Andrzej Rusiecki

发表

Trimmed Robust Loss Function for Training Deep Neural Networks with Label Noise

Andrzej Rusiecki, A. Rusiecki, 2019, ICAISC.

Noise reduction in regression tasks with distance, instance, attribute and density weighting

Marcin Blachnik, Andrzej Rusiecki, Miroslaw Kordos, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

The Feature Selective Validation Technique as Analysis Tool for Shielding Effectiveness of Slotted Enclosures

Antonio Orlandi, Alistair P. Duffy, Andrzej Rusiecki, 2015, IEEE Transactions on Electromagnetic Compatibility.

Analysis of differences in results of measurements and calculations of slotted enclosure shielding effectiveness

Andrzej Rusiecki, Karol Aniserowicz, 2014, 2014 20th International Conference on Microwaves, Radar and Wireless Communications (MIKON).

Standard Dropout as Remedy for Training Deep Neural Networks with Label Noise

Andrzej Rusiecki, A. Rusiecki, 2020 .

Fast Robust Learning Algorithm Dedicated to LMLS Criterion

Andrzej Rusiecki, 2010, ICAISC.

Robust Learning Algorithm with LTS Error Function

Andrzej Rusiecki, 2009, Encyclopedia of Artificial Intelligence.

Green wave optimization

Andrzej Rusiecki, Marek Bazan, Tomasz Janiczek, 2016 .

Robust MCD-Based Backpropagation Learning Algorithm

Andrzej Rusiecki, A. Rusiecki, 2006, ICAISC.

Improving MLP Neural Network Performance by Noise Reduction

Andrzej Rusiecki, Miroslaw Kordos, A. Rusiecki, 2013, TPNC.

Effectiveness of Unsupervised Training in Deep Learning Neural Networks

Andrzej Rusiecki, Mirosław Kordos, 2015 .

Road Traffic Predictions across Major City Intersections Using Multilayer Perceptrons and Data from Multiple Intersections Located in Various Places

Andrzej Rusiecki, Marek Bazan, Tomasz Janiczek, 2016 .

Testing the Generalization of Feedforward Neural Networks with Median Neuron Input Function

Andrzej Rusiecki, A. Rusiecki, 2013, ICAISC.

Calculations and measurements of shielding effectiveness of slotted enclosure with built-in conductive stirrer

Andrzej Rusiecki, 2012 .

Reducing noise impact on MLP training

Andrzej Rusiecki, Miroslaw Kordos, A. Rusiecki, 2016, Soft Comput..

Weight Update Sequence in MLP Networks

Andrzej Rusiecki, Miroslaw Kordos, Tomasz Kaminski, 2014, IDEAL.

Robust learning algorithm based on LTA estimator

Andrzej Rusiecki, A. Rusiecki, 2013, Neurocomputing.

Evaluation of shielding effectiveness of slotted enclosures by internal stirring

Andrzej Rusiecki, Karol Aniserowicz, 2014, 2014 20th International Conference on Microwaves, Radar and Wireless Communications (MIKON).

Robust Neural Network for Novelty Detection on Data Streams

Andrzej Rusiecki, 2012, ICAISC.

Estimation of Travel Time in the City Based on Intelligent Transportation System Traffic Data with the Use of Neural Networks

Andrzej Rusiecki, Marek Bazan, Tomasz Janiczek, 2016, DepCoS-RELCOMEX.

Some aspects of Intelligent Transport System auditing

Andrzej Rusiecki, Marek Bazan, Tomasz Janiczek, 2015 .

Fault tolerant feedforward neural network with median neuron input function

Andrzej Rusiecki, A. Rusiecki, 2005 .

Deep Neural Network for Whole Slide Vein Segmentation

Bartosz Miselis, Andrzej Rusiecki, Tomasz Jurek, 2018, CISIM.

Algorytmy uczenia sieci neuronowych odporne na błędy w danych

Andrzej Rusiecki, A. Rusiecki, 2007 .

Robust Learning Algorithm Based on Iterative Least Median of Squares

Andrzej Rusiecki, 2012, Neural Processing Letters.

Multithreaded enhancements of the Dijkstra algorithm for route optimization in urban networks

Andrzej Rusiecki, Tomasz Janiczek, Krzysztof Halawa, 2016 .

Internal Stirring: An Approach to Approximate Evaluation of Shielding Effectiveness of Small Slotted Enclosures

Antonio Orlandi, Alistair Duffy, Andrzej Rusiecki, 2016 .

Robust LTS Backpropagation Learning Algorithm

Andrzej Rusiecki, 2007, IWANN.

Intelligent Transport System auditing using road traffic micro-simulation

Andrzej Rusiecki, Marek Bazan, Tomasz Janiczek, 2015 .

Detection of vehicles moving in wrong direction

Andrzej Rusiecki, Tomasz Janiczek, Krzysztof Halawa, 2016 .

Training Neural Networks on Noisy Data

Andrzej Rusiecki, Miroslaw Kordos, Tomasz Kaminski, 2014, ICAISC.

Swapping Face Images with Generative Neural Networks for Deepfake Technology - Experimental Study

Andrzej Rusiecki, Michał Zendran, A. Rusiecki, 2021, KES.