Ehsan Hajiramezanali
Ehsan Hajiramezanali
AI Research Scientist, AstraZeneca
Verified email at astrazeneca.com - Homepage
Title
Cited by
Cited by
Year
Variational Graph Recurrent Neural Networks
E Hajiramezanali, A Hasanzadeh, N Duffield, KR Narayanan, M Zhou, ...
Advances in Neural Information Processing Systems (NeurIPS2019), 2019
322019
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
E Hajiramezanali, SZ Dadaneh, A Karbalayghareh, M Zhou, X Qian
Advances in Neural Information Processing Systems (NeurIPS2018), 9115-9124, 2018
292018
ASXL1 interacts with the cohesin complex to maintain chromatid separation and gene expression for normal hematopoiesis
Z Li, P Zhang, A Yan, Z Guo, Y Ban, J Li, S Chen, H Yang, Y He, J Li, ...
Science advances 3 (1), e1601602, 2017
272017
Semi-Implicit Graph Variational Auto-Encoders
A Hasanzadeh, E Hajiramezanali, N Duffield, KR Narayanan, M Zhou, ...
Advances in Neural Information Processing Systems (NeurIPS2019), 2019
232019
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty
E Hajiramezanali, M Imani, UM Braga-Neto, X Qian, ER Dougherty
BMC genomics 20, 2018
182018
Denoising based on multivariate stochastic volatility modeling of multiwavelet coefficients
SH Fouladi, M Hajiramezanali, H Amindavar, JA Ritcey, P Arabshahi
IEEE transactions on signal processing 61 (22), 5578-5589, 2013
112013
Differential expression analysis of dynamical sequencing count data with a gamma markov chain
E Hajiramezanali, SZ Dadaneh, P de Figueiredo, SH Sze, M Zhou, X Qian
arXiv preprint arXiv:1803.02527, 2018
102018
Bayesian Graph Neural Networks with Adaptive Connection Sampling
A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ...
International Conference on Machine Learning (ICML), 2020
72020
Stochastic differential equations for modeling of high maneuvering target tracking
M Hajiramezanali, SH Fouladi, JA Ritcey, H Amindavar
ETRI Journal 35 (5), 849-858, 2013
52013
Maneuvering target tracking based on SDE driven by GARCH volatility
M Hajiramezanali, H Amindavar
2012 IEEE Statistical Signal Processing Workshop (SSP), 764-767, 2012
52012
Maneuvering target tracking based on combined stochastic differential equations and GARCH process
M Hajiramezanali, H Amindavar
2012 11th International Conference on Information Science, Signal Processing …, 2012
52012
Design and implementation of ANC algorithm for engine noise reduction inside an automotive cabin using TMS320C5510
MEHR Ali, MA Attari
2011 19th Iranian Conference on Electrical Engineering, 1-6, 2011
42011
Semi-Implicit Stochastic Recurrent Neural Networks
E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, M Zhou, ...
2020 International Conference on Acoustics, Speech, and Signal Processing …, 2020
12020
SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data
S Niyakan, E Hajiramezanali, S Boluki, SZ Dadaneh, X Qian
arXiv preprint arXiv:2104.01512, 2021
2021
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
A Hasanzadeh, E Hajiramezanali, N Duffield, K Narayanan, M Zhou, ...
Advances in neural information processing systems 33, 2020
2020
Variational Graph Recurrent Neural Networks
A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ...
Advances in neural information processing systems 32, 2019
2019
BayReL: Bayesian Relational Learning for Multi-omics Data Integration: Supplementary Materials
E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, X Qian
Variational Graph Recurrent Neural Networks: Supplementary Material
E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, M Zhou, ...
Semi-Implicit Graph Variational Auto-Encoders: Supplementary Material
A Hasanzadeh, E Hajiramezanali, N Duffield, K Narayanan, M Zhou, ...
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Articles 1–19