Jan Drchal

According to our database, Jan Drchal authored at least 20 papers between 2008 and 2024.

Collaborative distances:

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

2024

Pipeline and dataset generation for automated fact-checking in almost any language.

Jan Drchal, Herbert Ullrich, Tomás Mlynár, Václav Moravec

Neural Comput. Appl., October, 2024

2023

CsFEVER and CTKFacts: acquiring Czech data for fact verification.

Herbert Ullrich, Jan Drchal, Martin Rýpar, Hana Vincourová, Václav Moravec

Lang. Resour. Evaluation, December, 2023

2022

WiSM: Windowing Surrogate Model for Evaluation of Curvature-Constrained Tours With Dubins Vehicle.

Jan Drchal, Jan Faigl, Petr Vána

IEEE Trans. Cybern., 2022

Continually trained life-long classification.

Rudolf J. Szadkowski, Jan Drchal, Jan Faigl

Neural Comput. Appl., 2022

CsFEVER and CTKFacts: Czech Datasets for Fact Verification.

Jan Drchal, Herbert Ullrich, Martin Rýpar, Hana Vincourová, Václav Moravec

CoRR, 2022

2020

Fast Sequence Rejection for Multi-Goal Planning with Dubins Vehicle.

Jan Faigl, Petr Vána, Jan Drchal

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Autoencoders Covering Space as a Life-Long Classifier.

Rudolf J. Szadkowski, Jan Drchal, Jan Faigl

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Basic Evaluation Scenarios for Incrementally Trained Classifiers.

Rudolf J. Szadkowski, Jan Drchal, Jan Faigl

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Towards Data-Driven On-Demand Transport.

Malcolm Egan, Jan Drchal, Jan Mrkos, Michal Jakob

EAI Endorsed Trans. Ind. Networks Intell. Syst., 2018

Terrain Classification with Crawling Robot Using Long Short-Term Memory Network.

Rudolf J. Szadkowski, Jan Drchal, Jan Faigl

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2016

VALFRAM: Validation Framework for Activity-Based Models.

Jan Drchal, Michal Certický, Michal Jakob

J. Artif. Soc. Soc. Simul., 2016

Liftago On-Demand Transport Dataset and Market Formation Algorithm Based on Machine Learning.

Jan Mrkos, Jan Drchal, Malcolm Egan, Michal Jakob

CoRR, 2016

2015

Fully agent-based simulation model of multimodal mobility in European cities.

Michal Certický, Jan Drchal, Marek Cuchý, Michal Jakob

Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015

Data Driven Validation Framework for Multi-agent Activity-Based Models.

Jan Drchal, Michal Certický, Michal Jakob

Proceedings of the Multi-Agent-Based Simulation XVI - International Workshop, 2015

2012

Genetic Programming of Augmenting Topologies for Hypercube-Based Indirect Encoding of Artificial Neural Networks.

Jan Drchal, Miroslav Snorek

Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Distance measures for HyperGP with fitness sharing.

Jan Drchal, Miroslav Snorek

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2010

Meta-learning approach to neural network optimization.

Pavel Kordík, Jan Koutník, Jan Drchal, Oleg Kovárík, Miroslav Cepek, Miroslav Snorek

Neural Networks, 2010

2009

Combining Multiple Inputs in HyperNEAT Mobile Agent Controller.

Jan Drchal, Ondrej Kapral, Jan Koutník, Miroslav Snorek

Proceedings of the Artificial Neural Networks, 2009

HyperNEAT controlled robots learn how to drive on roads in simulated environment.

Jan Drchal, Jan Koutník, Miroslav Snorek

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Tree-Based Indirect Encodings for Evolutionary Development of Neural Networks.

Jan Drchal, Miroslav Snorek

Proceedings of the Artificial Neural Networks, 2008