| 2026 | EACL | FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs. | Albert Sawczyn, Jakub Binkowski, Denis Janiak, Bogdan Gabrys, Tomasz Kajdanowicz |
| 2025 | EMNLP | Hallucination Detection in LLMs Using Spectral Features of Attention Maps. | Jakub Binkowski, Denis Janiak, Albert Sawczyn, Bogdan Gabrys, Tomasz Kajdanowicz |
| 2025 | EMNLP | The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs. | Denis Janiak, Jakub Binkowski, Albert Sawczyn, Bogdan Gabrys, Ravid Shwartz-Ziv, Tomasz Kajdanowicz |
| 2023 | SMC | GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation. | Kuang Zhou, Jiang Ming, Bogdan Gabrys |
| 2021 | IJCNN | Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. | Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys |
| 2020 | IJCNN | An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. | Thanh Tung Khuat, Fang Chen, Bogdan Gabrys |
| 2020 | IDA | AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. | Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-Andr Zller, Bogdan Gabrys |
| 2020 | KDD | Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. | Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial |
| 2019 | ICDM | Automated Machine Learning Techniques in Prognostics of Railway Track Defects. | Simon Kocbek, Bogdan Gabrys |
| 2019 | ICONIP | Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data. | Thanh Tung Khuat, Bogdan Gabrys |
| 2019 | ICONIP | 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 |
| 2019 | PRICAI | Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation. | Abbas Raza Ali, Marcin Budka, Bogdan Gabrys |
| 2019 | PRICAI | A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously. | Abbas Raza Ali, Marcin Budka, Bogdan Gabrys |
| 2018 | KES | Cross-domain Meta-learning for Time-series Forecasting. | Abbas Raza Ali, Bogdan Gabrys, Marcin Budka |
| 2018 | KSEM | Robust Detection of Communities with Multi-semantics in Large Attributed Networks. | Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial |
| 2017 | ADMA | Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach. | Bassma Al-Jubouri, Bogdan Gabrys |
| 2016 | CEC | 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, Jrn Mehnen, Yaochu Jin, Bogdan Gabrys |
| 2016 | CEC | Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. | Hongmei He, Ashutosh Tiwari, Jrn Mehnen, Tim Watson, Carsten Maple, Yaochu Jin, Bogdan Gabrys |
| 2016 | HAIS | Towards Automatic Composition of Multicomponent Predictive Systems. | Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys |
| 2016 | ICML | Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. | Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys |
| 2016 | IJCNN | Augmenting adaptation with retrospective model correction for non-stationary regression problems. | Rashid Bakirov, Bogdan Gabrys, Damien Fay |
| 2016 | KES | Local Learning for Multi-layer, Multi-component Predictive System. | Bassma Al-Jubouri, Bogdan Gabrys |
| 2016 | KES | Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems. | Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys |
| 2016 | KES | Comparing and Combining Time Series Trajectories Using Dynamic Time Warping. | Neil Vaughan, Bogdan Gabrys |
| 2015 | IJCNN | On sequences of different adaptive mechanisms in non-stationary regression problems. | Rashid Bakirov, Bogdan Gabrys, Damien Fay |
| 2014 | ICINCO | 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 |
| 2014 | IPMU | Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction. | Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin |
| 2014 | IDA | From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors. | Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan, Athanasios Tsakonas, Indre Zliobaite |
| 2014 | KES | Online Detection of Shutdown Periods in Chemical Plants: A Case Study. | Manuel Martin Salvador, Bogdan Gabrys, Indre Zliobaite |
| 2013 | SGAI | KNNs and Sequence Alignment for Churn Prediction. | Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin |
| 2012 | IJCCI | Fuzzy Base Predictor Outputs as Conditional Selectors for Evolved Combined Prediction System. | Athanasios Tsakonas, Bogdan Gabrys |
| 2012 | IJCCI | Application of Base Learners as Conditional Input for Fuzzy Rule-Based Combined System. | Athanasios Tsakonas, Bogdan Gabrys |
| 2012 | SGAI | Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales. | Edward Tersoo Apeh, Indre Zliobaite, Mykola Pechenizkiy, Bogdan Gabrys |
| 2012 | SGAI | A Hybrid Model for Business Process Event Prediction. | Mai Le, Bogdan Gabrys, Detlef D. Nauck |
| 2011 | ICDM | Change Mining of Customer Profiles Based on Transactional Data. | Edward Tersoo Apeh, Bogdan Gabrys |
| 2011 | IJCCI | Evolving Takagi-Sugeno-Kang Fuzzy Systems using Multi Population Grammar-Guided Genetic Programming. | Athanasios Tsakonas, Bogdan Gabrys |
| 2010 | IJCNN | Correntropy-based density-preserving data sampling as an alternative to standard cross-validation. | Marcin Budka, Bogdan Gabrys |
| 2010 | IJCNN | Adaptive on-line prediction soft sensing without historical data. | Petr Kadlec, Bogdan Gabrys |
| 2009 | ICIAP | Learning with Missing or Incomplete Data. | Bogdan Gabrys |
| 2009 | KES | A Non-sequential Representation of Sequential Data for Churn Prediction. | Mark Eastwood, Bogdan Gabrys |
| 2008 | ESANN | Do we need experts for time series forecasting?. | Christiane Lemke, Bogdan Gabrys |
| 2008 | HAIS | Do Smart Adaptive Systems Exist? Hybrid Intelligent Systems Perspective. | Bogdan Gabrys |
| 2008 | ICONIP | Soft Sensor Based on Adaptive Local Learning. | Petr Kadlec, Bogdan Gabrys |
| 2008 | ICONIP | Patterns of Interactions in Complex Social Networks Based on Coloured Motifs Analysis. | Katarzyna Musial, Krzysztof Juszczyszyn, Bogdan Gabrys, Przemyslaw Kazienko |
| 2008 | IJCNN | Learnt Topology Gating Artificial Neural Networks. | Petr Kadlec, Bogdan Gabrys |
| 2007 | IJCNN | Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning. | Silvia Riedel, Bogdan Gabrys |
| 2007 | IJCNN | Neural Network Ensembles for Time Series Prediction. | Dymitr Ruta, Bogdan Gabrys |
| 2007 | IWANN | Particle Swarm Optimisation of Multiple Classifier Systems. | Martin Macas, Bogdan Gabrys, Dymitr Ruta, Lenka Lhotsk |
| 2007 | KES | Adaptive Mechanisms for Classification Problems with Drifting Data. | Zoheir Sahel, Abdelhamid Bouchachia, Bogdan Gabrys, Paul Rogers |
| 2006 | IDEAL | Maximum Likelihood Topology Preserving Ensembles. | Emilio Corchado, Bruno Baruque, Bogdan Gabrys |
| 2006 | KES | Clustering for Data Matching. | Edward Tersoo Apeh, Bogdan Gabrys |
| 2006 | KES | Outlier Resistant PCA Ensembles. | Bogdan Gabrys, Bruno Baruque, Emilio Corchado |
| 2000 | KES | Pattern classification for incomplete data. | Bogdan Gabrys |