Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Danielle Azar"'
Ant colony optimization for the identification of dysregulated gene subnetworks from expression data
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-30 (2024)
Abstract Background High-throughput experimental technologies can provide deeper insights into pathway perturbations in biomedical studies. Accordingly, their usage is central to the identification of molecular targets and the subsequent development
Externí odkaz:
https://doaj.org/article/0135e1c2516d4dc8bbe8e07ed7e1a59a
Publikováno v:
Journal of X-Ray Science and Technology. 30:1009-1021
BACKGROUND: Knee Osteoarthritis (KOA) is the most common type of Osteoarthritis (OA) and it is diagnosed by physicians using a standard 0 –4 Kellgren Lawrence (KL) grading system which sets the KOA on a spectrum of 5 grades; starting from normal (0
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d391e92842676d2ae2f41f627bd9a1e2
https://doi.org/10.3233/xst-221190
https://doi.org/10.3233/xst-221190
Autor:
Jalal Possik, Danielle Azar, Adriano O. Solis, Ali Asgary, Gregory Zacharewicz, Abir Karami, Mohammadali Tofighi, Mahdi Najafabadi, Mohammad A. Shafiee, Asad A. Merchant, Mehdi Aarabi, Jianhong Wu
Publikováno v:
2022 IEEE/ACM 26th International Symposium on Distributed Simulation and Real Time Applications (DS-RT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b265315cb894f80e390657ddfb6248f4
https://doi.org/10.1109/ds-rt55542.2022.9932047
https://doi.org/10.1109/ds-rt55542.2022.9932047
Autor:
Danielle Azar, Andrew Nader
Publikováno v:
ACM Transactions on Evolutionary Learning and Optimization. 1:1-36
The hyper-parameters of a neural network are traditionally designed through a time-consuming process of trial and error that requires substantial expert knowledge. Neural Architecture Search algorithms aim to take the human out of the loop by automat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb43c4f2d8012a52fe0df91d460abe24
https://doi.org/10.1145/3464384
https://doi.org/10.1145/3464384
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84285d195310eeed4d5a358456b1f272
https://doi.org/10.2139/ssrn.4088408
https://doi.org/10.2139/ssrn.4088408
Publikováno v:
2021 4th International Conference on Artificial Intelligence and Pattern Recognition.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d6e7db43220ee80a7a5f148858857c6
https://doi.org/10.1145/3488933.3488993
https://doi.org/10.1145/3488933.3488993
Autor:
Andrew Nader, Danielle Azar
Publikováno v:
GECCO Companion
The introduction of the ReLU function in neural network architectures yielded substantial improvements over sigmoidal activation functions and allowed for the training of deep networks. Ever since, the search for new activation functions in neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fe93fe010cb7477bb680213bb2324f6
https://doi.org/10.1145/3377929.3389942
https://doi.org/10.1145/3377929.3389942
Autor:
Danielle Azar, Rebecca Moussa
Publikováno v:
Journal of Systems and Software. 132:41-49
We present an algorithm to classify software modules as fault-prone or not using object-oriented metrics. Our algorithm is a combination of particle swarm intelligence and genetic algorithms. We empirically validate it on eight different data sets. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeb1a7dce30c143e68efd0964fb744a3
https://doi.org/10.1016/j.jss.2017.06.059
https://doi.org/10.1016/j.jss.2017.06.059
Autor:
Omar Falou, Danielle Azar, Eno Hysi, Lauren A. Wirtzfeld, Michael C. Kolios, Elizabeth S. L. Berndl, Israa Alnazer, Remie Nasr
Publikováno v:
EMBC
Decellularization is a technique that permits the removal of cells from intact organs while preserving the extracellular matrix (ECM). It has many applications in various fields such as regenerative medicine and tissue engineering. This study aims to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::731fd8493749a66d2071edd95a706b63
https://doi.org/10.1109/embc.2019.8856518
https://doi.org/10.1109/embc.2019.8856518