9 citations · 24 across the 6 of their papers we have counts for
12 papers
Adaptive County Level COVID-19 Forecast Models: Analysis and Improvement
Stewart W Doe, Tyler Russell Seekins, David Fitzpatrick +2
Accurately forecasting county level COVID-19 confirmed cases is crucial to optimizing medical resources. Forecasting emerging outbreaks pose a particular challenge because many exi…
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
Madan Ravi Ganesh, Jason J. Corso, Salimeh Yasaei Sekeh
Most approaches to deep neural network compression via pruning either evaluate a filter's importance using its weights or optimize an alternative objective function with sparsity c…
A Geometric Approach to Online Streaming Feature Selection
Salimeh Yasaei Sekeh, Madan Ravi Ganesh, Shurjo Banerjee +2
Online Streaming Feature Selection (OSFS) is a sequential learning problem where individual features across all samples are made available to algorithms in a streaming fashion. In…
Geometric Estimation of Multivariate Dependency
Salimeh Yasaei Sekeh, Alfred O. Hero
This paper proposes a geometric estimator of dependency between a pair of multivariate samples. The proposed estimator of dependency is based on a randomly permuted geometric graph…
Feature Selection for multi-labeled variables via Dependency Maximization
Salimeh Yasaei Sekeh, Alfred O. Hero
Feature selection and reducing the dimensionality of data is an essential step in data analysis. In this work, we propose a new criterion for feature selection that is formulated a…
Learning to Bound the Multi-class Bayes Error
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero
In the context of supervised learning, meta learning uses features, metadata and other information to learn about the difficulty, behavior, or composition of the problem. Using thi…