Krzysztof Palczynski

According to our database, Krzysztof Palczynski authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Fuzzy Gaussian Decision Tree.

Krzysztof Palczynski, Magda Czyzewska, Tomasz Talaska

J. Comput. Appl. Math., June, 2023

Conversion of fat to cellular fuel - Fatty acids β-oxidation model.

Sylwester Kloska, Krzysztof Palczynski, Tomasz Marciniak, Tomasz Talaska, Marissa Miller, Beata J. Wysocki, Paul H. Davis, Tadeusz A. Wysocki

Comput. Biol. Chem., June, 2023

2022

Study of the Few-Shot Learning for ECG Classification Based on the PTB-XL Dataset.

Krzysztof Palczynski, Sandra Smigiel, Damian Ledzinski, Slawomir Bujnowski

Sensors, 2022

Entropy Measurements for Leukocytes' Surrounding Informativeness Evaluation for Acute Lymphoblastic Leukemia Classification.

Krzysztof Palczynski, Damian Ledzinski, Tomasz Andrysiak

Entropy, 2022

Analysis of Long-Range Forecast Strategies for IoT on Urban Water Consumption Prediction Task.

Krzysztof Palczynski, Tomasz Andrysiak, Marcin Glowacki, Michal Kierul, Tomasz Kierul

Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022), 2022

2021

Deep Learning Techniques in the Classification of ECG Signals Using R-Peak Detection Based on the PTB-XL Dataset.

Sandra Smigiel, Krzysztof Palczynski, Damian Ledzinski

Sensors, 2021

IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification.

Krzysztof Palczynski, Sandra Smigiel, Marta Gackowska, Damian Ledzinski, Slawomir Bujnowski, Zbigniew Lutowski

Sensors, 2021

ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset.

Sandra Smigiel, Krzysztof Palczynski, Damian Ledzinski

Entropy, 2021

Queueing theory model of Krebs cycle.

Sylwester Kloska, Krzysztof Palczynski, Tomasz Marciniak, Tomasz Talaska, Marissa Nitz, Beata J. Wysocki, Paul H. Davis, Tadeusz A. Wysocki

Bioinform., 2021

Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network.

Piotr Cofta, Tomasz Marciniak, Krzysztof Palczynski

Proceedings of the Computational Science - ICCS 2021, 2021