Pattern classification for incomplete data. - Bogdan Gabrys (KES, 2000)

General fuzzy min-max neural network for clustering and classification. - Bogdan Gabrys; Andrzej Bargiela (IEEE Trans. Neural Networks Learn. Syst., 2000)

Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting. - Dymitr Ruta; Bogdan Gabrys (Multiple Classifier Systems, 2001)

New Measure of Classifier Dependency in Multiple Classifier Systems. - Dymitr Ruta; Bogdan Gabrys (Multiple Classifier Systems, 2002)

Static Field Approach for Pattern Classification. - Dymitr Ruta; Bogdan Gabrys (Soft-Ware, 2002)

Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems. - Bogdan Gabrys (Int. J. Approx. Reason., 2002)

Guest editorial introduction. - Colin Fyfe; Bogdan Gabrys (Knowl. Based Syst., 2002)

A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems. - Dymitr Ruta; Bogdan Gabrys (Pattern Anal. Appl., 2002)

Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network. - Bogdan Gabrys (J. VLSI Signal Process., 2002)

Physical field models for pattern classification. - Dymitr Ruta; Bogdan Gabrys (Soft Comput., 2003)

Hierarchical Multilevel Approaches of Forecast Combination. - Silvia Riedel; Bogdan Gabrys (OR, 2004)

Learning hybrid neuro-fuzzy classifier models from data: to combine or not to combine? - Bogdan Gabrys (Fuzzy Sets Syst., 2004)

Special issue on integration of methods and hybrid systems. - Bogdan Gabrys (Int. J. Approx. Reason., 2004)

Combining labelled and unlabelled data in the design of pattern classification systems. - Bogdan Gabrys; Lina Petrakieva (Int. J. Approx. Reason., 2004)

Classifier selection for majority voting. - Dymitr Ruta; Bogdan Gabrys (Inf. Fusion, 2005)

Maximum Likelihood Topology Preserving Ensembles. - Emilio Corchado; Bruno Baruque; Bogdan Gabrys (IDEAL, 2006)

Clustering for Data Matching. - Edward Tersoo Apeh; Bogdan Gabrys (KES (1), 2006)

Outlier Resistant PCA Ensembles. - Bogdan Gabrys; Bruno Baruque; Emilio Corchado (KES (3), 2006)

Genetic algorithms in classifier fusion. - Bogdan Gabrys; Dymitr Ruta (Appl. Soft Comput., 2006)

Overview of Some Incremental Learning Algorithms. - Abdelhamid Bouchachia; Bogdan Gabrys; Zoheir Sahel (FUZZ-IEEE, 2007)

Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning. - Silvia Riedel; Bogdan Gabrys (IJCNN, 2007)

Neural Network Ensembles for Time Series Prediction. - Dymitr Ruta; Bogdan Gabrys (IJCNN, 2007)

Particle Swarm Optimisation of Multiple Classifier Systems. - Martin Macas; Bogdan Gabrys; Dymitr Ruta; Lenka Lhotská (IWANN, 2007)

Adaptive Mechanisms for Classification Problems with Drifting Data. - Zoheir Sahel; Abdelhamid Bouchachia; Bogdan Gabrys; Paul Rogers (KES (2), 2007)

Special issue: Extended papers selected from KES-2006. - Honghai Liu 001; Robert J. Howlett; Bogdan Gabrys (Int. J. Knowl. Based Intell. Eng. Syst., 2007)

The Dynamics of Negative Correlation Learning. - Mark Eastwood; Bogdan Gabrys (J. VLSI Signal Process., 2007)

Combination of Multi Level Forecasts. - Silvia Riedel; Bogdan Gabrys (J. VLSI Signal Process., 2007)

Adaptive Local Learning Soft Sensor for Inferential Control Support. - Petr Kadlec 002; Bogdan Gabrys (CIMCA/IAWTIC/ISE, 2008)

Do we need experts for time series forecasting?. - Christiane Lemke; Bogdan Gabrys (ESANN, 2008)

Do Smart Adaptive Systems Exist? Hybrid Intelligent Systems Perspective. - Bogdan Gabrys (HAIS, 2008)

Temporal Changes in Connection Patterns of an Email-Based Social Network. - Krzysztof Juszczyszyn; Przemyslaw Kazienko; Katarzyna Musial; Bogdan Gabrys (Web Intelligence/IAT Workshops, 2008)

Soft Sensor Based on Adaptive Local Learning. - Petr Kadlec 002; Bogdan Gabrys (ICONIP (1), 2008)

Patterns of Interactions in Complex Social Networks Based on Coloured Motifs Analysis. - Katarzyna Musial; Krzysztof Juszczyszyn; Bogdan Gabrys; Przemyslaw Kazienko (ICONIP (2), 2008)

Learnt Topology Gating Artificial Neural Networks. - Petr Kadlec 002; Bogdan Gabrys (IJCNN, 2008)

Gating Artificial Neural Network Based Soft Sensor. - Petr Kadlec 002; Bogdan Gabrys (New Challenges in Applied Intelligence Technologies, 2008)

Dynamic combination of forecasts generated by diversification procedures applied to forecasting of airline cancellations. - Christiane Lemke; Silvia Riedel; Bogdan Gabrys (CIFEr, 2009)

Learning with Missing or Incomplete Data. - Bogdan Gabrys (ICIAP, 2009)

Soft sensors: Where are we and what are the current and future challenges? - Petr Kadlec 002; Bogdan Gabrys (ICONS, 2009)

A Non-sequential Representation of Sequential Data for Churn Prediction. - Mark Eastwood; Bogdan Gabrys (KES (1), 2009)

Temporal Changes in Local Topology of an Email-Based Social Network. - Krzysztof Juszczyszyn; Katarzyna Musial; Przemyslaw Kazienko; Bogdan Gabrys (Comput. Informatics, 2009)

Data-driven Soft Sensors in the process industry. - Petr Kadlec 002; Bogdan Gabrys; Sibylle Strandt (Comput. Chem. Eng., 2009)

Architecture for development of adaptive on-line prediction models. - Petr Kadlec 002; Bogdan Gabrys (Memetic Comput., 2009)

Nature-inspired learning and adaptive systems. - Bogdan Gabrys; Davide Anguita (Nat. Comput., 2009)

A framework for machine learning based on dynamic physical fields. - Dymitr Ruta; Bogdan Gabrys (Nat. Comput., 2009)

Pooling for Combination of Multilevel Forecasts. - Silvia Riedel; Bogdan Gabrys (IEEE Trans. Knowl. Data Eng., 2009)

Electrostatic Field Classifier for Deficient Data. - Marcin Budka; Bogdan Gabrys (Computer Recognition Systems 3, 2009)

Meta-learning for time series forecasting in the NN GC1 competition. - Christiane Lemke; Bogdan Gabrys (FUZZ-IEEE, 2010)

Correntropy-based density-preserving data sampling as an alternative to standard cross-validation. - Marcin Budka; Bogdan Gabrys (IJCNN, 2010)

Adaptive on-line prediction soft sensing without historical data. - Petr Kadlec 002; Bogdan Gabrys (IJCNN, 2010)

Meta-learning for time series forecasting and forecast combination. - Christiane Lemke; Bogdan Gabrys (Neurocomputing, 2010)

Ridge regression ensemble for toxicity prediction. - Marcin Budka; Bogdan Gabrys (ICCS, 2010)

Model level combination of tree ensemble hyperboxes via GFMM. - Mark Eastwood; Bogdan Gabrys (FSKD, 2011)

Change Mining of Customer Profiles Based on Transactional Data. - Edward Tersoo Apeh; Bogdan Gabrys (ICDM Workshops, 2011)

Evolving Takagi-Sugeno-Kang Fuzzy Systems using Multi Population Grammar-Guided Genetic Programming. - Athanasios Tsakonas; Bogdan Gabrys (IJCCI (ECTA-FCTA), 2011)

Customer profile classification using transactional data. - Edward Tersoo Apeh; Bogdan Gabrys; Amanda C. Schierz (NaBIC, 2011)

Review of adaptation mechanisms for data-driven soft sensors. - Petr Kadlec 002; Ratko Grbic; Bogdan Gabrys (Comput. Chem. Eng., 2011)

On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling. - Marcin Budka; Bogdan Gabrys; Katarzyna Musial (Entropy, 2011)

Electrostatic field framework for supervised and semi-supervised learning from incomplete data. - Marcin Budka; Bogdan Gabrys (Nat. Comput., 2011)

A Generic Multilevel Architecture for Time Series Prediction. - Dymitr Ruta; Bogdan Gabrys; Christiane Lemke (IEEE Trans. Knowl. Data Eng., 2011)

Fuzzy Base Predictor Outputs as Conditional Selectors for Evolved Combined Prediction System. - Athanasios Tsakonas; Bogdan Gabrys (IJCCI, 2012)

Application of Base Learners as Conditional Input for Fuzzy Rule-Based Combined System. - Athanasios Tsakonas; Bogdan Gabrys (IJCCI (Selected Papers), 2012)

Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales. - Edward Tersoo Apeh; Indre Zliobaite; Mykola Pechenizkiy; Bogdan Gabrys (SGAI Conf., 2012)

A Hybrid Model for Business Process Event Prediction. - Mai Le; Bogdan Gabrys; Detlef D. Nauck (SGAI Conf., 2012)

Decision support system for water distribution systems based on neural networks and graphs theory for leakage detection. - Corneliu T. C. Arsene; Bogdan Gabrys; David Al-Dabass (Expert Syst. Appl., 2012)

Generalised bottom-up pruning: A model level combination of decision trees. - Mark Eastwood; Bogdan Gabrys (Expert Syst. Appl., 2012)

GRADIENT: Grammar-driven genetic programming framework for building multi-component, hierarchical predictive systems. - Athanasios Tsakonas; Bogdan Gabrys (Expert Syst. Appl., 2012)

Next challenges for adaptive learning systems. - Indre Zliobaite; Albert Bifet; Mohamed Medhat Gaber; Bogdan Gabrys; João Gama 001; Leandro L. Minku; Katarzyna Musial (SIGKDD Explor., 2012)

What kind of network are you?: using local and global characteristics in network categorisation tasks. - Katarzyna Musial; Bogdan Gabrys; Marcin Buczko (ASONAM, 2013)

Robust Adaptive Predictive Modeling and Data Deluge (Extended Abstract). - Bogdan Gabrys (ICMMI, 2013)

Investigation of Expert Addition Criteria for Dynamically Changing Online Ensemble Classifiers with Multiple Adaptive Mechanisms. - Rashid Bakirov; Bogdan Gabrys (AIAI, 2013)

KNNs and Sequence Alignment for Churn Prediction. - Mai Le; Detlef D. Nauck; Bogdan Gabrys; Trevor Martin (SGAI Conf., 2013)

Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning. - Mai Le; Detlef D. Nauck; Bogdan Gabrys (SIMPDA, 2013)

A fuzzy evolutionary framework for combining ensembles. - Athanasios Tsakonas; Bogdan Gabrys (Appl. Soft Comput., 2013)

Detecting and Visualizing the Change in Classification of Customer Profiles based on Transactional Data. - Edward Tersoo Apeh; Bogdan Gabrys (Evol. Syst., 2013)

Erratum to: Architecture for development of adaptive on-line prediction models. - Petr Kadlec 002; Bogdan Gabrys (Memetic Comput., 2013)

Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation. - Marcin Budka; Bogdan Gabrys (IEEE Trans. Neural Networks Learn. Syst., 2013)

An overview of interactive visual data mining techniques for knowledge discovery. - Frederic T. Stahl; Bogdan Gabrys; Mohamed Medhat Gaber; Monika Berendsen (WIREs Data Mining Knowl. Discov., 2013)

Multicriteria approaches for predictive model generation: A comparative experimental study. - Bassma Al-Jubouri; Bogdan Gabrys (MCDM, 2014)

Linearizing Controller for Higher-degree Nonlinear Processes with Compensation for Modeling Inaccuracies - Practical Validation and Future Developments. - Pawel Nowak; Jacek Czeczot; Tomasz Klopot; Mateusz Szymura; Bogdan Gabrys (ICINCO (1), 2014)

From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors. - Marcin Budka; Mark Eastwood; Bogdan Gabrys; Petr Kadlec 002; Manuel Martin Salvador; Stephanie Schwan; Athanasios Tsakonas; Indre Zliobaite (IDA, 2014)

Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction. - Mai Le; Detlef D. Nauck; Bogdan Gabrys; Trevor Martin (IPMU (1), 2014)

Online Detection of Shutdown Periods in Chemical Plants: A Case Study. - Manuel Martin Salvador; Bogdan Gabrys; Indre Zliobaite (KES, 2014)

Customer profile classification: To adapt classifiers or to relabel customer profiles? - Edward Tersoo Apeh; Bogdan Gabrys; Amanda C. Schierz (Neurocomputing, 2014)

Adaptive Preprocessing for Streaming Data. - Indre Zliobaite; Bogdan Gabrys (IEEE Trans. Knowl. Data Eng., 2014)

On sequences of different adaptive mechanisms in non-stationary regression problems. - Rashid Bakirov; Bogdan Gabrys; Damien Fay (IJCNN, 2015)

Metalearning: a survey of trends and technologies. - Christiane Lemke; Marcin Budka; Bogdan Gabrys (Artif. Intell. Rev., 2015)

The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. - Hongmei He; Carsten Maple; Tim Watson; Ashutosh Tiwari 001; Jörn Mehnen; Yaochu Jin; Bogdan Gabrys (CEC, 2016)

Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. - Hongmei He; Ashutosh Tiwari 001; Jörn Mehnen; Tim Watson; Carsten Maple; Yaochu Jin; Bogdan Gabrys (CEC, 2016)

Towards Automatic Composition of Multicomponent Predictive Systems. - Manuel Martin Salvador; Marcin Budka; Bogdan Gabrys (HAIS, 2016)

Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. - Manuel Martin Salvador; Marcin Budka; Bogdan Gabrys (AutoML@ICML, 2016)

Augmenting adaptation with retrospective model correction for non-stationary regression problems. - Rashid Bakirov; Bogdan Gabrys; Damien Fay (IJCNN, 2016)

Local Learning for Multi-layer, Multi-component Predictive System. - Bassma Al-Jubouri; Bogdan Gabrys (KES, 2016)

Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems. - Manuel Martin Salvador; Marcin Budka; Bogdan Gabrys (KES, 2016)

Comparing and Combining Time Series Trajectories Using Dynamic Time Warping. - Neil Vaughan; Bogdan Gabrys (KES, 2016)

Automatic composition and optimisation of multicomponent predictive systems. - Manuel Martin Salvador; Marcin Budka; Bogdan Gabrys (CoRR, 2016)

An overview of self-adaptive technologies within virtual reality training. - Neil Vaughan; Bogdan Gabrys; Venketesh N. Dubey (Comput. Sci. Rev., 2016)

Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach. - Wenjun Wang 002; Pengfei Jiao; Dongxiao He; Di Jin 001; Lin Pan 002; Bogdan Gabrys (Knowl. Based Syst., 2016)

Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach. - Bassma Al-Jubouri; Bogdan Gabrys (ADMA, 2017)

A Community Bridge Boosting Social Network Link Prediction Model. - Fei Gao 009; Katarzyna Musial; Bogdan Gabrys (ASONAM, 2017)

Adaptive Community Detection Incorporating Topology and Content in Social Networks. - Meng Qin 002; Di Jin 001; Dongxiao He; Bogdan Gabrys; Katarzyna Musial (ASONAM, 2017)

Multiple adaptive mechanisms for data-driven soft sensors. - Rashid Bakirov; Bogdan Gabrys; Damien Fay (Comput. Chem. Eng., 2017)

A hybrid model for business process event and outcome prediction. - Mai Le; Bogdan Gabrys; Detlef D. Nauck (Expert Syst. J. Knowl. Eng., 2017)

Cross-domain Meta-learning for Time-series Forecasting. - Abbas Raza Ali; Bogdan Gabrys; Marcin Budka (KES, 2018)

Robust Detection of Communities with Multi-semantics in Large Attributed Networks. - Di Jin 001; Ziyang Liu 004; Dongxiao He; Bogdan Gabrys; Katarzyna Musial (KSEM (1), 2018)

Generic adaptation strategies for automated machine learning. - Rashid Bakirov; Bogdan Gabrys; Damien Fay (CoRR, 2018)

Change point detection in social networks - Critical review with experiments. - Lucy Kendrick; Katarzyna Musial; Bogdan Gabrys (Comput. Sci. Rev., 2018)

Adaptive community detection incorporating topology and content in social networks✰. - Meng Qin 002; Di Jin 001; Kai Lei; Bogdan Gabrys; Katarzyna Musial-Gabrys (Knowl. Based Syst., 2018)

Automated Machine Learning Techniques in Prognostics of Railway Track Defects. - Simon Kocbek; Bogdan Gabrys (ICDM Workshops, 2019)

Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data. - Thanh Tung Khuat; Bogdan Gabrys (ICONIP (1), 2019)

Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients. - Simon Kocbek; Primoz Kocbek; Tina Zupanic; Gregor Stiglic; Bogdan Gabrys (ICONIP (4), 2019)

Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation. - Abbas Raza Ali; Marcin Budka; Bogdan Gabrys (PRICAI (2), 2019)

A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously. - Abbas Raza Ali; Marcin Budka; Bogdan Gabrys (PRICAI (2), 2019)

An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network. - Thanh Tung Khuat; Fang Chen 001; Bogdan Gabrys (CoRR, 2019)

Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA. - Manuel Martin Salvador; Marcin Budka; Bogdan Gabrys (IEEE Trans Autom. Sci. Eng., 2019)

Closure Coefficient in Complex Directed Networks. - Mingshan Jia; Bogdan Gabrys; Katarzyna Musial (COMPLEX NETWORKS (1), 2020)

AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. - Tien-Dung Nguyen 002; Tomasz Maszczyk; Katarzyna Musial; Marc-André Zöller; Bogdan Gabrys (IDA, 2020)

An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. - Thanh Tung Khuat; Fang Chen 001; Bogdan Gabrys (IJCNN, 2020)

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. - Hongxu Chen 002; Hongzhi Yin; Xiangguo Sun; Tong Chen 005; Bogdan Gabrys; Katarzyna Musial (KDD, 2020)

Forty years of computers & chemical engineering: A bibliometric analysis. - Nikunja Mohan Modak; Valeria Lobos-Ossandón; José M. Merigó; Bogdan Gabrys; Jay H. Lee (Comput. Chem. Eng., 2020)

Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule. - Thanh Tung Khuat; Bogdan Gabrys (CoRR, 2020)

Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey. - Joakim Skarding; Bogdan Gabrys; Katarzyna Musial (CoRR, 2020)

AutoHAS: Differentiable Hyper-parameter and Architecture Search. - Xuanyi Dong; Mingxing Tan; Adams Wei Yu; Daiyi Peng; Bogdan Gabrys; Quoc V. Le (CoRR, 2020)

A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems. - Abbas Raza Ali; Marcin Budka; Bogdan Gabrys (CoRR, 2020)

Scoring and assessment in medical VR training simulators with dynamic time series classification. - Neil Vaughan; Bogdan Gabrys (Eng. Appl. Artif. Intell., 2020)

A comparative study of general fuzzy min-max neural networks for pattern classification problems. - Thanh Tung Khuat; Bogdan Gabrys (Neurocomputing, 2020)

Analysing Ego-Networks via Typed-Edge Graphlets: A Case Study of Chronic Pain Patients. - Mingshan Jia; Maité Van Alboom; Liesbet Goubert; Piet Bracke; Bogdan Gabrys; Katarzyna Musial (COMPLEX NETWORKS, 2021)

Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. - Tien-Dung Nguyen 002; David Jacob Kedziora; Katarzyna Musial; Bogdan Gabrys (IJCNN, 2021)

Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey. - Joakim Skarding; Bogdan Gabrys; Katarzyna Musial (IEEE Access, 2021)

Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems. - Patryk Grelewicz; Thanh Tung Khuat; Jacek Czeczot; Tomasz Klopot; Bogdan Gabrys (CoRR, 2021)

AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation. - Tien-Dung Nguyen 002; Katarzyna Musial; Bogdan Gabrys (Expert Syst. Appl., 2021)

An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. - Thanh Tung Khuat; Bogdan Gabrys (Neurocomputing, 2021)

Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule. - Thanh Tung Khuat; Bogdan Gabrys (Inf. Sci., 2021)

Automated adaptation strategies for stream learning. - Rashid Bakirov; Damien Fay; Bogdan Gabrys (Mach. Learn., 2021)

Hyperbox-based machine learning algorithms: a comprehensive survey. - Thanh Tung Khuat; Dymitr Ruta; Bogdan Gabrys (Soft Comput., 2021)

An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network. - Thanh Tung Khuat; Fang Chen 001; Bogdan Gabrys (IEEE Trans. Fuzzy Syst., 2021)

Analysing Egocentric Networks via Local Structure and Centrality Measures: A Study on Chronic Pain Patients. - Mingshan Jia; Maité Van Alboom; Liesbet Goubert; Piet Bracke; Bogdan Gabrys; Katarzyna Musial (ICOIN, 2022)

A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction. - Joakim Skarding; Matthew Hellmich; Bogdan Gabrys; Katarzyna Musial (IEEE Access, 2022)

Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. - Jiaqi Wen; Bogdan Gabrys; Katarzyna Musial (IEEE Access, 2022)

Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. - Jiaqi Wen; Bogdan Gabrys; Katarzyna Musial (CoRR, 2022)

The Roles and Modes of Human Interactions with Automated Machine Learning Systems. - Thanh Tung Khuat; David Jacob Kedziora; Bogdan Gabrys (CoRR, 2022)

hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms. - Thanh Tung Khuat; Bogdan Gabrys (CoRR, 2022)

NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size. - Xuanyi Dong; Lu Liu 019; Katarzyna Musial; Bogdan Gabrys (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Measuring Quadrangle Formation in Complex Networks. - Mingshan Jia; Bogdan Gabrys; Katarzyna Musial (IEEE Trans. Netw. Sci. Eng., 2022)

GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation. - Kuang Zhou; Jiang Ming; Bogdan Gabrys (SMC, 2023)

A Network Science Perspective of Graph Convolutional Networks: A Survey. - Mingshan Jia; Bogdan Gabrys; Katarzyna Musial (IEEE Access, 2023)

Review and Assessment of Digital Twin-Oriented Social Network Simulators. - Jiaqi Wen; Bogdan Gabrys; Katarzyna Musial (IEEE Access, 2023)

The Challenge of Quickly Determining the Quality of a Single-Photon Source. - David Jacob Kedziora; Anna Musial; Wojciech Rudno-Rudzinski; Bogdan Gabrys (CoRR, 2023)

Digital Twin-Oriented Complex Networked Systems based on Heterogeneous node features and interaction rules. - Jiaqi Wen; Bogdan Gabrys; Katarzyna Musial (CoRR, 2023)

Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems. - Jiaqi Wen; Bogdan Gabrys; Katarzyna Musial (CoRR, 2023)

Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia. - Mingshan Jia; Pasquale De Meo; Bogdan Gabrys; Katarzyna Musial (CoRR, 2023)

Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Alistair Grevis-James; Bogdan Gabrys (CoRR, 2023)

The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives. - Thanh Tung Khuat; David Jacob Kedziora; Bogdan Gabrys (Found. Trends Hum. Comput. Interact., 2023)

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry. - Alexander Scriven; David Jacob Kedziora; Katarzyna Musial; Bogdan Gabrys (Found. Trends Inf. Syst., 2023)

Random Hyperboxes. - Thanh Tung Khuat; Bogdan Gabrys (IEEE Trans. Neural Networks Learn. Syst., 2023)

An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data. - Thanh Tung Khuat; Bogdan Gabrys (Appl. Soft Comput., 2023)

hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms. - Thanh Tung Khuat; Bogdan Gabrys (SoftwareX, 2023)

Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems. - Patryk Grelewicz; Thanh Tung Khuat; Jacek Czeczot; Pawel Nowak; Tomasz Klopot; Bogdan Gabrys (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems. - Patryk Grelewicz; Pawel Nowak; Thanh Tung Khuat; Jacek Czeczot; Tomasz Klopot; Bogdan Gabrys (Appl. Soft Comput., 2023)

Harnessing data augmentation to quantify uncertainty in the early estimation of single-photon source quality. - David Jacob Kedziora; Anna Musial; Wojciech Rudno-Rudzinski; Bogdan Gabrys (Mach. Learn. Sci. Technol., 2023)

Online Machine Learning for Real-Time Cell Culture Process Monitoring. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Bogdan Gabrys (AI (2), 2024)

Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators. - Jiaqi Wen; Bogdan Gabrys; Katarzyna Musial (FUZZ, 2024)

Corrections to "A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction". - Joakim Skarding; Matthew Hellmich; Bogdan Gabrys; Katarzyna Musial (IEEE Access, 2024)

Application of self-improving Q-learning controller for a class of dynamical processes: Implementation aspects. - Jakub Musial; Krzysztof Stebel; Jacek Czeczot; Pawel Nowak; Bogdan Gabrys (Appl. Soft Comput., 2024)

Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Alistair Grevis-James; Bogdan Gabrys (Comput. Chem. Eng., 2024)

Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Bogdan Gabrys (CoRR, 2024)

Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production. - Ali Nik-Khorasani; Thanh Tung Khuat; Bogdan Gabrys (CoRR, 2024)

Deep Reinforcement Learning for Digital Twin-Oriented Complex Networked Systems. - Jiaqi Wen; Bogdan Gabrys; Katarzyna Musial (CoRR, 2024)

On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning. - David Jacob Kedziora; Tien-Dung Nguyen 002; Katarzyna Musial; Bogdan Gabrys (Expert Syst. Appl., 2024)

Automated Deep Learning: Neural Architecture Search Is Not the End. - Xuanyi Dong; David Jacob Kedziora; Katarzyna Musial; Bogdan Gabrys (Found. Trends Mach. Learn., 2024)

AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. - David Jacob Kedziora; Katarzyna Musial; Bogdan Gabrys (Found. Trends Mach. Learn., 2024)

DTCNS: A python toolbox for digital twin-oriented complex networked systems. - Jiaqi Wen; Bogdan Gabrys; Katarzyna Musial (SoftwareX, 2024)

On the Effectiveness of Heterogeneous Ensembles Combining Graph Neural Networks and Heuristics for Dynamic Link Prediction. - Joakim Skarding; Bogdan Gabrys; Katarzyna Musial (IEEE Trans. Netw. Sci. Eng., 2024)

Transfer learning and the early estimation of single-photon source quality using machine learning methods. - David Jacob Kedziora; Anna Musial; Wojciech Rudno-Rudzinski; Bogdan Gabrys (Mach. Learn. Sci. Technol., 2025)

Hallucination Detection in LLMs Using Spectral Features of Attention Maps. - Jakub Binkowski; Denis Janiak; Albert Sawczyn; Bogdan Gabrys; Tomasz Kajdanowicz (CoRR, 2025)

FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs. - Albert Sawczyn; Jakub Binkowski; Denis Janiak; Bogdan Gabrys; Tomasz Kajdanowicz (CoRR, 2025)

Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review. - Johnny Peng; Thanh Tung Khuat; Katarzyna Musial; Bogdan Gabrys (CoRR, 2025)

Learning Causal Representations Based on a GAE Embedded Autoencoder. - Kuang Zhou; Ming Jiang; Bogdan Gabrys; Yong Xu (IEEE Trans. Knowl. Data Eng., 2025)

The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs. - Denis Janiak; Jakub Binkowski; Albert Sawczyn; Bogdan Gabrys; Ravid Shwartz-Ziv; Tomasz Kajdanowicz (CoRR, 2025)