Marcin Budka
Orcid: 0000-0003-0158-6309
According to our database1,
Marcin Budka
authored at least 51 papers
between 2009 and 2024.
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Bibliography
2024
Dual Input Stream Transformer for Vertical Drift Correction in Eye-Tracking Reading Data.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Transaction monitoring in anti-money laundering: A qualitative analysis and points of view from industry.
Future Gener. Comput. Syst., 2024
GazeGenie: Enhancing Multi-Line Reading Research with an Innovative User-Friendly Tool.
CoRR, 2024
Expanding the Katz Index for Link Prediction: A Case Study on a Live Fish Movement Network.
CoRR, 2024
Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024
2023
CoRR, 2023
Enhancing Anti-Money Laundering: Development of a Synthetic Transaction Monitoring Dataset.
Proceedings of the IEEE International Conference on e-Business Engineering, 2023
Perspectives from Experts on Developing Transaction Monitoring Methods for Anti-Money Laundering.
Proceedings of the IEEE International Conference on e-Business Engineering, 2023
2022
A Model Architecture for Public Transport Networks Using a Combination of a Recurrent Neural Network Encoder Library and a Attention Mechanism.
Algorithms, 2022
Enhancing Transaction Monitoring Controls to Detect Money Laundering Using Machine Learning.
Proceedings of the IEEE International Conference on e-Business Engineering, 2022
2021
Appl. Soft Comput., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems.
CoRR, 2020
Impact of Data Quality and Target Representation on Predictions for Urban Bus Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
2019
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA.
IEEE Trans Autom. Sci. Eng., 2019
CoRR, 2019
A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
2018
Complex Syst. Informatics Model. Q., 2018
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018
2017
Proceedings of the Complex Networks & Their Applications VI, 2017
2016
CoRR, 2016
Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry.
Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
2015
Scalable Comput. Pract. Exp., 2015
Neurocomputing, 2015
2014
Appl. Soft Comput., 2014
From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014
Simulating the Information Diffusion Process in Complex Networks Using Push and Pull Strategies.
Proceedings of the 2014 European Network Intelligence Conference, 2014
2013
Proceedings of the Advanced Methods for Computational Collective Intelligence, 2013
World Wide Web, 2013
Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2013
Soc. Netw. Anal. Min., 2013
2012
Predicting the Evolution of Social Networks: Optimal Time Window Size for Increased Accuracy.
Proceedings of the 2012 International Conference on Privacy, 2012
A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
2011
Electrostatic field framework for supervised and semi-supervised learning from incomplete data.
Nat. Comput., 2011
On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling.
Entropy, 2011
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011
2010
PhD thesis, 2010
Proceedings of the International Conference on Computational Science, 2010
Correntropy-based density-preserving data sampling as an alternative to standard cross-validation.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Proceedings of the Computer Recognition Systems 3, 2009