Petra Vidnerová

According to our database, Petra Vidnerová authored at least 39 papers between 2008 and 2024.

Collaborative distances:

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

2024

On energy complexity of fully-connected layers.

Jirí Síma, Jérémie Cabessa, Petra Vidnerová

Neural Networks, 2024

Surprisingly Strong Performance Prediction with Neural Graph Features.

Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Energy Complexity Model for Convolutional Neural Networks.

Jirí Síma, Petra Vidnerová, Vojtech Mrazek

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients.

Jan Kalina, Petra Vidnerová

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022

Sparse Versions of Optimized Centroids.

Jan Kalina, Petra Vidnerová, Patrik Janácek

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-objective Bayesian Optimization for Neural Architecture Search.

Petra Vidnerová, Jan Kalina

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.

Gabriela Suchopárová, Petra Vidnerová, Roman Neruda, Martin Smíd

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

Effective Automatic Method Selection for Nonlinear Regression Modeling.

Jan Kalina, Ales Neoral, Petra Vidnerová

Int. J. Neural Syst., 2021

Simulation of Non-pharmaceutical Interventions in an Agent based Epidemic Model.

Petra Vidnerová, Roman Neruda, Gabriela Suchopárová, Ludek Berec, Tomás Diviák, Ales Kubena, René Levínský, Josef Slerka, Martin Smíd, Jan Trnka, Vít Tucek, Karel Vrbenský, Milan Zajícek

Proceedings of the 21st Conference Information Technologies, 2021

A Comparison of Trend Estimators Under Heteroscedasticity.

Jan Kalina, Petra Vidnerová, Jan Tichavský

Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020

Vulnerability of classifiers to evolutionary generated adversarial examples.

Petra Vidnerová, Roman Neruda

Neural Networks, 2020

Multi-objective Evolution for Deep Neural Network Architecture Search.

Petra Vidnerová, Roman Neruda

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Multiobjective Evolution for Convolutional Neural Network Architecture Search.

Petra Vidnerová, Stepán Procházka, Roman Neruda

Proceedings of the Artificial Intelligence and Soft Computing, 2020

Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives.

Jan Kalina, Petra Vidnerová

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

A Metalearning Study for Robust Nonlinear Regression.

Jan Kalina, Petra Vidnerová

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.

Petra Vidnerová

Genet. Program. Evolvable Mach., 2019

Robust Training of Radial Basis Function Neural Networks.

Jan Kalina, Petra Vidnerová

Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018

Asynchronous Evolution of Convolutional Networks.

Petra Vidnerová, Roman Neruda

Proceedings of the 18th Conference Information Technologies, 2018

Deep Networks with RBF Layers to Prevent Adversarial Examples.

Petra Vidnerová, Roman Neruda

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017

Evolution Strategies for Deep Neural Network Models Design.

Petra Vidnerová, Roman Neruda

Proceedings of the 17th Conference on Information Technologies, 2017

Evolving KERAS Architectures for Sensor Data Analysis.

Petra Vidnerová, Roman Neruda

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.

Petra Vidnerová, Roman Neruda

Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, 2016

Vulnerability of Machine Learning Models to Adversarial Examples.

Petra Vidnerová, Roman Neruda

Proceedings of the 16th ITAT Conference Information Technologies, 2016

Sensor Data Air Pollution Prediction by Kernel Models.

Petra Vidnerová, Roman Neruda

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015

Product Multi-kernels for Sensor Data Analysis.

Petra Vidnerová, Roman Neruda

Proceedings of the Artificial Intelligence and Soft Computing, 2015

2011

Evolutionary learning of regularization networks with product kernel units.

Petra Vidnerová, Roman Neruda

Proceedings of the IEEE International Conference on Systems, 2011

Evolutionary Learning of Regularization Networks with Multi-kernel Units.

Petra Vidnerová, Roman Neruda

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Evolving Sum and Composite Kernel Functions for Regularization Networks.

Petra Vidnerová, Roman Neruda

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010

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

Stanislav Slusny, Roman Neruda, Petra Vidnerová

Neural Networks, 2010

Memetic Evolutionary Learning for Local Unit Networks.

Roman Neruda, Petra Vidnerová

Proceedings of the Advances in Neural Networks, 2010

Hybrid Learning of Regularization Neural Networks.

Petra Vidnerová, Roman Neruda

Proceedings of the Artifical Intelligence and Soft Computing, 2010

Genetic Algorithm with Species for Regularization Network Metalearning.

Roman Neruda, Petra Vidnerová

Proceedings of the Advances in Information Technology - 4th International Conference, 2010

2009

Localization With a Low-cost Robot.

Stanislav Slusny, Roman Neruda, Petra Vidnerová

Proceedings of the Conference on Theory and Practice of Information Technologies, 2009

2008

Learning algorithms for small mobile robots: case study on maze exploration.

Stanislav Slusny, Roman Neruda, Petra Vidnerová

Proceedings of the Conference on Theory and Practice of Information Technologies, 2008

Testing Error Estimates for Regularization and Radial Function Networks.

Petra Vidnerová, Roman Neruda

Proceedings of the Advances in Neural Networks, 2008

Rule-Based Analysis of Behaviour Learned by Evolutionary and Reinforcement Algorithms.

Stanislav Slusny, Roman Neruda, Petra Vidnerová

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

Evolutionary trained radial basis function networks for robot control.

Petra Vidnerová, Stanislav Slusny, Roman Neruda

Proceedings of the 10th International Conference on Control, 2008

Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem.

Stanislav Slusny, Roman Neruda, Petra Vidnerová

Proceedings of the Artificial Neural Networks, 2008

Evolutionary Learning and Behavior Analysis of the Autonomous Robot Neuro-Controller.

Roman Neruda, Stanislav Slusny, Petra Vidnerová

Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008