Marcin Budka

Katarzyna Musial, Krzysztof Juszczyszyn, Marcin Budka, 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

Newton's Gravitational Law for Link Prediction in Social Networks

Katarzyna Musial, Marcin Budka, Akanda Wahid-Ul-Ashraf, 2017, COMPLEX NETWORKS.

Do readers use character information when programming return-sweep saccades?

Marcin Budka, Martin R. Vasilev, Victoria I. Adedeji, 2019, Vision Research.

Workshop on Social Network Mining and Analysis co-located with The 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Marcin Budka, Katarzyna Musial-Gabrys, Krzysztof Juszczyszyn, 2011 .

Simulation and Augmentation of Social Networks for Building Deep Learning Models pdf

Katarzyna Musial, Marcin Budka, Akanda Wahid-Ul-Ashraf, 2019, ArXiv.

Clustering as an Example of Optimizing Arbitrarily Chosen Objective Functions

Marcin Budka, M. Budka, 2013, Advanced Methods for Computational Collective Intelligence.

Survey of ETA prediction methods in public transport networks pdf

Marcin Budka, Thilo Reich, David Hulbert, 2019, ArXiv.

Metalearning: a survey of trends and technologies

Bogdan Gabrys, Marcin Budka, Christiane Lemke, 2013, Artificial Intelligence Review.

Data stream synchronization for defining meaningful fMRI classification problems

Marcin Budka, M. Budka, 2014, Appl. Soft Comput..

Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry

Bogdan Gabrys, Marcin Budka, Manuel Martin Salvador, 2016, AutoML@ICML.

Stat-tracks and mediotypes: powerful tools for modern ichnology based on 3D models

Marcin Budka, Daniel Marty, Rashid Bakirov, 2018, PeerJ.

Ridge regression ensemble for toxicity prediction

Bogdan Gabrys, Marcin Budka, B. Gabrys, 2010, ICCS.

Can We Identify Non-Stationary Dynamics of Trial-to-Trial Variability?

Marcin Budka, Emili Balaguer-Ballester, Alejandro Tabas-Diaz, 2014, PloS one.

Recording Tracks: Methods and Techniques

Marcin Budka, Matthew R. Bennett, M. Bennett, 2018, Digital Technology for Forensic Footwear Analysis and Vertebrate Ichnology.

Towards Automatic Composition of Multicomponent Predictive Systems

Bogdan Gabrys, Marcin Budka, Manuel Martin Salvador, 2016, HAIS.

Simulating the Information Diffusion Process in Complex Networks Using Push and Pull Strategies

Katarzyna Musial, Dariusz Król, Marcin Budka, 2014, ENIC.

High-Performance Music Information Retrieval System for Song Genre Classification

Marcin Budka, Amanda Schierz, 2011, ISMIS.

Modelling Multi-Component Predictive Systems as Petri Nets

Bogdan Gabrys, Marcin Budka, Manuel Martin Salvador, 2017 .

Correntropy-based density-preserving data sampling as an alternative to standard cross-validation

Bogdan Gabrys, Marcin Budka, B. Gabrys, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously

Bogdan Gabrys, Abbas Raza Ali, Marcin Budka, 2019, PRICAI.

Creation and growth of online social network

Katarzyna Musial, Krzysztof Juszczyszyn, Marcin Budka, 2013, World Wide Web.

A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems pdf

Bogdan Gabrys, Abbas Raza Ali, Marcin Budka, 2020, ArXiv.

Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA

Bogdan Gabrys, Marcin Budka, Manuel Martin Salvador, 2016, IEEE Transactions on Automation Science and Engineering.

Proceedings - 2014 European Network Intelligence Conference, ENIC 2014

Dariusz Król, Marcin Budka, Katarzyna Musial-Gabrys, 2014 .

Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation

Bogdan Gabrys, Marcin Budka, B. Gabrys, 2013, IEEE Transactions on Neural Networks and Learning Systems.

From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors

Athanasios Tsakonas, Bogdan Gabrys, Marcin Budka, 2014, IDA.

Introduction to DigTrace

Marcin Budka, Matthew R. Bennett, 2019 .

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

Katarzyna Musial, Krzysztof Juszczyszyn, Marcin Budka, 2013, Social Network Analysis and Mining.

Winners’ notes. Using Multi-Resolution Clustering for Music Genre Identification

Marcin Budka, Edward Apeh, Amanda C. Schierz, 2011 .

Electrostatic field framework for supervised and semi-supervised learning from incomplete data

Bogdan Gabrys, Marcin Budka, B. Gabrys, 2011, Natural Computing.

Automatic Transport Network Matching Using Deep Learning

Marcin Budka, Manuel Martin Salvador, Tom Quay, 2018 .

Predicting the Evolution of Social Networks: Optimal Time Window Size for Increased Accuracy

Katarzyna Musial, Krzysztof Juszczyszyn, Marcin Budka, 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

Data stream synchronisation for defining meaningfulfMRI classification problems

Marcin Budka, 2014 .

Automatic composition and optimisation of multicomponent predictive systems pdf

Bogdan Gabrys, Marcin Budka, Manuel Martin Salvador, 2016, ArXiv.

A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks

Katarzyna Musial, Krzysztof Juszczyszyn, Jakub M. Tomczak, 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling

Katarzyna Musial, Bogdan Gabrys, Marcin Budka, 2011, Entropy.

On analysis of complex network dynamics – changes in local topology

Katarzyna Musial, Krzysztof Juszczyszyn, Marcin Budka, 2011 .

NetSim - The framework for complex network generator

Katarzyna Musial, Marcin Budka, Akanda Wahid-Ul-Ashraf, 2018, KES.

Empirical Identification of Non-stationary Dynamics in Time Series of Recordings

Marcin Budka, Emili Balaguer-Ballester, Alejandro Tabas-Diaz, 2014, ICAIS.

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

Marcin Budka, Indre Zliobaite, Frederic T. Stahl, 2015, Neurocomputing.

Data Analysis and Techniques

Marcin Budka, Matthew R. Bennett, M. Bennett, 2018, Digital Technology for Forensic Footwear Analysis and Vertebrate Ichnology.