Bogdan Gabrys - RankMe

209 papers A* 3B 27C 3Misc 6Journal 123Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs. EACL (Findings) Albert Sawczyn, Jakub Binkowski, Denis Janiak, Bogdan Gabrys, Tomasz Kajdanowicz
2025	J	`jnl`	FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs. CoRR Albert Sawczyn, Jakub Binkowski, Denis Janiak, Bogdan Gabrys, Tomasz Kajdanowicz
2025	A*	`conf`	Hallucination Detection in LLMs Using Spectral Features of Attention Maps. EMNLP Jakub Binkowski, Denis Janiak, Albert Sawczyn, Bogdan Gabrys, Tomasz Kajdanowicz
2025	J	`jnl`	Hallucination Detection in LLMs Using Spectral Features of Attention Maps. CoRR Jakub Binkowski, Denis Janiak, Albert Sawczyn, Bogdan Gabrys, Tomasz Kajdanowicz
2025	J	`jnl`	Learning Causal Representations Based on a GAE Embedded Autoencoder. IEEE Trans. Knowl. Data Eng. Kuang Zhou, Ming Jiang, Bogdan Gabrys, Yong Xu
2025	J	`jnl`	Learning From Limited Data and Feedback for Cell Culture Process Monitoring: A Comparative Study. CoRR Johnny Peng, Thanh Tung Khuat, Ellen Otte, Katarzyna Musial, Bogdan Gabrys
2025	J	`jnl`	Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring. CoRR Thanh Tung Khuat, Johnny Peng, Robert Bassett, Ellen Otte, Bogdan Gabrys
2025	J	`jnl`	Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review. CoRR Johnny Peng, Thanh Tung Khuat, Katarzyna Musial, Bogdan Gabrys
2025	—	`conf`	Scalable Hyperbox Clustering for Geospatial Data. FUZZ Dymitr Ruta, Ernesto Damiani, Bogdan Gabrys
2025	A*	`conf`	The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs. EMNLP Denis Janiak, Jakub Binkowski, Albert Sawczyn, Bogdan Gabrys, Ravid Shwartz-Ziv, Tomasz Kajdanowicz
2025	J	`jnl`	The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs. CoRR Denis Janiak, Jakub Binkowski, Albert Sawczyn, Bogdan Gabrys, Ravid Shwartz-Ziv, Tomasz Kajdanowicz
2025	J	`jnl`	Transfer learning and the early estimation of single-photon source quality using machine learning methods. Mach. Learn. Sci. Technol. David Jacob Kedziora, Anna Musial, Wojciech Rudno-Rudzinski, Bogdan Gabrys
2024	J	`jnl`	Application of self-improving Q-learning controller for a class of dynamical processes: Implementation aspects. Appl. Soft Comput. Jakub Musial, Krzysztof Stebel, Jacek Czeczot, Pawel Nowak, Bogdan Gabrys
2024	J	`jnl`	Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities. Comput. Chem. Eng. Thanh Tung Khuat, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys
2024	J	`jnl`	Automated Deep Learning: Neural Architecture Search Is Not the End. Found. Trends Mach. Learn. Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
2024	J	`jnl`	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. Found. Trends Mach. Learn. David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
2024	J	`jnl`	Corrections to "A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction". IEEE Access Joakim Skarding, Matthew Hellmich, Bogdan Gabrys, Katarzyna Musial
2024	J	`jnl`	DTCNS: A python toolbox for digital twin-oriented complex networked systems. SoftwareX Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2024	J	`jnl`	Deep Reinforcement Learning for Digital Twin-Oriented Complex Networked Systems. CoRR Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2024	—	`conf`	Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators. FUZZ Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2024	J	`jnl`	Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production. CoRR Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabrys
2024	J	`jnl`	On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning. Expert Syst. Appl. David Jacob Kedziora, Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys
2024	J	`jnl`	On the Effectiveness of Heterogeneous Ensembles Combining Graph Neural Networks and Heuristics for Dynamic Link Prediction. IEEE Trans. Netw. Sci. Eng. Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
2024	—	`conf`	Online Machine Learning for Real-Time Cell Culture Process Monitoring. AI (2) Thanh Tung Khuat, Robert Bassett, Ellen Otte, Bogdan Gabrys
2024	J	`jnl`	Transfer Learning and the Early Estimation of Single-Photon Source Quality using Machine Learning Methods. CoRR David Jacob Kedziora, Anna Musial, Wojciech Rudno-Rudzinski, Bogdan Gabrys
2024	J	`jnl`	Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes. CoRR Thanh Tung Khuat, Robert Bassett, Ellen Otte, Bogdan Gabrys
2023	J	`jnl`	A Network Science Perspective of Graph Convolutional Networks: A Survey. IEEE Access Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
2023	J	`jnl`	A Network Science perspective of Graph Convolutional Networks: A survey. CoRR Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
2023	J	`jnl`	An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data. Appl. Soft Comput. Thanh Tung Khuat, Bogdan Gabrys
2023	J	`jnl`	Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems. IEEE Trans. Syst. Man Cybern. Syst. Patryk Grelewicz, Thanh Tung Khuat, Jacek Czeczot, Pawel Nowak, Tomasz Klopot, Bogdan Gabrys
2023	J	`jnl`	Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities. CoRR Thanh Tung Khuat, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys
2023	J	`jnl`	Digital Twin-Oriented Complex Networked Systems based on Heterogeneous node features and interaction rules. CoRR Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2023	B	`conf`	GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation. SMC Kuang Zhou, Jiang Ming, Bogdan Gabrys
2023	J	`jnl`	Harnessing data augmentation to quantify uncertainty in the early estimation of single-photon source quality. Mach. Learn. Sci. Technol. David Jacob Kedziora, Anna Musial, Wojciech Rudno-Rudzinski, Bogdan Gabrys
2023	J	`jnl`	Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems. CoRR Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2023	J	`jnl`	Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia. CoRR Mingshan Jia, Pasquale De Meo, Bogdan Gabrys, Katarzyna Musial
2023	J	`jnl`	Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems. Appl. Soft Comput. Patryk Grelewicz, Pawel Nowak, Thanh Tung Khuat, Jacek Czeczot, Tomasz Klopot, Bogdan Gabrys
2023	J	`jnl`	Random Hyperboxes. IEEE Trans. Neural Networks Learn. Syst. Thanh Tung Khuat, Bogdan Gabrys
2023	J	`jnl`	Review and Assessment of Digital Twin-Oriented Social Network Simulators. IEEE Access Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2023	J	`jnl`	Review and Assessment of Digital Twin-Oriented Social Network Simulators. CoRR Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2023	J	`jnl`	The Challenge of Quickly Determining the Quality of a Single-Photon Source. CoRR David Jacob Kedziora, Anna Musial, Wojciech Rudno-Rudzinski, Bogdan Gabrys
2023	J	`jnl`	The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives. Found. Trends Hum. Comput. Interact. Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
2023	J	`jnl`	The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry. Found. Trends Inf. Syst. Alexander Scriven, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
2023	J	`jnl`	hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms. SoftwareX Thanh Tung Khuat, Bogdan Gabrys
2022	J	`jnl`	A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction. IEEE Access Joakim Skarding, Matthew Hellmich, Bogdan Gabrys, Katarzyna Musial
2022	—	`conf`	Analysing Egocentric Networks via Local Structure and Centrality Measures: A Study on Chronic Pain Patients. ICOIN Mingshan Jia, Maité Van Alboom, Liesbet Goubert, Piet Bracke, Bogdan Gabrys, Katarzyna Musial
2022	J	`jnl`	Measuring Quadrangle Formation in Complex Networks. IEEE Trans. Netw. Sci. Eng. Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
2022	J	`jnl`	NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size. IEEE Trans. Pattern Anal. Mach. Intell. Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys
2022	J	`jnl`	On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning. CoRR David Jacob Kedziora, Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys
2022	J	`jnl`	The Roles and Modes of Human Interactions with Automated Machine Learning Systems. CoRR Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
2022	J	`jnl`	The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry. CoRR Alexander Scriven, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
2022	J	`jnl`	Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. IEEE Access Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2022	J	`jnl`	Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. CoRR Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
2022	J	`jnl`	hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms. CoRR Thanh Tung Khuat, Bogdan Gabrys
2021	J	`jnl`	Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule. Inf. Sci. Thanh Tung Khuat, Bogdan Gabrys
2021	J	`jnl`	An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network. IEEE Trans. Fuzzy Syst. Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
2021	J	`jnl`	An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. Neurocomputing Thanh Tung Khuat, Bogdan Gabrys
2021	—	`conf`	Analysing Ego-Networks via Typed-Edge Graphlets: A Case Study of Chronic Pain Patients. COMPLEX NETWORKS Mingshan Jia, Maité Van Alboom, Liesbet Goubert, Piet Bracke, Bogdan Gabrys, Katarzyna Musial
2021	J	`jnl`	Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems. CoRR Patryk Grelewicz, Thanh Tung Khuat, Jacek Czeczot, Tomasz Klopot, Bogdan Gabrys
2021	J	`jnl`	AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation. Expert Syst. Appl. Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys
2021	J	`jnl`	Automated Deep Learning: Neural Architecture Search Is Not the End. CoRR Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
2021	J	`jnl`	Automated adaptation strategies for stream learning. Mach. Learn. Rashid Bakirov, Damien Fay, Bogdan Gabrys
2021	B	`conf`	Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. IJCNN Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
2021	J	`jnl`	Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. CoRR Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
2021	J	`jnl`	Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey. IEEE Access Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
2021	J	`jnl`	Hyperbox-based machine learning algorithms: a comprehensive survey. Soft Comput. Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys
2020	J	`jnl`	A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems. CoRR Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
2020	J	`jnl`	A comparative study of general fuzzy min-max neural networks for pattern classification problems. Neurocomputing Thanh Tung Khuat, Bogdan Gabrys
2020	B	`conf`	AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. IDA Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
2020	J	`jnl`	AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. CoRR Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
2020	J	`jnl`	Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule. CoRR Thanh Tung Khuat, Bogdan Gabrys
2020	B	`conf`	An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. IJCNN Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
2020	J	`jnl`	An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data. CoRR Thanh Tung Khuat, Bogdan Gabrys
2020	J	`jnl`	An improved online learning algorithm for general fuzzy min-max neural network. CoRR Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
2020	J	`jnl`	An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. CoRR Thanh Tung Khuat, Bogdan Gabrys
2020	J	`jnl`	AutoHAS: Differentiable Hyper-parameter and Architecture Search. CoRR Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le
2020	J	`jnl`	AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation. CoRR Tien-Dung Nguyen, Bogdan Gabrys, Katarzyna Musial
2020	J	`jnl`	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. CoRR David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
2020	—	`conf`	Closure Coefficient in Complex Directed Networks. COMPLEX NETWORKS (1) Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
2020	J	`jnl`	Forty years of computers & chemical engineering: A bibliometric analysis. Comput. Chem. Eng. Nikunja Mohan Modak, Valeria Lobos-Ossandón, José M. Merigó, Bogdan Gabrys, Jay H. Lee
2020	J	`jnl`	Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey. CoRR Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
2020	J	`jnl`	Measuring Quadrangle Formation in Complex Networks. CoRR Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
2020	A*	`conf`	Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
2020	J	`jnl`	Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. CoRR Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
2020	J	`jnl`	NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size. CoRR Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys
2020	J	`jnl`	Random Hyperboxes. CoRR Thanh Tung Khuat, Bogdan Gabrys
2020	J	`jnl`	Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification. CoRR Neil Vaughan, Bogdan Gabrys
2020	J	`jnl`	Scoring and assessment in medical VR training simulators with dynamic time series classification. Eng. Appl. Artif. Intell. Neil Vaughan, Bogdan Gabrys
2019	—	`conf`	A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously. PRICAI (2) Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
2019	J	`jnl`	A comparative study of general fuzzy min-max neural networks for pattern classification problems. CoRR Thanh Tung Khuat, Bogdan Gabrys
2019	—	`conf`	Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data. ICONIP (1) Thanh Tung Khuat, Bogdan Gabrys
2019	J	`jnl`	An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network. CoRR Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
2019	—	`conf`	Automated Machine Learning Techniques in Prognostics of Railway Track Defects. ICDM Workshops Simon Kocbek, Bogdan Gabrys
2019	J	`jnl`	Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA. IEEE Trans Autom. Sci. Eng. Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2019	J	`jnl`	Hyperbox based machine learning algorithms: A comprehensive survey. CoRR Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys
2019	—	`conf`	Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation. PRICAI (2) Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
2019	—	`conf`	Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients. ICONIP (4) Simon Kocbek, Primoz Kocbek, Tina Zupanic, Gregor Stiglic, Bogdan Gabrys
2018	J	`jnl`	Adaptive community detection incorporating topology and content in social networks Knowl. Based Syst. Meng Qin, Di Jin, Kai Lei, Bogdan Gabrys, Katarzyna Musial-Gabrys
2018	J	`jnl`	Change point detection in social networks - Critical review with experiments. Comput. Sci. Rev. Lucy Kendrick, Katarzyna Musial, Bogdan Gabrys
2018	B	`conf`	Cross-domain Meta-learning for Time-series Forecasting. KES Abbas Raza Ali, Bogdan Gabrys, Marcin Budka
2018	J	`jnl`	Generic adaptation strategies for automated machine learning. CoRR Rashid Bakirov, Bogdan Gabrys, Damien Fay
2018	—	`conf`	Robust Detection of Communities with Multi-semantics in Large Attributed Networks. KSEM (1) Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
2017	B	`conf`	A Community Bridge Boosting Social Network Link Prediction Model. ASONAM Fei Gao, Katarzyna Musial, Bogdan Gabrys
2017	J	`jnl`	A hybrid model for business process event and outcome prediction. Expert Syst. J. Knowl. Eng. Mai Le, Bogdan Gabrys, Detlef D. Nauck
2017	B	`conf`	Adaptive Community Detection Incorporating Topology and Content in Social Networks. ASONAM Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
2017	C	`conf`	Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach. ADMA Bassma Al-Jubouri, Bogdan Gabrys
2017	J	`jnl`	Multiple adaptive mechanisms for data-driven soft sensors. Comput. Chem. Eng. Rashid Bakirov, Bogdan Gabrys, Damien Fay
2016	—	`conf`	Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. AutoML@ICML Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2016	J	`jnl`	An overview of self-adaptive technologies within virtual reality training. Comput. Sci. Rev. Neil Vaughan, Bogdan Gabrys, Venketesh N. Dubey
2016	B	`conf`	Augmenting adaptation with retrospective model correction for non-stationary regression problems. IJCNN Rashid Bakirov, Bogdan Gabrys, Damien Fay
2016	J	`jnl`	Automatic composition and optimisation of multicomponent predictive systems. CoRR Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2016	J	`jnl`	Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach. Knowl. Based Syst. Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys
2016	B	`conf`	Comparing and Combining Time Series Trajectories Using Dynamic Time Warping. KES Neil Vaughan, Bogdan Gabrys
2016	B	`conf`	Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems. KES Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2016	B	`conf`	Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. CEC Hongmei He, Ashutosh Tiwari, Jörn Mehnen, Tim Watson, Carsten Maple, Yaochu Jin, Bogdan Gabrys
2016	B	`ed.`	Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, York, UK, 5-7 September 2016. KES Robert J. Howlett, Lakhmi C. Jain, Bogdan Gabrys, Carlos Toro, Chee Peng Lim
2016	B	`conf`	Local Learning for Multi-layer, Multi-component Predictive System. KES Bassma Al-Jubouri, Bogdan Gabrys
2016	B	`conf`	The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. CEC Hongmei He, Carsten Maple, Tim Watson, Ashutosh Tiwari, Jörn Mehnen, Yaochu Jin, Bogdan Gabrys
2016	Misc	`conf`	Towards Automatic Composition of Multicomponent Predictive Systems. HAIS Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2015	J	`jnl`	Metalearning: a survey of trends and technologies. Artif. Intell. Rev. Christiane Lemke, Marcin Budka, Bogdan Gabrys
2015	B	`conf`	On sequences of different adaptive mechanisms in non-stationary regression problems. IJCNN Rashid Bakirov, Bogdan Gabrys, Damien Fay
2015	—	`book`	Propagation Phenomena in Real World Networks Propagation Phenomena in Real World Networks Dariusz Król, Damien Fay, Bogdan Gabrys
2014	J	`jnl`	Adaptive Preprocessing for Streaming Data. IEEE Trans. Knowl. Data Eng. Indre Zliobaite, Bogdan Gabrys
2014	J	`jnl`	Customer profile classification: To adapt classifiers or to relabel customer profiles? Neurocomputing Edward Tersoo Apeh, Bogdan Gabrys, Amanda C. Schierz
2014	B	`conf`	From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors. IDA Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan, Athanasios Tsakonas, Indre Zliobaite
2014	—	`conf`	Linearizing Controller for Higher-degree Nonlinear Processes with Compensation for Modeling Inaccuracies - Practical Validation and Future Developments. ICINCO (1) Pawel Nowak, Jacek Czeczot, Tomasz Klopot, Mateusz Szymura, Bogdan Gabrys
2014	—	`conf`	Multicriteria approaches for predictive model generation: A comparative experimental study. MCDM Bassma Al-Jubouri, Bogdan Gabrys
2014	B	`conf`	Online Detection of Shutdown Periods in Chemical Plants: A Case Study. KES Manuel Martin Salvador, Bogdan Gabrys, Indre Zliobaite
2014	—	`conf`	Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction. IPMU (1) Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin
2013	J	`jnl`	A fuzzy evolutionary framework for combining ensembles. Appl. Soft Comput. Athanasios Tsakonas, Bogdan Gabrys
2013	J	`jnl`	An overview of interactive visual data mining techniques for knowledge discovery. WIREs Data Mining Knowl. Discov. Frederic T. Stahl, Bogdan Gabrys, Mohamed Medhat Gaber, Monika Berendsen
2013	J	`jnl`	Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation. IEEE Trans. Neural Networks Learn. Syst. Marcin Budka, Bogdan Gabrys
2013	J	`jnl`	Detecting and Visualizing the Change in Classification of Customer Profiles based on Transactional Data. Evol. Syst. Edward Tersoo Apeh, Bogdan Gabrys
2013	J	`jnl`	Erratum to: Architecture for development of adaptive on-line prediction models. Memetic Comput. Petr Kadlec, Bogdan Gabrys
2013	Misc	`conf`	Investigation of Expert Addition Criteria for Dynamically Changing Online Ensemble Classifiers with Multiple Adaptive Mechanisms. AIAI Rashid Bakirov, Bogdan Gabrys
2013	—	`conf`	KNNs and Sequence Alignment for Churn Prediction. SGAI Conf. Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin
2013	—	`conf`	Robust Adaptive Predictive Modeling and Data Deluge (Extended Abstract). ICMMI Bogdan Gabrys
2013	—	`conf`	Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning. SIMPDA Mai Le, Detlef D. Nauck, Bogdan Gabrys
2013	B	`conf`	What kind of network are you?: using local and global characteristics in network categorisation tasks. ASONAM Katarzyna Musial, Bogdan Gabrys, Marcin Buczko
2012	—	`conf`	A Hybrid Model for Business Process Event Prediction. SGAI Conf. Mai Le, Bogdan Gabrys, Detlef D. Nauck
2012	—	`conf`	Application of Base Learners as Conditional Input for Fuzzy Rule-Based Combined System. IJCCI (Selected Papers) Athanasios Tsakonas, Bogdan Gabrys
2012	J	`jnl`	Decision support system for water distribution systems based on neural networks and graphs theory for leakage detection. Expert Syst. Appl. Corneliu T. C. Arsene, Bogdan Gabrys, David Al-Dabass
2012	C	`conf`	Fuzzy Base Predictor Outputs as Conditional Selectors for Evolved Combined Prediction System. IJCCI Athanasios Tsakonas, Bogdan Gabrys
2012	J	`jnl`	GRADIENT: Grammar-driven genetic programming framework for building multi-component, hierarchical predictive systems. Expert Syst. Appl. Athanasios Tsakonas, Bogdan Gabrys
2012	J	`jnl`	Generalised bottom-up pruning: A model level combination of decision trees. Expert Syst. Appl. Mark Eastwood, Bogdan Gabrys
2012	J	`jnl`	Next challenges for adaptive learning systems. SIGKDD Explor. Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro L. Minku, Katarzyna Musial
2012	—	`conf`	Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales. SGAI Conf. Edward Tersoo Apeh, Indre Zliobaite, Mykola Pechenizkiy, Bogdan Gabrys
2011	J	`jnl`	A Generic Multilevel Architecture for Time Series Prediction. IEEE Trans. Knowl. Data Eng. Dymitr Ruta, Bogdan Gabrys, Christiane Lemke
2011	—	`conf`	Change Mining of Customer Profiles Based on Transactional Data. ICDM Workshops Edward Tersoo Apeh, Bogdan Gabrys
2011	—	`conf`	Customer profile classification using transactional data. NaBIC Edward Tersoo Apeh, Bogdan Gabrys, Amanda C. Schierz
2011	J	`jnl`	Electrostatic field framework for supervised and semi-supervised learning from incomplete data. Nat. Comput. Marcin Budka, Bogdan Gabrys
2011	—	`conf`	Evolving Takagi-Sugeno-Kang Fuzzy Systems using Multi Population Grammar-Guided Genetic Programming. IJCCI (ECTA-FCTA) Athanasios Tsakonas, Bogdan Gabrys
2011	—	`conf`	Model level combination of tree ensemble hyperboxes via GFMM. FSKD Mark Eastwood, Bogdan Gabrys
2011	J	`jnl`	On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling. Entropy Marcin Budka, Bogdan Gabrys, Katarzyna Musial
2011	J	`jnl`	Review of adaptation mechanisms for data-driven soft sensors. Comput. Chem. Eng. Petr Kadlec, Ratko Grbic, Bogdan Gabrys
2010	B	`conf`	Adaptive on-line prediction soft sensing without historical data. IJCNN Petr Kadlec, Bogdan Gabrys
2010	B	`conf`	Correntropy-based density-preserving data sampling as an alternative to standard cross-validation. IJCNN Marcin Budka, Bogdan Gabrys
2010	J	`jnl`	Meta-learning for time series forecasting and forecast combination. Neurocomputing Christiane Lemke, Bogdan Gabrys
2010	B	`conf`	Meta-learning for time series forecasting in the NN GC1 competition. FUZZ-IEEE Christiane Lemke, Bogdan Gabrys
2010	Misc	`conf`	Ridge regression ensemble for toxicity prediction. ICCS Marcin Budka, Bogdan Gabrys
2009	—	`conf`	A Non-sequential Representation of Sequential Data for Churn Prediction. KES (1) Mark Eastwood, Bogdan Gabrys
2009	J	`jnl`	A framework for machine learning based on dynamic physical fields. Nat. Comput. Dymitr Ruta, Bogdan Gabrys
2009	J	`jnl`	Architecture for development of adaptive on-line prediction models. Memetic Comput. Petr Kadlec, Bogdan Gabrys
2009	J	`jnl`	Data-driven Soft Sensors in the process industry. Comput. Chem. Eng. Petr Kadlec, Bogdan Gabrys, Sibylle Strandt
2009	—	`conf`	Dynamic combination of forecasts generated by diversification procedures applied to forecasting of airline cancellations. CIFEr Christiane Lemke, Silvia Riedel, Bogdan Gabrys
2009	—	`ch.`	Electrostatic Field Classifier for Deficient Data. Computer Recognition Systems 3 Marcin Budka, Bogdan Gabrys
2009	Misc	`conf`	Learning with Missing or Incomplete Data. ICIAP Bogdan Gabrys
2009	J	`jnl`	Nature-inspired learning and adaptive systems. Nat. Comput. Bogdan Gabrys, Davide Anguita
2009	J	`jnl`	Pooling for Combination of Multilevel Forecasts. IEEE Trans. Knowl. Data Eng. Silvia Riedel, Bogdan Gabrys
2009	—	`conf`	Soft sensors: Where are we and what are the current and future challenges? ICONS Petr Kadlec, Bogdan Gabrys
2009	J	`jnl`	Temporal Changes in Local Topology of an Email-Based Social Network. Comput. Informatics Krzysztof Juszczyszyn, Katarzyna Musial, Przemyslaw Kazienko, Bogdan Gabrys
2008	—	`conf`	Adaptive Local Learning Soft Sensor for Inferential Control Support. CIMCA/IAWTIC/ISE Petr Kadlec, Bogdan Gabrys
2008	Misc	`conf`	Do Smart Adaptive Systems Exist? Hybrid Intelligent Systems Perspective. HAIS Bogdan Gabrys
2008	B	`conf`	Do we need experts for time series forecasting?. ESANN Christiane Lemke, Bogdan Gabrys
2008	—	`ch.`	Gating Artificial Neural Network Based Soft Sensor. New Challenges in Applied Intelligence Technologies Petr Kadlec, Bogdan Gabrys
2008	B	`conf`	Learnt Topology Gating Artificial Neural Networks. IJCNN Petr Kadlec, Bogdan Gabrys
2008	—	`conf`	Patterns of Interactions in Complex Social Networks Based on Coloured Motifs Analysis. ICONIP (2) Katarzyna Musial, Krzysztof Juszczyszyn, Bogdan Gabrys, Przemyslaw Kazienko
2008	—	`conf`	Soft Sensor Based on Adaptive Local Learning. ICONIP (1) Petr Kadlec, Bogdan Gabrys
2008	—	`conf`	Temporal Changes in Connection Patterns of an Email-Based Social Network. Web Intelligence/IAT Workshops Krzysztof Juszczyszyn, Przemyslaw Kazienko, Katarzyna Musial, Bogdan Gabrys
2007	—	`conf`	Adaptive Mechanisms for Classification Problems with Drifting Data. KES (2) Zoheir Sahel, Abdelhamid Bouchachia, Bogdan Gabrys, Paul Rogers
2007	J	`jnl`	Combination of Multi Level Forecasts. J. VLSI Signal Process. Silvia Riedel, Bogdan Gabrys
2007	B	`conf`	Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning. IJCNN Silvia Riedel, Bogdan Gabrys
2007	B	`conf`	Neural Network Ensembles for Time Series Prediction. IJCNN Dymitr Ruta, Bogdan Gabrys
2007	B	`conf`	Overview of Some Incremental Learning Algorithms. FUZZ-IEEE Abdelhamid Bouchachia, Bogdan Gabrys, Zoheir Sahel
2007	Misc	`conf`	Particle Swarm Optimisation of Multiple Classifier Systems. IWANN Martin Macas, Bogdan Gabrys, Dymitr Ruta, Lenka Lhotská
2007	J	`jnl`	Special issue: Extended papers selected from KES-2006. Int. J. Knowl. Based Intell. Eng. Syst. Honghai Liu, Robert J. Howlett, Bogdan Gabrys
2007	J	`jnl`	The Dynamics of Negative Correlation Learning. J. VLSI Signal Process. Mark Eastwood, Bogdan Gabrys
2006	—	`conf`	Clustering for Data Matching. KES (1) Edward Tersoo Apeh, Bogdan Gabrys
2006	J	`jnl`	Genetic algorithms in classifier fusion. Appl. Soft Comput. Bogdan Gabrys, Dymitr Ruta
2006	—	`ed.`	Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part I KES (1) Bogdan Gabrys, Robert J. Howlett, Lakhmi C. Jain
2006	—	`ed.`	Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part II KES (2) Bogdan Gabrys, Robert J. Howlett, Lakhmi C. Jain
2006	—	`ed.`	Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part III KES (3) Bogdan Gabrys, Robert J. Howlett, Lakhmi C. Jain
2006	C	`conf`	Maximum Likelihood Topology Preserving Ensembles. IDEAL Emilio Corchado, Bruno Baruque, Bogdan Gabrys
2006	—	`conf`	Outlier Resistant PCA Ensembles. KES (3) Bogdan Gabrys, Bruno Baruque, Emilio Corchado
2005	J	`jnl`	Classifier selection for majority voting. Inf. Fusion Dymitr Ruta, Bogdan Gabrys
2004	J	`jnl`	Combining labelled and unlabelled data in the design of pattern classification systems. Int. J. Approx. Reason. Bogdan Gabrys, Lina Petrakieva
2004	—	`conf`	Hierarchical Multilevel Approaches of Forecast Combination. OR Silvia Riedel, Bogdan Gabrys
2004	J	`jnl`	Learning hybrid neuro-fuzzy classifier models from data: to combine or not to combine? Fuzzy Sets Syst. Bogdan Gabrys
2004	J	`jnl`	Special issue on integration of methods and hybrid systems. Int. J. Approx. Reason. Bogdan Gabrys
2003	J	`jnl`	Physical field models for pattern classification. Soft Comput. Dymitr Ruta, Bogdan Gabrys
2002	J	`jnl`	A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems. Pattern Anal. Appl. Dymitr Ruta, Bogdan Gabrys
2002	J	`jnl`	Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network. J. VLSI Signal Process. Bogdan Gabrys
2002	J	`jnl`	Guest editorial introduction. Knowl. Based Syst. Colin Fyfe, Bogdan Gabrys
2002	J	`jnl`	Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems. Int. J. Approx. Reason. Bogdan Gabrys
2002	—	`conf`	New Measure of Classifier Dependency in Multiple Classifier Systems. Multiple Classifier Systems Dymitr Ruta, Bogdan Gabrys
2002	—	`conf`	Static Field Approach for Pattern Classification. Soft-Ware Dymitr Ruta, Bogdan Gabrys
2001	—	`conf`	Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting. Multiple Classifier Systems Dymitr Ruta, Bogdan Gabrys
2000	J	`jnl`	General fuzzy min-max neural network for clustering and classification. IEEE Trans. Neural Networks Learn. Syst. Bogdan Gabrys, Andrzej Bargiela
2000	B	`conf`	Pattern classification for incomplete data. KES Bogdan Gabrys