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ORCIDLukasz Sosnowski
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2020 – today
- 2024
[j4]Soma Dutta
, Andrzej Skowron, Lukasz Sosnowski:
Medical decision support in the light of interactive granular computing: Lessons from the Ovufriend project. Int. J. Approx. Reason. 165: 109103 (2024)- 2023
- [c20]Lukasz Sosnowski, Soma Dutta, Iwona Szymusik, Wojciech Chaber, Paulina Kasprowicz:
Interactive, Personalized Decision Support in Analyzing Women's Menstrual Disorders. FedCSIS (Communication Papers) 2023: 273-280 - 2022
- [c19]Lukasz Sosnowski, Soma Dutta, Iwona Szymusik:
Analysis for Women's' Menstrual Health Disorders Using Artificial Intelligence. ISM@FedCSIS 2022: 71-90 - [c18]Lukasz Sosnowski, Joanna Zulawinska, Soma Dutta, Iwona Szymusik, Aleksandra Zygula, Elzbieta Bambul-Mazurek:
Artificial Intelligence in Personalized Healthcare Analysis for Womens' Menstrual Health Disorders. FedCSIS 2022: 751-760 - 2021
- [c17]Lukasz Sosnowski, Jakub Wróblewski:
Toward automatic assessment of a risk of women's health disorders based on ontology decision models and menstrual cycle analysis. IEEE BigData 2021: 5544-5552 - 2020
- [c16]Lukasz Sosnowski, Tomasz Penza:
Generating Fuzzy Linguistic Summaries for Menstrual Cycles. FedCSIS 2020: 119-128 - [c15]Lukasz Sosnowski, Iwona Szymusik, Tomasz Penza:
Network of Fuzzy Comparators for Ovulation Window Prediction. IPMU (3) 2020: 800-813
2010 – 2019
- 2019
- [j3]Lukasz Sosnowski:
Compound Objects Comparators in Application to Similarity Detection and Object Recognition. Trans. Rough Sets 21: 169-300 (2019) - [c14]Joanna Fedorowicz, Lukasz Sosnowski, Dominik Slezak, Iwona Szymusik, Wojciech Chaber, Lukasz Milobedzki, Tomasz Penza, Jadwiga Sosnowska, Katarzyna Wójcicka, Karol Zaleski:
Multivariate Ovulation Window Detection at OvuFriend. IJCRS 2019: 395-408 - 2018
- [c13]Lukasz Sosnowski, Wojciech Chaber, Lukasz Milobedzki, Tomasz Penza, Jadwiga Sosnowska, Karol Zaleski, Joanna Fedorowicz, Iwona Szymusik, Dominik Slezak:
Similarity-based Detection of Fertile Days at OvuFriend. IEEE BigData 2018: 2663-2668 - [c12]Lukasz Sosnowski, Julian Skirzynski:
Object [Re]Cognition with Similarity. IPMU (2) 2018: 443-454 - [c11]Lukasz Sosnowski, Marcin S. Szczuka:
Defuzzyfication in Interpretation of Comparator Networks. IPMU (2) 2018: 467-479 - 2017
- [c10]Lukasz Sosnowski, Dominik Slezak:
Learning in Comparator Networks. EUSFLAT/IWIFSGN (3) 2017: 316-327 - 2016
- [c9]Lukasz Sosnowski, Marcin S. Szczuka:
Recognition of Compound Objects Based on Network of Comparators. FedCSIS (Position Papers) 2016: 33-40 - 2015
- [j2]Lukasz Sosnowski:
Framework of compound object comparators. Intell. Decis. Technol. 9(4): 343-363 (2015) - [c8]Lukasz Sosnowski, Marcin S. Szczuka, Dominik Slezak:
Granular modeling with fuzzy comparators. IEEE BigData 2015: 1550-1555 - [c7]Lukasz Sosnowski, Dominik Slezak:
Fuzzy Set Interpretation of Comparator Networks. PReMI 2015: 345-353 - 2014
- [j1]Marcin S. Szczuka, Lukasz Sosnowski, Adam Krasuski, Karol Krenski:
Using Domain Knowledge in Initial Stages of KDD: Optimization of Compound Object Processing. Fundam. Informaticae 129(4): 341-364 (2014) - [c6]Lukasz Sosnowski, Andrzej Pietruszka, Adam Krasuski, Andrzej Janusz:
A Resemblance Based Approach for Recognition of Risks at a Fire Ground. AMT 2014: 559-570 - [c5]Lukasz Sosnowski, Andrzej Pietruszka, Stanislaw Lazowy:
Election Algorithms Applied to the Global Aggregation in Networks of Comparators. FedCSIS 2014: 135-144 - 2013
- [c4]Lukasz Sosnowski, Dominik Slezak:
How to Design a Network of Comparators. Brain and Health Informatics 2013: 389-398 - [c3]Lukasz Sosnowski, Dominik Slezak:
Networks of compound object comparators. FUZZ-IEEE 2013: 1-8 - 2011
- [c2]Lukasz Sosnowski, Dominik Slezak:
Comparators for Compound Object Identification. RSFDGrC 2011: 342-349 - 2010
- [c1]Dominik Slezak, Lukasz Sosnowski:
SQL-Based Compound Object Comparators: A Case Study of Images Stored in ICE. FGIT-ASEA 2010: 303-316
Coauthor Index
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