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Frontiers in Microbiology
|
July 12, 2019
Prediction of T4SS Effector Proteins for <i>Anaplasma phagocytophilum</i> Using OPT4e, A New Software Tool
Zhila Esna Ashari, Kelly A Brayton, Shira L Broschat
Plos One
|
January 26, 2019
Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila
Zhila Esna Ashari, Kelly A Brayton, Shira L Broschat
Plos One
|
May 10, 2018
An optimal set of features for predicting type IV secretion system effector proteins for a subset of species based on a multi-level feature selection approach
Zhila Esna Ashari, Nairanjana Dasgupta, Kelly A Brayton, et al.
IEEE Transactions on Mobile Computing
|
December 31, 2021
Memory-Aware Active Learning in Mobile Sensing Systems
Zhila Esna Ashari, Naomi S Chaytor, Diane J Cook, et al.
Sensors (Basel, Switzerland)
|
July 29, 2023
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition
Parastoo Alinia, Asiful Arefeen, Zhila Esna Ashari, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Frontiers in Microbiology
|
July 12, 2019
Prediction of T4SS Effector Proteins for <i>Anaplasma phagocytophilum</i> Using OPT4e, A New Software Tool
Zhila Esna Ashari, Kelly A Brayton, Shira L Broschat
Plos One
|
January 26, 2019
Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila
Zhila Esna Ashari, Kelly A Brayton, Shira L Broschat
Plos One
|
May 10, 2018
An optimal set of features for predicting type IV secretion system effector proteins for a subset of species based on a multi-level feature selection approach
Zhila Esna Ashari, Nairanjana Dasgupta, Kelly A Brayton, et al.
IEEE Transactions on Mobile Computing
|
December 31, 2021
Memory-Aware Active Learning in Mobile Sensing Systems
Zhila Esna Ashari, Naomi S Chaytor, Diane J Cook, et al.
Sensors (Basel, Switzerland)
|
July 29, 2023
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition
Parastoo Alinia, Asiful Arefeen, Zhila Esna Ashari, et al.
Page
of 1