Energy Efficient Calculations of Text Similarity Measure on FPGA-Accelerated Computing Platforms. - Michal Karwatowski; Pawel Russek; Maciej Wielgosz; Sebastian Koryciak; Kazimierz Wiatr (PPAM (1), 2015)

Semantic search extension based on polish wordnet relations in business document exploration. - Piotr Potiopa; Michal Karwatowski; Jerzy Duda; Pawel Sasor; Maciej Wielgosz; Bartlomiej Muzykiewicz (IML, 2017)

Improving text classification with vectors of reduced precision. - Krzysztof Wróbel 002; Maciej Wielgosz; Marcin Pietron; Michal Karwatowski; Aleksander Smywinski-Pohl (CoRR, 2017)

Improving Text Classification with Vectors of Reduced Precision. - Krzysztof Wróbel 002; Maciej Wielgosz; Marcin Pietron; Michal Karwatowski; Jerzy Duda; Aleksander Smywinski-Pohl (ICAART (2), 2018)

FPGA Implementation of Procedures for Video Quality Assessment. - Maciej Wielgosz; Michal Karwatowski; Marcin Pietron; Kazimierz Wiatr (Comput. Sci., 2018)

Convolutional neural network compression for natural language processing. - Krzysztof Wróbel 002; Marcin Pietron; Maciej Wielgosz; Michal Karwatowski; Kazimierz Wiatr (CoRR, 2018)

Fast Compression and Optimization of Deep Learning Models for Natural Language Processing. - Marcin Pietron; Michal Karwatowski; Maciej Wielgosz; Jerzy Duda (CANDAR Workshops, 2019)

Mapping Neural Networks to FPGA-Based IoT Devices for Ultra-Low Latency Processing. - Maciej Wielgosz; Michal Karwatowski (Sensors, 2019)

Compression of Convolutional Neural Network for Natural Language Processing. - Krzysztof Wróbel 002; Michal Karwatowski; Maciej Wielgosz; Marcin Pietron; Kazimierz Wiatr (Comput. Sci., 2020)

Canine age classification using Deep Learning as a step towards preventive medicine in animals. - Szymon Mazurek; Maciej Wielgosz; Jakub Caputa; Rafal Fraczek; Michal Karwatowski; Jakub Grzeszczyk; Daria Lukasik; Anna Smiech; Pawel Russek; Ernest Jamro; Agnieszka Dabrowska-Boruch; Marcin Pietron; et al. (FedCSIS, 2022)

Context based lemmatizer for Polish language. - Michal Karwatowski; Marcin Pietron (CoRR, 2022)

Transformed-*: A domain-incremental lifelong learning scenario generation framework. - Dominik Zurek; Roberto Corizzo; Michal Karwatowski; Marcin Pietron; Kamil Faber (IJCNN, 2023)

Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis. - Jakub Grzeszczyk; Michal Karwatowski; Daria Lukasik; Maciej Wielgosz; Pawel Russek; Szymon Mazurek; Jakub Caputa; Rafal Fraczek; Anna Smiech; Ernest Jamro; Sebastian Koryciak; Agnieszka Dabrowska-Boruch; et al. (CoRR, 2023)

Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology. - Jakub Caputa; Maciej Wielgosz; Daria Lukasik; Pawel Russek; Jakub Grzeszczyk; Michal Karwatowski; Szymon Mazurek; Rafal Fraczek; Anna Smiech; Ernest Jamro; Sebastian Koryciak; Agnieszka Dabrowska-Boruch; et al. (CoRR, 2023)

Using simulation to calibrate real data acquisition in veterinary medicine. - Krystian Strzalka; Szymon Mazurek; Maciej Wielgosz; Pawel Russek; Jakub Caputa; Daria Lukasik; Jan Krupinski; Jakub Grzeszczyk; Michal Karwatowski; Rafal Fraczek; Ernest Jamro; Marcin Pietron; et al. (CoRR, 2023)

Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification. - Jan Krupinski; Maciej Wielgosz; Szymon Mazurek; Krystian Strzalka; Pawel Russek; Jakub Caputa; Daria Lukasik; Jakub Grzeszczyk; Michal Karwatowski; Rafal Fraczek; Ernest Jamro; Marcin Pietron; et al. (CoRR, 2023)

RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem. - Dominik Zurek; Marcin Pietron; Szymon Piórkowski; Michal Karwatowski; Kamil Faber (IEEE Big Data, 2024)