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Adam Gacek
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2020 – today
- 2023
- [j30]Dan Wang, Xiubin Zhu
, Witold Pedrycz, Adam Gacek, Aleksander Sobotnicki, Zhiwu Li
Modeling and analysis of cardioimpedance signals using polynomial models and fuzzy rule-based models. Appl. Soft Comput. 144: 110482 (2023) - [c10]Ewelina Sobotnicka
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. PCBBE 2023: 395-405 - 2022
- [j29]Jinbo Li
Time Series Reconstruction and Classification: A Comprehensive Comparative Study. Appl. Intell. 52(9): 10082-10097 (2022) - [j28]Ilona Karpiel
An Effective Method of Detecting Characteristic Points of Impedance Cardiogram Verified in the Clinical Pilot Study. Sensors 22(24): 9872 (2022) - [j27]Xingchen Hu, Yinghua Shen
Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering. IEEE Trans. Cybern. 52(7): 6406-6419 (2022) - [j26]Witold Pedrycz
A Hierarchical Approach to Interpretability of TS Rule-Based Models. IEEE Trans. Fuzzy Syst. 30(8): 2861-2869 (2022) - 2021
- [j25]Bowen Zhang
Granular Aggregation of Fuzzy Rule-Based Models in Distributed Data Environment. IEEE Trans. Fuzzy Syst. 29(5): 1297-1310 (2021) - [j24]Bowen Zhang
Design of Interval Type-2 Information Granules Based on the Principle of Justifiable Granularity. IEEE Trans. Fuzzy Syst. 29(11): 3456-3469 (2021) - [j23]Yinghua Shen
Identification of Fuzzy Rule-Based Models With Output Space Knowledge Guidance. IEEE Trans. Fuzzy Syst. 29(11): 3504-3518 (2021) - [j22]Witold Pedrycz
Aggregation of Order-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 29(11): 3570-3575 (2021) - 2020
- [j21]Yinghua Shen
Hyperplane Division in Fuzzy C-Means: Clustering Big Data. IEEE Trans. Fuzzy Syst. 28(11): 3032-3046 (2020)
2010 – 2019
- 2019
- [c9]Yinghua Shen
Clustering of Information Granules in Hotspot Identification. FUZZ-IEEE 2019: 1-6 - 2018
- [j20]Shuai Liu, Witold Pedrycz, Adam Gacek
Development of information granules of higher type and their applications to granular models of time series. Eng. Appl. Artif. Intell. 71: 60-72 (2018) - [j19]Sana Ullah, Witold Pedrycz, George K. Karagiannidis
Guest Editorial Special Issue on Communications Technologies and Infrastructures for Smart e-Health Systems. IEEE Syst. J. 12(1): 16-19 (2018) - 2017
- [j18]Shuai Liu, Witold Pedrycz, Adam Gacek
A two-phase method of forming a granular representation of signals. Signal Process. 141: 1-15 (2017) - 2016
- [j17]Xin Wang, Witold Pedrycz, Adam Gacek
From numeric data to information granules: A design through clustering and the principle of justifiable granularity. Knowl. Based Syst. 101: 100-113 (2016) - [c8]Barbara Szuster, Zbigniew Szczurek, Pawel Kowalski, Adam Gacek
Monitoring changes of pulse wave velocity PWV in medical telemonitoring system based on a synchronized, dispersed sensor network SWBAN. MIXDES 2016: 510-514 - [c7]Jerzy Galecka, Dawid Roj, Janusz Wrobel
New filtering approach for improving quality of the ECG signal recorded during a non-invasive electrical heart stimulation. MIXDES 2016: 519-524 - 2015
- [j16]Adam Gacek
Corrigendum to "A characterization of electrocardiogram signals through optimal allocation of information granularity" [Artif. Intell. Med. 54(2012) 125-134]. Artif. Intell. Medicine 64(3): 227 (2015) - [j15]Adam Gacek
Signal processing and time series description: A Perspective of Computational Intelligence and Granular Computing. Appl. Soft Comput. 27: 590-601 (2015) - [j14]Witold Pedrycz, Adam Gacek
Clustering in augmented space of granular constraints: A study in knowledge-based clustering. Pattern Recognit. Lett. 67: 122-129 (2015) - [j13]Adam Gacek
Erratum to: Description, analysis, and classification of biomedical signals: a computational intelligence approach. Soft Comput. 19(10): 3029 (2015) - [j12]Adam Gacek
Clustering Granular Data and Their Characterization With Information Granules of Higher Type. IEEE Trans. Fuzzy Syst. 23(4): 850-860 (2015) - 2013
- [j11]Adam Gacek
Data structure-guided development of electrocardiographic signal characterization and classification. Artif. Intell. Medicine 59(3): 197-204 (2013) - [j10]Adam Gacek
Granular modelling of signals: A framework of Granular Computing. Inf. Sci. 221: 1-11 (2013) - [j9]Adam Gacek
Description, analysis, and classification of biomedical signals: a computational intelligence approach. Soft Comput. 17(9): 1659-1671 (2013) - [c6]Adam Gacek
From clustering to granular clustering: A granular representation of data in pattern recognition and system modeling. IFSA/NAFIPS 2013: 502-506 - 2012
- [j8]Adam Gacek
A characterization of electrocardiogram signals through optimal allocation of information granularity. Artif. Intell. Medicine 54(2): 125-134 (2012) - 2011
- [j7]Adam Gacek
Preprocessing and analysis of ECG signals - A self-organizing maps approach. Expert Syst. Appl. 38(7): 9008-9013 (2011)
2000 – 2009
- 2008
- [p1]Michal Jezewski
The Prediction of Fetal Outcome by Applying Neural Network for Evaluation of CTG Records. Computer Recognition Systems 2 2008: 532-541 - 2006
- [j6]Adam Matonia, Janusz Jezewski
The influence of coincidence of fetal and maternal QRS complexes on fetal heart rate reliability. Medical Biol. Eng. Comput. 44(5): 393-403 (2006) - [j5]Adam Gacek
A Granular Description of ECG Signals. IEEE Trans. Biomed. Eng. 53(10): 1972-1982 (2006) - [c5]Adam Matonia, Janusz Jezewski
The Maternal ECG Suppression Algorithm for Efficient Extraction of the Fetal ECG from Abdominal Signal. EMBC 2006: 3106-3109 - [c4]Tomasz Kupka
Evaluation of Fetal Heart Rate Baseline Estimation Method Using Testing Signals Based on a Statistical Model. EMBC 2006: 3728-3731 - 2005
- [c3]Aleksander J. Owczarek, Adam Gacek, Jacek M. Leski:
Multi-Channels Time-Domain-Constrained Fuzzy c -Regression Models. CORES 2005: 263-270 - 2004
- [j4]Jacek M. Leski
Computationally effective algorithm for robust weighted averaging. IEEE Trans. Biomed. Eng. 51(7): 1280-1284 (2004) - 2003
- [j3]Adam Gacek
A genetic segmentation of ECG signals. IEEE Trans. Biomed. Eng. 50(10): 1203-1208 (2003) - [c2]Janusz Jezewski
Analysis of nonstationarities in fetal heart rate signal: inconsistency measures of baselines using acceleration/deceleration patterns. ISSPA (2) 2003: 9-12 - 2002
- [j2]Witold Pedrycz, Adam Gacek
Temporal granulation and its application to signal analysis. Inf. Sci. 143(1-4): 47-71 (2002) - 2001
- [j1]Witold Pedrycz, Adam Gacek:
Learning of Fuzzy Automata. Int. J. Comput. Intell. Appl. 1(1): 19-33 (2001) - 2000
- [c1]Witold Pedrycz, Athanasios V. Vasilakos
Information Granulation for Concept Formation. SAC (1) 2000: 484-489
Coauthor Index
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