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

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

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

Physically inspired methods and development of data-driven predictive systems. - Marcin Budka (2010)

The Dynamic Structural Patterns of Social Networks Based on Triad Transitions. - Krzysztof Juszczyszyn; Marcin Budka; Katarzyna Musial (ASONAM, 2011)

High-Performance Music Information Retrieval System for Song Genre Classification. - Amanda C. Schierz; Marcin Budka (ISMIS, 2011)

Link Prediction Based on Subgraph Evolution in Dynamic Social Networks. - Krzysztof Juszczyszyn; Katarzyna Musial; Marcin Budka (SocialCom/PASSAT, 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 Probabilistic Approach to Structural Change Prediction in Evolving Social Networks. - Krzysztof Juszczyszyn; Adam Gonczarek; Jakub M. Tomczak; Katarzyna Musial; Marcin Budka (ASONAM, 2012)

Predicting the Evolution of Social Networks: Optimal Time Window Size for Increased Accuracy. - Marcin Budka; Katarzyna Musial; Krzysztof Juszczyszyn (SocialCom/PASSAT, 2012)

Molecular model of dynamic social network based on e-mail communication. - Marcin Budka; Krzysztof Juszczyszyn; Katarzyna Musial; Anna Musial (Soc. Netw. Anal. Min., 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)

Creation and growth of online social network - How do social networks evolve? - Katarzyna Musial; Marcin Budka; Krzysztof Juszczyszyn (World Wide Web, 2013)

Clustering as an Example of Optimizing Arbitrarily Chosen Objective Functions. - Marcin Budka (Advanced Methods for Computational Collective Intelligence, 2013)

Simulating the Information Diffusion Process in Complex Networks Using Push and Pull Strategies. - Dariusz Król 001; Marcin Budka; Katarzyna Musial (ENIC, 2014)

Empirical Identification of Non-stationary Dynamics in Time Series of Recordings. - Emili Balaguer-Ballester; Alejandro Tabas-Diaz; Marcin Budka (ICAIS, 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)

Data stream synchronization for defining meaningful fMRI classification problems. - Marcin Budka (Appl. Soft Comput., 2014)

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

Towards cost-sensitive adaptation: When is it worth updating your predictive model? - Indre Zliobaite; Marcin Budka; Frederic T. Stahl (Neurocomputing, 2015)

Scaling Beyond One Rack and Sizing of Hadoop Platform. - Wieslawa Litke; Marcin Budka (Scalable Comput. Pract. Exp., 2015)

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)

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

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

Newton's Gravitational Law for Link Prediction in Social Networks. - Akanda Wahid-Ul-Ashraf; Marcin Budka; Katarzyna Musial-Gabrys (COMPLEX NETWORKS, 2017)

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

NetSim - The framework for complex network generator. - Akanda Wahid-Ul-Ashraf; Marcin Budka; Katarzyna Musial (KES, 2018)

Enabling Responsible Online Gambling by Real-time Persuasive Technologies. - George Drosatos; Fotis Nalbadis; Emily Arden-Close; Victoria Baines; Elvira Bolat; Laura Vuillier; Theodoros Kostoulas; Marcin Budka; Sonia Wasowska; Maris Bonello; Jamie Brown; Tessa Corner; et al. (Complex Syst. Informatics Model. Q., 2018)

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)

Survey of ETA prediction methods in public transport networks. - Thilo Reich; Marcin Budka; Derek Robbins; David Hulbert (CoRR, 2019)

Simulation and Augmentation of Social Networks for Building Deep Learning Models. - Akanda Wahid-Ul-Ashraf; Marcin Budka; Katarzyna Musial (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)

Impact of Data Quality and Target Representation on Predictions for Urban Bus Networks. - Thilo Reich; Marcin Budka; David Hulbert (SSCI, 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)

An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease. - Abbas Raza Ali; Marcin Budka (IJCNN, 2021)

Deep multilabel CNN for forensic footwear impression descriptor identification. - Marcin Budka; Akanda Wahid-Ul-Ashraf; Matthew Bennett; Scott Neville; Alun Mackrill (Appl. Soft Comput., 2021)

Sexing Caucasian 2D footprints using convolutional neural networks. - Marcin Budka; Matthew R. Bennet; Sally Reynolds; Shelby Barefoot; Sarah Reel; Selina Reidy; Jeremy Walker (CoRR, 2021)

Enhancing Transaction Monitoring Controls to Detect Money Laundering Using Machine Learning. - Berkan Oztas; Deniz Cetinkaya; Festus Fatai Adedoyin; Marcin Budka (ICEBE, 2022)

A Model Architecture for Public Transport Networks Using a Combination of a Recurrent Neural Network Encoder Library and a Attention Mechanism. - Thilo Reich; David Hulbert; Marcin Budka (Algorithms, 2022)

Perspectives from Experts on Developing Transaction Monitoring Methods for Anti-Money Laundering. - Berkan Oztas; Deniz Cetinkaya; Festus Fatai Adedoyin; Marcin Budka; Huseyin Dogan; Gökhan Aksu (ICEBE, 2023)

Enhancing Anti-Money Laundering: Development of a Synthetic Transaction Monitoring Dataset. - Berkan Oztas; Deniz Cetinkaya; Festus Fatai Adedoyin; Marcin Budka; Huseyin Dogan; Gökhan Aksu (ICEBE, 2023)

CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition. - Kari Ali Noriy; Xiaosong Yang; Marcin Budka; Jian Jun Zhang 001 (CoRR, 2023)

Dual input stream transformer for eye-tracking line assignment. - Thomas M. Mercier; Marcin Budka; Martin R. Vasilev; Julie A. Kirkby; Bernhard Angele; Timothy J. Slattery (CoRR, 2023)

Optimizing Neural Topic Modeling Pipelines for Low-Quality Speech Transcriptions. - Ehsan Taati; Marcin Budka; Scott Neville; James Canniffe (ACIIDS (1), 2024)

Expanding the Katz Index for Link Prediction: A Case Study on a Live Fish Movement Network. - Michael-Sam Vidza; Marcin Budka; Wei Koong Chai; Mark Thrush; Mickael Teixeira Alves (CoRR, 2024)

GazeGenie: Enhancing Multi-Line Reading Research with an Innovative User-Friendly Tool. - Thomas M. Mercier; Marcin Budka; Bernhard Angele; Martin R. Vasilev; Timothy J. Slattery; Julie A. Kirkby (CoRR, 2024)

Transaction monitoring in anti-money laundering: A qualitative analysis and points of view from industry. - Berkan Oztas; Deniz Cetinkaya; Festus Adedoyin; Marcin Budka; Gökhan Aksu; Huseyin Dogan (Future Gener. Comput. Syst., 2024)

Dual Input Stream Transformer for Vertical Drift Correction in Eye-Tracking Reading Data. - Thomas M. Mercier; Marcin Budka; Martin R. Vasilev; Julie A. Kirkby; Bernhard Angele; Timothy J. Slattery (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Supply network disruption: A framework for assessing vulnerability and implementing resilience strategies. - Michael-Sam Vidza; Marcin Budka; Wei Koong Chai; Mark Thrush; Mickael Teixeira Alves (Inf. Sci., 2025)

Predicting spatio-temporal dynamics in aquaculture networks: An extended Katz index approach. - Michael-Sam Vidza; Marcin Budka; Wei Koong Chai; Mark Thrush; Mickael Teixeira Alves (Knowl. Based Syst., 2025)