Bayesian module identification from multiple noisy networks. - Siamak Zamani Dadaneh; Xiaoning Qian (EURASIP J. Bioinform. Syst. Biol., 2016)

Sequential Sampling for Optimal Bayesian Classification of Sequencing Count Data. - Ariana Broumand; Siamak Zamani Dadaneh (ACSSC, 2018)

Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data. - Ehsan Hajiramezanali; Siamak Zamani Dadaneh; Alireza Karbalayghareh; Mingyuan Zhou; Xiaoning Qian (NeurIPS, 2018)

Covariate-dependent negative binomial factor analysis of RNA sequencing data. - Siamak Zamani Dadaneh; Mingyuan Zhou; Xiaoning Qian (Bioinform., 2018)

Bayesian negative binomial regression for differential expression with confounding factors. - Siamak Zamani Dadaneh; Mingyuan Zhou; Xiaoning Qian (Bioinform., 2018)

Optimal Bayesian Classification With Missing Values. - Siamak Zamani Dadaneh; Edward R. Dougherty; Xiaoning Qian (IEEE Trans. Signal Process., 2018)

Optimal clustering with missing values. - Shahin Boluki; Siamak Zamani Dadaneh; Xiaoning Qian; Edward R. Dougherty (BMC Bioinform., 2019)

Learnable Bernoulli Dropout for Bayesian Deep Learning. - Shahin Boluki; Randy Ardywibowo; Siamak Zamani Dadaneh; Mingyuan Zhou; Xiaoning Qian (AISTATS, 2020)

Arsm Gradient Estimator for Supervised Learning to Rank. - Siamak Zamani Dadaneh; Shahin Boluki; Mingyuan Zhou; Xiaoning Qian (ICASSP, 2020)

Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. - Siamak Zamani Dadaneh; Shahin Boluki; Mingzhang Yin; Mingyuan Zhou; Xiaoning Qian (UAI, 2020)

Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification. - Shahin Boluki; Siamak Zamani Dadaneh; Edward R. Dougherty; Xiaoning Qian (IEEE Trans. Artif. Intell., 2024)