| ECG signal processing, classification and interpretation: a comprehensive framework of computational intelligence A Gacek, W Pedrycz Springer Science & Business Media, 2011 | 296 | 2011 |
| Temporal granulation and its application to signal analysis W Pedrycz, A Gacek Information Sciences 143 (1-4), 47-71, 2002 | 76 | 2002 |
| The influence of coincidence of fetal and maternal QRS complexes on fetal heart rate reliability A Matonia, J Jezewski, T Kupka, K Horoba, J Wrobel, A Gacek Medical and Biological Engineering and Computing 44 (5), 393-403, 2006 | 70 | 2006 |
| Clustering granular data and their characterization with information granules of higher type A Gacek, W Pedrycz IEEE Transactions on Fuzzy Systems 23 (4), 850-860, 2014 | 52 | 2014 |
| Learning of fuzzy automata W Pedrycz, A Gacek International Journal of Computational Intelligence and Applications 1 (01 …, 2001 | 52 | 2001 |
| From numeric data to information granules: A design through clustering and the principle of justifiable granularity X Wang, W Pedrycz, A Gacek, X Liu Knowledge-Based Systems 101, 100-113, 2016 | 51 | 2016 |
| The maternal ECG suppression algorithm for efficient extraction of the fetal ECG from abdominal signal A Matonia, J Jezewski, K Horoba, A Gacek, P Labaj 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 51 | 2006 |
| Granular modelling of signals: a framework of granular computing A Gacek Information Sciences 221, 1-11, 2013 | 46 | 2013 |
| A granular description of ECG signals A Gacek, W Pedrycz IEEE Transactions on Biomedical Engineering 53 (10), 1972-1982, 2006 | 39 | 2006 |
| A genetic segmentation of ECG signals A Gacek, W Pedrycz IEEE transactions on biomedical engineering 50 (10), 1203-1208, 2003 | 35 | 2003 |
| Development of information granules of higher type and their applications to granular models of time series S Liu, W Pedrycz, A Gacek, Y Dai Engineering Applications of Artificial Intelligence 71, 60-72, 2018 | 34 | 2018 |
| Fetal heart rate variability: clinical experts versus computerized system interpretation J Jezewski, J Wrobel, K Horoba, A Gacek, J Sikora Proceedings of the Second Joint 24th Annual Conference and the Annual Fall …, 2002 | 31 | 2002 |
| An introduction to ECG signal processing and analysis A Gacek ECG Signal Processing, Classification and Interpretation, 21-46, 2012 | 30 | 2012 |
| Identification of fuzzy rule-based models with collaborative fuzzy clustering X Hu, Y Shen, W Pedrycz, X Wang, A Gacek, B Liu IEEE Transactions on Cybernetics, 2021 | 26 | 2021 |
| Hyperplane division in fuzzy C-means: Clustering big data Y Shen, W Pedrycz, Y Chen, X Wang, A Gacek IEEE Transactions on Fuzzy Systems 28 (11), 3032-3046, 2019 | 26 | 2019 |
| A new approach to cardiotocographic fetal monitoring based on analysis of bioelectrical signals J Jezewski, K Horoba, A Matonia, A Gacek, M Bernys Proceedings of the 25th Annual International Conference of the IEEE …, 2003 | 26 | 2003 |
| The prediction of fetal outcome by applying neural network for evaluation of CTG records M Jezewski, J Wrobel, K Horoba, A Gacek, N Henzel, J Leski Computer Recognition Systems 2, 532-541, 2007 | 22 | 2007 |
| Design of interval type-2 information granules based on the principle of justifiable granularity B Zhang, W Pedrycz, X Wang, A Gacek IEEE Transactions on Fuzzy Systems, 2020 | 21 | 2020 |
| Signal processing and time series description: a perspective of computational intelligence and granular computing A Gacek Applied Soft Computing 27, 590-601, 2015 | 20 | 2015 |
| Monitoring of mechanical and electrical activity of fetal heart: The nature of signals J Jezewski, J Wrobel, K Horoba, D Cholewa, A Gacek, T Kupka, ... Arch Perinat Med 8, 40-46, 2002 | 20 | 2002 |
