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Showing 6 out of a total of 6 results for collection: Department of Electrical and Computer Engineering.
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TempoMAGE: A deep learning framework that exploits the causal dependency between time-series data to predict histone marks in open chromatin regions at time-points with missing ChIP-seq datasets
Hallal, Mohamad M.
;
Awad, Mariette
;
Khoueiry, Pierre H.
(
Oxford University Press
,
2021
)
On Biologically Inspired Stochastic Reinforcement Deep Learning: A Case Study on Visual Surveillance
Hajj, Nadine
;
Awad, Mariette
(
Institute of Electrical and Electronics Engineers Inc.
,
2019
)
A piecewise weight update rule for a supervised training of cortical algorithms
Hajj, Nadine
;
Awad, Mariette
(
Springer London
,
2019
)
A Progressive and Cross-Domain Deep Transfer Learning Framework for Wrist Fracture Detection
Karam, Christophe
;
El-Zini, Julia
;
Awad, Mariette
;
Saade, Charbel
;
Naffaa, Lena N.
;
El Amine, Mohammad Ali K.
(
Sciendo
,
2021
)
A Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection
El-Zini, Julia
;
Rizk, Yara
;
Awad, Mariette
(
Institute of Electrical and Electronics Engineers Inc.
,
2020
)
Deep belief networks and cortical algorithms: A comparative study for supervised classification
Rizk, Yara
;
Hajj, Nadine
;
Mitri, Nicholas
;
Awad, Mariette
(
Elsevier B.V.
,
2019
)
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Author
Awad, Mariette (6)
Hajj, Nadine (3)
El-Zini, Julia (2)
Rizk, Yara (2)
El Amine, Mohammad Ali K. (1)
Hallal, Mohamad M. (1)
Karam, Christophe (1)
Khoueiry, Pierre H. (1)
Mitri, Nicholas (1)
Naffaa, Lena N. (1)
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Subject
Deep learning (6)
Cortical algorithms (2)
Transfer learning (2)
Abandoned luggage detection (1)
Algorithm (1)
Approximation algorithms (1)
Artificial neural network (1)
Average absolute error (1)
Biologically inspired (1)
Bright spot detection (1)
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Date Issued
2019 (3)
2021 (2)
2020 (1)
Has File(s)
Yes (6)