Bogdan Gabryś

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Deep Reinforcement Learning for Digital Twin-Oriented Complex Networked Systems	2024	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production	2024	Ali Nik-Khorasani Thanh Tung Khuat Bogdan Gabryś
+ PDF Chat	Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes	2024	Thanh Tung Khuat Robert Bassett Ellen Otte Bogdan Gabryś
+	Network disruption via continuous batch removal: The case of Sicilian Mafia	2024	Mingshan Jia Pasquale De Meo Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	Transfer Learning and the Early Estimation of Single-Photon Source Quality using Machine Learning Methods	2024	David Jacob Kedziora Anna Musiał W. Rudno‐Rudziński Bogdan Gabryś
+ PDF Chat	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning	2024	David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning	2024	David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Automated Deep Learning: Neural Architecture Search Is Not the End	2024	Xuanyi Dong David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Automated Deep Learning: Neural Architecture Search Is Not the End	2024	Xuanyi Dong David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Harnessing data augmentation to quantify uncertainty in the early estimation of single-photon source quality	2023	David Jacob Kedziora Anna Musiał W. Rudno‐Rudziński Bogdan Gabryś
+ PDF Chat	On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning	2023	David Jacob Kedziora Tien-Dung Nguyen Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data	2023	Thanh Tung Khuat Bogdan Gabryś
+ PDF Chat	Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems	2023	Patryk Grelewicz Thanh Tung Khuat Jacek Czeczot Paweł Nowak Tomasz Kłopot Bogdan Gabryś
+	A Network Science perspective of Graph Convolutional Networks: A survey	2023	Mingshan Jia Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	A Network Science perspective of Graph Convolutional Networks: A survey	2023	Mingshan Jia Bogdan Gabryś Katarzyna Musiał
+	Review and Assessment of Digital Twin--Oriented Social Network Simulators	2023	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+	Harnessing Data Augmentation to Quantify Uncertainty in the Early Estimation of Single-Photon Source Quality	2023	David Jacob Kedziora Anna Musiał W. Rudno‐Rudziński Bogdan Gabryś
+	Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules	2023	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	Review and Assessment of Digital Twin–Oriented Social Network Simulators	2023	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+	Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems	2023	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+	Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities	2023	Thanh Tung Khuat Robert Bassett Ellen Otte Alistair Grevis-James Bogdan Gabryś
+	Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia	2023	Mingshan Jia Pasquale De Meo Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry	2023	Alexander Scriven David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry	2023	Alexander Scriven David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	The Roles and Modes of Human Interactions with Automated Machine Learning Systems	2022	Thanh Tung Khuat David Jacob Kedziora Bogdan Gabryś
+	Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey	2022	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	On Taking Advantage of Opportunistic Meta-Knowledge to Reduce Configuration Spaces for Automated Machine Learning	2022	David Jacob Kedziora Tien Dung Nguyen Katarzyna Musiał Bogdan Gabryś
+	On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning	2022	David Jacob Kedziora Tien-Dung Nguyen Katarzyna Musiał Bogdan Gabryś
+	hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms	2022	Thanh Tung Khuat Bogdan Gabryś
+	The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry	2022	Alexander Scriven David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Measuring Quadrangle Formation in Complex Networks	2021	Mingshan Jia Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	An in-depth comparison of methods handling mixed-attribute data for general fuzzy min–max neural network	2021	Thanh Tung Khuat Bogdan Gabryś
+ PDF Chat	Random Hyperboxes	2021	Thanh Tung Khuat Bogdan Gabryś
+ PDF Chat	AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation	2021	Tien-Dung Nguyen Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning	2021	Tien-Dung Nguyen David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning	2021	Tien-Dung Nguyen David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey	2021	Joakim Skarding Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size	2021	Xuanyi Dong Lu Liu Katarzyna Musiał Bogdan Gabryś
+	Automated Deep Learning: Neural Architecture Search Is Not the End	2021	Xuanyi Dong David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning	2021	Tien-Dung Nguyen David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems	2021	Patryk Grelewicz Thanh Tung Khuat Jacek Czeczot Paweł Nowak Tomasz Kłopot Bogdan Gabryś
+	AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation	2020	Tien-Dung Nguyen Bogdan Gabryś Katarzyna Musiał
+	An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network	2020	Thanh Tung Khuat Bogdan Gabryś
+ PDF Chat	Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule	2020	Thanh Tung Khuat Bogdan Gabryś
+ PDF Chat	Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction	2020	Hongxu Chen Hongzhi Yin Xiangguo Sun Tong Chen Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	Hyperbox-based machine learning algorithms: a comprehensive survey	2020	Thanh Tung Khuat Dymitr Ruta Bogdan Gabryś
+ PDF Chat	An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network	2020	Thanh Tung Khuat Fang Chen Bogdan Gabryś
+ PDF Chat	Scoring and assessment in medical VR training simulators with dynamic time series classification	2020	Neil Vaughan Bogdan Gabryś
+	AutoHAS: Differentiable Hyper-parameter and Architecture Search.	2020	Xuanyi Dong Mingxing Tan Adams Wei Yu Daiyi Peng Bogdan Gabryś Quoc V. Le
+	Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule	2020	Thanh Tung Khuat Bogdan Gabryś
+	An improved online learning algorithm for general fuzzy min-max neural network	2020	Thanh Tung Khuat Fang Chen Bogdan Gabryś
+	Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction	2020	Hongxu Chen Hongzhi Yin Xiangguo Sun Tong Chen Bogdan Gabryś Katarzyna Musiał
+	A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems	2020	Abbas Raza Ali Marcin Budka Bogdan Gabryś
+	AutoHAS: Efficient Hyperparameter and Architecture Search	2020	Xuanyi Dong Mingxing Tan Adams Wei Yu Daiyi Peng Bogdan Gabryś Quoc V. Le
+	Measuring Quadrangle Formation in Complex Networks	2020	Mingshan Jia Bogdan Gabryś Katarzyna Musiał
+	Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule	2020	Thanh Tung Khuat Bogdan Gabryś
+	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning	2020	David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation	2020	Tien-Dung Nguyen Bogdan Gabryś Katarzyna Musiał
+	An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network	2020	Thanh Tung Khuat Bogdan Gabryś
+	AVATAR -- Machine Learning Pipeline Evaluation Using Surrogate Model	2020	Tien-Dung Nguyen Tomasz Maszczyk Katarzyna Musiał Marc-André Zöller Bogdan Gabryś
+	An improved online learning algorithm for general fuzzy min-max neural network	2020	Thanh Tung Khuat Fang Chen Bogdan Gabryś
+	An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data	2020	Thanh Tung Khuat Bogdan Gabryś
+ PDF Chat	A comparative study of general fuzzy min-max neural networks for pattern classification problems	2019	Thanh Tung Khuat Bogdan Gabryś
+ PDF Chat	An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network	2019	Thanh Tung Khuat Fang Chen Bogdan Gabryś
+	Hyperbox based machine learning algorithms: A comprehensive survey.	2019	Thanh Tung Khuat Dymitr Ruta Bogdan Gabryś
+	Hyperbox based machine learning algorithms: A comprehensive survey	2019	Thanh Tung Khuat Dymitr Ruta Bogdan Gabryś
+	Generic adaptation strategies for automated machine learning.	2018	Rashid Bakirov Bogdan Gabryś Damien Fay
+	Automated Adaptation Strategies for Stream Learning	2018	Rashid Bakirov Bogdan Gabryś Damien Fay
+ PDF Chat	Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA	2018	Manuel Martín Salvador Marcin Budka Bogdan Gabryś
+	Automated Adaptation Strategies for Stream Learning	2018	Rashid Bakirov Bogdan Gabryś Damien Fay
+	Automatic composition and optimisation of multicomponent predictive systems	2016	Manuel Martín Salvador Marcin Budka Bogdan Gabryś
+ PDF Chat	On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling	2011	Marcin Budka Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	Meta-learning for time series forecasting and forecast combination	2010	Christiane Lemke Bogdan Gabryś
+ PDF Chat	Dynamic combination of forecasts generated by diversification procedures applied to forecasting of airline cancellations	2009	Christiane Lemke Silvia Riedel Bogdan Gabryś
+ PDF Chat	Learning with Missing or Incomplete Data	2009	Bogdan Gabryś
+	Building Combined Classifiers	2008	Mark Eastwood Bogdan Gabryś
+	Combination of Multi Level Forecasts	2007	Silvia Riedel Bogdan Gabryś
+	The Dynamics of Negative Correlation Learning	2007	Mark Eastwood Bogdan Gabryś
+ PDF Chat	Outlier Resistant PCA Ensembles	2006	Bogdan Gabryś Bruno Baruque Emilio Corchado
+	Do Smart Adaptive Systems Exist?	2005	Bogdan Gabryś Kauko Leiviskä Jens Strackeljan
+ PDF Chat	Combining neuro-fuzzy classifiers for improved generalisation and reliability	2003	Bogdan Gabryś
+ PDF Chat	Set Analysis of Coincident Errors and Its Applications for Combining Classifiers	2003	Dymitr Ruta Bogdan Gabryś
+	New Measure of Classifier Dependency in Multiple Classifier Systems	2002	Dymitr Ruta Bogdan Gabryś
+	An Overview of Classifier Fusion Methods	2000	Dymitr Ruta Bogdan Gabryś

Common Coauthors

Coauthor	Papers Together
Katarzyna Musiał	36
Thanh Tung Khuat	24
David Jacob Kedziora	19
Xuanyi Dong	6
Dymitr Ruta	6
Mingshan Jia	6
Tien-Dung Nguyen	5
Tien-Dung Nguyen	4
Marcin Budka	4
Anna Musiał	3
Jiaqi Wen	3
Fang Chen	3
Rashid Bakirov	3
Damien Fay	3
W. Rudno‐Rudziński	3
Alexander Scriven	3
Patryk Grelewicz	2
Hongxu Chen	2
Pasquale De Meo	2
Jacek Czeczot	2
Robert Bassett	2
Ellen Otte	2
Mark Eastwood	2
Tomasz Kłopot	2
Adams Wei Yu	2
Daiyi Peng	2
Silvia Riedel	2
Jiaqi Wen	2
Xiangguo Sun	2
Manuel Martín Salvador	2
Christiane Lemke	2
Hongzhi Yin	2
Quoc V. Le	2
Mingxing Tan	2
Paweł Nowak	1
Kauko Leiviskä	1
Alistair Grevis-James	1
Lu Liu	1
Emilio Corchado	1
Marc-André Zöller	1
Ali Nik-Khorasani	1
Tien Dung Nguyen	1
Tomasz Maszczyk	1
Tong Chen	1
Fang Chen	1
Tong Chen	1
Joakim Skarding	1
Abbas Raza Ali	1
Jens Strackeljan	1
Jiaqi Wen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Combining neuro-fuzzy classifiers for improved generalisation and reliability	2003	Bogdan Gabryś	11
+ PDF Chat	Meta-learning for time series forecasting and forecast combination	2010	Christiane Lemke Bogdan Gabryś	9
+ PDF Chat	Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA	2018	Manuel Martín Salvador Marcin Budka Bogdan Gabryś	8
+	Statistical Comparisons of Classifiers over Multiple Data Sets	2006	Janez Demšar	7
+ PDF Chat	Hyperbox-based machine learning algorithms: a comprehensive survey	2020	Thanh Tung Khuat Dymitr Ruta Bogdan Gabryś	7
+ PDF Chat	Fuzzy min–max neural networks for categorical data: application to missing data imputation	2011	Pilar Rey-del-Castillo Jesús Cardeñosa	7
+ PDF Chat	A comparative study of general fuzzy min-max neural networks for pattern classification problems	2019	Thanh Tung Khuat Bogdan Gabryś	6
+	Survey on Automated Machine Learning.	2019	Marc-André Zöller Marco F. Huber	6
+ PDF Chat	An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network	2020	Thanh Tung Khuat Fang Chen Bogdan Gabryś	5
+	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning	2020	David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś	4
+ PDF Chat	Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule	2020	Thanh Tung Khuat Bogdan Gabryś	4
+	Importance of Tuning Hyperparameters of Machine Learning Algorithms	2020	Hilde Weerts Andreas Mueller Joaquin Vanschoren	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	4
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	4
+	A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems	2020	Abbas Raza Ali Marcin Budka Bogdan Gabryś	4
+ PDF Chat	Hyperparameter Importance Across Datasets	2018	Jan N. van Rijn Frank Hutter	4
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	4
+	Approximations of the critical region of the fbietkan statistic	1980	Ronald L. Iman James M. Davenport	3
+	Representation Learning on Graphs: Methods and Applications	2017	William L. Hamilton Rex Ying Jure Leskovec	3
+ PDF Chat	AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation	2021	Tien-Dung Nguyen Katarzyna Musiał Bogdan Gabryś	3
+ PDF Chat	The architecture of complex weighted networks	2004	Alain Barrat Marc Barthélemy Romualdo Pastor‐Satorras Alessandro Vespignani	3
+ PDF Chat	OpenML	2014	Joaquin Vanschoren Jan N. van Rijn Bernd Bischl Luı́s Torgo	3
+	AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation	2020	Tien-Dung Nguyen Bogdan Gabryś Katarzyna Musiał	3
+ PDF Chat	Dynamic combination of forecasts generated by diversification procedures applied to forecasting of airline cancellations	2009	Christiane Lemke Silvia Riedel Bogdan Gabryś	3
+ PDF Chat	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning	2024	David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś	3
+ PDF Chat	Measuring Quadrangle Formation in Complex Networks	2021	Mingshan Jia Bogdan Gabryś Katarzyna Musiał	3
+	Random Search and Reproducibility for Neural Architecture Search	2019	Liam Li Ameet Talwalkar	3
+ PDF Chat	None	2003	Pavel Brazdil Carlos Soares Joaquim Pinto da Costa	3
+	Tunability: Importance of Hyperparameters of Machine Learning Algorithms	2019	Philipp Probst Anne‐Laure Boulesteix Bernd Bischl	3
+ PDF Chat	Intensity and coherence of motifs in weighted complex networks	2005	Jukka-Pekka Onnela Jari Saramäki János Kertész Kimmo Kaski	3
+	Combining Pattern Classifiers: Methods and Algorithms	2005	Subhash Bagui	3
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	3
+ PDF Chat	Searching for a Robust Neural Architecture in Four GPU Hours	2019	Xuanyi Dong Yi Yang	3
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	3
+	Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization	2019	Aaron Klein Frank Hutter	3
+ PDF Chat	An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network	2019	Thanh Tung Khuat Fang Chen Bogdan Gabryś	3
+ PDF Chat	Clustering coefficient and community structure of bipartite networks	2008	Peng Zhang Jin-Liang Wang Xiaojia Li Menghui Li Zengru Di Ying Fan	3
+ PDF Chat	MnasNet: Platform-Aware Neural Architecture Search for Mobile	2019	Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew Howard Quoc V. Le	3
+ PDF Chat	Cycles and clustering in bipartite networks	2005	Pedro G. Lind Marta C. González Hans J. Herrmann	3
+	Hyperbox based machine learning algorithms: A comprehensive survey.	2019	Thanh Tung Khuat Dymitr Ruta Bogdan Gabryś	3
+	Tunability: Importance of Hyperparameters of Machine Learning Algorithms	2018	Philipp Probst Bernd Bischl Anne‐Laure Boulesteix	3
+ PDF Chat	Clustering in complex directed networks	2007	Giorgio Fagiolo	3
+	Benchmarking Automatic Machine Learning Frameworks	2018	Adithya Balaji Alexander G. Allen	3
+	Node Classification in Social Networks	2011	Smriti Bhagat Graham Cormode S. Muthukrishnan	3
+ PDF Chat	Random graphs with arbitrary degree distributions and their applications	2001	M. E. J. Newman Steven H. Strogatz Duncan J. Watts	2
+ PDF Chat	De-anonymizing Social Networks	2009	Arvind Narayanan Vitaly Shmatikov	2
+ PDF Chat	Model of complex networks based on citation dynamics	2013	Lovro Šubelj Marko Bajec	2
+	Improved methods of combining forecasts	1984	Clive W. J. Granger R. Ramanathan	2
+ PDF Chat	Set Analysis of Coincident Errors and Its Applications for Combining Classifiers	2003	Dymitr Ruta Bogdan Gabryś	2