Clothes detection and classification using convolutional neural networks J Cychnerski, A Brzeski, A Boguszewski, M Marmolowski, M Trojanowicz 2017 22nd IEEE International Conference on Emerging Technologies and Factory …, 2017 | 37 | 2017 |
Accelerometer-based Human Activity Recognition and the Impact of the Sample Size A Harasimowicz, T Dziubich, A Brzeski Proceedings of the 13th International Conference on Artificial Intelligence …, 2014 | 18 | 2014 |
Depth images filtering in distributed streaming T Dziubich, J Szymański, A Brzeski, J Cychnerski, W Korłub Polish Maritime Research 23 (2), 91-98, 2016 | 13 | 2016 |
Evaluating performance and accuracy improvements for attention-OCR A Brzeski, K Grinholc, K Nowodworski, A Przybyłek Computer Information Systems and Industrial Management: 18th International …, 2019 | 12 | 2019 |
An overview of image analysis techniques in endoscopic bleeding detection A Brzeski, A Blokus, J Cychnerski International Journal of Innovative Research in Computer and Communication …, 2013 | 12 | 2013 |
Residual mobilenets A Brzeski, K Grinholc, K Nowodworski, A Przybylek New Trends in Databases and Information Systems: ADBIS 2019 Short Papers …, 2019 | 6 | 2019 |
ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification J Cychnerski, T Dziubich, A Brzeski arXiv preprint arXiv:2201.08746, 2022 | 5 | 2022 |
Towards Healthcare Cloud Computing P Dorożyński, A Brzeski, J Cychnerski, T Dziubich Information Systems Architecture and Technology: Proceedings of 36th …, 2016 | 4 | 2016 |
Visual Features for Endoscopic Bleeding Detection A Brzeski British Journal of Applied Science & Technology 4 (27), 3902, 2014 | 4 | 2014 |
Real-Time Gastrointestinal Tract Video Analysis on a Cluster Supercomputer A Blokus, A Brzeski, J Cychnerski, T Dziubich, M Jędrzejewski Complex Systems and Dependability, 55-68, 2013 | 4 | 2013 |
REAL-TIME BLEEDING DETECTION IN GASTROINTESTINAL TRACT ENDOSCOPIC EXAMINATIONS VIDEO A Blokus, A Brzeski, J Cychnerski International Journal of Distributed and Parallel Systems 4 (4), 1, 2013 | 3 | 2013 |
Visual Features for Improving Endoscopic Bleeding Detection Using Convolutional Neural Networks A Brzeski, T Dziubich, H Krawczyk Sensors 23 (24), 9717, 2023 | 2 | 2023 |
AngioScore: An artificial intelligence tool to assess coronary artery lesions E Blazejowska, JM Zimodro, T Figatowski, A Brzeski, T Dziubich, ... Cardiology journal 30 (5), 846-848, 2023 | 2 | 2023 |
A Regular Expression Matching Application with Configurable Data Intensity for Testing Heterogeneous HPC Systems P Rościszewski, J Cychnerski, A Brzeski Information Systems Architecture and Technology, 49, 2014 | 2 | 2014 |
Automated classifier development process for recognizing book pages from video frames A Brzeski, J Cychnerski, K Draszawka, K Dziubich, T Dziubich, W Korłub, ... ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium …, 2020 | 1 | 2020 |
Relation-based Wikipedia Search System for Factoid Questions Answering A Brzeski, TM Boiński International Journal of Innovative Research in Computer and Communication …, 2014 | 1 | 2014 |
Obtaining a Well-Trained Artificial Intelligence Algorithm from Cross-Validation in Endoscopy J Cychnerski, A Brzeski, P Rościszewski Information Systems Architecture and Technology, 159, 2014 | 1 | 2014 |
Data mining applications and methods in medicine A BRZESKI, P ROŚCISZEWSKI, J CYCHNERSKI Information Systems Architecture and Technology, 139, 2014 | 1 | 2014 |
Method of training the endoscopic video analysis algorithms to maximize both accuracy and stability J Cychnerski, A Brzeski, A Blokus | 1 | 2013 |
Endoscopic Videos Deinterlacing and On-Screen Text and Light Flashes Removal and Its Influence on Image Analysis Algorithms’ Efficiency J Cychnerski, A Blokus, A Brzeski International Journal of Image Processing and Visual Communication 2 (1), 1-5, 2013 | 1 | 2013 |