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Demba E. Ba

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedEstimating a Separably-Markov Random Field (SMuRF) from Binary Observations

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2019

Convolutional Dictionary Learning in Hierarchical Networks

Javier Zazo, Bahareh Tolooshams, Demba Ba

Filter banks are a popular tool for the analysis of piecewise smooth signals such as natural images. Motivated by the empirically observed properties of scale and detail coefficien…

stat.ME2017

Wavelet Shrinkage and Thresholding based Robust Classification for Brain Computer Interface

Taposh Banerjee, John Choi, Bijan Pesaran +2

A macaque monkey is trained to perform two different kinds of tasks, memory aided and visually aided. In each task, the monkey saccades to eight possible target locations. A classi…

stat.ME2017

Classification of Local Field Potentials using Gaussian Sequence Model

Taposh Banerjee, John Choi, Bijan Pesaran +2

A problem of classification of local field potentials (LFPs), recorded from the prefrontal cortex of a macaque monkey, is considered. An adult macaque monkey is trained to perform…

stat.ME2017★ 1 cited

Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations

Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A Allsop +2

A fundamental problem in neuroscience is to characterize the dynamics of spiking from the neurons in a circuit that is involved in learning about a stimulus or a contingency. A key…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.