Marcin Budka
Marcin Budka
Data Scientist, Bournemouth University
Verified email at
Cited by
Cited by
Metalearning: a survey of trends and technologies
C Lemke, M Budka, B Gabrys
Artificial intelligence review 44, 117-130, 2015
Evidence of humans in North America during the last glacial maximum
MR Bennett, D Bustos, JS Pigati, KB Springer, TM Urban, VT Holliday, ...
Science 373 (6562), 1528-1531, 2021
Finding groups in data: Cluster analysis with ants
U Boryczka, M Budka
Applied Soft Computing 9 (1), 61-70, 2009
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
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
Laetoli’s lost tracks: 3D generated mean shape and missing footprints
MR Bennett, SC Reynolds, SA Morse, M Budka
Scientific reports 6 (1), 21916, 2016
Towards cost-sensitive adaptation: When is it worth updating your predictive model?
I ®liobaitė, M Budka, F Stahl
Neurocomputing 150, 240-249, 2015
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
Walking in mud: Remarkable Pleistocene human trackways from white sands national park (New Mexico)
MR Bennett, D Bustos, D Odess, TM Urban, JN Lallensack, M Budka, ...
Quaternary Science Reviews 249, 106610, 2020
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
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
How to predict social relationships—Physics-inspired approach to link prediction
A Wahid-Ul-Ashraf, M Budka, K Musial
Physica A: Statistical Mechanics and its Applications 523, 1110-1129, 2019
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
Cross-domain meta-learning for time-series forecasting
AR Ali, B Gabrys, M Budka
Procedia Computer Science 126, 9-18, 2018
Creation and growth of online social network: How do social networks evolve?
K Musial, M Budka, K Juszczyszyn
World Wide Web 16, 421-447, 2013
Towards automatic composition of multicomponent predictive systems
M Martin Salvador, M Budka, B Gabrys
Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016
Robust predictive modelling of water pollution using biomarker data
M Budka, B Gabrys, E Ravagnan
Water research 44 (10), 3294-3308, 2010
Ridge regression ensemble for toxicity prediction
M Budka, B Gabrys
Procedia Computer Science 1 (1), 193-201, 2010
Footprints and human evolution: Homeostasis in foot function?
MR Bennett, SC Reynolds, SA Morse, M Budka
Palaeogeography, Palaeoclimatology, Palaeoecology 461, 214-223, 2016
Digital technology for forensic footwear analysis and vertebrate ichnology
MR Bennett, M Budka
Springer, 2018
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