| Large scale distributed neural network training through online distillation R Anil, G Pereyra, A Passos, R Ormandi, GE Dahl, GE Hinton arXiv preprint arXiv:1804.03235, 2018 | 169 | 2018 |
| Gossip learning with linear models on fully distributed data R Ormándi, I Hegedűs, M Jelasity Concurrency and Computation: Practice and Experience 25 (4), 556-571, 2013 | 82 | 2013 |
| Gossip-based distributed stochastic bandit algorithms B Szorenyi, R Busa-Fekete, I Hegedus, R Ormándi, M Jelasity, B Kégl International Conference on Machine Learning, 19-27, 2013 | 57 | 2013 |
| Semi-automated construction of decision rules to predict morbidities from clinical texts R Farkas, G Szarvas, I Hegedűs, A Almási, V Vincze, R Ormándi, ... Journal of the American Medical Informatics Association 16 (4), 601-605, 2009 | 29 | 2009 |
| Asynchronous peer-to-peer data mining with stochastic gradient descent R Ormándi, I Hegedűs, M Jelasity European Conference on Parallel Processing, 528-540, 2011 | 26 | 2011 |
| Overlay management for fully distributed user-based collaborative filtering R Ormándi, I Hegedűs, M Jelasity European Conference on Parallel Processing, 446-457, 2010 | 23 | 2010 |
| Improving a state-of-the-art named entity recognition system using the world wide web R Farkas, G Szarvas, R Ormándi Industrial Conference on Data Mining, 163-172, 2007 | 15 | 2007 |
| Gossip-based learning under drifting concepts in fully distributed networks I Hegedus, R Ormándi, M Jelasity 2012 IEEE Sixth International Conference on Self-Adaptive and Self …, 2012 | 13 | 2012 |
| Towards inferring ratings from user behavior in BitTorrent communities R Ormándi, I Hegedus, K Csernai, M Jelasity 2010 19th IEEE International Workshops on Enabling Technologies …, 2010 | 11 | 2010 |
| Web-based lemmatisation of named entities R Farkas, V Vincze, I Nagy, R Ormándi, G Szarvas, A Almási International Conference on Text, Speech and Dialogue, 53-60, 2008 | 10 | 2008 |
| Score Look-Alike Audiences Q Ma, E Wagh, J Wen, Z Xia, R Ormandi, D Chen 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 9 | 2016 |
| Detecting concept drift in fully distributed environments I Hegedűs, L Nyers, R Ormándi 2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and …, 2012 | 9 | 2012 |
| Hungarian Word-Sense Disambiguated Corpus. V Vincze, G Szarvas, A Almási, D Szauter, R Ormándi, R Farkas, ... LREC, 2008 | 9 | 2008 |
| Lightning fast asynchronous distributed k-means clustering Á Berta, I Hegedűs, R Ormándi UCL, 2014 | 7 | 2014 |
| Variance minimization least squares support vector machines for time series analysis R Ormándi 2008 Eighth IEEE International Conference on Data Mining, 965-970, 2008 | 7 | 2008 |
| Scalable multidimensional hierarchical bayesian modeling on spark R Ormandi, H Yang, Q Lu Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms …, 2015 | 6 | 2015 |
| Peer-to-peer multi-class boosting I Hegedűs, R Busa-Fekete, R Ormándi, M Jelasity, B Kégl European Conference on Parallel Processing, 389-400, 2012 | 6 | 2012 |
| Massively distributed concept drift handling in large networks I Hegedűs, R Ormándi, M Jelasity Advances in Complex Systems 16 (04n05), 1350021, 2013 | 5 | 2013 |
| Estimating rates of rare events through a multidimensional dynamic hierarchical Bayesian framework H Yang, R Ormandi, HY Tsao, Q Lu Applied Stochastic Models in Business and Industry 32 (3), 340-353, 2016 | 4 | 2016 |
| Systems and methods for establishing and utilizing a hierarchical Bayesian framework for ad click through rate prediction H Yang, R Ormandi, T Han-Yun, Q Lu US Patent 10,559,004, 2020 | 3 | 2020 |
István HegedűsUniversity of SzegedVerified email at inf.u-szeged.hu
