Siamak Zamani Dadaneh
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Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
E Hajiramezanali, S Zamani Dadaneh, A Karbalayghareh, M Zhou, ...
Advances in Neural Information Processing Systems 31, 2018
Learnable Bernoulli dropout for Bayesian deep learning
S Boluki, R Ardywibowo, SZ Dadaneh, M Zhou, X Qian
International Conference on Artificial Intelligence and Statistics, 3905-3916, 2020
BNP-Seq: Bayesian nonparametric differential expression analysis of sequencing count data
SZ Dadaneh, X Qian, M Zhou
Journal of the American Statistical Association 113 (521), 81-94, 2018
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process
D Li, S Zamani, J Zhang, P Li
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Optimal clustering with missing values
S Boluki, S Zamani Dadaneh, X Qian, ER Dougherty
BMC bioinformatics 20, 1-10, 2019
Bayesian negative binomial regression for differential expression with confounding factors
SZ Dadaneh, M Zhou, X Qian
Bioinformatics 34 (19), 3349-3356, 2018
Pairwise supervised hashing with Bernoulli variational auto-encoder and self-control gradient estimator
SZ Dadaneh, S Boluki, M Yin, M Zhou, X Qian
Conference on Uncertainty in Artificial Intelligence, 540-549, 2020
Optimal Bayesian Classification With Missing Values
S Zamani Dadaneh, ER Dougherty, X Qian
IEEE Transactions on Signal Processing 66 (16), 4182-4192, 2018
Bayesian module identification from multiple noisy networks
S Zamani Dadaneh, X Qian
EURASIP Journal on Bioinformatics and Systems Biology 2016, 1-11, 2016
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
Bayesian gamma-negative binomial modeling of single-cell RNA sequencing data
SZ Dadaneh, P de Figueiredo, SH Sze, M Zhou, X Qian
BMC genomics 21, 1-10, 2020
Covariate-dependent negative binomial factor analysis of RNA sequencing data
S Zamani Dadaneh, M Zhou, X Qian
Bioinformatics 34 (13), i61–i69, 2018
Arsm gradient estimator for supervised learning to rank
SZ Dadaneh, S Boluki, M Zhou, X Qian
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
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
Towards deeper understanding of variational auto-encoders for binary collaborative filtering
S Zamany, D Li, H Fei, P Li
Proceedings of the 2022 ACM SIGIR International Conference on Theory of …, 2022
Sequential sampling for optimal bayesian classification of sequencing count data
A Broumand, SZ Dadaneh
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1357-1361, 2018
Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models with Uncertainty Quantification
S Boluki, SZ Dadaneh, ER Dougherty, X Qian
IEEE Transactions on Artificial Intelligence, 2023
Integration of knowledge graph embedding into topic modeling with hierarchical dirichlet process
SZD Dingcheng Li, Jingyuan Zhang, Ping Li
US Patent App. 16/427,225, 2020
ARSM Gradient Estimator for Supervised Learning to Rank
S Zamani Dadaneh, S Boluki, M Zhou, X Qian
arXiv e-prints, arXiv: 1911.00465, 2019
Bayesian Analysis of High-Throughput Sequencing Data
S Zamani Dadaneh
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