Marcin Budka

According to our database1, Marcin Budka authored at least 46 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Dual input stream transformer for eye-tracking line assignment.
CoRR, 2023

CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition.
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
Sexing Caucasian 2D footprints using convolutional neural networks.
CoRR, 2021

Deep multilabel CNN for forensic footwear impression descriptor identification.
Appl. Soft Comput., 2021

An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease.
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

Simulation and Augmentation of Social Networks for Building Deep Learning Models.
CoRR, 2019

Survey of ETA prediction methods in public transport networks.
CoRR, 2019

A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018
Enabling Responsible Online Gambling by Real-time Persuasive Technologies.
Complex Syst. Informatics Model. Q., 2018

NetSim - The framework for complex network generator.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Cross-domain Meta-learning for Time-series Forecasting.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

2017
Newton's Gravitational Law for Link Prediction in Social Networks.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Automatic composition and optimisation of multicomponent predictive systems.
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

Towards Automatic Composition of Multicomponent Predictive Systems.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2015
Scaling Beyond One Rack and Sizing of Hadoop Platform.
Scalable Comput. Pract. Exp., 2015

Towards cost-sensitive adaptation: When is it worth updating your predictive model?
Neurocomputing, 2015

Metalearning: a survey of trends and technologies.
Artif. Intell. Rev., 2015

2014
Data stream synchronization for defining meaningful fMRI classification problems.
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

Empirical Identification of Non-stationary Dynamics in Time Series of Recordings.
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
Clustering as an Example of Optimizing Arbitrarily Chosen Objective Functions.
Proceedings of the Advanced Methods for Computational Collective Intelligence, 2013

Creation and growth of online social network - How do social networks evolve?
World Wide Web, 2013

Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2013

Molecular model of dynamic social network based on e-mail communication.
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

Link Prediction Based on Subgraph Evolution in Dynamic Social Networks.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

High-Performance Music Information Retrieval System for Song Genre Classification.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

The Dynamic Structural Patterns of Social Networks Based on Triad Transitions.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

2010
Physically inspired methods and development of data-driven predictive systems.
PhD thesis, 2010

Ridge regression ensemble for toxicity prediction.
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
Electrostatic Field Classifier for Deficient Data.
Proceedings of the Computer Recognition Systems 3, 2009


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