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
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), R124, 2012
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
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
Transductive learning for statistical machine translation
N Ueffing, G Haffari, A Sarkar
Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007
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
Analysis of semi-supervised learning with the yarowsky algorithm
GR Haffari, A Sarkar
arXiv preprint arXiv:1206.5240, 2012
A latent variable recurrent neural network for discourse relation language models
Y Ji, G Haffari, J Eisenstein
arXiv preprint arXiv:1603.01913, 2016
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
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
Graph-to-sequence learning using gated graph neural networks
D Beck, G Haffari, T Cohn
arXiv preprint arXiv:1806.09835, 2018
Semi-supervised model adaptation for statistical machine translation
N Ueffing, G Haffari, A Sarkar
Machine Translation 21 (2), 77-94, 2007
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
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
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
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
Document context neural machine translation with memory networks
S Maruf, G Haffari
arXiv preprint arXiv:1711.03688, 2017
Modeling the temporal dynamics of social rating networks using bidirectional effects of social relations and rating patterns
M Jamali, G Haffari, M Ester
Proceedings of the 20th international conference on World wide web, 527-536, 2011
Active learning for multilingual statistical machine translation
G Haffari, A Sarkar
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
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