Local and global identification and interpretation of parameters in Takagi-Sugeno fuzzy models. - János Abonyi; Robert Babuska (FUZZ-IEEE, 2000)

Incorporating prior knowledge in fuzzy model identification. - János Abonyi; Robert Babuska; Henk B. Verbruggen; Ferenc Szeifert (Int. J. Syst. Sci., 2000)

Hybrid fuzzy convolution modelling and identification of chemical process systems. - János Abonyi; Lajos Nagy; Ferenc Szeifert (Int. J. Syst. Sci., 2000)

Compact TS - Fuzzy Models Through Clustering and OLS Plus FIS Model Reduction. - János Abonyi; Johannes A. Roubos; Marcel Oosterom; Ferenc Szeifert (FUZZ-IEEE, 2001)

Fuzzy model-based predictive control by instantaneous linearization. - János Abonyi; Lajos Nagy; Ferenc Szeifert (Fuzzy Sets Syst., 2001)

Fuzzy modeling with multivariate membership functions: gray-box identification and control design. - János Abonyi; Robert Babuska; Ferenc Szeifert (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models. - János Abonyi; Robert Babuska; Ferenc Szeifert (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Structure selection for nonlinear input-output models based on fuzzy cluster analysis. - János Abonyi; Robert Babugkao; Balazs Feil (FUZZ-IEEE, 2003)

Fuzzy Clustering Based Segmentation of Time-Series. - János Abonyi; Balazs Feil; Sándor Zoltán Németh; Peter Arva (IDA, 2003)

Process analysis and product quality estimation by Self-Organizing Maps with an application to polyethylene production. - János Abonyi; Sándor Zoltán Németh; Csaba Vincze; Peter Arva (Comput. Ind., 2003)

Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. - János Abonyi; Johannes A. Roubos; Ferenc Szeifert (Int. J. Approx. Reason., 2003)

Learning fuzzy classification rules from labeled data. - Johannes A. Roubos; Magne Setnes; János Abonyi (Inf. Sci., 2003)

Supervised fuzzy clustering for the identification of fuzzy classifiers. - János Abonyi; Ferenc Szeifert (Pattern Recognit. Lett., 2003)

FUZZSAM - visualization of fuzzy clustering results by modified Sammon mapping. - János Abonyi; Robert Babuska (FUZZ-IEEE, 2004)

Fuzzy clustering for selecting structure of nonlinear models with mixed discrete and continuous inputs. - Daniela Girimonte; Robert Babuska; János Abonyi (FUZZ-IEEE, 2004)

Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction. - Balazs Feil; János Abonyi; Peter Pach; Sándor Zoltán Németh; Peter Arva; Miklos Nemeth; Gabor Nagy (ICAISC, 2004)

State-space reconstruction and prediction of chaotic time series based on fuzzy clustering. - János Abonyi; Balazs Feil; Sándor Zoltán Németh; Peter Arva; Robert Babuska (SMC (3), 2004)

Tendency model-based improvement of the slave loop in cascade temperature control of batch process units. - János Madár; Ferenc Szeifert; Lajos Nagy; Tibor Chován; János Abonyi (Comput. Chem. Eng., 2004)

Effective optimization for fuzzy model predictive control. - Stanimir Mollov; Robert Babuska; János Abonyi; Henk B. Verbruggen (IEEE Trans. Fuzzy Syst., 2004)

Interactive Particle Swarm Optimization. - János Madár; János Abonyi; Ferenc Szeifert (ISDA, 2005)

Monitoring process transitions by Kalman filtering and time-series segmentation. - Balazs Feil; János Abonyi; Sándor Zoltán Németh; Peter Arva (Comput. Chem. Eng., 2005)

Interactive evolutionary computation in process engineering. - János Madár; János Abonyi; Ferenc Szeifert (Comput. Chem. Eng., 2005)

Feedback linearizing control using hybrid neural networks identified by sensitivity approach. - János Madár; János Abonyi; Ferenc Szeifert (Eng. Appl. Artif. Intell., 2005)

Modified Gath-Geva clustering for fuzzy segmentation of multivariate time-series. - János Abonyi; Balazs Feil; Sándor Zoltán Németh; Peter Arva (Fuzzy Sets Syst., 2005)

Computational Intelligence in Data Mining. - János Abonyi; Balazs Feil; Ajith Abraham (Informatica (Slovenia), 2005)

Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm. - Ágnes Vathy-Fogarassy; Attila Kiss 001; János Abonyi (FoIKS, 2006)

Additive Sequential Evolutionary Design of Experiments. - Balazs Balasko; János Madár; János Abonyi (ICAISC, 2006)

Process-Data-Warehousing-Based Operator Support System for Complex Production Technologies. - Peter Pach; Balazs Feil; Sándor Zoltán Németh; Peter Arva; János Abonyi (IEEE Trans. Syst. Man Cybern. Part A, 2006)

A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines. - Tamás Kenesei; Johannes A. Roubos; János Abonyi (IDEAL, 2007)

Visualization of Topology Representing Networks. - Ágnes Vathy-Fogarassy; Agnes Werner-Stark; Balázs Gaál; János Abonyi (IDEAL, 2007)

Fuzzy Clustering for the Identification of Hinging Hyperplanes Based Regression Trees. - Tamás Kenesei; Balazs Feil; János Abonyi (WILF, 2007)

Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity. - Ágnes Vathy-Fogarassy; Attila Kiss 001; János Abonyi (WILF, 2007)

Visualization of fuzzy clusters by fuzzy Sammon mapping projection: application to the analysis of phase space trajectories. - Balazs Feil; Balazs Balasko; János Abonyi (Soft Comput., 2007)

Introduction to Fuzzy Data Mining Methods. - Balazs Feil; János Abonyi (Handbook of Research on Fuzzy Information Processing in Databases, 2008)

Compact fuzzy association rule-based classifier. - Ferenc Peter Pach; Attila Gyenesei; János Abonyi (Expert Syst. Appl., 2008)

MOSSFARM: Model structure selection by fuzzy association rule mining. - Ferenc Peter Pach; Attila Gyenesei; János Abonyi (J. Intell. Fuzzy Syst., 2008)

Topology Representing Networks for the Visualization of Manifolds. - Ágnes Vathy-Fogarassy; Agnes Werner-Stark; János Abonyi (J. Math. Model. Algorithms, 2008)

Topology Representing Network Map - A New Tool for Visualization of High-Dimensional Data. - Ágnes Vathy-Fogarassy; Attila Kiss 001; János Abonyi (Trans. Comput. Sci., 2008)

Integrated process and control system model for product quality control - A soft-sensor based application. - Balazs Balaskó; Sándor Zoltán Németh; János Abonyi (ECC, 2009)

Supervised Fuzzy Clustering Based Initialization of Fuzzy Partitions for Decision Tree Induction. - János Abonyi (WSC, 2009)

Dynamic Time Warping of Segmented Time Series. - Zoltán Bankó; János Abonyi (WSC, 2009)

Decision tree and first-principles model-based approach for reactor runaway analysis and forecasting. - Tamás Varga; Ferenc Szeifert; János Abonyi (Eng. Appl. Artif. Intell., 2009)

Local and global mappings of topology representing networks. - Ágnes Vathy-Fogarassy; János Abonyi (Inf. Sci., 2009)

Optimization of Multiple Traveling Salesmen Problem by a Novel Representation Based Genetic Algorithm. - András Király; János Abonyi (Intelligent Computational Optimization in Engineering, 2011)

Biclustering of High-throughput Gene Expression Data with Bicluster Miner. - András Király; János Abonyi; Asta Laiho; Attila Gyenesei (ICDM Workshops, 2012)

Interpretable support vector regression. - Tamás Kenesei; János Abonyi (Artif. Intell. Res., 2012)

Correlation based dynamic time warping of multivariate time series. - Zoltán Bankó; János Abonyi (Expert Syst. Appl., 2012)

Graph-Based Clustering and Data Visualization Algorithms. - Ágnes Vathy-Fogarassy; János Abonyi (Springer, 2013)

Hinging hyperplane based regression tree identified by fuzzy clustering and its application. - Tamás Kenesei; János Abonyi (Appl. Soft Comput., 2013)

Fuzzy c-Medoid Graph Clustering. - András Király; Ágnes Vathy-Fogarassy; János Abonyi (ICAISC (2), 2014)

Improvement of PSO algorithm by memory based gradient search - application in inventory management. - Tamás Varga; András Király; János Abonyi (CoRR, 2014)

Novel techniques and an efficient algorithm for closed pattern mining. - András Király; Asta Laiho; János Abonyi; Attila Gyenesei (Expert Syst. Appl., 2014)

Redesign of the supply of mobile mechanics based on a novel genetic optimization algorithm using Google Maps API. - András Király; János Abonyi (Eng. Appl. Artif. Intell., 2015)

Mixed dissimilarity measure for piecewise linear approximation based time series applications. - Zoltán Bankó; János Abonyi (Expert Syst. Appl., 2015)

Interpretability of Computational Intelligence-Based Regression Models - Tamás Kenesei; János Abonyi (Springer, 2015)

Multi-temporal sequential pattern mining based improvement of alarm management systems. - Richard Karoly; János Abonyi (SMC, 2016)

Geodesic distance based fuzzy c-medoid clustering - searching for central points in graphs and high dimensional data. - András Király; Ágnes Vathy-Fogarassy; János Abonyi (Fuzzy Sets Syst., 2016)

Multivariate Statistical and Computational Intelligence Techniques for Quality Monitoring of Production Systems. - Tibor Kulcsar; Barbara Farsang; Sándor Zoltán Németh; János Abonyi (Intelligent Decision Making in Quality Management, 2016)

Sequence Mining Based Alarm Suppression. - Gyula Dörgö; János Abonyi (IEEE Access, 2018)

Hierarchical Frequent Sequence Mining Algorithm for the Analysis of Alarm Cascades in Chemical Processes. - Gyula Dörgö; Kristof Varga; János Abonyi (IEEE Access, 2018)

The Settlement Structure Is Reflected in Personal Investments: Distance-Dependent Network Modularity-Based Measurement of Regional Attractiveness. - Laszlo Gadar; Zsolt Tibor Kosztyán; János Abonyi (Complex., 2018)

Multilayer Network-Based Production Flow Analysis. - Tamás Ruppert; Gergely Marcell Honti; János Abonyi (Complex., 2018)

Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree. - Daniel Leitold; Ágnes Vathy-Fogarassy; János Abonyi (Sensors, 2018)

Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines. - Tamás Ruppert; János Abonyi (Sensors, 2018)

Learning and predicting operation strategies by sequence mining and deep learning. - Gyula Dörgö; János Abonyi (Comput. Chem. Eng., 2019)

Genetic programming-based development of thermal runaway criteria. - Alex Kummer; Tamás Varga; János Abonyi (Comput. Chem. Eng., 2019)

Test-sequence optimisation by survival analysis. - János Baumgartner; Zoltán Süle; Botond Bertók; János Abonyi (Central Eur. J. Oper. Res., 2019)

Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming. - Daniel Leitold; Ágnes Vathy-Fogarassy; János Abonyi (Central Eur. J. Oper. Res., 2019)

A Review of Semantic Sensor Technologies in Internet of Things Architectures. - Gergely Marcell Honti; János Abonyi (Complex., 2019)

Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox. - Dániel Leitold; Ágnes Vathy-Fogarassy; János Abonyi (F1000Research, 2019)

Development of manufacturing execution systems in accordance with Industry 4.0 requirements: A review of standard- and ontology-based methodologies and tools. - Szilárd Jaskó; Adrienn Skrop; Tibor Holczinger; Tibor Chován; János Abonyi (Comput. Ind., 2020)

Integration of real-time locating systems into digital twins. - Tamás Ruppert; János Abonyi (J. Ind. Inf. Integr., 2020)

Real-Time Locating System in Production Management. - András Rácz-Szabó; Tamás Ruppert; László Bántay; Andreas Löcklin; László Jakab; János Abonyi (Sensors, 2020)

Network-Based Analysis of Dynamical Systems - Methods for Controllability and Observability Analysis, and Optimal Sensor Placement - Dániel Leitold; Ágnes Vathy-Fogarassy; János Abonyi (Springer, 2020)

Real-time locating system and digital twin in Lean 4.0. - Tuan-anh Tran; Tamás Ruppert; György Eigner; János Abonyi (SACI, 2021)

Mixture of Survival Analysis Models-Cluster-Weighted Weibull Distributions. - Róbert Csalódi; Zsolt Bagyura; János Abonyi (IEEE Access, 2021)

Estimation of machine setup and changeover times by survival analysis. - Tamás Ruppert; Róbert Csalódi; János Abonyi (Comput. Ind. Eng., 2021)

Event-Tree Based Sequence Mining Using LSTM Deep-Learning Model. - János Abonyi; Richard Karoly; Gyula Dörgö (Complex., 2021)

Industry 4.0-Driven Development of Optimization Algorithms: A Systematic Overview. - Róbert Csalódi; Zoltán Süle; Szilárd Jaskó; Tibor Holczinger; János Abonyi (Complex., 2021)

The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications. - Tamás Kegyes; Zoltán Süle; János Abonyi (Complex., 2021)

Ontology-Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production. - László Nagy; Tamás Ruppert; János Abonyi (Complex., 2021)

Learning Interpretable Mixture of Weibull Distributions - Exploratory Analysis of How Economic Development Influences the Incidence of COVID-19 Deaths. - Róbert Csalódi; Zoltán Birkner; János Abonyi (Data, 2021)

Test Plan for the Verification of the Robustness of Sensors and Automotive Electronic Products Using Scenario-Based Noise Deployment (SND). - Laszlo Heinold; Ágnes Bárkányi; János Abonyi (Sensors, 2021)

Human-centered knowledge graph-based design concept for collaborative manufacturing. - László Nagy; Tamás Ruppert; János Abonyi (ETFA, 2022)

Intelligent Collaborative Manufacturing Space for Augmenting Human Workers in Semi-Automated Manufacturing Systems. - Tamás Ruppert; Andreas Löcklin; David Romero; János Abonyi (ETFA, 2022)

Heart Rate Variability Measurement to Assess Work-Related Stress of Physical Workers in Manufacturing Industries - Protocol for a Systematic Literature Review. - Tuan-anh Tran; János Abonyi; Levente Kovács; György Eigner; Tamás Ruppert (SISY, 2022)

Scheduling Under Uncertainty for Industry 4.0 and 5.0. - Krisztián Bakon; Tibor Holczinger; Zoltán Süle; Szilárd Jaskó; János Abonyi (IEEE Access, 2022)

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions. - Tuan-anh Tran; Tamás Ruppert; György Eigner; János Abonyi (IEEE Access, 2022)

Cooperation patterns in the ERASMUS student exchange network: an empirical study. - Laszlo Gadar; Zsolt Tibor Kosztyán; András Telcs; János Abonyi (Appl. Netw. Sci., 2022)

Multi-agent reinforcement learning-based exploration of optimal operation strategies of semi-batch reactors. - Ádám Sass; Alex Kummer; János Abonyi (Comput. Chem. Eng., 2022)

Simultaneous Process Mining of Process Events and Operator Actions for Alarm Management. - László Bántay; Gyula Dörgö; Ferenc Tandari; János Abonyi (Complex., 2022)

A multi-block clustering algorithm for high dimensional binarized sparse data. - Zsolt Tibor Kosztyán; András Telcs; János Abonyi (Expert Syst. Appl., 2022)

Challenges of the Fourth Industrial Revolution in HRM. - Beáta Sz. G. Pató; Klaudia Kovacs; János Abonyi (Int. J. Hum. Cap. Inf. Technol. Prof., 2022)

Contrast and brightness balance in image enhancement using Cuckoo Search-optimized image fusion. - Lalit Maurya; Viney Lohchab; Prasant Kumar Mahapatra; János Abonyi (J. King Saud Univ. Comput. Inf. Sci., 2022)

Edge-Computing and Machine-Learning-Based Framework for Software Sensor Development. - Pál Péter Hanzelik; Alex Kummer; János Abonyi (Sensors, 2022)

Towards an Ontology-Based Fault Detection and Diagnosis Framework - A Semantic Approach. - László Nagy; Tamás Ruppert; János Abonyi (CoDIT, 2023)

Indoor Positioning-based Occupational Exposures Mapping and Operator Well-being Assessment in Manufacturing Environment. - Gergely Halász; Tibor Medvegy; János Abonyi; Tamás Ruppert (APMS (1), 2023)

Surface Water Monitoring Systems - The Importance of Integrating Information Sources for Sustainable Watershed Management. - Yuli Sudriani; Viktor Sebestyén; János Abonyi (IEEE Access, 2023)

Frequent pattern mining-based log file partition for process mining. - László Bántay; János Abonyi (Eng. Appl. Artif. Intell., 2023)

Data sharing in Industry 4.0 - AutomationML, B2MML and International Data Spaces-based solutions. - Tímea Czvetkó; János Abonyi (J. Ind. Inf. Integr., 2023)

Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0. - Tamás Ruppert; András Darányi; Tibor Medvegy; Dániel Csereklei; János Abonyi (Sensors, 2023)

3D Scanner-Based Identification of Welding Defects - Clustering the Results of Point Cloud Alignment. - János Hegedüs-Kuti; József Szolosi; Dániel Varga; János Abonyi; Mátyás Andó; Tamás Ruppert (Sensors, 2023)

Heart Rate Variability Measurement to Assess Acute Work-Content-Related Stress of Workers in Industrial Manufacturing Environment - A Systematic Scoping Review. - Tuan-anh Tran; Márta Péntek; Hossein Motahari-Nezhad; János Abonyi; Levente Kovács; László Gulácsi; György Eigner; Zsombor Zrubka; Tamás Ruppert (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Game-Based Design of a Human-Machine Collaboration Monitoring System. - Mónika Gugolya; Tibor Medvegy; János Abonyi; Tamás Ruppert (APMS (2), 2024)

Enriching Scene-Graph Generation with Prior Knowledge from Work Instruction. - Zoltán Jeskó; Tuan-anh Tran; Gergely Halász; János Abonyi; Tamás Ruppert (APMS (2), 2024)

Extension of HAAS for the Management of Cognitive Load. - Abdulrahman K. Eesee; Szilárd Jaskó; György Eigner; János Abonyi; Tamás Ruppert (IEEE Access, 2024)

Neighborhood Ranking-Based Feature Selection. - Ádám Ipkovich; János Abonyi (IEEE Access, 2024)

Analysis and Clustering-Based Improvement of Particle Filter Optimization Algorithms. - Éva Kenyeres; János Abonyi (IEEE Access, 2024)

Multilayer Network-Based Evaluation of the Efficiency and Resilience of Network Flows. - András Rácz-Szabó; Tamás Ruppert; János Abonyi (Complex., 2024)

Time-dependent frequent sequence mining-based survival analysis. - Róbert Csalódi; Zsolt Bagyura; Ágnes Vathy-Fogarassy; János Abonyi (Knowl. Based Syst., 2024)

Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models. - Pál Péter Hanzelik; Alex Kummer; János Abonyi (Mach. Learn. Knowl. Extr., 2024)

Version [1.0]- HAT-VIS - A MATLAB-based hypergraph visualization tool. - Tímea Czvetkó; János Abonyi (SoftwareX, 2024)

Fault Diagnostics Based on the Analysis of Probability Distributions Estimated Using a Particle Filter. - András Darányi; János Abonyi (Sensors, 2024)

Generally Applicable Q-Table Compression Method and Its Application for Constrained Stochastic Graph Traversal Optimization Problems. - Tamás Kegyes; Alex Kummer; Zoltán Süle; János Abonyi (Inf., 2024)

Machine Learning Classifier-Based Metrics Can Evaluate the Efficiency of Separation Systems. - Éva Kenyeres; Alex Kummer; János Abonyi (Entropy, 2024)

The Use of eXplainable Artificial Intelligence and Machine Learning Operation Principles to Support the Continuous Development of Machine Learning-Based Solutions in Fault Detection and Identification. - Tuan-anh Tran; Tamás Ruppert; János Abonyi (Comput., 2024)

Goal-oriented clustering algorithm to monitor the efficiency of logistic processes through real-time locating systems. - Francesco Pilati; Andrea Sbaragli; Tamás Ruppert; János Abonyi (Int. J. Comput. Integr. Manuf., 2024)

Disassembly line optimization with reinforcement learning. - Tamás Kegyes; Zoltán Süle; János Abonyi (Central Eur. J. Oper. Res., 2024)