Information Granulation for Concept Formation. - Witold Pedrycz; Athanasios V. Vasilakos; Adam Gacek (SAC (1), 2000)

Learning of Fuzzy Automata. - Witold Pedrycz; Adam Gacek (Int. J. Comput. Intell. Appl., 2001)

Temporal granulation and its application to signal analysis. - Witold Pedrycz; Adam Gacek (Inf. Sci., 2002)

Analysis of nonstationarities in fetal heart rate signal: inconsistency measures of baselines using acceleration/deceleration patterns. - Janusz Jezewski; Krzysztof Horoba; Adam Gacek; Janusz Wrobel; Adam Matonia; Tomasz Kupka (ISSPA (2), 2003)

A genetic segmentation of ECG signals. - Adam Gacek; Witold Pedrycz (IEEE Trans. Biomed. Eng., 2003)

Computationally effective algorithm for robust weighted averaging. - Jacek M. Leski; Adam Gacek (IEEE Trans. Biomed. Eng., 2004)

Multi-Channels Time-Domain-Constrained Fuzzy c -Regression Models. - Aleksander J. Owczarek; Adam Gacek; Jacek M. Leski (CORES, 2005)

Evaluation of Fetal Heart Rate Baseline Estimation Method Using Testing Signals Based on a Statistical Model. - Tomasz Kupka; Janusz Wrobel; Janusz Jezewski; Adam Gacek; Michal Jezewski (EMBC, 2006)

The Maternal ECG Suppression Algorithm for Efficient Extraction of the Fetal ECG from Abdominal Signal. - Adam Matonia; Janusz Jezewski; Krzysztof Horoba; Adam Gacek; Pawel Labaj (EMBC, 2006)

The influence of coincidence of fetal and maternal QRS complexes on fetal heart rate reliability. - Adam Matonia; Janusz Jezewski; Tomasz Kupka; Krzysztof Horoba; Janusz Wrobel; Adam Gacek (Medical Biol. Eng. Comput., 2006)

A Granular Description of ECG Signals. - Adam Gacek; Witold Pedrycz (IEEE Trans. Biomed. Eng., 2006)

The Prediction of Fetal Outcome by Applying Neural Network for Evaluation of CTG Records. - Michal Jezewski; Janusz Wrobel; Krzysztof Horoba; Adam Gacek; Norbert Henzel; Jacek M. Leski (Computer Recognition Systems 2, 2008)

Preprocessing and analysis of ECG signals - A self-organizing maps approach. - Adam Gacek (Expert Syst. Appl., 2011)

A characterization of electrocardiogram signals through optimal allocation of information granularity. - Adam Gacek; Witold Pedrycz (Artif. Intell. Medicine, 2012)

From clustering to granular clustering: A granular representation of data in pattern recognition and system modeling. - Adam Gacek (IFSA/NAFIPS, 2013)

Data structure-guided development of electrocardiographic signal characterization and classification. - Adam Gacek (Artif. Intell. Medicine, 2013)

Granular modelling of signals: A framework of Granular Computing. - Adam Gacek (Inf. Sci., 2013)

Description, analysis, and classification of biomedical signals: a computational intelligence approach. - Adam Gacek; Witold Pedrycz (Soft Comput., 2013)

Corrigendum to "A characterization of electrocardiogram signals through optimal allocation of information granularity" [Artif. Intell. Med. 54(2012) 125-134]. - Adam Gacek; Witold Pedrycz (Artif. Intell. Medicine, 2015)

Signal processing and time series description: A Perspective of Computational Intelligence and Granular Computing. - Adam Gacek (Appl. Soft Comput., 2015)

Clustering in augmented space of granular constraints: A study in knowledge-based clustering. - Witold Pedrycz; Adam Gacek; Xianmin Wang (Pattern Recognit. Lett., 2015)

Erratum to: Description, analysis, and classification of biomedical signals: a computational intelligence approach. - Adam Gacek; Witold Pedrycz (Soft Comput., 2015)

Clustering Granular Data and Their Characterization With Information Granules of Higher Type. - Adam Gacek; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2015)

New filtering approach for improving quality of the ECG signal recorded during a non-invasive electrical heart stimulation. - Jerzy Galecka; Dawid Roj; Janusz Wrobel; Fryderyk Prochaczek; Adam Gacek (MIXDES, 2016)

Monitoring changes of pulse wave velocity PWV in medical telemonitoring system based on a synchronized, dispersed sensor network SWBAN. - Barbara Szuster; Zbigniew Szczurek; Pawel Kowalski; Adam Gacek; Bartlomiej Kubik; Andrzej Michnik; Rafal Wisniowski (MIXDES, 2016)

From numeric data to information granules: A design through clustering and the principle of justifiable granularity. - Xin Wang 074; Witold Pedrycz; Adam Gacek; Xiaodong Liu 001 (Knowl. Based Syst., 2016)

A two-phase method of forming a granular representation of signals. - Shuai Liu; Witold Pedrycz; Adam Gacek; Yaping Dai (Signal Process., 2017)

Development of information granules of higher type and their applications to granular models of time series. - Shuai Liu; Witold Pedrycz; Adam Gacek; Yaping Dai (Eng. Appl. Artif. Intell., 2018)

Guest Editorial Special Issue on Communications Technologies and Infrastructures for Smart e-Health Systems. - Sana Ullah; Witold Pedrycz; George K. Karagiannidis; Han-Chieh Chao; Adam Gacek; Christos V. Verikoukis (IEEE Syst. J., 2018)

Clustering of Information Granules in Hotspot Identification. - Yinghua Shen; Witold Pedrycz; Ronei Marcos de Moraes; Xingchen Hu; Xianmin Wang; Adam Gacek (FUZZ-IEEE, 2019)

Hyperplane Division in Fuzzy C-Means: Clustering Big Data. - Yinghua Shen; Witold Pedrycz; Yuan Chen; Xianmin Wang; Adam Gacek (IEEE Trans. Fuzzy Syst., 2020)

Aggregation of Order-2 Fuzzy Sets. - Witold Pedrycz; Adam Gacek; Xianmin Wang (IEEE Trans. Fuzzy Syst., 2021)

Identification of Fuzzy Rule-Based Models With Output Space Knowledge Guidance. - Yinghua Shen; Witold Pedrycz; Xuyang Jing; Adam Gacek; Xianmin Wang; Bingsheng Liu (IEEE Trans. Fuzzy Syst., 2021)

Granular Aggregation of Fuzzy Rule-Based Models in Distributed Data Environment. - Bowen Zhang 003; Witold Pedrycz; Aminah Robinson Fayek; Adam Gacek; Yucheng Dong (IEEE Trans. Fuzzy Syst., 2021)

Design of Interval Type-2 Information Granules Based on the Principle of Justifiable Granularity. - Bowen Zhang 003; Witold Pedrycz; Xianmin Wang; Adam Gacek (IEEE Trans. Fuzzy Syst., 2021)

Time Series Reconstruction and Classification: A Comprehensive Comparative Study. - Jinbo Li; Witold Pedrycz; Adam Gacek (Appl. Intell., 2022)

An Effective Method of Detecting Characteristic Points of Impedance Cardiogram Verified in the Clinical Pilot Study. - Ilona Karpiel; Monika Richter-Laskowska; Daniel Feige; Adam Gacek; Aleksander Sobotnicki (Sensors, 2022)

Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering. - Xingchen Hu; Yinghua Shen; Witold Pedrycz; Xianmin Wang; Adam Gacek; Bingsheng Liu (IEEE Trans. Cybern., 2022)

A Hierarchical Approach to Interpretability of TS Rule-Based Models. - Witold Pedrycz; Adam Gacek; Xianmin Wang (IEEE Trans. Fuzzy Syst., 2022)

Measurement of Blood Flow in the Carotid Artery as one of the Elements of Assessing the Ability for Pilots in the Gravitational Force Conditions-Review of Available Solutions. - Ewelina Sobotnicka; Jan Mocha; Aleksander Sobotnicki; Jerzy Galecka; Adam Gacek (PCBBE, 2023)

Modeling and analysis of cardioimpedance signals using polynomial models and fuzzy rule-based models. - Dan Wang 016; Xiubin Zhu; Witold Pedrycz; Adam Gacek; Aleksander Sobotnicki; Zhiwu Li 001 (Appl. Soft Comput., 2023)

Detecting Characteristic Points for the Analysis of Bioimpedance Signal Through a Synergy of Fuzzy Rule-Based Models and Granular Neural Networks. - Dan Wang 016; Monika Richter; Xiubin Zhu; Witold Pedrycz; Adam Gacek; Aleksander Sobotnicki; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2025)