On two-stage parameter estimation in static system. - Jerzy Swiatek (IEEE Trans. Syst. Man Cybern., 1983)

Global Identification of Complex Systems with Cascade Structure. - Jerzy Swiatek (ICAISC, 2004)

Parameter Estimation of Systems Described by the Relation by Maximum Likelihood Method. - Jerzy Swiatek (ICAISC, 2006)

A Pattern Recognition Algorithm Used in Knowledge-Based Adaptive Control System to Select Strategy. - Krzysztof Brzostowski; Jerzy Swiatek (KES (2), 2007)

Global and Local Approach to Complex Systems Modeling Using Dynamic Neural Networks- Analogy with Multiagent Systems. - Jaroslaw Drapala; Jerzy Swiatek (KES (2), 2007)

Parameter Estimation of Systems Described by the Relation with Noisy Observations. - Jerzy Swiatek (J. Univers. Comput. Sci., 2007)

Stable Learning Algorithm of Global Neural Network for Identification of Dynamic Complex Systems. - Jaroslaw Drapala; Jerzy Swiatek; Krzysztof Brzostowski (ICAISC, 2008)

Making decisions in a two-stage identification system with knowledge updating. - Krzysztof Brzostowski; Jerzy Swiatek (Artif. Life Robotics, 2009)

Different Approaches to Model Relationship Between EMG Signals and Force Moments in Human Skeletal Muscle. Analysis for Diagnosis of Neuronmuscular Disorders. - Krzysztof Brzostowski; Jerzy Swiatek (Fundam. Informaticae, 2009)

Static and dynamic complex models: comparison and application to chemical systems. - Grzegorz Dralus; Jerzy Swiatek (Kybernetes, 2009)

Selected Problems of the Static Complex Systems Identification. - Jerzy Swiatek (ACIIDS (1), 2010)

Personalisation in Service-Oriented Systems Using Markov Chain Model and Bayesian Inference. - Jakub M. Tomczak; Jerzy Swiatek (DoCEIS, 2011)

System Analysis Techniques in eHealth Systems: A Case Study. - Krzysztof Brzostowski; Jaroslaw Drapala; Jerzy Swiatek (ACIIDS (1), 2012)

Ensemble Classifier for Solving Credit Scoring Problems. - Maciej Zieba; Jerzy Swiatek (DoCEIS, 2012)

Gaussian process regression as a predictive model for Quality-of-Service in Web service systems - Jakub M. Tomczak; Jerzy Swiatek; Krzysztof J. Latawiec (CoRR, 2012)

Ensemble SVM for imbalanced data and missing values in postoperative risk management. - Maciej Zieba; Jerzy Swiatek (Healthcom, 2013)

Cost Sensitive SVM with Non-informative Examples Elimination for Imbalanced Postoperative Risk Management Problem. - Maciej Zieba; Jerzy Swiatek; Marek Lubicz (ICSS, 2013)

Application of Nonlinear State Estimation Methods for Sport Training Support. - Krzysztof Brzostowski; Jaroslaw Drapala; Jerzy Swiatek (ACIIDS (1), 2014)

Accelerated learning for Restricted Boltzmann Machine with momentum term. - Szymon Zareba; Adam Gonczarek; Jakub M. Tomczak; Jerzy Swiatek (ICSEng, 2014)

Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients. - Maciej Zieba; Jakub M. Tomczak; Marek Lubicz; Jerzy Swiatek (Appl. Soft Comput., 2014)

Algorithm to Plan Athlete's Prolonged Training Based on Model of Physiological Response. - Krzysztof Brzostowski; Jaroslaw Drapala; Grzegorz Dziedzic; Jerzy Swiatek (ACIIDS (1), 2015)

Test Scenarios and Validation Results of POP Methodology. - Grzegorz Kolaczek; Pawel Swiatek; Jerzy Swiatek; Krzysztof Brzostowski; Adam Grzech; Arkadiusz Slawek (ISAT (3), 2015)

Self-paced Learning for Imbalanced Data. - Maciej Zieba; Jakub M. Tomczak; Jerzy Swiatek (ACIIDS (1), 2016)

Empirical Mode Decomposition Based Denoising Algorithm for Fibre Optical Gyroscope Measurement. - Krzysztof Brzostowski; Jerzy Swiatek (ICSEng, 2017)

Generative Adversarial Networks: Recent Developments. - Maciej Zamorski; Adrian Zdobylak; Maciej Zieba; Jerzy Swiatek (ICAISC (1), 2019)

Comparison of Aggregation Functions for 3D Point Clouds Classification. - Maciej Zamorski; Maciej Zieba; Jerzy Swiatek (ACIIDS (1), 2020)

Generative Modeling in Application to Point Cloud Completion. - Maciej Zamorski; Maciej Zieba; Jerzy Swiatek (ICAISC (1), 2020)

Improving Variational Mode Decomposition-Based Signal Enhancement with the Use of Total Variation Denoising. - Krzysztof Brzostowski; Jerzy Swiatek (IEA/AIE, 2020)

A Simple-Units Complex-Structure Neural Network model of the Basal Ganglia to simulate reinforcement learning tasks. - Jaroslaw Drapala; Dorota Frydecka; Jerzy Swiatek (KES, 2021)

Dictionary adaptation and variational mode decomposition for gyroscope signal enhancement. - Krzysztof Brzostowski; Jerzy Swiatek (Appl. Intell., 2021)

Generating synthetic mixed-type tabular data by decoding samples from a latent-space: a case study in healthcare. - Jaroslaw Drapala; Jerzy Swiatek (KES, 2024)