Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web. - Richárd Farkas; György Szarvas; Róbert Ormándi (ICDM, 2007)

Variance Minimization Least Squares Support Vector Machines for Time Series Analysis. - Róbert Ormándi (ICDM, 2008)

Hungarian Word-Sense Disambiguated Corpus. - Veronika Vincze; György Szarvas; Attila Almási; Dóra Szauter; Róbert Ormándi; Richárd Farkas; Csaba Hatvani; János Csirik (LREC, 2008)

Web-Based Lemmatisation of Named Entities. - Richárd Farkas; Veronika Vincze; István Nagy T.; Róbert Ormándi; György Szarvas; Attila Almási (TSD, 2008)

Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts. - Richárd Farkas; György Szarvas; István Hegedüs; Attila Almási; Veronika Vincze; Róbert Ormándi; Róbert Busa-Fekete (J. Am. Medical Informatics Assoc., 2009)

Novel Balanced Feature Representation for Wikipedia Vandalism Detection Task - Lab Report for PAN at CLEF 2010. - István Hegedüs; Róbert Ormándi; Richárd Farkas; Márk Jelasity (CLEF (Notebook Papers/LABs/Workshops), 2010)

Overlay Management for Fully Distributed User-Based Collaborative Filtering. - Róbert Ormándi; István Hegedüs; Márk Jelasity (Euro-Par (1), 2010)

Opinion Mining by Transformation-Based Domain Adaptation. - Róbert Ormándi; István Hegedüs; Richárd Farkas (TSD, 2010)

Towards Inferring Ratings from User Behavior in BitTorrent Communities. - Róbert Ormándi; István Hegedüs; Kornel Csernai; Márk Jelasity (WETICE, 2010)

Asynchronous Peer-to-Peer Data Mining with Stochastic Gradient Descent. - Róbert Ormándi; István Hegedüs; Márk Jelasity (Euro-Par (1), 2011)

Efficient P2P Ensemble Learning with Linear Models on Fully Distributed Data - Róbert Ormándi; István Hegedüs; Márk Jelasity (CoRR, 2011)

Peer-to-Peer Multi-class Boosting. - István Hegedüs; Róbert Busa-Fekete; Róbert Ormándi; Márk Jelasity; Balázs Kégl (Euro-Par, 2012)

Gossip-Based Learning under Drifting Concepts in Fully Distributed Networks. - István Hegedüs; Róbert Ormándi; Márk Jelasity (SASO, 2012)

Detecting concept drift in fully distributed environments. - István Hegedüs; Lehel Nyers; Róbert Ormándi (SISY, 2012)

Gossip-based distributed stochastic bandit algorithms. - Balázs Szörényi; Róbert Busa-Fekete; István Hegedüs; Róbert Ormándi; Márk Jelasity; Balázs Kégl (ICML (3), 2013)

Massively Distributed Concept Drift Handling in Large Networks. - István Hegedüs; Róbert Ormándi; Márk Jelasity (Adv. Complex Syst., 2013)

Gossip learning with linear models on fully distributed data. - Róbert Ormándi; István Hegedüs; Márk Jelasity (Concurr. Comput. Pract. Exp., 2013)

Lightning fast asynchronous distributed k-means clustering. - Árpád Berta; István Hegedüs; Róbert Ormándi (ESANN, 2014)

Applications of Support Vector-Based Learning - Róbert Ormándi (2014)

Scalable Multidimensional Hierarchical Bayesian Modeling on Spark. - Róbert Ormándi; Hongxia Yang; Quan Lu (BigMine, 2015)

Score Look-Alike Audiences. - Qiang Ma; Eeshan Wagh; Jiayi Wen; Zhen Xia; Róbert Ormándi; Datong Chen (ICDM Workshops, 2016)

Large scale distributed neural network training through online distillation. - Rohan Anil; Gabriel Pereyra; Alexandre Passos; Róbert Ormándi; George E. Dahl; Geoffrey E. Hinton (ICLR (Poster), 2018)

WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web. - Róbert Ormándi; Mohammad Saleh; Erin Winter; Vinay Rao (CoRR, 2021)