P. Vidnerová

发表

The COVID-19 epidemic in the Czech Republic: retrospective analysis of measures (not) implemented during the spring first wave

R. Levinsky, M. Šoltés, J. Slerka, 2020, medRxiv.

Rotation-based schedules in elementary schools to prevent COVID-19 spread: A simulation study

C. Brom, J. Slerka, J. Trnka, 2021, medRxiv.

Importance of vaccine action and availability and epidemic severity for delaying the second vaccine dose

R. Neruda, L. Berec, P. Vidnerová, 2022, Scientific Reports.

Performance Comparison of Relational Reinforcement Learning and RBF Neural Networks for Small Mobile Robots

R. Neruda, S. Slusny, P. Vidnerova, 2008, 2008 Second International Conference on Future Generation Communication and Networking Symposia.

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

Roman Neruda, Petra Vidnerová, Stanislav Slusny, 2008, ITAT.

Genetic Algorithm with Species for Regularization Network Metalearning

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2010, IAIT.

Hybrid Learning of Regularization Neural Networks

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2010, ICAISC.

Memetic Evolutionary Learning for Local Unit Networks

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2010, ISNN.

Supervised Learning Errors by Radial Basis Function Neural Networks and Regularization Networks

R. Neruda, P. Vidnerova, P. Vidnerová, 2008, 2008 Second International Conference on Future Generation Communication and Networking Symposia.

Testing Error Estimates for Regularization and Radial Function Networks

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2008, ISNN.

Sensor Data Air Pollution Prediction by Kernel Models

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2016, 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid).

Product Multi-kernels for Sensor Data Analysis

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2015, ICAISC.

Delays, Masks, the Elderly, and Schools: First Covid-19 Wave in the Czech Republic

L. Berec, M. Šoltés, J. Slerka, 2020, Bulletin of Mathematical Biology.

Evolution of simple behavior patterns for autonomous robotic agent

Roman Neruda, Petra Vidnerová, Stanislav Slušný, 2007 .

Evolution Strategies for Deep Neural Network Models Design

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2017, ITAT.

Vulnerability of classifiers to evolutionary generated adversarial examples

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2020, Neural Networks.

Sparse Versions of Optimized Centroids

J. Kalina, P. Vidnerová, Patrik Janáček, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

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

Roman Neruda, Petra Vidnerová, Stanislav Slusny, 2010, Neural Networks.

Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives

Petra Vidnerová, Jan Kalina, J. Kalina, 2020, EANN.

Model-M: An agent-based epidemic model of a middle-sized municipality

J. Slerka, L. Berec, V. Tucek, 2021, medRxiv.

On the contact tracing for COVID-19: A simulation study

A. Kuběna, L. Berec, J. Slerka, 2023, Epidemics.

Asynchronous Evolution of Convolutional Networks

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2018, ITAT.

Multi-objective Evolution for Deep Neural Network Architecture Search

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2020, ICONIP.

Multiobjective Evolution for Convolutional Neural Network Architecture Search

Roman Neruda, Petra Vidnerová, Stepán Procházka, 2020, ICAISC.

Evolving keras architectures for sensor data analysis

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).

Importance of epidemic severity and vaccine mode of action and availability for delaying the second vaccine dose

J. Weiner, L. Berec, R. Neruda, 2021, medRxiv.

Evolutionary trained radial basis function networks for robot control

Roman Neruda, Petra Vidnerová, Stanislav Slusny, 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

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

Roman Neruda, Petra Vidnerová, Stanislav Slusny, 2008, ICIC.

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

Roman Neruda, Petra Vidnerová, Stanislav Slusny, 2008, ICANN.

Behaviour patterns evolution on individual and group level

Roman Neruda, Petra Vidnerová, Stanislav Slušný, 2007 .

Behavior Emergence in Autonomous Robot Control by Means of Evolutionary Neural Networks

Roman Neruda, Petra Vidnerová, Stanislav Slušný, 2009 .

Energy Complexity Model for Convolutional Neural Networks

Jirí Síma, P. Vidnerová, Vojtěch Mrázek, 2023 .

Air Pollution Modelling by Machine Learning Methods

P. Vidnerová, Roman Neruda, 2021, Modelling.

A Metalearning Study for Robust Nonlinear Regression

Petra Vidnerová, Jan Kalina, J. Kalina, 2020, EANN.

A Comparison of Robust Model Choice Criteria Within a Metalearning Study

Petra Vidnerová, Jan Kalina, Yeşim Güney, 2019 .

Deep Networks with RBF Layers to Prevent Adversarial Examples

Roman Neruda, Petra Vidnerová, P. Vidnerová, 2018, ICAISC.

Delays, Masks, the Elderly, and Schools: First Covid-19 Wave in the Czech Republic

L. Berec, M. Šoltés, J. Slerka, 2022, Bulletin of Mathematical Biology.