SQL-Based Compound Object Comparators: A Case Study of Images Stored in ICE. - Dominik Slezak; Lukasz Sosnowski (FGIT-ASEA, 2010)

Comparators for Compound Object Identification. - Lukasz Sosnowski; Dominik Slezak (RSFDGrC, 2011)

How to Design a Network of Comparators. - Lukasz Sosnowski; Dominik Slezak (Brain and Health Informatics, 2013)

Networks of compound object comparators. - Lukasz Sosnowski; Dominik Slezak (FUZZ-IEEE, 2013)

A Resemblance Based Approach for Recognition of Risks at a Fire Ground. - Lukasz Sosnowski; Andrzej Pietruszka; Adam Krasuski; Andrzej Janusz (AMT, 2014)

Election Algorithms Applied to the Global Aggregation in Networks of Comparators. - Lukasz Sosnowski; Andrzej Pietruszka; Stanislaw Lazowy (FedCSIS, 2014)

Using Domain Knowledge in Initial Stages of KDD: Optimization of Compound Object Processing. - Marcin S. Szczuka; Lukasz Sosnowski; Adam Krasuski; Karol Krenski (Fundam. Informaticae, 2014)

Granular modeling with fuzzy comparators. - Lukasz Sosnowski; Marcin S. Szczuka; Dominik Slezak (IEEE BigData, 2015)

Fuzzy Set Interpretation of Comparator Networks. - Lukasz Sosnowski; Dominik Slezak (PReMI, 2015)

Framework of compound object comparators. - Lukasz Sosnowski (Intell. Decis. Technol., 2015)

Recognition of Compound Objects Based on Network of Comparators. - Lukasz Sosnowski; Marcin S. Szczuka (FedCSIS (Position Papers), 2016)

Learning in Comparator Networks. - Lukasz Sosnowski; Dominik Slezak (EUSFLAT/IWIFSGN (3), 2017)

Similarity-based Detection of Fertile Days at OvuFriend. - Lukasz Sosnowski; Wojciech Chaber; Lukasz Milobedzki; Tomasz Penza; Jadwiga Sosnowska; Karol Zaleski; Joanna Fedorowicz; Iwona Szymusik; Dominik Slezak (IEEE BigData, 2018)

Object [Re]Cognition with Similarity. - Lukasz Sosnowski; Julian Skirzynski (IPMU (2), 2018)

Defuzzyfication in Interpretation of Comparator Networks. - Lukasz Sosnowski; Marcin S. Szczuka (IPMU (2), 2018)

Multivariate Ovulation Window Detection at OvuFriend. - Joanna Fedorowicz; Lukasz Sosnowski; Dominik Slezak; Iwona Szymusik; Wojciech Chaber; Lukasz Milobedzki; Tomasz Penza; Jadwiga Sosnowska; Katarzyna Wójcicka; Karol Zaleski (IJCRS, 2019)

Compound Objects Comparators in Application to Similarity Detection and Object Recognition. - Lukasz Sosnowski (Trans. Rough Sets, 2019)

Generating Fuzzy Linguistic Summaries for Menstrual Cycles. - Lukasz Sosnowski; Tomasz Penza (FedCSIS, 2020)

Network of Fuzzy Comparators for Ovulation Window Prediction. - Lukasz Sosnowski; Iwona Szymusik; Tomasz Penza (IPMU (3), 2020)

Toward automatic assessment of a risk of women's health disorders based on ontology decision models and menstrual cycle analysis. - Lukasz Sosnowski; Jakub Wróblewski (IEEE BigData, 2021)

Analysis for Women's' Menstrual Health Disorders Using Artificial Intelligence. - Lukasz Sosnowski; Soma Dutta; Iwona Szymusik (ISM@FedCSIS, 2022)

Artificial Intelligence in Personalized Healthcare Analysis for Womens' Menstrual Health Disorders. - Lukasz Sosnowski; Joanna Zulawinska; Soma Dutta; Iwona Szymusik; Aleksandra Zygula; Elzbieta Bambul-Mazurek (FedCSIS, 2022)

Interactive, Personalized Decision Support in Analyzing Women's Menstrual Disorders. - Lukasz Sosnowski; Soma Dutta; Iwona Szymusik; Wojciech Chaber; Paulina Kasprowicz (FedCSIS (Communication Papers), 2023)

Premenstrual Syndrome Detection Based on Granular Computing and AI in Home Environment. - Lukasz Sosnowski; Iwona Szymusik (IEEE Big Data, 2024)

Medical decision support in the light of interactive granular computing: Lessons from the Ovufriend project. - Soma Dutta; Andrzej Skowron; Lukasz Sosnowski (Int. J. Approx. Reason., 2024)