János Abonyi - RankMe

121 papers B 7C 6Misc 6Journal 86Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ObServML: Deployable Python application for compact and modular systems monitoring. SoftwareX Ádám Ipkovich, János Abonyi, Alex Kummer
2026	J	`jnl`	Risk-based assignment of tool maintenance tasks to opportunity windows under dynamic manufacturing conditions. Comput. Ind. Eng. András Darányi, Tamás Ruppert, János Abonyi
2025	J	`jnl`	HyperGodot: Interactive hypergraph visualization tool. SoftwareX Attila Ficsor, Tímea Czvetkó, Viktor Sebestyén, János Abonyi
2024	J	`jnl`	Analysis and Clustering-Based Improvement of Particle Filter Optimization Algorithms. IEEE Access Éva Kenyeres, János Abonyi
2024	J	`jnl`	Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models. Mach. Learn. Knowl. Extr. Pál Péter Hanzelik, Alex Kummer, János Abonyi
2024	J	`jnl`	Disassembly line optimization with reinforcement learning. Central Eur. J. Oper. Res. Tamás Kegyes, Zoltán Süle, János Abonyi
2024	—	`conf`	Enriching Scene-Graph Generation with Prior Knowledge from Work Instruction. APMS (2) Zoltán Jeskó, Tuan Anh Tran, Gergely Halász, János Abonyi, Tamás Ruppert
2024	J	`jnl`	Extension of HAAS for the Management of Cognitive Load. IEEE Access Abdulrahman K. Eesee, Szilárd Jaskó, György Eigner, János Abonyi, Tamás Ruppert
2024	J	`jnl`	Fault Diagnostics Based on the Analysis of Probability Distributions Estimated Using a Particle Filter. Sensors András Darányi, János Abonyi
2024	—	`conf`	Game-Based Design of a Human-Machine Collaboration Monitoring System. APMS (2) Mónika Gugolya, Tibor Medvegy, János Abonyi, Tamás Ruppert
2024	J	`jnl`	Generally Applicable Q-Table Compression Method and Its Application for Constrained Stochastic Graph Traversal Optimization Problems. Inf. Tamás Kegyes, Alex Kummer, Zoltán Süle, János Abonyi
2024	J	`jnl`	Goal-oriented clustering algorithm to monitor the efficiency of logistic processes through real-time locating systems. Int. J. Comput. Integr. Manuf. Francesco Pilati, Andrea Sbaragli, Tamás Ruppert, János Abonyi
2024	J	`jnl`	Machine Learning Classifier-Based Metrics Can Evaluate the Efficiency of Separation Systems. Entropy Éva Kenyeres, Alex Kummer, János Abonyi
2024	J	`jnl`	Multilayer Network-Based Evaluation of the Efficiency and Resilience of Network Flows. Complex. András Rácz-Szabó, Tamás Ruppert, János Abonyi
2024	J	`jnl`	Neighborhood Ranking-Based Feature Selection. IEEE Access Ádám Ipkovich, János Abonyi
2024	J	`jnl`	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. Comput. Tuan Anh Tran, Tamás Ruppert, János Abonyi
2024	J	`jnl`	Time-dependent frequent sequence mining-based survival analysis. Knowl. Based Syst. Róbert Csalódi, Zsolt Bagyura, Ágnes Vathy-Fogarassy, János Abonyi
2024	J	`jnl`	Version [1.0]- HAT-VIS - A MATLAB-based hypergraph visualization tool. SoftwareX Tímea Czvetkó, János Abonyi
2023	J	`jnl`	3D Scanner-Based Identification of Welding Defects - Clustering the Results of Point Cloud Alignment. Sensors János Hegedüs-Kuti, József Szolosi, Dániel Varga, János Abonyi, Mátyás Andó, Tamás Ruppert
2023	J	`jnl`	Data sharing in Industry 4.0 - AutomationML, B2MML and International Data Spaces-based solutions. J. Ind. Inf. Integr. Tímea Czvetkó, János Abonyi
2023	J	`jnl`	Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0. Sensors Tamás Ruppert, András Darányi, Tibor Medvegy, Dániel Csereklei, János Abonyi
2023	J	`jnl`	Frequent pattern mining-based log file partition for process mining. Eng. Appl. Artif. Intell. László Bántay, János Abonyi
2023	J	`jnl`	Heart Rate Variability Measurement to Assess Acute Work-Content-Related Stress of Workers in Industrial Manufacturing Environment - A Systematic Scoping Review. IEEE Trans. Syst. Man Cybern. Syst. Tuan Anh Tran, Márta Péntek, Hossein Motahari-Nezhad, János Abonyi, Levente Kovács, László Gulácsi, György Eigner, Zsombor Zrubka, Tamás Ruppert
2023	—	`conf`	Indoor Positioning-based Occupational Exposures Mapping and Operator Well-being Assessment in Manufacturing Environment. APMS (1) Gergely Halász, Tibor Medvegy, János Abonyi, Tamás Ruppert
2023	J	`jnl`	Surface Water Monitoring Systems - The Importance of Integrating Information Sources for Sustainable Watershed Management. IEEE Access Yuli Sudriani, Viktor Sebestyén, János Abonyi
2023	C	`conf`	Towards an Ontology-Based Fault Detection and Diagnosis Framework - A Semantic Approach. CoDIT László Nagy, Tamás Ruppert, János Abonyi
2022	J	`jnl`	A multi-block clustering algorithm for high dimensional binarized sparse data. Expert Syst. Appl. Zsolt Tibor Kosztyán, András Telcs, János Abonyi
2022	J	`jnl`	Challenges of the Fourth Industrial Revolution in HRM. Int. J. Hum. Cap. Inf. Technol. Prof. Beáta Sz. G. Pató, Klaudia Kovacs, János Abonyi
2022	J	`jnl`	Contrast and brightness balance in image enhancement using Cuckoo Search-optimized image fusion. J. King Saud Univ. Comput. Inf. Sci. Lalit Maurya, Viney Lohchab, Prasant Kumar Mahapatra, János Abonyi
2022	J	`jnl`	Cooperation patterns in the ERASMUS student exchange network: an empirical study. Appl. Netw. Sci. Laszlo Gadar, Zsolt Tibor Kosztyán, András Telcs, János Abonyi
2022	J	`jnl`	Edge-Computing and Machine-Learning-Based Framework for Software Sensor Development. Sensors Pál Péter Hanzelik, Alex Kummer, János Abonyi
2022	Misc	`conf`	Heart Rate Variability Measurement to Assess Work-Related Stress of Physical Workers in Manufacturing Industries - Protocol for a Systematic Literature Review. SISY Tuan Anh Tran, János Abonyi, Levente Kovács, György Eigner, Tamás Ruppert
2022	C	`conf`	Human-centered knowledge graph-based design concept for collaborative manufacturing. ETFA László Nagy, Tamás Ruppert, János Abonyi
2022	C	`conf`	Intelligent Collaborative Manufacturing Space for Augmenting Human Workers in Semi-Automated Manufacturing Systems. ETFA Tamás Ruppert, Andreas Löcklin, David Romero, János Abonyi
2022	J	`jnl`	Multi-agent reinforcement learning-based exploration of optimal operation strategies of semi-batch reactors. Comput. Chem. Eng. Ádám Sass, Alex Kummer, János Abonyi
2022	J	`jnl`	Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions. IEEE Access Tuan Anh Tran, Tamás Ruppert, György Eigner, János Abonyi
2022	J	`jnl`	Scheduling Under Uncertainty for Industry 4.0 and 5.0. IEEE Access Krisztián Bakon, Tibor Holczinger, Zoltán Süle, Szilárd Jaskó, János Abonyi
2022	J	`jnl`	Simultaneous Process Mining of Process Events and Operator Actions for Alarm Management. Complex. László Bántay, Gyula Dörgö, Ferenc Tandari, János Abonyi
2021	J	`jnl`	Estimation of machine setup and changeover times by survival analysis. Comput. Ind. Eng. Tamás Ruppert, Róbert Csalódi, János Abonyi
2021	J	`jnl`	Event-Tree Based Sequence Mining Using LSTM Deep-Learning Model. Complex. János Abonyi, Richard Karoly, Gyula Dörgö
2021	J	`jnl`	Industry 4.0-Driven Development of Optimization Algorithms: A Systematic Overview. Complex. Róbert Csalódi, Zoltán Süle, Szilárd Jaskó, Tibor Holczinger, János Abonyi
2021	J	`jnl`	Learning Interpretable Mixture of Weibull Distributions - Exploratory Analysis of How Economic Development Influences the Incidence of COVID-19 Deaths. Data Róbert Csalódi, Zoltán Birkner, János Abonyi
2021	J	`jnl`	Mixture of Survival Analysis Models-Cluster-Weighted Weibull Distributions. IEEE Access Róbert Csalódi, Zsolt Bagyura, János Abonyi
2021	J	`jnl`	Ontology-Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production. Complex. László Nagy, Tamás Ruppert, János Abonyi
2021	Misc	`conf`	Real-time locating system and digital twin in Lean 4.0. SACI Tuan Anh Tran, Tamás Ruppert, György Eigner, János Abonyi
2021	J	`jnl`	Test Plan for the Verification of the Robustness of Sensors and Automotive Electronic Products Using Scenario-Based Noise Deployment (SND). Sensors Laszlo Heinold, Ágnes Bárkányi, János Abonyi
2021	J	`jnl`	The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications. Complex. Tamás Kegyes, Zoltán Süle, János Abonyi
2020	J	`jnl`	Development of manufacturing execution systems in accordance with Industry 4.0 requirements: A review of standard- and ontology-based methodologies and tools. Comput. Ind. Szilárd Jaskó, Adrienn Skrop, Tibor Holczinger, Tibor Chován, János Abonyi
2020	J	`jnl`	Integration of real-time locating systems into digital twins. J. Ind. Inf. Integr. Tamás Ruppert, János Abonyi
2020	—	`book`	Network-Based Analysis of Dynamical Systems - Methods for Controllability and Observability Analysis, and Optimal Sensor Placement Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
2020	J	`jnl`	Real-Time Locating System in Production Management. Sensors András Rácz-Szabó, Tamás Ruppert, László Bántay, Andreas Löcklin, László Jakab, János Abonyi
2019	J	`jnl`	A Review of Semantic Sensor Technologies in Internet of Things Architectures. Complex. Gergely Marcell Honti, János Abonyi
2019	J	`jnl`	Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming. Central Eur. J. Oper. Res. Daniel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
2019	J	`jnl`	Genetic programming-based development of thermal runaway criteria. Comput. Chem. Eng. Alex Kummer, Tamás Varga, János Abonyi
2019	J	`jnl`	Learning and predicting operation strategies by sequence mining and deep learning. Comput. Chem. Eng. Gyula Dörgö, János Abonyi
2019	J	`jnl`	Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox. F1000Research Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
2019	J	`jnl`	Test-sequence optimisation by survival analysis. Central Eur. J. Oper. Res. János Baumgartner, Zoltán Süle, Botond Bertók, János Abonyi
2018	J	`jnl`	Hierarchical Frequent Sequence Mining Algorithm for the Analysis of Alarm Cascades in Chemical Processes. IEEE Access Gyula Dörgö, Kristof Varga, János Abonyi
2018	J	`jnl`	Multilayer Network-Based Production Flow Analysis. Complex. Tamás Ruppert, Gergely Marcell Honti, János Abonyi
2018	J	`jnl`	Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree. Sensors Daniel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
2018	J	`jnl`	Sequence Mining Based Alarm Suppression. IEEE Access Gyula Dörgö, János Abonyi
2018	J	`jnl`	Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines. Sensors Tamás Ruppert, János Abonyi
2018	J	`jnl`	The Settlement Structure Is Reflected in Personal Investments: Distance-Dependent Network Modularity-Based Measurement of Regional Attractiveness. Complex. Laszlo Gadar, Zsolt Tibor Kosztyán, János Abonyi
2016	J	`jnl`	Geodesic distance based fuzzy c-medoid clustering - searching for central points in graphs and high dimensional data. Fuzzy Sets Syst. András Király, Ágnes Vathy-Fogarassy, János Abonyi
2016	B	`conf`	Multi-temporal sequential pattern mining based improvement of alarm management systems. SMC Richard Karoly, János Abonyi
2016	—	`ch.`	Multivariate Statistical and Computational Intelligence Techniques for Quality Monitoring of Production Systems. Intelligent Decision Making in Quality Management Tibor Kulcsar, Barbara Farsang, Sándor Zoltán Németh, János Abonyi
2015	—	`book`	Interpretability of Computational Intelligence-Based Regression Models Tamás Kenesei, János Abonyi
2015	J	`jnl`	Mixed dissimilarity measure for piecewise linear approximation based time series applications. Expert Syst. Appl. Zoltán Bankó, János Abonyi
2015	J	`jnl`	Redesign of the supply of mobile mechanics based on a novel genetic optimization algorithm using Google Maps API. Eng. Appl. Artif. Intell. András Király, János Abonyi
2014	—	`conf`	Fuzzy c-Medoid Graph Clustering. ICAISC (2) András Király, Ágnes Vathy-Fogarassy, János Abonyi
2014	J	`jnl`	Improvement of PSO algorithm by memory based gradient search - application in inventory management. CoRR Tamás Varga, András Király, János Abonyi
2014	J	`jnl`	Novel techniques and an efficient algorithm for closed pattern mining. Expert Syst. Appl. András Király, Asta Laiho, János Abonyi, Attila Gyenesei
2013	—	`book`	Graph-Based Clustering and Data Visualization Algorithms. Ágnes Vathy-Fogarassy, János Abonyi
2013	J	`jnl`	Hinging hyperplane based regression tree identified by fuzzy clustering and its application. Appl. Soft Comput. Tamás Kenesei, János Abonyi
2012	—	`conf`	Biclustering of High-throughput Gene Expression Data with Bicluster Miner. ICDM Workshops András Király, János Abonyi, Asta Laiho, Attila Gyenesei
2012	J	`jnl`	Correlation based dynamic time warping of multivariate time series. Expert Syst. Appl. Zoltán Bankó, János Abonyi
2012	J	`jnl`	Interpretable support vector regression. Artif. Intell. Res. Tamás Kenesei, János Abonyi
2011	—	`ch.`	Optimization of Multiple Traveling Salesmen Problem by a Novel Representation Based Genetic Algorithm. Intelligent Computational Optimization in Engineering András Király, János Abonyi
2009	J	`jnl`	Decision tree and first-principles model-based approach for reactor runaway analysis and forecasting. Eng. Appl. Artif. Intell. Tamás Varga, Ferenc Szeifert, János Abonyi
2009	Misc	`conf`	Dynamic Time Warping of Segmented Time Series. WSC Zoltán Bankó, János Abonyi
2009	—	`conf`	Integrated process and control system model for product quality control - A soft-sensor based application. ECC Balazs Balaskó, Sándor Zoltán Németh, János Abonyi
2009	J	`jnl`	Local and global mappings of topology representing networks. Inf. Sci. Ágnes Vathy-Fogarassy, János Abonyi
2009	Misc	`conf`	Supervised Fuzzy Clustering Based Initialization of Fuzzy Partitions for Decision Tree Induction. WSC János Abonyi
2008	J	`jnl`	Compact fuzzy association rule-based classifier. Expert Syst. Appl. Ferenc Peter Pach, Attila Gyenesei, János Abonyi
2008	—	`ch.`	Introduction to Fuzzy Data Mining Methods. Handbook of Research on Fuzzy Information Processing in Databases Balazs Feil, János Abonyi
2008	J	`jnl`	MOSSFARM: Model structure selection by fuzzy association rule mining. J. Intell. Fuzzy Syst. Ferenc Peter Pach, Attila Gyenesei, János Abonyi
2008	J	`jnl`	Topology Representing Network Map - A New Tool for Visualization of High-Dimensional Data. Trans. Comput. Sci. Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi
2008	J	`jnl`	Topology Representing Networks for the Visualization of Manifolds. J. Math. Model. Algorithms Ágnes Vathy-Fogarassy, Agnes Werner-Stark, János Abonyi
2007	C	`conf`	A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines. IDEAL Tamás Kenesei, Johannes A. Roubos, János Abonyi
2007	—	`conf`	Fuzzy Clustering for the Identification of Hinging Hyperplanes Based Regression Trees. WILF Tamás Kenesei, Balazs Feil, János Abonyi
2007	—	`conf`	Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity. WILF Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi
2007	C	`conf`	Visualization of Topology Representing Networks. IDEAL Ágnes Vathy-Fogarassy, Agnes Werner-Stark, Balázs Gaál, János Abonyi
2007	J	`jnl`	Visualization of fuzzy clusters by fuzzy Sammon mapping projection: application to the analysis of phase space trajectories. Soft Comput. Balazs Feil, Balazs Balasko, János Abonyi
2006	Misc	`conf`	Additive Sequential Evolutionary Design of Experiments. ICAISC Balazs Balasko, János Madár, János Abonyi
2006	—	`conf`	Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm. FoIKS Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi
2006	J	`jnl`	Process-Data-Warehousing-Based Operator Support System for Complex Production Technologies. IEEE Trans. Syst. Man Cybern. Part A Peter Pach, Balazs Feil, Sándor Zoltán Németh, Peter Arva, János Abonyi
2005	J	`jnl`	Computational Intelligence in Data Mining. Informatica (Slovenia) János Abonyi, Balazs Feil, Ajith Abraham
2005	J	`jnl`	Feedback linearizing control using hybrid neural networks identified by sensitivity approach. Eng. Appl. Artif. Intell. János Madár, János Abonyi, Ferenc Szeifert
2005	C	`conf`	Interactive Particle Swarm Optimization. ISDA János Madár, János Abonyi, Ferenc Szeifert
2005	J	`jnl`	Interactive evolutionary computation in process engineering. Comput. Chem. Eng. János Madár, János Abonyi, Ferenc Szeifert
2005	J	`jnl`	Modified Gath-Geva clustering for fuzzy segmentation of multivariate time-series. Fuzzy Sets Syst. János Abonyi, Balazs Feil, Sándor Zoltán Németh, Peter Arva
2005	J	`jnl`	Monitoring process transitions by Kalman filtering and time-series segmentation. Comput. Chem. Eng. Balazs Feil, János Abonyi, Sándor Zoltán Németh, Peter Arva
2004	J	`jnl`	Effective optimization for fuzzy model predictive control. IEEE Trans. Fuzzy Syst. Stanimir Mollov, Robert Babuska, János Abonyi, Henk B. Verbruggen
2004	B	`conf`	FUZZSAM - visualization of fuzzy clustering results by modified Sammon mapping. FUZZ-IEEE János Abonyi, Robert Babuska
2004	B	`conf`	Fuzzy clustering for selecting structure of nonlinear models with mixed discrete and continuous inputs. FUZZ-IEEE Daniela Girimonte, Robert Babuska, János Abonyi
2004	Misc	`conf`	Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction. ICAISC Balazs Feil, János Abonyi, Peter Pach, Sándor Zoltán Németh, Peter Arva, Miklos Nemeth, Gabor Nagy
2004	—	`conf`	State-space reconstruction and prediction of chaotic time series based on fuzzy clustering. SMC (3) János Abonyi, Balazs Feil, Sándor Zoltán Németh, Peter Arva, Robert Babuska
2004	J	`jnl`	Tendency model-based improvement of the slave loop in cascade temperature control of batch process units. Comput. Chem. Eng. János Madár, Ferenc Szeifert, Lajos Nagy, Tibor Chován, János Abonyi
2003	J	`jnl`	Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. Int. J. Approx. Reason. János Abonyi, Johannes A. Roubos, Ferenc Szeifert
2003	B	`conf`	Fuzzy Clustering Based Segmentation of Time-Series. IDA János Abonyi, Balazs Feil, Sándor Zoltán Németh, Peter Arva
2003	J	`jnl`	Learning fuzzy classification rules from labeled data. Inf. Sci. Johannes A. Roubos, Magne Setnes, János Abonyi
2003	J	`jnl`	Process analysis and product quality estimation by Self-Organizing Maps with an application to polyethylene production. Comput. Ind. János Abonyi, Sándor Zoltán Németh, Csaba Vincze, Peter Arva
2003	B	`conf`	Structure selection for nonlinear input-output models based on fuzzy cluster analysis. FUZZ-IEEE János Abonyi, Robert Babugkao, Balazs Feil
2003	J	`jnl`	Supervised fuzzy clustering for the identification of fuzzy classifiers. Pattern Recognit. Lett. János Abonyi, Ferenc Szeifert
2002	J	`jnl`	Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models. IEEE Trans. Syst. Man Cybern. Part B János Abonyi, Robert Babuska, Ferenc Szeifert
2001	B	`conf`	Compact TS - Fuzzy Models Through Clustering and OLS Plus FIS Model Reduction. FUZZ-IEEE János Abonyi, Johannes A. Roubos, Marcel Oosterom, Ferenc Szeifert
2001	J	`jnl`	Fuzzy model-based predictive control by instantaneous linearization. Fuzzy Sets Syst. János Abonyi, Lajos Nagy, Ferenc Szeifert
2001	J	`jnl`	Fuzzy modeling with multivariate membership functions: gray-box identification and control design. IEEE Trans. Syst. Man Cybern. Part B János Abonyi, Robert Babuska, Ferenc Szeifert
2000	J	`jnl`	Hybrid fuzzy convolution modelling and identification of chemical process systems. Int. J. Syst. Sci. János Abonyi, Lajos Nagy, Ferenc Szeifert
2000	J	`jnl`	Incorporating prior knowledge in fuzzy model identification. Int. J. Syst. Sci. János Abonyi, Robert Babuska, Henk B. Verbruggen, Ferenc Szeifert
2000	B	`conf`	Local and global identification and interpretation of parameters in Takagi-Sugeno fuzzy models. FUZZ-IEEE János Abonyi, Robert Babuska