Róbert Ormándi

发表

Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts

István Hegedüs, Veronika Vincze, Róbert Busa-Fekete, 2009, J. Am. Medical Informatics Assoc..

Novel Balanced Feature Representation for Wikipedia Vandalism Detection Task - Lab Report for PAN at CLEF 2010

István Hegedüs, Márk Jelasity, Richárd Farkas, 2010, CLEF.

Scalable Multidimensional Hierarchical Bayesian Modeling on Spark

Hongxia Yang, Quan Lu, Róbert Ormándi, 2015, BigMine.

Peer-to-Peer Multi-class Boosting

István Hegedüs, Márk Jelasity, Balázs Kégl, 2012, Euro-Par.

Hungarian Word-Sense Disambiguated Corpus

János Csirik, Veronika Vincze, Attila Almási, 2008, LREC.

Variance Minimization Least Squares Support Vector Machines for Time Series Analysis

Róbert Ormándi, Róbert Ormándi, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Gossip-based distributed stochastic bandit algorithms

István Hegedüs, Márk Jelasity, Balázs Kégl, 2013, ICML.

Massively Distributed Concept Drift Handling in Large Networks

István Hegedüs, Márk Jelasity, Róbert Ormándi, 2013, Adv. Complex Syst..

Gossip-Based Learning under Drifting Concepts in Fully Distributed Networks

István Hegedüs, Márk Jelasity, Róbert Ormándi, 2012, 2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems.

Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web

Richárd Farkas, György Szarvas, Róbert Ormándi, 2007, ICDM.

Web-Based Lemmatisation of Named Entities

Veronika Vincze, Attila Almási, T. IstvánNagy, 2008, TSD.

Lightning fast asynchronous distributed k-means clustering

István Hegedüs, Árpád Berta, Róbert Ormándi, 2014, ESANN.

Gossip learning with linear models on fully distributed data

István Hegedüs, Márk Jelasity, Róbert Ormándi, 2011, Concurr. Comput. Pract. Exp..

Overlay Management for Fully Distributed User-Based Collaborative Filtering

István Hegedüs, Márk Jelasity, Róbert Ormándi, 2010, Euro-Par.

Efficient P2P Ensemble Learning with Linear Models on Fully Distributed Data pdf

István Hegedüs, Márk Jelasity, Róbert Ormándi, 2011, ArXiv.

Opinion Mining by Transformation-Based Domain Adaptation

István Hegedüs, Richárd Farkas, Róbert Ormándi, 2010, TSD.

Asynchronous Peer-to-Peer Data Mining with Stochastic Gradient Descent

István Hegedüs, Márk Jelasity, Róbert Ormándi, 2011, Euro-Par.

Detecting concept drift in fully distributed environments

István Hegedüs, Róbert Ormándi, Lehel Nyers, 2012, 2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics.

Score Look-Alike Audiences

Datong Chen, Qiang Ma, Zhen Xia, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Towards Inferring Ratings from User Behavior in BitTorrent Communities

István Hegedüs, Márk Jelasity, Róbert Ormándi, 2010, 2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises.

Rejoinder to 'Estimating rates of rare events through a multidimensional dynamic hierarchical Bayesian framework'

Hongxia Yang, Quan Lu, Róbert Ormándi, 2016 .

Large scale distributed neural network training through online distillation pdf

Geoffrey E. Hinton, George E. Dahl, Alexandre Passos, 2018, ICLR.

Estimating rates of rare events through a multidimensional dynamic hierarchical Bayesian framework

Hongxia Yang, Quan Lu, Róbert Ormándi, 2016 .

Simple approaches to disease classification based on clinical patient records

Veronika Vincze, Róbert Busa-Fekete, Richárd Farkas, 2008 .