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ORCIDRóbert Ormándi
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- affiliation: University of Szeged, Hungary
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2020 – today
- 2021
[i3]Róbert Ormándi, Mohammad Saleh, Erin Winter, Vinay Rao:
WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web. CoRR abs/2102.09681 (2021)
2010 – 2019
- 2018
- [c17]Rohan Anil, Gabriel Pereyra, Alexandre Passos, Róbert Ormándi, George E. Dahl, Geoffrey E. Hinton:
Large scale distributed neural network training through online distillation. ICLR (Poster) 2018 - [i2]Rohan Anil, Gabriel Pereyra, Alexandre Passos, Róbert Ormándi, George E. Dahl, Geoffrey E. Hinton:
Large scale distributed neural network training through online distillation. CoRR abs/1804.03235 (2018) - 2016
- [c16]Qiang Ma, Eeshan Wagh, Jiayi Wen, Zhen Xia, Róbert Ormándi, Datong Chen:
Score Look-Alike Audiences. ICDM Workshops 2016: 647-654 - 2015
- [c15]Róbert Ormándi, Hongxia Yang, Quan Lu:
Scalable Multidimensional Hierarchical Bayesian Modeling on Spark. BigMine 2015: 33-48 - 2014
- [b1]Róbert Ormándi:
Applications of Support Vector-Based Learning. University of Szeged, Hungary, 2014 - [c14]Árpád Berta, István Hegedüs, Róbert Ormándi:
Lightning fast asynchronous distributed k-means clustering. ESANN 2014 - 2013
- [j3]István Hegedüs, Róbert Ormándi, Márk Jelasity
:
Massively Distributed Concept Drift Handling in Large Networks. Adv. Complex Syst. 16(4-5) (2013) - [j2]Róbert Ormándi, István Hegedüs, Márk Jelasity:
Gossip learning with linear models on fully distributed data. Concurr. Comput. Pract. Exp. 25(4): 556-571 (2013) - [c13]Balázs Szörényi, Róbert Busa-Fekete, István Hegedüs, Róbert Ormándi, Márk Jelasity, Balázs Kégl:
Gossip-based distributed stochastic bandit algorithms. ICML (3) 2013: 19-27 - 2012
- [c12]István Hegedüs, Róbert Busa-Fekete, Róbert Ormándi, Márk Jelasity, Balázs Kégl:
Peer-to-Peer Multi-class Boosting. Euro-Par 2012: 389-400 - [c11]István Hegedüs, Róbert Ormándi, Márk Jelasity:
Gossip-Based Learning under Drifting Concepts in Fully Distributed Networks. SASO 2012: 79-88 - [c10]István Hegedüs, Lehel Nyers, Róbert Ormándi:
Detecting concept drift in fully distributed environments. SISY 2012: 183-188 - 2011
- [c9]Róbert Ormándi, István Hegedüs, Márk Jelasity:
Asynchronous Peer-to-Peer Data Mining with Stochastic Gradient Descent. Euro-Par (1) 2011: 528-540 - [i1]Róbert Ormándi, István Hegedüs, Márk Jelasity:
Efficient P2P Ensemble Learning with Linear Models on Fully Distributed Data. CoRR abs/1109.1396 (2011) - 2010
- [c8]István Hegedüs, Róbert Ormándi, Richárd Farkas, Márk Jelasity:
Novel Balanced Feature Representation for Wikipedia Vandalism Detection Task - Lab Report for PAN at CLEF 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c7]Róbert Ormándi, István Hegedüs, Márk Jelasity:
Overlay Management for Fully Distributed User-Based Collaborative Filtering. Euro-Par (1) 2010: 446-457 - [c6]Róbert Ormándi, István Hegedüs, Richárd Farkas:
Opinion Mining by Transformation-Based Domain Adaptation. TSD 2010: 157-164 - [c5]Róbert Ormándi, István Hegedüs, Kornel Csernai, Márk Jelasity:
Towards Inferring Ratings from User Behavior in BitTorrent Communities. WETICE 2010: 217-222
2000 – 2009
- 2009
- [j1]Richárd Farkas, György Szarvas, István Hegedüs, Attila Almási, Veronika Vincze, Róbert Ormándi, Róbert Busa-Fekete:
Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts. J. Am. Medical Informatics Assoc. 16(4): 601-605 (2009) - 2008
- [c4]Róbert Ormándi:
Variance Minimization Least Squares Support Vector Machines for Time Series Analysis. ICDM 2008: 965-970 - [c3]Veronika Vincze, György Szarvas, Attila Almási, Dóra Szauter, Róbert Ormándi, Richárd Farkas, Csaba Hatvani, János Csirik:
Hungarian Word-Sense Disambiguated Corpus. LREC 2008 - [c2]Richárd Farkas, Veronika Vincze, István Nagy T., Róbert Ormándi, György Szarvas, Attila Almási:
Web-Based Lemmatisation of Named Entities. TSD 2008: 53-60 - 2007
- [c1]Richárd Farkas, György Szarvas, Róbert Ormándi:
Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web. ICDM 2007: 163-172
Coauthor Index
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