Imitation Learning. ICTAI Martin Pilát
2021	J	`jnl`	Training Electric Vehicle Charging Controllers with Imitation Learning. CoRR Martin Pilát
2020	J	`jnl`	Heterogeneous Island Models and Their Application to Recommender Systems and Electric Vehicle Charging. Int. J. Artif. Intell. Tools Stepán Balcar, Martin Pilát
2020	A*	`conf`	Planning and Acting with Non-Deterministic Events: Navigating between Safe States. AAAI Lukás Chrpa, Jakub Gemrot, Martin Pilát
2019	—	`conf`	Compiling Planning Problems with Non-deterministic Events into FOND Planning. RCRA/RiCeRcA@AI*IA Lukás Chrpa, Martin Pilát, Jakub Gemrot
2019	B	`conf`	Composing Multi-Instrumental Music with Recurrent Neural Networks. IJCNN David Samuel, Martin Pilát
2019	B	`conf`	Using Local Convolutional Units to Defend Against Adversarial Examples. IJCNN Matej Kocián, Martin Pilát
2018	B	`conf`	Controlling the Charging of Electric Vehicles with Neural Networks. IJCNN Martin Pilát
2018	J	`jnl`	Controlling the Charging of Electric Vehicles with Neural Networks. CoRR Martin Pilát
2018	B	`conf`	Evolving Controllers for Electric Vehicle Charging. EvoApplications Martin Pilát
2018	B	`conf`	Evolving Ensembles of Traffic Lights Controllers. ICTAI Martin Pilát
2018	—	`conf`	Heterogeneous island model with re-planning of methods. GECCO (Companion) Stepán Balcar, Martin Pilát
2018	B	`conf`	Online Parallel Portfolio Selection with Heterogeneous Island Model. ICTAI Stepán Balcar, Martin Pilát
2018	J	`jnl`	Online Parallel Portfolio Selection with Heterogeneous Island Model. CoRR Stepán Balcar, Martin Pilát
2017	J	`jnl`	Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming. Int. J. Artif. Intell. Tools Tomás Kren, Martin Pilát, Roman Neruda
2017	—	`conf`	Multi-objective evolution of machine learning workflows. SSCI Tomás Kren, Martin Pilát, Roman Neruda
2017	A	`conf`	Parallel evolutionary algorithm with interleaving generations. GECCO Martin Pilát, Roman Neruda
2017	B	`conf`	Towards a Safer Planning and Execution Concept. ICTAI Lukás Chrpa, Jakub Gemrot, Martin Pilát
2017	—	`conf`	Unsupervised and Supervised Activity Analysis of Drone Sensor Data. WEA Roman Neruda, Martin Pilát, Josef Moudrík
2016	B	`conf`	Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming. ICTAI Martin Pilát, Tomás Kren, Roman Neruda
2016	A	`conf`	Feature Extraction for Surrogate Models in Genetic Programming. PPSN Martin Pilát, Roman Neruda
2016	B	`conf`	General tuning of weights in MOEA/D. CEC Martin Pilát, Roman Neruda
2015	B	`conf`	Co-evolutionary genetic programming for dataset similarity induction. CEC Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda
2015	—	`conf`	Evolving Workflow Graphs Using Typed Genetic Programming. SSCI Toma Ken, Martin Pilát, Roman Neruda
2015	—	`conf`	Generating Workflow Graphs Using Typed Genetic Programming. MetaSel@PKDD/ECML Tomás Kren, Martin Pilát, Klára Pesková, Roman Neruda
2015	B	`conf`	Hypervolume-Based Surrogate Model for MO-CMA-ES. ICTAI Martin Pilát, Roman Neruda
2015	A	`conf`	Incorporating User Preferences in MOEA/D through the Coevolution of Weights. GECCO Martin Pilát, Roman Neruda
2015	—	`conf`	Multi-Objective Genetic Programming for Dataset Similarity Induction. SSCI Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda
2014	—	`conf`	Hybrid Multi-Agent System for Metalearning in Data Mining. MetaSel@ECAI Klára Pesková, Jakub Smíd, Martin Pilát, Ondrej Kazík, Roman Neruda
2014	A	`conf`	Hypervolume-based local search in multi-objective evolutionary optimization. GECCO Martin Pilát, Roman Neruda
2014	B	`conf`	The effect of different local search algorithms on the performance of multi-objective optimizers. IEEE Congress on Evolutionary Computation Martin Pilát, Roman Neruda
2013	J	`jnl`	Aggregate meta-models for evolutionary multiobjective and many-objective optimization. Neurocomputing Martin Pilát, Roman Neruda
2013	—	`conf`	Multi-objectivization and Surrogate Modelling for Neural Network Hyper-parameters Tuning. ICIC (3) Martin Pilát, Roman Neruda
2013	—	`conf`	Multiobjectivization for classifier parameter tuning. GECCO (Companion) Martin Pilát, Roman Neruda
2013	B	`conf`	Surrogate model selection for evolutionary multiobjective optimization. IEEE Congress on Evolutionary Computation Martin Pilát, Roman Neruda
2012	—	`conf`	A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results. IAT Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
2012	B	`conf`	A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection. ICTAI Martin Pilát, Roman Neruda
2012	—	`conf`	A surrogate multiobjective evolutionary strategy with local search and pre-selection. GECCO (Companion) Martin Pilát, Roman Neruda
2012	B	`conf`	An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization. IEEE Congress on Evolutionary Computation Martin Pilát, Roman Neruda
2012	B	`conf`	An evolutionary algorithm for 2D semi-guillotinable circular saw cutting. IEEE Congress on Evolutionary Computation Stepán Balcar, Martin Pilát, Roman Neruda
2012	—	`conf`	Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation. ICMLA (2) Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
2012	—	`conf`	Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms. ICMLA (1) Martin Pilát, Roman Neruda
2011	B	`conf`	ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model. IEEE Congress on Evolutionary Computation Martin Pilát, Roman Neruda
2011	—	`conf`	Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System. ICMLA (2) Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
2011	C	`conf`	Improving many-objective optimizers with aggregate meta-models. HIS Martin Pilát, Roman Neruda
2011	—	`conf`	LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model. GECCO (Companion) Martin Pilát, Roman Neruda
2011	—	`conf`	Local Meta-models for ASM-MOMA. ICIC (3) Martin Pilát, Roman Neruda
2011	—	`conf`	Local Meta-models for ASM-MOMA. ICIC (1) Martin Pilát, Roman Neruda
2011	—	`conf`	Meta Learning in Multi-agent Systems for Data Mining. IAT Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda
2010	B	`conf`	Combining multiobjective and single-objective genetic algorithms in heterogeneous island model. IEEE Congress on Evolutionary Computation Martin Pilát, Roman Neruda