Gholamreza (Reza) Haffari

Cited by

	All	Since 2016
Citations	8471	5858
h-index	27	24
i10-index	59	50

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200920102011201220132014201520162017201820192020202151 42 54 235 655 701 786 851 942 1037 1316 1514 189

Co-authors

Trevor CohnSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Anoop SarkarProfessor of Computing Science, Simon Fraser UniversityVerified email at sfu.ca
Ingrid ZukermanProfessor of Information Technology, Monash UniversityVerified email at monash.edu
Wray BuntineProfessor, MonashVerified email at monash.edu
Dr. Pushpak BhattacharyyaProfessor of Computer Science and Engineering, IIT BombayVerified email at cse.iitb.ac.in
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoVerified email at cs.cmu.edu
Ganesh RamakrishnanProfessor, Department of Computer Science and Engineering, Indian Institute of Technology BombayVerified email at cse.iitb.ac.in
Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Jacob EisensteinGoogle ResearchVerified email at google.com
Yangfeng JiComputer Science, University of VirginiaVerified email at virginia.edu
Karin VerspoorDean, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Mohammad NorouziStaff Scientist, Google BrainVerified email at google.com
Yang WangComputer Science, University of ManitobaVerified email at cs.umanitoba.ca
Greg MoriResearch Director, Borealis AI; Professor, School of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Ann E NicholsonProfessor, Monash UniversityVerified email at monash.edu
Mark J. CarmanPolitecnico di MilanoVerified email at polimi.it
Yuan-Fang LiMonash UniversityVerified email at monash.edu
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Hamidreza ChitsazWaymoVerified email at algorithmicslab.org

Gholamreza (Reza) Haffari

Associate Professor, Faculty of Information Technology, Monash University

Verified email at monash.edu - Homepage

Natural Language Processing Machine Learning Artificial Intelligence


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The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups C Curtis, SP Shah, SF Chin, G Turashvili, OM Rueda, MJ Dunning, ... Nature 486 (7403), 346-352, 2012	4014	2012
The clonal and mutational evolution spectrum of primary triple-negative breast cancers SP Shah, A Roth, R Goya, A Oloumi, G Ha, Y Zhao, G Turashvili, J Ding, ... Nature 486 (7403), 395-399, 2012	1740	2012
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer A Bashashati, G Haffari, J Ding, G Ha, K Lui, J Rosner, DG Huntsman, ... Genome biology 13 (12), 1-14, 2012	172	2012
Graph-to-sequence learning using gated graph neural networks D Beck, G Haffari, T Cohn arXiv preprint arXiv:1806.09835, 2018	143	2018
Feature-based classifiers for somatic mutation detection in tumour–normal paired sequencing data J Ding, A Bashashati, A Roth, A Oloumi, K Tse, T Zeng, G Haffari, M Hirst, ... Bioinformatics 28 (2), 167-175, 2012	141	2012
Incorporating structural alignment biases into an attentional neural translation model T Cohn, CDV Hoang, E Vymolova, K Yao, C Dyer, G Haffari arXiv preprint arXiv:1601.01085, 2016	140	2016
Iterative back-translation for neural machine translation VCD Hoang, P Koehn, G Haffari, T Cohn Proceedings of the 2nd Workshop on Neural Machine Translation and Generation …, 2018	124	2018
Transductive learning for statistical machine translation N Ueffing, G Haffari, A Sarkar Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007	122	2007
A latent variable recurrent neural network for discourse relation language models Y Ji, G Haffari, J Eisenstein arXiv preprint arXiv:1603.01913, 2016	119	2016
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework J Song, F Li, K Takemoto, G Haffari, T Akutsu, KC Chou, GI Webb Journal of theoretical biology 443, 125-137, 2018	105	2018
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy J Song, F Li, A Leier, TT Marquez-Lago, T Akutsu, G Haffari, KC Chou, ... Bioinformatics 34 (4), 684-687, 2018	105	2018
Document context neural machine translation with memory networks S Maruf, G Haffari arXiv preprint arXiv:1711.03688, 2017	95	2017
Analysis of semi-supervised learning with the yarowsky algorithm GR Haffari, A Sarkar arXiv preprint arXiv:1206.5240, 2012	88	2012
Active learning for statistical phrase-based machine translation G Haffari, M Roy, A Sarkar Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009	87	2009
Semi-supervised model adaptation for statistical machine translation N Ueffing, G Haffari, A Sarkar Machine Translation 21 (2), 77-94, 2007	63	2007
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods F Li, Y Wang, C Li, TT Marquez-Lago, A Leier, ND Rawlings, G Haffari, ... Briefings in bioinformatics 20 (6), 2150-2166, 2019	56	2019
Selective attention for context-aware neural machine translation S Maruf, AFT Martins, G Haffari arXiv preprint arXiv:1903.08788, 2019	55	2019
Graph propagation for paraphrasing out-of-vocabulary words in statistical machine translation M Razmara, M Siahbani, R Haffari, A Sarkar Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013	45	2013
Automated analysis of multidimensional flow cytometry data improves diagnostic accuracy between mantle cell lymphoma and small lymphocytic lymphoma H Zare, A Bashashati, R Kridel, N Aghaeepour, G Haffari, JM Connors, ... American journal of clinical pathology 137 (1), 75-85, 2012	43	2012
Word representation models for morphologically rich languages in neural machine translation E Vylomova, T Cohn, X He, G Haffari arXiv preprint arXiv:1606.04217, 2016	38	2016

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