Gholamreza (Reza) Haffari
Gholamreza (Reza) Haffari
Associate Professor, Faculty of Information Technology, Monash University
Verified email at - Homepage
Cited by
Cited by
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
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
Graph-to-sequence learning using gated graph neural networks
D Beck, G Haffari, T Cohn
arXiv preprint arXiv:1806.09835, 2018
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
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
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
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
A latent variable recurrent neural network for discourse relation language models
Y Ji, G Haffari, J Eisenstein
arXiv preprint arXiv:1603.01913, 2016
Transductive learning for statistical machine translation
N Ueffing, G Haffari, A Sarkar
Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007
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
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
Document context neural machine translation with memory networks
S Maruf, G Haffari
arXiv preprint arXiv:1711.03688, 2017
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
Analysis of semi-supervised learning with the yarowsky algorithm
GR Haffari, A Sarkar
arXiv preprint arXiv:1206.5240, 2012
Selective attention for context-aware neural machine translation
S Maruf, AFT Martins, G Haffari
arXiv preprint arXiv:1903.08788, 2019
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
Semi-supervised model adaptation for statistical machine translation
N Ueffing, G Haffari, A Sarkar
Machine Translation 21 (2), 77-94, 2007
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
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
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
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