| Metalearning: a survey of trends and technologies C Lemke, M Budka, B Gabrys Artificial intelligence review 44, 117-130, 2015 | 500 | 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 | 207 | 2021 |
| 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 | 93 | 2011 |
| Finding groups in data: Cluster analysis with ants U Boryczka, M Budka Applied Soft Computing 9 (1), 61-70, 2009 | 89 | 2009 |
| 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 | 79 | 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 | 53 | 2016 |
| Towards cost-sensitive adaptation: When is it worth updating your predictive model? I Žliobaitė, M Budka, F Stahl Neurocomputing 150, 240-249, 2015 | 52 | 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 | 51 | 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 | 48 | 2020 |
| 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 | 44 | 2019 |
| 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 | 43 | 2012 |
| 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 | 42 | 2018 |
| 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 | 40 | 2018 |
| Cross-domain meta-learning for time-series forecasting AR Ali, B Gabrys, M Budka Procedia Computer Science 126, 9-18, 2018 | 40 | 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 | 33 | 2013 |
| Robust predictive modelling of water pollution using biomarker data M Budka, B Gabrys, E Ravagnan Water research 44 (10), 3294-3308, 2010 | 30 | 2010 |
| Digital technology for forensic footwear analysis and vertebrate ichnology MR Bennett, M Budka Springer International Publishing, 2019 | 29 | 2019 |
| Towards automatic composition of multicomponent predictive systems M Martin Salvador, M Budka, B Gabrys Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016 | 29 | 2016 |
| Ridge regression ensemble for toxicity prediction M Budka, B Gabrys Procedia Computer Science 1 (1), 193-201, 2010 | 29 | 2010 |
| Footprints and human evolution: Homeostasis in foot function? MR Bennett, SC Reynolds, SA Morse, M Budka Palaeogeography, Palaeoclimatology, Palaeoecology 461, 214-223, 2016 | 27 | 2016 |
Matthew BennettBournemouth UniversityVerified email at bournemouth.ac.uk
