Marcin Budka
Title
Cited by
Cited by
Year
Metalearning: a survey of trends and technologies
C Lemke, M Budka, B Gabrys
Artificial intelligence review 44 (1), 117-130, 2015
2602015
Finding groups in data: Cluster analysis with ants
U Boryczka, M Budka
Applied Soft Computing 9 (1), 61-70, 2009
822009
Link prediction based on subgraph evolution in dynamic social networks
K Juszczyszyn, K Musial, M Budka
2011 IEEE Third International Conference on Privacy, Security, Risk and …, 2011
622011
On accuracy of PDF divergence estimators and their applicability to representative data sampling
M Budka, B Gabrys, K Musial
Entropy 13 (7), 1229-1266, 2011
372011
Towards cost-sensitive adaptation: When is it worth updating your predictive model?
I Žliobaitė, M Budka, F Stahl
Neurocomputing 150, 240-249, 2015
322015
Laetoli’s lost tracks: 3D generated mean shape and missing footprints
MR Bennett, SC Reynolds, SA Morse, M Budka
Scientific reports 6, 21916, 2016
292016
Density-preserving sampling: robust and efficient alternative to cross-validation for error estimation
M Budka, B Gabrys
IEEE transactions on neural networks and learning systems 24 (1), 22-34, 2012
282012
Creation and growth of online social network
K Musial, M Budka, K Juszczyszyn
World Wide Web 16 (4), 421-447, 2013
232013
Robust predictive modelling of water pollution using biomarker data
M Budka, B Gabrys, E Ravagnan
Water research 44 (10), 3294-3308, 2010
232010
Stat-tracks and mediotypes: powerful tools for modern ichnology based on 3D models
M Belvedere, MR Bennett, D Marty, M Budka, SC Reynolds, R Bakirov
PeerJ 6, e4247, 2018
222018
Footprints preserve terminal Pleistocene hunt? Human-sloth interactions in North America
D Bustos, J Jakeway, TM Urban, VT Holliday, B Fenerty, DA Raichlen, ...
Science advances 4 (4), eaar7621, 2018
192018
Ridge regression ensemble for toxicity prediction
M Budka, B Gabrys
Procedia Computer Science 1 (1), 193-201, 2010
192010
Towards automatic composition of multicomponent predictive systems
MM Salvador, M Budka, B Gabrys
International conference on hybrid artificial intelligence systems, 27-39, 2016
182016
Cross-domain meta-learning for time-series forecasting
AR Ali, B Gabrys, M Budka
Procedia Computer Science 126, 9-18, 2018
172018
The dynamic structural patterns of social networks based on triad transitions
K Juszczyszyn, M Budka, K Musial
2011 International Conference on Advances in Social Networks Analysis and …, 2011
172011
Automatic composition and optimization of multicomponent predictive systems with an extended auto-weka
MM Salvador, M Budka, B Gabrys
IEEE Transactions on Automation Science and Engineering 16 (2), 946-959, 2018
16*2018
Footprints and human evolution: Homeostasis in foot function?
MR Bennett, SC Reynolds, SA Morse, M Budka
Palaeogeography, palaeoclimatology, palaeoecology 461, 214-223, 2016
162016
Predicting the evolution of social networks: optimal time window size for increased accuracy
M Budka, K Musial, K Juszczyszyn
2012 International Conference on Privacy, Security, Risk and Trust and 2012 …, 2012
162012
Molecular model of dynamic social network based on e-mail communication
M Budka, K Juszczyszyn, K Musial, A Musial
Social Network Analysis and Mining 3 (3), 543-563, 2013
152013
Correntropy-based density-preserving data sampling as an alternative to standard cross-validation
M Budka, B Gabrys
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010
152010
The system can't perform the operation now. Try again later.
Articles 1–20