Petra Vidnerová

Orcid: 0000-0003-3879-3459

According to our database1, Petra Vidnerová authored at least 36 papers between 2008 and 2023.

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

Timeline

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Bibliography

2023
Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022
Sparse Versions of Optimized Centroids.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-objective Bayesian Optimization for Neural Architecture Search.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
Effective Automatic Method Selection for Nonlinear Regression Modeling.
Int. J. Neural Syst., 2021

Simulation of Non-pharmaceutical Interventions in an Agent based Epidemic Model.
Proceedings of the 21st Conference Information Technologies, 2021

A Comparison of Trend Estimators Under Heteroscedasticity.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020
Vulnerability of classifiers to evolutionary generated adversarial examples.
Neural Networks, 2020

Multi-objective Evolution for Deep Neural Network Architecture Search.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Multiobjective Evolution for Convolutional Neural Network Architecture Search.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

A Metalearning Study for Robust Nonlinear Regression.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
Hitoshi Iba: Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks - Springer, 2018, Hardcover, 245 pp, ISBN: 978-981-13-0199-5.
Genet. Program. Evolvable Mach., 2019

Robust Training of Radial Basis Function Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018
Asynchronous Evolution of Convolutional Networks.
Proceedings of the 18th Conference Information Technologies, 2018

Deep Networks with RBF Layers to Prevent Adversarial Examples.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017
Evolution Strategies for Deep Neural Network Models Design.
Proceedings of the 17th Conference on Information Technologies, 2017

Evolving KERAS Architectures for Sensor Data Analysis.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016
Evolutionary generation of adversarial examples for deep and shallow machine learning models.
Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, 2016

Vulnerability of Machine Learning Models to Adversarial Examples.
Proceedings of the 16th ITAT Conference Information Technologies, 2016

Sensor Data Air Pollution Prediction by Kernel Models.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015
Product Multi-kernels for Sensor Data Analysis.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

2011
Evolutionary learning of regularization networks with product kernel units.
Proceedings of the IEEE International Conference on Systems, 2011

Evolutionary Learning of Regularization Networks with Multi-kernel Units.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Evolving Sum and Composite Kernel Functions for Regularization Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010
Comparison of behavior-based and planning techniques on the small robot maze exploration problem.
Neural Networks, 2010

Memetic Evolutionary Learning for Local Unit Networks.
Proceedings of the Advances in Neural Networks, 2010

Hybrid Learning of Regularization Neural Networks.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

Genetic Algorithm with Species for Regularization Network Metalearning.
Proceedings of the Advances in Information Technology - 4th International Conference, 2010

2009
Localization With a Low-cost Robot.
Proceedings of the Conference on Theory and Practice of Information Technologies, 2009

2008
Learning algorithms for small mobile robots: case study on maze exploration.
Proceedings of the Conference on Theory and Practice of Information Technologies, 2008

Testing Error Estimates for Regularization and Radial Function Networks.
Proceedings of the Advances in Neural Networks, 2008

Rule-Based Analysis of Behaviour Learned by Evolutionary and Reinforcement Algorithms.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

Evolutionary trained radial basis function networks for robot control.
Proceedings of the 10th International Conference on Control, 2008

Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem.
Proceedings of the Artificial Neural Networks, 2008

Evolutionary Learning and Behavior Analysis of the Autonomous Robot Neuro-Controller.
Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008


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