フォロー
Adam Brzeski
Adam Brzeski
Gdańsk University of Technology
確認したメール アドレス: pg.edu.pl
タイトル
引用先
引用先
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
372017
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
182014
Depth images filtering in distributed streaming
T Dziubich, J Szymański, A Brzeski, J Cychnerski, W Korłub
Polish Maritime Research 23 (2), 91-98, 2016
132016
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
122019
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
122013
Residual mobilenets
A Brzeski, K Grinholc, K Nowodworski, A Przybylek
New Trends in Databases and Information Systems: ADBIS 2019 Short Papers …, 2019
62019
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
52022
Towards Healthcare Cloud Computing
P Dorożyński, A Brzeski, J Cychnerski, T Dziubich
Information Systems Architecture and Technology: Proceedings of 36th …, 2016
42016
Visual Features for Endoscopic Bleeding Detection
A Brzeski
British Journal of Applied Science & Technology 4 (27), 3902, 2014
42014
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
42013
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
32013
Visual Features for Improving Endoscopic Bleeding Detection Using Convolutional Neural Networks
A Brzeski, T Dziubich, H Krawczyk
Sensors 23 (24), 9717, 2023
22023
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
22023
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
22014
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
12020
Relation-based Wikipedia Search System for Factoid Questions Answering
A Brzeski, TM Boiński
International Journal of Innovative Research in Computer and Communication …, 2014
12014
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
12014
Data mining applications and methods in medicine
A BRZESKI, P ROŚCISZEWSKI, J CYCHNERSKI
Information Systems Architecture and Technology, 139, 2014
12014
Method of training the endoscopic video analysis algorithms to maximize both accuracy and stability
J Cychnerski, A Brzeski, A Blokus
12013
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
12013
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