Michał Karwatowski
Michał Karwatowski
PhD student, AGH UST
Verified email at
Cited by
Cited by
Mapping neural networks to FPGA-based IoT devices for ultra-low latency processing
M Wielgosz, M Karwatowski
Sensors 19 (13), 2981, 2019
Compressing sentiment analysis CNN models for efficient hardware processing
K Wróbel, M Karwatowski, M Wielgosz, M Pietroń, K Wiatr
Computer Science 21 (1), 2020
Energy efficient calculations of text similarity measure on FPGA-accelerated computing platforms
M Karwatowski, P Russek, M Wielgosz, S Koryciak, K Wiatr
Parallel Processing and Applied Mathematics: 11th International Conference …, 2016
Improving text classification with vectors of reduced precision
K Wróbel, M Wielgosz, M Pietroń, M Karwatowski, A Smywiński-Pohl
arXiv preprint arXiv:1706.06363, 2017
Fast pre-diagnosis of neoplastic changes in cytology images using machine learning
J Caputa, D Łukasik, M Wielgosz, M Karwatowski, R Frączek, P Russek, ...
Applied Sciences 11 (16), 7181, 2021
Canine age classification using Deep Learning as a step toward preventive medicine in animals
S Mazurek, M Wielgosz, J Caputa, R Frączek, M Karwatowski, ...
2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2022
A study of parallel techniques for dimensionality reduction and its impact on the quality of text processing algorithms
M Pietroń, M Wielgosz, M Karwatowski, K Wiatr
Measurement Automation Monitoring 61 (7), 352-353, 2015
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis
J Grzeszczyk, M Karwatowski, D Łukasik, M Wielgosz, P Russek, ...
arXiv preprint arXiv:2305.04332, 2023
Semantic search extension based on polish wordnet relations in business document exploration
P Potiopa, M Karwatowski, J Duda, P Sasor, M Wielgosz, B Muzykiewicz
Proceedings of the 1st International Conference on Internet of Things and …, 2017
FPGA implementation of the procedures for video quality assessment
M Wielgosz, M Karwatowski, M Pietroń, K Wiatr
arXiv preprint arXiv:1609.06109, 2016
A custom co-processor for the discovery of low autocorrelation binary sequences
P Russek, M Karwatowski, E Jamro, K Wiatr
Measurement Automation Monitoring 62 (5), 154-156, 2016
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology
J Caputa, M Wielgosz, D Łukasik, P Russek, J Grzeszczyk, ...
Life 14 (3), 321, 2024
Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification
J Krupiński, M Wielgosz, S Mazurek, K Strzałka, P Russek, J Caputa, ...
arXiv preprint arXiv:2308.06055, 2023
Using simulation to calibrate real data acquisition in veterinary medicine
K Strzałka, S Mazurek, M Wielgosz, P Russek, J Caputa, D Łukasik, ...
arXiv preprint arXiv:2307.11695, 2023
Sprzętowa akceleracja wymagających obliczeniowo operacji na potrzeby algorytmów sztucznej inteligencji w układach FPGA
M Karwatowski
NLP Semi-supervised PU Learning with Reduced Number of Labeled Examples
M Karwatowski, M Wielgosz, M Pietroń, K Piętak, D Żurek
Advances in Information and Communication: Proceedings of the 2021 Future of …, 2021
Assessment of various GPU acceleration strategies in text categorization processing flow
Ł Korduła, M Wielgosz, M Karwatowski, M Pietroń, D Żurek, K Wiatr
Measurement Automation Monitoring 63, 2017
Real time 8K video quality assessment using FPGA
M Wielgosz, M Pietroń, M Karwatowski, K Wiatr
Measurement Automation Monitoring 62 (6), 187-189, 2016
The versatile hardware accelerator framework for sparse vector calculations
R Karwatowski, K Wiatr
Measurement Automation Monitoring 61 (7), 327--329, 2015
The Java profiler based on byte code analysis and instrumentation for many-core hardware accelerators
M Pietroń, M Karwatowski, K Wiatr
Measurement Automation Monitoring 61 (7), 385--387, 2015
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