no code implementations • 25 Mar 2024 • Marcin Pietroń, Dominik Żurek, Kamil Faber, Roberto Corizzo
Anomaly detection tools and methods enable key analytical capabilities in modern cyberphysical and sensor-based systems.
no code implementations • 4 Mar 2024 • Marcin Pietroń, Dominik Żurek, Kamil Faber, Roberto Corizzo
First, pruning reduces the number of weights, while preventing catastrophic drops in accuracy by means of a fast search process that identifies high sparsity levels.
no code implementations • 14 Aug 2023 • Marcin Pietroń, Dominik Żurek, Kamil Faber, Roberto Corizzo
Most of them have many problems with learning in dynamic and complex environments.
no code implementations • 11 Aug 2023 • Jan Krupiński, Maciej Wielgosz, Szymon Mazurek, Krystian Strzałka, Paweł Russek, Jakub Caputa, Daria Łukasik, Jakub Grzeszczyk, Michał Karwatowski, Rafał Fraczek, Ernest Jamro, Marcin Pietroń, Sebastian Koryciak, Agnieszka Dąbrowska-Boruch, Kazimierz Wiatr
The research sheds light on the significance of CNN-based IQA in computer-aided cytology diagnosis for animals, enhancing the accuracy of disease classification.
no code implementations • 21 Jul 2023 • Krystian Strzałka, Szymon Mazurek, Maciej Wielgosz, Paweł Russek, Jakub Caputa, Daria Łukasik, Jan Krupiński, Jakub Grzeszczyk, Michał Karwatowski, Rafał Frączek, Ernest Jamro, Marcin Pietroń, Sebastian Koryciak, Agnieszka Dąbrowska-Boruch, Kazimierz Wiatr
This paper explores the innovative use of simulation environments to enhance data acquisition and diagnostics in veterinary medicine, focusing specifically on gait analysis in dogs.
no code implementations • 20 Jun 2023 • Jakub Caputa, Maciej Wielgosz, Daria Łukasik, Paweł Russek, Jakub Grzeszczyk, Michał Karwatowski, Szymon Mazurek, Rafał Frączek, Anna Śmiech, Ernest Jamro, Sebastian Koryciak, Agnieszka Dąbrowska-Boruch, Marcin Pietroń, Kazimierz Wiatr
The primary objective of this research was to enhance the quality of semantic segmentation in cytology images by incorporating super-resolution (SR) architectures.
no code implementations • 5 Jun 2023 • Radosław Szostak, Marcin Pietroń, Przemysław Wachniew, Mirosław Zimnoch, Paweł Ćwiąkała
The data set was supplemented with data collected by other researchers that compared the state-of-the-art methods for determining WSE using an UAV.
no code implementations • 7 May 2023 • Jakub Grzeszczyk, Michał Karwatowski, Daria Łukasik, Maciej Wielgosz, Paweł Russek, Szymon Mazurek, Jakub Caputa, Rafał Frączek, Anna Śmiech, Ernest Jamro, Sebastian Koryciak, Agnieszka Dąbrowska-Boruch, Marcin Pietroń, Kazimierz Wiatr
This paper shows the machine learning system which performs instance segmentation of cytological images in veterinary medicine.
no code implementations • 29 Aug 2022 • Magdalena Stachoń, Marcin Pietroń
In this work the GAN-based method with augmentation is presented to improve small object detection on VOC Pascal dataset.
no code implementations • 28 Dec 2021 • Marcin Pietroń, Dominik Żurek
One of the most common techniques for improving the efficiency of CNN models is weight pruning and quantization.
no code implementations • 22 Dec 2021 • Radosław Szostak, Marcin Pietroń, Mirosław Zimnoch, Przemysław Wachniew, Paweł Ćwiąkała, Edyta Puniach
For our knowledge this is the first approach in which dataset was created for this purpose and deep learning models were used for this task.
no code implementations • 8 Aug 2021 • Kamil Faber, Dominik Żurek, Marcin Pietroń, Kamil Piętak
To our knowledge, this is the first approach in which an ensemble deep learning anomaly detection model is built in a fully automatic way using a neuroevolution strategy.
no code implementations • 17 Jul 2020 • Dominik Żurek, Marcin Pietroń
This paper presents the impact of using quantization on the efficiency of multi-class text classification in the training process of a support vector machine (SVM).
no code implementations • 28 May 2018 • Krzysztof Wróbel, Marcin Pietroń, Maciej Wielgosz, Michał Karwatowski, Kazimierz Wiatr
The method responsible for mapping compressed network to FPGA and results of this implementation are presented.
1 code implementation • 20 Jun 2017 • Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietroń, Michał Karwatowski, Aleksander Smywiński-Pohl
This paper presents the analysis of the impact of a floating-point number precision reduction on the quality of text classification.
no code implementations • 10 Sep 2016 • Maciej Wielgosz, Marcin Pietroń
The authors conducted a series of experiments for various macro parameters of HTM SP, as well as for different levels of video reduction ratios.
no code implementations • 5 Aug 2016 • Maciej Wielgosz, Marcin Pietroń
The classification accuracy of the system was examined through a series of experiments and the performance was given in terms of F1 score as a function of the number of columns, synapses, $min\_overlap$ and $winners\_set\_size$.