Gholamreza (Reza) Haffari
Gholamreza (Reza) Haffari
Professor and ARC Future Fellow, DSAI Dept, Monash University
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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
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
Iterative back-translation for neural machine translation
CDV Hoang, P Koehn, G Haffari, T Cohn
2nd Workshop on Neural Machine Translation and Generation, 18-24, 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, 1-14, 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
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
Document context neural machine translation with memory networks
S Maruf, G Haffari
arXiv preprint arXiv:1711.03688, 2017
Selective attention for context-aware neural machine translation
S Maruf, AFT Martins, G Haffari
arXiv preprint arXiv:1903.08788, 2019
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
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
Comprehensive molecular portraits of human breast tumours
C Curtis, SP Shah, SF Chin, G Turashvili, OM Rueda, MJ Dunning, ...
Nature 490 (7418), 61-70, 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
A survey on document-level neural machine translation: Methods and evaluation
S Maruf, F Saleh, G Haffari
ACM Computing Surveys (CSUR) 54 (2), 1-36, 2021
Analysis of semi-supervised learning with the yarowsky algorithm
GR Haffari, A Sarkar
arXiv preprint arXiv:1206.5240, 2012
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
Reasoning like human: Hierarchical reinforcement learning for knowledge graph reasoning
G Wan, S Pan, C Gong, C Zhou, G Haffari
International Joint Conference on Artificial Intelligence, 2021
Learning how to actively learn: A deep imitation learning approach
M Liu, W Buntine, G Haffari
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
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Artículos 1–20