Adam Gacek

According to our database, Adam Gacek authored at least 41 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Modeling and analysis of cardioimpedance signals using polynomial models and fuzzy rule-based models.

Dan Wang, Xiubin Zhu, Witold Pedrycz, Adam Gacek, Aleksander Sobotnicki, Zhiwu Li

Appl. Soft Comput., September, 2023

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

Proceedings of the Latest Developments and Challenges in Biomedical Engineering, 2023

2022

A Hierarchical Approach to Interpretability of TS Rule-Based Models.

Witold Pedrycz, Adam Gacek, Xianmin Wang

IEEE Trans. Fuzzy Syst., 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

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

Time Series Reconstruction and Classification: A Comprehensive Comparative Study.

Jinbo Li, Witold Pedrycz, Adam Gacek

Appl. Intell., 2022

2021

Design of Interval Type-2 Information Granules Based on the Principle of Justifiable Granularity.

Bowen Zhang, Witold Pedrycz, Xianmin Wang, Adam Gacek

IEEE Trans. Fuzzy Syst., 2021

Granular Aggregation of Fuzzy Rule-Based Models in Distributed Data Environment.

Bowen Zhang, Witold Pedrycz, Aminah Robinson Fayek, Adam Gacek, Yucheng Dong

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

Aggregation of Order-2 Fuzzy Sets.

Witold Pedrycz, Adam Gacek, Xianmin Wang

IEEE Trans. Fuzzy Syst., 2021

2020

Hyperplane Division in Fuzzy C-Means: Clustering Big Data.

Yinghua Shen, Witold Pedrycz, Yuan Chen, Xianmin Wang, Adam Gacek

IEEE Trans. Fuzzy Syst., 2020

2019

Clustering of Information Granules in Hotspot Identification.

Yinghua Shen, Witold Pedrycz, Ronei Marcos de Moraes, Xingchen Hu, Xianmin Wang, Adam Gacek

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

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

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

2017

A two-phase method of forming a granular representation of signals.

Shuai Liu, Witold Pedrycz, Adam Gacek, Yaping Dai

Signal Process., 2017

2016

From numeric data to information granules: A design through clustering and the principle of justifiable granularity.

Xin Wang, Witold Pedrycz, Adam Gacek, Xiaodong Liu

Knowl. Based Syst., 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

Proceedings of the 2016 MIXDES, 2016

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

Proceedings of the 2016 MIXDES, 2016

2015

Clustering Granular Data and Their Characterization With Information Granules of Higher Type.

Adam Gacek, Witold Pedrycz

IEEE Trans. Fuzzy Syst., 2015

Erratum to: Description, analysis, and classification of biomedical signals: a computational intelligence approach.

Adam Gacek, Witold Pedrycz

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

Signal processing and time series description: A Perspective of Computational Intelligence and Granular Computing.

Adam Gacek

Appl. Soft Comput., 2015

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

2013

Description, analysis, and classification of biomedical signals: a computational intelligence approach.

Adam Gacek, Witold Pedrycz

Soft Comput., 2013

Granular modelling of signals: A framework of Granular Computing.

Adam Gacek

Inf. Sci., 2013

Data structure-guided development of electrocardiographic signal characterization and classification.

Adam Gacek

Artif. Intell. Medicine, 2013

From clustering to granular clustering: A granular representation of data in pattern recognition and system modeling.

Adam Gacek

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012

A characterization of electrocardiogram signals through optimal allocation of information granularity.

Adam Gacek, Witold Pedrycz

Artif. Intell. Medicine, 2012

2011

Preprocessing and analysis of ECG signals - A self-organizing maps approach.

Adam Gacek

Expert Syst. Appl., 2011

2008

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

Proceedings of the Computer Recognition Systems 2, 2008

2006

A Granular Description of ECG Signals.

Adam Gacek, Witold Pedrycz

IEEE Trans. Biomed. Eng., 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

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

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

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

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Multi-Channels Time-Domain-Constrained Fuzzy <i>c</i> -Regression Models.

Aleksander J. Owczarek, Adam Gacek, Jacek M. Leski

Proceedings of the Computer Recognition Systems, 2005

2004

Computationally effective algorithm for robust weighted averaging.

Jacek M. Leski, Adam Gacek

IEEE Trans. Biomed. Eng., 2004

2003

A genetic segmentation of ECG signals.

Adam Gacek, Witold Pedrycz

IEEE Trans. Biomed. Eng., 2003

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

Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

2002

Temporal granulation and its application to signal analysis.

Witold Pedrycz, Adam Gacek

Inf. Sci., 2002

2001

Learning of Fuzzy Automata.

Witold Pedrycz, Adam Gacek

Int. J. Comput. Intell. Appl., 2001

2000

Information Granulation for Concept Formation.

Witold Pedrycz, Athanasios V. Vasilakos, Adam Gacek

Proceedings of the Applied Computing 2000, 2000