Jan Drchal

Orcid: 0000-0003-0466-275X

According to our database1, Jan Drchal authored at least 20 papers between 2008 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
CsFEVER and CTKFacts: acquiring Czech data for fact verification.
Lang. Resour. Evaluation, December, 2023

Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language.
CoRR, 2023

2022
WiSM: Windowing Surrogate Model for Evaluation of Curvature-Constrained Tours With Dubins Vehicle.
IEEE Trans. Cybern., 2022

Continually trained life-long classification.
Neural Comput. Appl., 2022

CsFEVER and CTKFacts: Czech Datasets for Fact Verification.
CoRR, 2022

2020
Fast Sequence Rejection for Multi-Goal Planning with Dubins Vehicle.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Autoencoders Covering Space as a Life-Long Classifier.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Basic Evaluation Scenarios for Incrementally Trained Classifiers.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018
Towards Data-Driven On-Demand Transport.
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2018

Terrain Classification with Crawling Robot Using Long Short-Term Memory Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2016
VALFRAM: Validation Framework for Activity-Based Models.
J. Artif. Soc. Soc. Simul., 2016

Liftago On-Demand Transport Dataset and Market Formation Algorithm Based on Machine Learning.
CoRR, 2016

2015
Fully agent-based simulation model of multimodal mobility in European cities.
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.
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.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Distance measures for HyperGP with fitness sharing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2010
Meta-learning approach to neural network optimization.
Neural Networks, 2010

2009
Combining Multiple Inputs in HyperNEAT Mobile Agent Controller.
Proceedings of the Artificial Neural Networks, 2009

HyperNEAT controlled robots learn how to drive on roads in simulated environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Tree-Based Indirect Encodings for Evolutionary Development of Neural Networks.
Proceedings of the Artificial Neural Networks, 2008


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