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Mohammad Shekaramiz

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

8

Venues

1

Active years

2014–2019

Best venue rank

National

Where they publish

Papers

8 indexed papers, newest first.

YearVenueTitleAuthors
2019ACSSCC-SBL(VB): A Variational Bayes Algorithm for Sparse Recovery of Signals with Unknown Clustering Pattern.Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2019ACSSCExploration Versus Data Refinement Via Multiple Mobile Sensors Based On Epistemic Utility Controller.Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2018ACSSCSparse Recovery Via Variational Bayesian Inference: Comparing Bernoullis-Gaussians-Inverse Gamma And Gaussians-Inverse Gammas Modeling.Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2017ACSSCSparse Bayesian learning using variational Bayes inference based on a greedy criterion.Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2017ACSSCExploration and data refinement via multiple mobile sensors based on Gaussian processes.Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2016ACSSCSparse Bayesian learning boosted by partial erroneous support knowledge.Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2015ACSSCOn the block-sparse solution of single measurement vectors.Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2014ACSSCHierarchical Bayesian approach for jointly-sparse solution of multiple-measurement vectors.Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther