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2020 – today
- 2024
[j76]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: 6912-6913 (2024)- [j75]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: 111250 (2024) - [j74]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: 108585 (2024) - [j73]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: 122359 (2024) - [j72]David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. Found. Trends Mach. Learn. 17(4): 590-766 (2024) - [j71]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): 767-920 (2024) - [j70]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
DTCNS: A python toolbox for digital twin-oriented complex networked systems. SoftwareX 27: 101818 (2024) - [j69]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): 3250-3259 (2024) - [c75]Thanh Tung Khuat, Robert Bassett, Ellen Otte, Bogdan Gabrys:
Online Machine Learning for Real-Time Cell Culture Process Monitoring. AI (2) 2024: 363-375 - [c74]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators. FUZZ 2024: 1-8 - [i38]David Jacob Kedziora, Anna Musial, Wojciech Rudno-Rudzinski, Bogdan Gabrys:
Transfer Learning and the Early Estimation of Single-Photon Source Quality using Machine Learning Methods. CoRR abs/2408.11322 (2024) - [i37]Thanh Tung Khuat, Robert Bassett, Ellen Otte, Bogdan Gabrys:
Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes. CoRR abs/2409.02149 (2024) - [i36]Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabrys:
Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production. CoRR abs/2411.01404 (2024) - 2023
- [j68]Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
A Network Science Perspective of Graph Convolutional Networks: A Survey. IEEE Access 11: 39083-39122 (2023) - [j67]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Review and Assessment of Digital Twin-Oriented Social Network Simulators. IEEE Access 11: 97503-97521 (2023) - [j66]Thanh Tung Khuat, Bogdan Gabrys:
An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data. Appl. Soft Comput. 137: 110152 (2023) - [j65]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: 110690 (2023) - [j64]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): 195-387 (2023) - [j63]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): 1-252 (2023) - [j62]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): 45042 (2023) - [j61]Thanh Tung Khuat, Bogdan Gabrys:
hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms. SoftwareX 23: 101425 (2023) - [j60]Thanh Tung Khuat, Bogdan Gabrys:
Random Hyperboxes. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1008-1022 (2023) - [j59]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): 4226-4238 (2023) - [c73]Kuang Zhou, Jiang Ming, Bogdan Gabrys:
GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation. SMC 2023: 3777-3782 - [i35]Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
A Network Science perspective of Graph Convolutional Networks: A survey. CoRR abs/2301.04824 (2023) - [i34]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Review and Assessment of Digital Twin-Oriented Social Network Simulators. CoRR abs/2305.03234 (2023) - [i33]David Jacob Kedziora, Anna Musial, Wojciech Rudno-Rudzinski, Bogdan Gabrys:
The Challenge of Quickly Determining the Quality of a Single-Photon Source. CoRR abs/2306.15683 (2023) - [i32]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous node features and interaction rules. CoRR abs/2308.11034 (2023) - [i31]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems. CoRR abs/2309.13229 (2023) - [i30]Mingshan Jia, Pasquale De Meo, Bogdan Gabrys, Katarzyna Musial:
Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia. CoRR abs/2310.09987 (2023) - [i29]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 abs/2310.09991 (2023) - 2022
- [j58]Joakim Skarding, Matthew Hellmich, Bogdan Gabrys, Katarzyna Musial:
A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction. IEEE Access 10: 64146-64160 (2022) - [j57]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. IEEE Access 10: 66886-66923 (2022) - [j56]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): 3634-3646 (2022) - [j55]Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
Measuring Quadrangle Formation in Complex Networks. IEEE Trans. Netw. Sci. Eng. 9(2): 538-551 (2022) - [c72]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: 152-157 - [i28]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. CoRR abs/2202.09363 (2022) - [i27]Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys:
The Roles and Modes of Human Interactions with Automated Machine Learning Systems. CoRR abs/2205.04139 (2022) - [i26]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 abs/2208.04376 (2022) - [i25]Thanh Tung Khuat, Bogdan Gabrys:
hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms. CoRR abs/2210.02704 (2022) - [i24]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 abs/2211.04148 (2022) - 2021
- [j54]Joakim Skarding, Bogdan Gabrys, Katarzyna Musial:
Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey. IEEE Access 9: 79143-79168 (2021) - [j53]Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys:
AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation. Expert Syst. Appl. 185: 115643 (2021) - [j52]Thanh Tung Khuat, Bogdan Gabrys:
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. Neurocomputing 464: 175-202 (2021) - [j51]Thanh Tung Khuat, Bogdan Gabrys:
Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule. Inf. Sci. 547: 887-909 (2021) - [j50]Rashid Bakirov, Damien Fay, Bogdan Gabrys:
Automated adaptation strategies for stream learning. Mach. Learn. 110(6): 1429-1462 (2021) - [j49]Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys:
Hyperbox-based machine learning algorithms: a comprehensive survey. Soft Comput. 25(2): 1325-1363 (2021) - [j48]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): 427-441 (2021) - [c71]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: 514-526 - [c70]Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. IJCNN 2021: 1-8 - [i23]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 abs/2101.02939 (2021) - [i22]Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. CoRR abs/2105.00282 (2021) - [i21]Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Automated Deep Learning: Neural Architecture Search Is Not the End. CoRR abs/2112.09245 (2021) - 2020
- [j47]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: 106978 (2020) - [j46]Neil Vaughan, Bogdan Gabrys:
Scoring and assessment in medical VR training simulators with dynamic time series classification. Eng. Appl. Artif. Intell. 94: 103760 (2020) - [j45]Thanh Tung Khuat, Bogdan Gabrys:
A comparative study of general fuzzy min-max neural networks for pattern classification problems. Neurocomputing 386: 110-125 (2020) - [c69]Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
Closure Coefficient in Complex Directed Networks. COMPLEX NETWORKS (1) 2020: 62-74 - [c68]Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys:
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. IDA 2020: 352-365 - [c67]Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. IJCNN 2020: 1-9 - [c66]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: 1503-1511 - [i20]Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An improved online learning algorithm for general fuzzy min-max neural network. CoRR abs/2001.02391 (2020) - [i19]Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys:
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. CoRR abs/2001.11158 (2020) - [i18]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 abs/2003.11333 (2020) - [i17]Joakim Skarding, Bogdan Gabrys, Katarzyna Musial:
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey. CoRR abs/2005.07496 (2020) - [i16]Thanh Tung Khuat, Bogdan Gabrys:
Random Hyperboxes. CoRR abs/2006.00695 (2020) - [i15]Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial:
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. CoRR abs/2006.01963 (2020) - [i14]Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le:
AutoHAS: Differentiable Hyper-parameter and Architecture Search. CoRR abs/2006.03656 (2020) - [i13]Neil Vaughan, Bogdan Gabrys:
Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification. CoRR abs/2006.12366 (2020) - [i12]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 abs/2007.10818 (2020) - [i11]Thanh Tung Khuat, Bogdan Gabrys:
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. CoRR abs/2009.00237 (2020) - [i10]Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys:
NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size. CoRR abs/2009.00437 (2020) - [i9]Thanh Tung Khuat, Bogdan Gabrys:
An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data. CoRR abs/2009.14670 (2020) - [i8]Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
Measuring Quadrangle Formation in Complex Networks. CoRR abs/2011.10763 (2020) - [i7]Tien-Dung Nguyen, Bogdan Gabrys, Katarzyna Musial:
AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation. CoRR abs/2011.11846 (2020) - [i6]David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. CoRR abs/2012.12600 (2020)
2010 – 2019
- 2019
- [j44]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): 946-959 (2019) - [c65]Simon Kocbek, Bogdan Gabrys:
Automated Machine Learning Techniques in Prognostics of Railway Track Defects. ICDM Workshops 2019: 777-784 - [c64]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: 583-595 - [c63]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: 624-632 - [c62]Abbas Raza Ali, Marcin Budka, Bogdan Gabrys:
Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation. PRICAI (2) 2019: 66-79 - [c61]Abbas Raza Ali, Marcin Budka, Bogdan Gabrys:
A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously. PRICAI (2) 2019: 93-106 - [i5]Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys:
Hyperbox based machine learning algorithms: A comprehensive survey. CoRR abs/1901.11303 (2019) - [i4]Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network. CoRR abs/1905.12170 (2019) - [i3]Thanh Tung Khuat, Bogdan Gabrys:
A comparative study of general fuzzy min-max neural networks for pattern classification problems. CoRR abs/1907.13308 (2019) - 2018
- [j43]Lucy Kendrick, Katarzyna Musial, Bogdan Gabrys:
Change point detection in social networks - Critical review with experiments. Comput. Sci. Rev. 29: 1-13 (2018) - [j42]Meng Qin, Di Jin, Kai Lei, Bogdan Gabrys, Katarzyna Musial-Gabrys:
Adaptive community detection incorporating topology and content in social networks✰. Knowl. Based Syst. 161: 342-356 (2018) - [c60]Abbas Raza Ali, Bogdan Gabrys, Marcin Budka:
Cross-domain Meta-learning for Time-series Forecasting. KES 2018: 9-18 - [c59]Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial:
Robust Detection of Communities with Multi-semantics in Large Attributed Networks. KSEM (1) 2018: 362-376 - [i2]Rashid Bakirov, Bogdan Gabrys, Damien Fay:
Generic adaptation strategies for automated machine learning. CoRR abs/1812.10793 (2018) - 2017
- [j41]Rashid Bakirov, Bogdan Gabrys, Damien Fay:
Multiple adaptive mechanisms for data-driven soft sensors. Comput. Chem. Eng. 96: 42-54 (2017) - [j40]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) - [c58]Bassma Al-Jubouri, Bogdan Gabrys:
Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach. ADMA 2017: 313-325 - [c57]Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial:
Adaptive Community Detection Incorporating Topology and Content in Social Networks. ASONAM 2017: 675-682 - [c56]Fei Gao, Katarzyna Musial, Bogdan Gabrys:
A Community Bridge Boosting Social Network Link Prediction Model. ASONAM 2017: 683-689 - 2016
- [j39]Neil Vaughan, Bogdan Gabrys, Venketesh N. Dubey:
An overview of self-adaptive technologies within virtual reality training. Comput. Sci. Rev. 22: 65-87 (2016) - [j38]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: 121-134 (2016) - [c55]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: 1015-1021 - [c54]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: 1022-1029 - [c53]Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys:
Towards Automatic Composition of Multicomponent Predictive Systems. HAIS 2016: 27-39 - [c52]Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys:
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. AutoML@ICML 2016: 48-57 - [c51]Rashid Bakirov, Bogdan Gabrys, Damien Fay:
Augmenting adaptation with retrospective model correction for non-stationary regression problems. IJCNN 2016: 771-779 - [c50]Neil Vaughan, Bogdan Gabrys:
Comparing and Combining Time Series Trajectories Using Dynamic Time Warping. KES 2016: 465-474 - [c49]Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys:
Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems. KES 2016: 713-722 - [c48]Bassma Al-Jubouri, Bogdan Gabrys:
Local Learning for Multi-layer, Multi-component Predictive System. KES 2016: 723-732 - [e5]Robert J. Howlett, Lakhmi C. Jain, Bogdan Gabrys, Carlos Toro, Chee Peng Lim:
Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, York, UK, 5-7 September 2016. Procedia Computer Science 96, Elsevier 2016 [contents] - [i1]Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys:
Automatic composition and optimisation of multicomponent predictive systems. CoRR abs/1612.08789 (2016) - 2015
- [j37]Christiane Lemke, Marcin Budka, Bogdan Gabrys:
Metalearning: a survey of trends and technologies. Artif. Intell. Rev. 44(1): 117-130 (2015) - [c47]Rashid Bakirov, Bogdan Gabrys, Damien Fay:
On sequences of different adaptive mechanisms in non-stationary regression problems. IJCNN 2015: 1-8 - [e4]Dariusz Król, Damien Fay, Bogdan Gabrys:
Propagation Phenomena in Real World Networks. Intelligent Systems Reference Library 85, Springer 2015, ISBN 978-3-319-15915-7 [contents] - 2014
- [j36]Edward Tersoo Apeh, Bogdan Gabrys, Amanda C. Schierz:
Customer profile classification: To adapt classifiers or to relabel customer profiles? Neurocomputing 132: 3-13 (2014) - [j35]Indre Zliobaite, Bogdan Gabrys:
Adaptive Preprocessing for Streaming Data. IEEE Trans. Knowl. Data Eng. 26(2): 309-321 (2014) - [c46]Bassma Al-Jubouri, Bogdan Gabrys:
Multicriteria approaches for predictive model generation: A comparative experimental study. MCDM 2014: 64-71 - [c45]Pawel Nowak, Jacek Czeczot, Tomasz Klopot, Mateusz Szymura, Bogdan Gabrys:
Linearizing Controller for Higher-degree Nonlinear Processes with Compensation for Modeling Inaccuracies - Practical Validation and Future Developments. ICINCO (1) 2014: 691-698 - [c44]Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan, Athanasios Tsakonas, Indre Zliobaite:
From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors. IDA 2014: 49-60 - [c43]Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin:
Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction. IPMU (1) 2014: 168-178 - [c42]Manuel Martin Salvador, Bogdan Gabrys, Indre Zliobaite:
Online Detection of Shutdown Periods in Chemical Plants: A Case Study. KES 2014: 580-588 - 2013
- [j34]Athanasios Tsakonas, Bogdan Gabrys:
A fuzzy evolutionary framework for combining ensembles. Appl. Soft Comput. 13(4): 1800-1812 (2013) - [j33]Edward Tersoo Apeh, Bogdan Gabrys:
Detecting and Visualizing the Change in Classification of Customer Profiles based on Transactional Data. Evol. Syst. 4(1): 27-42 (2013) - [j32]Petr Kadlec, Bogdan Gabrys:
Erratum to: Architecture for development of adaptive on-line prediction models. Memetic Comput. 5(1): 79 (2013) - [j31]Marcin Budka, Bogdan Gabrys:
Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation. IEEE Trans. Neural Networks Learn. Syst. 24(1): 22-34 (2013) - [j30]Frederic T. Stahl, Bogdan Gabrys, Mohamed Medhat Gaber, Monika Berendsen:
An overview of interactive visual data mining techniques for knowledge discovery. WIREs Data Mining Knowl. Discov. 3(4): 239-256 (2013) - [c41]Katarzyna Musial, Bogdan Gabrys, Marcin Buczko:
What kind of network are you?: using local and global characteristics in network categorisation tasks. ASONAM 2013: 1366-1373 - [c40]Bogdan Gabrys:
Robust Adaptive Predictive Modeling and Data Deluge (Extended Abstract). ICMMI 2013: 39-41 - [c39]Rashid Bakirov, Bogdan Gabrys:
Investigation of Expert Addition Criteria for Dynamically Changing Online Ensemble Classifiers with Multiple Adaptive Mechanisms. AIAI 2013: 646-656 - [c38]Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin:
KNNs and Sequence Alignment for Churn Prediction. SGAI Conf. 2013: 279-285 - [c37]Mai Le, Detlef D. Nauck, Bogdan Gabrys:
Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning. SIMPDA 2013: 1-15 - 2012
- [j29]Mark Eastwood, Bogdan Gabrys:
Generalised bottom-up pruning: A model level combination of decision trees. Expert Syst. Appl. 39(10): 9150-9158 (2012) - [j28]Corneliu T. C. Arsene, Bogdan Gabrys, David Al-Dabass:
Decision support system for water distribution systems based on neural networks and graphs theory for leakage detection. Expert Syst. Appl. 39(18): 13214-13224 (2012) - [j27]Athanasios Tsakonas, Bogdan Gabrys:
GRADIENT: Grammar-driven genetic programming framework for building multi-component, hierarchical predictive systems. Expert Syst. Appl. 39(18): 13253-13266 (2012) - [j26]Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro L. Minku, Katarzyna Musial:
Next challenges for adaptive learning systems. SIGKDD Explor. 14(1): 48-55 (2012) - [c36]Athanasios Tsakonas, Bogdan Gabrys:
Application of Base Learners as Conditional Input for Fuzzy Rule-Based Combined System. IJCCI (Selected Papers) 2012: 19-32 - [c35]Athanasios Tsakonas, Bogdan Gabrys:
Fuzzy Base Predictor Outputs as Conditional Selectors for Evolved Combined Prediction System. IJCCI 2012: 34-41 - [c34]Mai Le, Bogdan Gabrys, Detlef D. Nauck:
A Hybrid Model for Business Process Event Prediction. SGAI Conf. 2012: 179-192 - [c33]Edward Tersoo Apeh, Indre Zliobaite, Mykola Pechenizkiy, Bogdan Gabrys:
Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales. SGAI Conf. 2012: 213-218 - 2011
- [j25]Petr Kadlec, Ratko Grbic, Bogdan Gabrys:
Review of adaptation mechanisms for data-driven soft sensors. Comput. Chem. Eng. 35(1): 1-24 (2011) - [j24]Marcin Budka, Bogdan Gabrys, Katarzyna Musial:
On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling. Entropy 13(7): 1229-1266 (2011) - [j23]Marcin Budka, Bogdan Gabrys:
Electrostatic field framework for supervised and semi-supervised learning from incomplete data. Nat. Comput. 10(2): 921-945 (2011) - [j22]Dymitr Ruta, Bogdan Gabrys, Christiane Lemke:
A Generic Multilevel Architecture for Time Series Prediction. IEEE Trans. Knowl. Data Eng. 23(3): 350-359 (2011) - [c32]Mark Eastwood, Bogdan Gabrys:
Model level combination of tree ensemble hyperboxes via GFMM. FSKD 2011: 443-447 - [c31]Edward Tersoo Apeh, Bogdan Gabrys:
Change Mining of Customer Profiles Based on Transactional Data. ICDM Workshops 2011: 560-567 - [c30]Athanasios Tsakonas, Bogdan Gabrys:
Evolving Takagi-Sugeno-Kang Fuzzy Systems using Multi Population Grammar-Guided Genetic Programming. IJCCI (ECTA-FCTA) 2011: 278-281 - [c29]Edward Tersoo Apeh, Bogdan Gabrys, Amanda C. Schierz:
Customer profile classification using transactional data. NaBIC 2011: 37-43 - 2010
- [j21]Christiane Lemke, Bogdan Gabrys:
Meta-learning for time series forecasting and forecast combination. Neurocomputing 73(10-12): 2006-2016 (2010) - [c28]Christiane Lemke, Bogdan Gabrys:
Meta-learning for time series forecasting in the NN GC1 competition. FUZZ-IEEE 2010: 1-5 - [c27]Marcin Budka, Bogdan Gabrys:
Correntropy-based density-preserving data sampling as an alternative to standard cross-validation. IJCNN 2010: 1-8 - [c26]Petr Kadlec, Bogdan Gabrys:
Adaptive on-line prediction soft sensing without historical data. IJCNN 2010: 1-8 - [c25]Marcin Budka, Bogdan Gabrys:
Ridge regression ensemble for toxicity prediction. ICCS 2010: 193-201
2000 – 2009
- 2009
- [j20]Krzysztof Juszczyszyn, Katarzyna Musial, Przemyslaw Kazienko, Bogdan Gabrys:
Temporal Changes in Local Topology of an Email-Based Social Network. Comput. Informatics 28(6): 763-779 (2009) - [j19]Petr Kadlec, Bogdan Gabrys, Sibylle Strandt:
Data-driven Soft Sensors in the process industry. Comput. Chem. Eng. 33(4): 795-814 (2009) - [j18]Petr Kadlec, Bogdan Gabrys:
Architecture for development of adaptive on-line prediction models. Memetic Comput. 1(4): 241-269 (2009) - [j17]Bogdan Gabrys, Davide Anguita:
Nature-inspired learning and adaptive systems. Nat. Comput. 8(2): 197-198 (2009) - [j16]Dymitr Ruta, Bogdan Gabrys:
A framework for machine learning based on dynamic physical fields. Nat. Comput. 8(2): 219-237 (2009) - [j15]Silvia Riedel, Bogdan Gabrys:
Pooling for Combination of Multilevel Forecasts. IEEE Trans. Knowl. Data Eng. 21(12): 1753-1766 (2009) - [c24]Christiane Lemke, Silvia Riedel, Bogdan Gabrys:
Dynamic combination of forecasts generated by diversification procedures applied to forecasting of airline cancellations. CIFEr 2009: 85-91 - [c23]Bogdan Gabrys:
Learning with Missing or Incomplete Data. ICIAP 2009: 1-4 - [c22]Petr Kadlec, Bogdan Gabrys:
Soft sensors: Where are we and what are the current and future challenges? ICONS 2009: 572-579 - [c21]Mark Eastwood, Bogdan Gabrys:
A Non-sequential Representation of Sequential Data for Churn Prediction. KES (1) 2009: 209-218 - [p2]Marcin Budka, Bogdan Gabrys:
Electrostatic Field Classifier for Deficient Data. Computer Recognition Systems 3 2009: 311-318 - 2008
- [c20]Petr Kadlec, Bogdan Gabrys:
Adaptive Local Learning Soft Sensor for Inferential Control Support. CIMCA/IAWTIC/ISE 2008: 243-248 - [c19]Christiane Lemke, Bogdan Gabrys:
Do we need experts for time series forecasting?. ESANN 2008: 253-258 - [c18]Bogdan Gabrys:
Do Smart Adaptive Systems Exist? Hybrid Intelligent Systems Perspective. HAIS 2008: 2-3 - [c17]Krzysztof Juszczyszyn, Przemyslaw Kazienko, Katarzyna Musial, Bogdan Gabrys:
Temporal Changes in Connection Patterns of an Email-Based Social Network. Web Intelligence/IAT Workshops 2008: 9-12 - [c16]Katarzyna Musial, Krzysztof Juszczyszyn, Bogdan Gabrys, Przemyslaw Kazienko:
Patterns of Interactions in Complex Social Networks Based on Coloured Motifs Analysis. ICONIP (2) 2008: 607-614 - [c15]Petr Kadlec, Bogdan Gabrys:
Soft Sensor Based on Adaptive Local Learning. ICONIP (1) 2008: 1172-1179 - [c14]Petr Kadlec, Bogdan Gabrys:
Learnt Topology Gating Artificial Neural Networks. IJCNN 2008: 2604-2611 - [p1]Petr Kadlec, Bogdan Gabrys:
Gating Artificial Neural Network Based Soft Sensor. New Challenges in Applied Intelligence Technologies 2008: 193-202 - 2007
- [j14]Honghai Liu, Robert J. Howlett, Bogdan Gabrys:
Special issue: Extended papers selected from KES-2006. Int. J. Knowl. Based Intell. Eng. Syst. 11(4): 199-200 (2007) - [j13]Mark Eastwood, Bogdan Gabrys:
The Dynamics of Negative Correlation Learning. J. VLSI Signal Process. 49(2): 251-263 (2007) - [j12]Silvia Riedel, Bogdan Gabrys:
Combination of Multi Level Forecasts. J. VLSI Signal Process. 49(2): 265-280 (2007) - [c13]Abdelhamid Bouchachia, Bogdan Gabrys, Zoheir Sahel:
Overview of Some Incremental Learning Algorithms. FUZZ-IEEE 2007: 1-6 - [c12]Silvia Riedel, Bogdan Gabrys:
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning. IJCNN 2007: 454-459 - [c11]Dymitr Ruta, Bogdan Gabrys:
Neural Network Ensembles for Time Series Prediction. IJCNN 2007: 1204-1209 - [c10]Martin Macas, Bogdan Gabrys, Dymitr Ruta, Lenka Lhotská:
Particle Swarm Optimisation of Multiple Classifier Systems. IWANN 2007: 333-340 - [c9]Zoheir Sahel, Abdelhamid Bouchachia, Bogdan Gabrys, Paul Rogers:
Adaptive Mechanisms for Classification Problems with Drifting Data. KES (2) 2007: 419-426 - 2006
- [j11]Bogdan Gabrys, Dymitr Ruta:
Genetic algorithms in classifier fusion. Appl. Soft Comput. 6(4): 337-347 (2006) - [c8]Emilio Corchado, Bruno Baruque, Bogdan Gabrys:
Maximum Likelihood Topology Preserving Ensembles. IDEAL 2006: 1434-1442 - [c7]Bogdan Gabrys, Bruno Baruque, Emilio Corchado:
Outlier Resistant PCA Ensembles. KES (3) 2006: 432-440 - [c6]Edward Tersoo Apeh, Bogdan Gabrys:
Clustering for Data Matching. KES (1) 2006: 1216-1225 - [e3]Bogdan Gabrys, Robert J. Howlett, Lakhmi C. Jain:
Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part I. Lecture Notes in Computer Science 4251, Springer 2006, ISBN 3-540-46535-9 [contents] - [e2]Bogdan Gabrys, Robert J. Howlett, Lakhmi C. Jain:
Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part II. Lecture Notes in Computer Science 4252, Springer 2006, ISBN 3-540-46537-5 [contents] - [e1]Bogdan Gabrys, Robert J. Howlett, Lakhmi C. Jain:
Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part III. Lecture Notes in Computer Science 4253, Springer 2006, ISBN 3-540-46542-1 [contents] - 2005
- [j10]Dymitr Ruta, Bogdan Gabrys:
Classifier selection for majority voting. Inf. Fusion 6(1): 63-81 (2005) - 2004
- [j9]Bogdan Gabrys:
Learning hybrid neuro-fuzzy classifier models from data: to combine or not to combine? Fuzzy Sets Syst. 147(1): 39-56 (2004) - [j8]Bogdan Gabrys:
Special issue on integration of methods and hybrid systems. Int. J. Approx. Reason. 35(3): 203-204 (2004) - [j7]Bogdan Gabrys, Lina Petrakieva:
Combining labelled and unlabelled data in the design of pattern classification systems. Int. J. Approx. Reason. 35(3): 251-273 (2004) - [c5]Silvia Riedel, Bogdan Gabrys:
Hierarchical Multilevel Approaches of Forecast Combination. OR 2004: 479-486 - 2003
- [j6]Dymitr Ruta, Bogdan Gabrys:
Physical field models for pattern classification. Soft Comput. 8(2): 126-141 (2003) - 2002
- [j5]Bogdan Gabrys:
Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems. Int. J. Approx. Reason. 30(3): 149-179 (2002) - [j4]Colin Fyfe, Bogdan Gabrys:
Guest editorial introduction. Knowl. Based Syst. 15(1-2): 1-2 (2002) - [j3]Dymitr Ruta, Bogdan Gabrys:
A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems. Pattern Anal. Appl. 5(4): 333-350 (2002) - [j2]Bogdan Gabrys:
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network. J. VLSI Signal Process. 32(1-2): 67-82 (2002) - [c4]Dymitr Ruta, Bogdan Gabrys:
New Measure of Classifier Dependency in Multiple Classifier Systems. Multiple Classifier Systems 2002: 127-136 - [c3]Dymitr Ruta, Bogdan Gabrys:
Static Field Approach for Pattern Classification. Soft-Ware 2002: 232-246 - 2001
- [c2]Dymitr Ruta, Bogdan Gabrys:
Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting. Multiple Classifier Systems 2001: 399-408 - 2000
- [j1]Bogdan Gabrys, Andrzej Bargiela:
General fuzzy min-max neural network for clustering and classification. IEEE Trans. Neural Networks Learn. Syst. 11(3): 769-783 (2000) - [c1]Bogdan Gabrys:
Pattern classification for incomplete data. KES 2000: 454-457
Coauthor Index
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