Marcin Budka - RankMe

58 papers B 9C 1Misc 2Journal 29Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Automatic detection of the lumbar spine using transfer learning for Quantitative Fluoroscopy. KES Rantilini Samaratunga, Marcin Budka, Alexander Breen, Alan Breen
2025	J	`jnl`	Predicting spatio-temporal dynamics in aquaculture networks: An extended Katz index approach. Knowl. Based Syst. Michael-Sam Vidza, Marcin Budka, Wei Koong Chai, Mark Thrush, Mickael Teixeira Alves
2025	J	`jnl`	Supply network disruption: A framework for assessing vulnerability and implementing resilience strategies. Inf. Sci. Michael-Sam Vidza, Marcin Budka, Wei Koong Chai, Mark Thrush, Mickael Teixeira Alves
2025	—	`conf`	Tab-AML: A Transformer Based Transaction Monitoring Model for Anti-Money Laundering. CAI Berkan Oztas, Deniz Cetinkaya, Festus Adedoyin, Marcin Budka, Huseyin Dogan, Gökhan Aksu
2024	J	`jnl`	Dual Input Stream Transformer for Vertical Drift Correction in Eye-Tracking Reading Data. IEEE Trans. Pattern Anal. Mach. Intell. Thomas M. Mercier, Marcin Budka, Martin R. Vasilev, Julie A. Kirkby, Bernhard Angele, Timothy J. Slattery
2024	J	`jnl`	Expanding the Katz Index for Link Prediction: A Case Study on a Live Fish Movement Network. CoRR Michael-Sam Vidza, Marcin Budka, Wei Koong Chai, Mark Thrush, Mickael Teixeira Alves
2024	J	`jnl`	GazeGenie: Enhancing Multi-Line Reading Research with an Innovative User-Friendly Tool. CoRR Thomas M. Mercier, Marcin Budka, Bernhard Angele, Martin R. Vasilev, Timothy J. Slattery, Julie A. Kirkby
2024	—	`conf`	Optimizing Neural Topic Modeling Pipelines for Low-Quality Speech Transcriptions. ACIIDS (1) Ehsan Taati, Marcin Budka, Scott Neville, James Canniffe
2024	J	`jnl`	Transaction monitoring in anti-money laundering: A qualitative analysis and points of view from industry. Future Gener. Comput. Syst. Berkan Oztas, Deniz Cetinkaya, Festus Adedoyin, Marcin Budka, Gökhan Aksu, Huseyin Dogan
2023	J	`jnl`	CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition. CoRR Kari Ali Noriy, Xiaosong Yang, Marcin Budka, Jian Jun Zhang
2023	J	`jnl`	Dual input stream transformer for eye-tracking line assignment. CoRR Thomas M. Mercier, Marcin Budka, Martin R. Vasilev, Julie A. Kirkby, Bernhard Angele, Timothy J. Slattery
2023	—	`conf`	Enhancing Anti-Money Laundering: Development of a Synthetic Transaction Monitoring Dataset. ICEBE Berkan Oztas, Deniz Cetinkaya, Festus Fatai Adedoyin, Marcin Budka, Huseyin Dogan, Gökhan Aksu
2023	—	`conf`	Perspectives from Experts on Developing Transaction Monitoring Methods for Anti-Money Laundering. ICEBE Berkan Oztas, Deniz Cetinkaya, Festus Fatai Adedoyin, Marcin Budka, Huseyin Dogan, Gökhan Aksu
2022	J	`jnl`	A Model Architecture for Public Transport Networks Using a Combination of a Recurrent Neural Network Encoder Library and a Attention Mechanism. Algorithms Thilo Reich, David Hulbert, Marcin Budka
2022	—	`conf`	Enhancing Transaction Monitoring Controls to Detect Money Laundering Using Machine Learning. ICEBE Berkan Oztas, Deniz Cetinkaya, Festus Fatai Adedoyin, Marcin Budka
2021	B	`conf`	An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease. IJCNN Abbas Raza Ali, Marcin Budka
2021	J	`jnl`	An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease. CoRR Abbas Raza Ali, Marcin Budka
2021	J	`jnl`	Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification. CoRR Marcin Budka, Akanda Wahid-Ul-Ashraf, Scott Neville, Alun Mackrill, Matthew Bennett
2021	J	`jnl`	Deep multilabel CNN for forensic footwear impression descriptor identification. Appl. Soft Comput. Marcin Budka, Akanda Wahid-Ul-Ashraf, Matthew Bennett, Scott Neville, Alun Mackrill
2021	J	`jnl`	Sexing Caucasian 2D footprints using convolutional neural networks. CoRR Marcin Budka, Matthew R. Bennet, Sally Reynolds, Shelby Barefoot, Sarah Reel, Selina Reidy, Jeremy Walker
2020	J	`jnl`	A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems. CoRR Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
2020	—	`conf`	Impact of Data Quality and Target Representation on Predictions for Urban Bus Networks. SSCI Thilo Reich, Marcin Budka, David Hulbert
2019	—	`conf`	A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously. PRICAI (2) Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
2019	J	`jnl`	Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA. IEEE Trans Autom. Sci. Eng. Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2019	J	`jnl`	Simulation and Augmentation of Social Networks for Building Deep Learning Models. CoRR Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial
2019	J	`jnl`	Survey of ETA prediction methods in public transport networks. CoRR Thilo Reich, Marcin Budka, Derek Robbins, David Hulbert
2019	—	`conf`	Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation. PRICAI (2) Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
2018	B	`conf`	Cross-domain Meta-learning for Time-series Forecasting. KES Abbas Raza Ali, Bogdan Gabrys, Marcin Budka
2018	J	`jnl`	Enabling Responsible Online Gambling by Real-time Persuasive Technologies. Complex Syst. Informatics Model. Q. 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
2018	B	`conf`	NetSim - The framework for complex network generator. KES Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial
2018	J	`jnl`	NetSim - The framework for complex network generator. CoRR Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial
2017	—	`conf`	Newton's Gravitational Law for Link Prediction in Social Networks. COMPLEX NETWORKS Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial-Gabrys
2016	—	`conf`	Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. AutoML@ICML Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2016	J	`jnl`	Automatic composition and optimisation of multicomponent predictive systems. CoRR Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2016	B	`conf`	Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems. KES Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2016	Misc	`conf`	Towards Automatic Composition of Multicomponent Predictive Systems. HAIS Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2015	J	`jnl`	Metalearning: a survey of trends and technologies. Artif. Intell. Rev. Christiane Lemke, Marcin Budka, Bogdan Gabrys
2015	J	`jnl`	Scaling Beyond One Rack and Sizing of Hadoop Platform. Scalable Comput. Pract. Exp. Wieslawa Litke, Marcin Budka
2015	J	`jnl`	Towards cost-sensitive adaptation: When is it worth updating your predictive model? Neurocomputing Indre Zliobaite, Marcin Budka, Frederic T. Stahl
2014	J	`jnl`	Data stream synchronization for defining meaningful fMRI classification problems. Appl. Soft Comput. Marcin Budka
2014	—	`conf`	Empirical Identification of Non-stationary Dynamics in Time Series of Recordings. ICAIS Emili Balaguer-Ballester, Alejandro Tabas-Diaz, Marcin Budka
2014	B	`conf`	From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors. IDA Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan, Athanasios Tsakonas, Indre Zliobaite
2014	—	`conf`	Simulating the Information Diffusion Process in Complex Networks Using Push and Pull Strategies. ENIC Dariusz Król, Marcin Budka, Katarzyna Musial
2013	—	`ch.`	Clustering as an Example of Optimizing Arbitrarily Chosen Objective Functions. Advanced Methods for Computational Collective Intelligence Marcin Budka
2013	J	`jnl`	Creation and growth of online social network - How do social networks evolve? World Wide Web Katarzyna Musial, Marcin Budka, Krzysztof Juszczyszyn
2013	J	`jnl`	Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation. IEEE Trans. Neural Networks Learn. Syst. Marcin Budka, Bogdan Gabrys
2013	J	`jnl`	Molecular model of dynamic social network based on e-mail communication. Soc. Netw. Anal. Min. Marcin Budka, Krzysztof Juszczyszyn, Katarzyna Musial, Anna Musial
2012	B	`conf`	A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks. ASONAM Krzysztof Juszczyszyn, Adam Gonczarek, Jakub M. Tomczak, Katarzyna Musial, Marcin Budka
2012	—	`conf`	Predicting the Evolution of Social Networks: Optimal Time Window Size for Increased Accuracy. SocialCom/PASSAT Marcin Budka, Katarzyna Musial, Krzysztof Juszczyszyn
2011	J	`jnl`	Electrostatic field framework for supervised and semi-supervised learning from incomplete data. Nat. Comput. Marcin Budka, Bogdan Gabrys
2011	C	`conf`	High-Performance Music Information Retrieval System for Song Genre Classification. ISMIS Amanda C. Schierz, Marcin Budka
2011	—	`conf`	Link Prediction Based on Subgraph Evolution in Dynamic Social Networks. SocialCom/PASSAT Krzysztof Juszczyszyn, Katarzyna Musial, Marcin Budka
2011	J	`jnl`	On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling. Entropy Marcin Budka, Bogdan Gabrys, Katarzyna Musial
2011	B	`conf`	The Dynamic Structural Patterns of Social Networks Based on Triad Transitions. ASONAM Krzysztof Juszczyszyn, Marcin Budka, Katarzyna Musial
2010	B	`conf`	Correntropy-based density-preserving data sampling as an alternative to standard cross-validation. IJCNN Marcin Budka, Bogdan Gabrys
2010	—	`—`	Physically inspired methods and development of data-driven predictive systems. Marcin Budka
2010	Misc	`conf`	Ridge regression ensemble for toxicity prediction. ICCS Marcin Budka, Bogdan Gabrys
2009	—	`ch.`	Electrostatic Field Classifier for Deficient Data. Computer Recognition Systems 3 Marcin Budka, Bogdan Gabrys