Bogdan Gabrys

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 103

Top Venues

Publications

Thanh Tung Khuat, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys
Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities. Comput. Chem. Eng. 182 (2024)
David Jacob Kedziora, Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys
On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning. Expert Syst. Appl. 239 (2024)
Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
Automated Deep Learning: Neural Architecture Search Is Not the End. Found. Trends Mach. Learn. 17 (5) (2024)
Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
On the Effectiveness of Heterogeneous Ensembles Combining Graph Neural Networks and Heuristics for Dynamic Link Prediction. IEEE Trans. Netw. Sci. Eng. 11 (4) (2024)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
DTCNS: A python toolbox for digital twin-oriented complex networked systems. SoftwareX 27 (2024)
Jakub Musial, Krzysztof Stebel, Jacek Czeczot, Pawel Nowak, Bogdan Gabrys
Application of self-improving Q-learning controller for a class of dynamical processes: Implementation aspects. Appl. Soft Comput. 152 (2024)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators. FUZZ (2024)
Joakim Skarding, Matthew Hellmich, Bogdan Gabrys, Katarzyna Musial
Corrections to "A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction". IEEE Access 12 (2024)
David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. Found. Trends Mach. Learn. 17 (4) (2024)
Thanh Tung Khuat, Bogdan Gabrys
Random Hyperboxes. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Thanh Tung Khuat, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys
Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities. CoRR (2023)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems. CoRR (2023)
Alexander Scriven, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry. Found. Trends Inf. Syst. 7 (1-2) (2023)
Kuang Zhou, Jiang Ming, Bogdan Gabrys
GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation. SMC (2023)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Review and Assessment of Digital Twin-Oriented Social Network Simulators. CoRR (2023)
David Jacob Kedziora, Anna Musial, Wojciech Rudno-Rudzinski, Bogdan Gabrys
The Challenge of Quickly Determining the Quality of a Single-Photon Source. CoRR (2023)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous node features and interaction rules. CoRR (2023)
Patryk Grelewicz, Thanh Tung Khuat, Jacek Czeczot, Pawel Nowak, Tomasz Klopot, Bogdan Gabrys
Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems. IEEE Trans. Syst. Man Cybern. Syst. 53 (7) (2023)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Review and Assessment of Digital Twin-Oriented Social Network Simulators. IEEE Access 11 (2023)
Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives. Found. Trends Hum. Comput. Interact. 17 (3-4) (2023)
Mingshan Jia, Pasquale De Meo, Bogdan Gabrys, Katarzyna Musial
Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia. CoRR (2023)
David Jacob Kedziora, Anna Musial, Wojciech Rudno-Rudzinski, Bogdan Gabrys
Harnessing data augmentation to quantify uncertainty in the early estimation of single-photon source quality. Mach. Learn. Sci. Technol. 4 (4) (2023)
Patryk Grelewicz, Pawel Nowak, Thanh Tung Khuat, Jacek Czeczot, Tomasz Klopot, Bogdan Gabrys
Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems. Appl. Soft Comput. 146 (2023)
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
A Network Science Perspective of Graph Convolutional Networks: A Survey. IEEE Access 11 (2023)
Thanh Tung Khuat, Bogdan Gabrys
An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data. Appl. Soft Comput. 137 (2023)
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
A Network Science perspective of Graph Convolutional Networks: A survey. CoRR (2023)
Thanh Tung Khuat, Bogdan Gabrys
hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms. SoftwareX 23 (2023)
Joakim Skarding, Matthew Hellmich, Bogdan Gabrys, Katarzyna Musial
A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction. IEEE Access 10 (2022)
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
Measuring Quadrangle Formation in Complex Networks. IEEE Trans. Netw. Sci. Eng. 9 (2) (2022)
Mingshan Jia, Maité Van Alboom, Liesbet Goubert, Piet Bracke, Bogdan Gabrys, Katarzyna Musial
Analysing Egocentric Networks via Local Structure and Centrality Measures: A Study on Chronic Pain Patients. ICOIN (2022)
Thanh Tung Khuat, Bogdan Gabrys
hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms. CoRR (2022)
Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
The Roles and Modes of Human Interactions with Automated Machine Learning Systems. CoRR (2022)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. CoRR (2022)
Alexander Scriven, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry. CoRR (2022)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. IEEE Access 10 (2022)
David Jacob Kedziora, Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys
On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning. CoRR (2022)
Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys
NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Mingshan Jia, Maité Van Alboom, Liesbet Goubert, Piet Bracke, Bogdan Gabrys, Katarzyna Musial
Analysing Ego-Networks via Typed-Edge Graphlets: A Case Study of Chronic Pain Patients. COMPLEX NETWORKS (2021)
Rashid Bakirov, Damien Fay, Bogdan Gabrys
Automated adaptation strategies for stream learning. Mach. Learn. 110 (6) (2021)
Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. IJCNN (2021)
Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. CoRR (2021)
Thanh Tung Khuat, Bogdan Gabrys
Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule. Inf. Sci. 547 (2021)
Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys
Hyperbox-based machine learning algorithms: a comprehensive survey. Soft Comput. 25 (2) (2021)
Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys
AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation. Expert Syst. Appl. 185 (2021)
Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
Automated Deep Learning: Neural Architecture Search Is Not the End. CoRR (2021)
Patryk Grelewicz, Thanh Tung Khuat, Jacek Czeczot, Tomasz Klopot, Bogdan Gabrys
Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems. CoRR (2021)
Thanh Tung Khuat, Bogdan Gabrys
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. Neurocomputing 464 (2021)
Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network. IEEE Trans. Fuzzy Syst. 29 (2) (2021)
Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey. IEEE Access 9 (2021)
Neil Vaughan, Bogdan Gabrys
Scoring and assessment in medical VR training simulators with dynamic time series classification. Eng. Appl. Artif. Intell. 94 (2020)
Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. IJCNN (2020)
Neil Vaughan, Bogdan Gabrys
Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification. CoRR (2020)
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD (2020)
Thanh Tung Khuat, Bogdan Gabrys
Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule. CoRR (2020)
Thanh Tung Khuat, Bogdan Gabrys
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. CoRR (2020)
Thanh Tung Khuat, Bogdan Gabrys
Random Hyperboxes. CoRR (2020)
Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. IDA (2020)
Thanh Tung Khuat, Bogdan Gabrys
An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data. CoRR (2020)
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
Closure Coefficient in Complex Directed Networks. COMPLEX NETWORKS (1) (2020)
David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. CoRR (2020)
Nikunja Mohan Modak, Valeria Lobos-Ossandón, José M. Merigó, Bogdan Gabrys, Jay H. Lee
Forty years of computers & chemical engineering: A bibliometric analysis. Comput. Chem. Eng. 141 (2020)
Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le
AutoHAS: Differentiable Hyper-parameter and Architecture Search. CoRR (2020)
Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. CoRR (2020)
Thanh Tung Khuat, Bogdan Gabrys
A comparative study of general fuzzy min-max neural networks for pattern classification problems. Neurocomputing 386 (2020)
Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys
NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size. CoRR (2020)
Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey. CoRR (2020)
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
Measuring Quadrangle Formation in Complex Networks. CoRR (2020)
Tien-Dung Nguyen, Bogdan Gabrys, Katarzyna Musial
AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation. CoRR (2020)
Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems. CoRR (2020)
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. CoRR (2020)
Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
An improved online learning algorithm for general fuzzy min-max neural network. CoRR (2020)
Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network. CoRR (2019)
Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously. PRICAI (2) (2019)
Thanh Tung Khuat, Bogdan Gabrys
Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data. ICONIP (1) (2019)
Thanh Tung Khuat, Bogdan Gabrys
A comparative study of general fuzzy min-max neural networks for pattern classification problems. CoRR (2019)
Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation. PRICAI (2) (2019)
Simon Kocbek, Primoz Kocbek, Tina Zupanic, Gregor Stiglic, Bogdan Gabrys
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients. ICONIP (4) (2019)
Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA. IEEE Trans Autom. Sci. Eng. 16 (2) (2019)
Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys
Hyperbox based machine learning algorithms: A comprehensive survey. CoRR (2019)
Simon Kocbek, Bogdan Gabrys
Automated Machine Learning Techniques in Prognostics of Railway Track Defects. ICDM Workshops (2019)
Abbas Raza Ali, Bogdan Gabrys, Marcin Budka
Cross-domain Meta-learning for Time-series Forecasting. KES (2018)
Meng Qin, Di Jin, Kai Lei, Bogdan Gabrys, Katarzyna Musial-Gabrys
. Knowl. Based Syst. 161 (2018)
Lucy Kendrick, Katarzyna Musial, Bogdan Gabrys
Change point detection in social networks - Critical review with experiments. Comput. Sci. Rev. 29 (2018)
Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
Robust Detection of Communities with Multi-semantics in Large Attributed Networks. KSEM (1) (2018)
Rashid Bakirov, Bogdan Gabrys, Damien Fay
Generic adaptation strategies for automated machine learning. CoRR (2018)
Fei Gao, Katarzyna Musial, Bogdan Gabrys
A Community Bridge Boosting Social Network Link Prediction Model. ASONAM (2017)
Bassma Al-Jubouri, Bogdan Gabrys
Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach. ADMA (2017)
Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
Adaptive Community Detection Incorporating Topology and Content in Social Networks. ASONAM (2017)
Rashid Bakirov, Bogdan Gabrys, Damien Fay
Multiple adaptive mechanisms for data-driven soft sensors. Comput. Chem. Eng. 96 (2017)
Mai Le, Bogdan Gabrys, Detlef D. Nauck
A hybrid model for business process event and outcome prediction. Expert Syst. J. Knowl. Eng. 34 (5) (2017)
Bassma Al-Jubouri, Bogdan Gabrys
Local Learning for Multi-layer, Multi-component Predictive System. KES (2016)
Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
Towards Automatic Composition of Multicomponent Predictive Systems. HAIS (2016)
Neil Vaughan, Bogdan Gabrys, Venketesh N. Dubey
An overview of self-adaptive technologies within virtual reality training. Comput. Sci. Rev. 22 (2016)
Hongmei He, Carsten Maple, Tim Watson, Ashutosh Tiwari, Jörn Mehnen, Yaochu Jin, Bogdan Gabrys
The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. CEC (2016)
Neil Vaughan, Bogdan Gabrys
Comparing and Combining Time Series Trajectories Using Dynamic Time Warping. KES (2016)
Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
Automatic composition and optimisation of multicomponent predictive systems. CoRR (2016)
Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems. KES (2016)
Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach. Knowl. Based Syst. 110 (2016)
Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. AutoML@ICML (2016)
Hongmei He, Ashutosh Tiwari, Jörn Mehnen, Tim Watson, Carsten Maple, Yaochu Jin, Bogdan Gabrys
Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. CEC (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bogdan Gabrys