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2020 – today
- 2024
[j15]Berkan Oztas
, Deniz Cetinkaya, Festus Adedoyin, Marcin Budka, Gökhan Aksu, Huseyin Dogan:
Transaction monitoring in anti-money laundering: A qualitative analysis and points of view from industry. Future Gener. Comput. Syst. 159: 161-171 (2024)- [j14]Thomas M. Mercier, Marcin Budka, Martin R. Vasilev, Julie A. Kirkby, Bernhard Angele, Timothy J. Slattery:
Dual Input Stream Transformer for Vertical Drift Correction in Eye-Tracking Reading Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8715-8726 (2024) - [c24]Ehsan Taati, Marcin Budka, Scott Neville, James Canniffe:
Optimizing Neural Topic Modeling Pipelines for Low-Quality Speech Transcriptions. ACIIDS (1) 2024: 184-197 - [i12]Michael-Sam Vidza, Marcin Budka, Wei Koong Chai, Mark Thrush, Mickael Teixeira Alves:
Expanding the Katz Index for Link Prediction: A Case Study on a Live Fish Movement Network. CoRR abs/2404.12871 (2024) - [i11]Thomas M. Mercier, Marcin Budka, Bernhard Angele, Martin R. Vasilev, Timothy J. Slattery, Julie A. Kirkby:
GazeGenie: Enhancing Multi-Line Reading Research with an Innovative User-Friendly Tool. CoRR abs/2410.11873 (2024) - 2023
- [c23]Berkan Oztas, Deniz Cetinkaya, Festus Fatai Adedoyin, Marcin Budka, Huseyin Dogan, Gökhan Aksu:
Perspectives from Experts on Developing Transaction Monitoring Methods for Anti-Money Laundering. ICEBE 2023: 39-46 - [c22]Berkan Oztas, Deniz Cetinkaya, Festus Fatai Adedoyin, Marcin Budka, Huseyin Dogan, Gökhan Aksu:
Enhancing Anti-Money Laundering: Development of a Synthetic Transaction Monitoring Dataset. ICEBE 2023: 47-54 - [i10]Kari Ali Noriy, Xiaosong Yang, Marcin Budka, Jian Jun Zhang:
CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition. CoRR abs/2310.11830 (2023) - [i9]Thomas M. Mercier, Marcin Budka, Martin R. Vasilev, Julie A. Kirkby, Bernhard Angele, Timothy J. Slattery:
Dual input stream transformer for eye-tracking line assignment. CoRR abs/2311.06095 (2023) - 2022
- [j13]Thilo Reich, David Hulbert, Marcin Budka:
A Model Architecture for Public Transport Networks Using a Combination of a Recurrent Neural Network Encoder Library and a Attention Mechanism. Algorithms 15(9): 328 (2022) - [c21]Berkan Oztas, Deniz Cetinkaya, Festus Fatai Adedoyin, Marcin Budka:
Enhancing Transaction Monitoring Controls to Detect Money Laundering Using Machine Learning. ICEBE 2022: 26-28 - 2021
- [j12]Marcin Budka, Akanda Wahid-Ul-Ashraf, Matthew Bennett, Scott Neville, Alun Mackrill:
Deep multilabel CNN for forensic footwear impression descriptor identification. Appl. Soft Comput. 109: 107496 (2021) - [c20]Abbas Raza Ali, Marcin Budka:
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease. IJCNN 2021: 1-8 - [i8]Marcin Budka, Akanda Wahid-Ul-Ashraf, Scott Neville, Alun Mackrill, Matthew Bennett:
Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification. CoRR abs/2102.05090 (2021) - [i7]Abbas Raza Ali, Marcin Budka:
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease. CoRR abs/2104.14116 (2021) - [i6]Marcin Budka, Matthew R. Bennet, Sally Reynolds, Shelby Barefoot, Sarah Reel, Selina Reidy, Jeremy Walker:
Sexing Caucasian 2D footprints using convolutional neural networks. CoRR abs/2108.01554 (2021) - 2020
- [c19]Thilo Reich, Marcin Budka, David Hulbert:
Impact of Data Quality and Target Representation on Predictions for Urban Bus Networks. SSCI 2020: 2843-2852 - [i5]Abbas Raza Ali, Marcin Budka, Bogdan Gabrys:
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems. CoRR abs/2007.10818 (2020)
2010 – 2019
- 2019
- [j11]Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys:
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA. IEEE Trans Autom. Sci. Eng. 16(2): 946-959 (2019) - [c18]Abbas Raza Ali, Marcin Budka, Bogdan Gabrys:
Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation. PRICAI (2) 2019: 66-79 - [c17]Abbas Raza Ali, Marcin Budka, Bogdan Gabrys:
A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously. PRICAI (2) 2019: 93-106 - [i4]Thilo Reich, Marcin Budka, Derek Robbins, David Hulbert:
Survey of ETA prediction methods in public transport networks. CoRR abs/1904.05037 (2019) - [i3]Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial:
Simulation and Augmentation of Social Networks for Building Deep Learning Models. CoRR abs/1905.09087 (2019) - 2018
- [j10]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, John McAlaney, Keith Phalp, Raian Ali:
Enabling Responsible Online Gambling by Real-time Persuasive Technologies. Complex Syst. Informatics Model. Q. 17: 44-68 (2018) - [c16]Abbas Raza Ali, Bogdan Gabrys, Marcin Budka:
Cross-domain Meta-learning for Time-series Forecasting. KES 2018: 9-18 - [c15]Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial:
NetSim - The framework for complex network generator. KES 2018: 547-556 - [i2]Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial:
NetSim - The framework for complex network generator. CoRR abs/1805.10520 (2018) - 2017
- [c14]Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial-Gabrys:
Newton's Gravitational Law for Link Prediction in Social Networks. COMPLEX NETWORKS 2017: 93-104 - 2016
- [c13]Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys:
Towards Automatic Composition of Multicomponent Predictive Systems. HAIS 2016: 27-39 - [c12]Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys:
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. AutoML@ICML 2016: 48-57 - [c11]Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys:
Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems. KES 2016: 713-722 - [i1]Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys:
Automatic composition and optimisation of multicomponent predictive systems. CoRR abs/1612.08789 (2016) - 2015
- [j9]Christiane Lemke, Marcin Budka, Bogdan Gabrys:
Metalearning: a survey of trends and technologies. Artif. Intell. Rev. 44(1): 117-130 (2015) - [j8]Indre Zliobaite, Marcin Budka, Frederic T. Stahl:
Towards cost-sensitive adaptation: When is it worth updating your predictive model? Neurocomputing 150: 240-249 (2015) - [j7]Wieslawa Litke, Marcin Budka:
Scaling Beyond One Rack and Sizing of Hadoop Platform. Scalable Comput. Pract. Exp. 16(4): 423-436 (2015) - 2014
- [j6]Marcin Budka:
Data stream synchronization for defining meaningful fMRI classification problems. Appl. Soft Comput. 24: 212-221 (2014) - [c10]Dariusz Król, Marcin Budka, Katarzyna Musial:
Simulating the Information Diffusion Process in Complex Networks Using Push and Pull Strategies. ENIC 2014: 1-8 - [c9]Emili Balaguer-Ballester, Alejandro Tabas-Diaz, Marcin Budka:
Empirical Identification of Non-stationary Dynamics in Time Series of Recordings. ICAIS 2014: 142-151 - [c8]Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan, Athanasios Tsakonas, Indre Zliobaite:
From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors. IDA 2014: 49-60 - 2013
- [j5]Marcin Budka, Krzysztof Juszczyszyn, Katarzyna Musial, Anna Musial:
Molecular model of dynamic social network based on e-mail communication. Soc. Netw. Anal. Min. 3(3): 543-563 (2013) - [j4]Marcin Budka, Bogdan Gabrys:
Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation. IEEE Trans. Neural Networks Learn. Syst. 24(1): 22-34 (2013) - [j3]Katarzyna Musial, Marcin Budka, Krzysztof Juszczyszyn:
Creation and growth of online social network - How do social networks evolve? World Wide Web 16(4): 421-447 (2013) - [p2]Marcin Budka:
Clustering as an Example of Optimizing Arbitrarily Chosen Objective Functions. Advanced Methods for Computational Collective Intelligence 2013: 177-186 - 2012
- [c7]Krzysztof Juszczyszyn, Adam Gonczarek, Jakub M. Tomczak, Katarzyna Musial, Marcin Budka:
A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks. ASONAM 2012: 996-1001 - [c6]Marcin Budka, Katarzyna Musial, Krzysztof Juszczyszyn:
Predicting the Evolution of Social Networks: Optimal Time Window Size for Increased Accuracy. SocialCom/PASSAT 2012: 21-30 - 2011
- [j2]Marcin Budka, Bogdan Gabrys, Katarzyna Musial:
On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling. Entropy 13(7): 1229-1266 (2011) - [j1]Marcin Budka, Bogdan Gabrys:
Electrostatic field framework for supervised and semi-supervised learning from incomplete data. Nat. Comput. 10(2): 921-945 (2011) - [c5]Krzysztof Juszczyszyn, Marcin Budka, Katarzyna Musial:
The Dynamic Structural Patterns of Social Networks Based on Triad Transitions. ASONAM 2011: 581-586 - [c4]Amanda C. Schierz, Marcin Budka:
High-Performance Music Information Retrieval System for Song Genre Classification. ISMIS 2011: 725-733 - [c3]Krzysztof Juszczyszyn, Katarzyna Musial, Marcin Budka:
Link Prediction Based on Subgraph Evolution in Dynamic Social Networks. SocialCom/PASSAT 2011: 27-34 - 2010
- [b1]Marcin Budka:
Physically inspired methods and development of data-driven predictive systems. Bournemouth University, Poole, UK, 2010 - [c2]Marcin Budka, Bogdan Gabrys:
Correntropy-based density-preserving data sampling as an alternative to standard cross-validation. IJCNN 2010: 1-8 - [c1]Marcin Budka, Bogdan Gabrys:
Ridge regression ensemble for toxicity prediction. ICCS 2010: 193-201
2000 – 2009
- 2009
- [p1]Marcin Budka, Bogdan Gabrys:
Electrostatic Field Classifier for Deficient Data. Computer Recognition Systems 3 2009: 311-318
Coauthor Index
aka: Katarzyna Musial-Gabrys
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