Petra Vidnerová

44 papers A* 1B 3C 5Journal 8Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Cross-Entropy Loss of Approximated Deep Neural Networks. ICONIP (1) Jirí Síma, Petra Vidnerová
2025	—	`conf`	Weight-Rounding Error in Deep Neural Networks. ECML/PKDD (4) Jirí Síma, Petra Vidnerová
2024	J	`jnl`	Energy Complexity of Convolutional Neural Networks. Neural Comput. Jirí Síma, Petra Vidnerová, Vojtech Mrazek
2024	J	`jnl`	Highly robust training of regularized radial basis function networks. Kybernetika Jan Kalina, Petra Vidnerová, Patrik Janácek
2024	J	`jnl`	On energy complexity of fully-connected layers. Neural Networks Jirí Síma, Jérémie Cabessa, Petra Vidnerová
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`	Energy Complexity Model for Convolutional Neural Networks. ICANN (10) Jirí Síma, Petra Vidnerová, Vojtech Mrazek
2023	—	`conf`	Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients. ICANN (9) Jan Kalina, Petra Vidnerová
2022	—	`conf`	Multi-objective Bayesian Optimization for Neural Architecture Search. ICAISC (1) Petra Vidnerová, Jan Kalina
2022	B	`conf`	Sparse Versions of Optimized Centroids. IJCNN Jan Kalina, Petra Vidnerová, Patrik Janácek
2022	C	`conf`	Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19. EANN Gabriela Suchopárová, Petra Vidnerová, Roman Neruda, Martin Smíd
2021	—	`conf`	A Comparison of Trend Estimators Under Heteroscedasticity. ICAISC (1) Jan Kalina, Petra Vidnerová, Jan Tichavský
2021	J	`jnl`	Effective Automatic Method Selection for Nonlinear Regression Modeling. Int. J. Neural Syst. Jan Kalina, Ales Neoral, Petra Vidnerová
2021	—	`conf`	Simulation of Non-pharmaceutical Interventions in an Agent based Epidemic Model. ITAT 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
2020	C	`conf`	A Metalearning Study for Robust Nonlinear Regression. EANN Jan Kalina, Petra Vidnerová
2020	—	`conf`	Multi-objective Evolution for Deep Neural Network Architecture Search. ICONIP (3) Petra Vidnerová, Roman Neruda
2020	—	`conf`	Multiobjective Evolution for Convolutional Neural Network Architecture Search. ICAISC (1) Petra Vidnerová, Stepán Procházka, Roman Neruda
2020	C	`conf`	Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives. EANN Jan Kalina, Petra Vidnerová
2020	J	`jnl`	Vulnerability of classifiers to evolutionary generated adversarial examples. Neural Networks Petra Vidnerová, Roman Neruda
2019	J	`jnl`	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. Petra Vidnerová
2019	—	`conf`	Robust Training of Radial Basis Function Neural Networks. ICAISC (1) Jan Kalina, Petra Vidnerová
2018	—	`conf`	Asynchronous Evolution of Convolutional Networks. ITAT Petra Vidnerová, Roman Neruda
2018	—	`conf`	Deep Networks with RBF Layers to Prevent Adversarial Examples. ICAISC (1) Petra Vidnerová, Roman Neruda
2017	—	`conf`	Evolution Strategies for Deep Neural Network Models Design. ITAT Petra Vidnerová, Roman Neruda
2017	C	`conf`	Evolving KERAS Architectures for Sensor Data Analysis. FedCSIS Petra Vidnerová, Roman Neruda
2016	—	`conf`	Evolutionary generation of adversarial examples for deep and shallow machine learning models. MISNC Petra Vidnerová, Roman Neruda
2016	B	`conf`	Sensor Data Air Pollution Prediction by Kernel Models. CCGrid Petra Vidnerová, Roman Neruda
2016	—	`conf`	Vulnerability of Machine Learning Models to Adversarial Examples. ITAT Petra Vidnerová, Roman Neruda
2015	—	`conf`	Product Multi-kernels for Sensor Data Analysis. ICAISC (1) Petra Vidnerová, Roman Neruda
2011	—	`conf`	Evolutionary Learning of Regularization Networks with Multi-kernel Units. ISNN (1) Petra Vidnerová, Roman Neruda
2011	B	`conf`	Evolutionary learning of regularization networks with product kernel units. SMC Petra Vidnerová, Roman Neruda
2011	—	`conf`	Evolving Sum and Composite Kernel Functions for Regularization Networks. ICANNGA (1) Petra Vidnerová, Roman Neruda
2010	J	`jnl`	Comparison of behavior-based and planning techniques on the small robot maze exploration problem. Neural Networks Stanislav Slusny, Roman Neruda, Petra Vidnerová
2010	—	`conf`	Genetic Algorithm with Species for Regularization Network Metalearning. IAIT Roman Neruda, Petra Vidnerová
2010	—	`conf`	Hybrid Learning of Regularization Neural Networks. ICAISC (2) Petra Vidnerová, Roman Neruda
2010	—	`conf`	Memetic Evolutionary Learning for Local Unit Networks. ISNN (1) Roman Neruda, Petra Vidnerová
2009	—	`conf`	Localization With a Low-cost Robot. ITAT Stanislav Slusny, Roman Neruda, Petra Vidnerová
2008	—	`conf`	Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem. ICANN (1) Stanislav Slusny, Roman Neruda, Petra Vidnerová
2008	—	`conf`	Evolutionary Learning and Behavior Analysis of the Autonomous Robot Neuro-Controller. GEM Roman Neruda, Stanislav Slusny, Petra Vidnerová
2008	C	`conf`	Evolutionary trained radial basis function networks for robot control. ICARCV Petra Vidnerová, Stanislav Slusny, Roman Neruda
2008	—	`conf`	Learning algorithms for small mobile robots: case study on maze exploration. ITAT Stanislav Slusny, Roman Neruda, Petra Vidnerová
2008	—	`conf`	Rule-Based Analysis of Behaviour Learned by Evolutionary and Reinforcement Algorithms. ICIC (2) Stanislav Slusny, Roman Neruda, Petra Vidnerová
2008	—	`conf`	Testing Error Estimates for Regularization and Radial Function Networks. ISNN (1) Petra Vidnerová, Roman Neruda