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ORCIDDanielle Azar
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2020 – today
- 2024
[j8]Eileen Marie Hanna, Ghadi El Hasbani
, Danielle Azar:
Ant colony optimization for the identification of dysregulated gene subnetworks from expression data. BMC Bioinform. 25(1): 254 (2024)- [j7]Manuella Germanos, Danielle Azar, Eileen Marie Hanna:
To change or not to change? Modeling software system interactions using Temporal Graphs and Graph Neural Networks: A focus on change propagation. Inf. Softw. Technol. 166: 107368 (2024) - [c14]Rebecca Moussa, Danielle Azar, Federica Sarro:
On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios. SANER 2024: 535-545 - 2022
- [c13]Manuella Germanos, Danielle Azar, Abir-Beatrice Karami, Jalal Joseph Possik:
A Distributed Memetic Algorithm with a semi-greedy operator for the Traveling Salesman Problem. DS-RT 2022: 143-150 - [c12]Jalal Joseph Possik, Danielle Azar, Adriano O. Solis, Ali Asgary, Gregory Zacharewicz, Abir Karami, Mohammadali Tofighi, Mahdi M. Najafabadi, Mohammad Ali Shafiee, Asad A. Merchant, Mehdi Aarabi, Jianhong Wu:
A distributed digital twin implementation of a hemodialysis unit aimed at helping prevent the spread of the Omicron COVID-19 variant. DS-RT 2022: 168-174 - [i2]Rebecca Moussa, Danielle Azar, Federica Sarro:
Investigating the Use of One-Class Support Vector Machine for Software Defect Prediction. CoRR abs/2202.12074 (2022) - 2021
- [j6]Andrew Nader, Danielle Azar:
Evolution of Activation Functions: An Empirical Investigation. ACM Trans. Evol. Learn. Optim. 1(2): 8:1-8:36 (2021) - [c11]Firas Gerges, Frank Y. Shih, Danielle Azar:
Automated Diagnosis of Acne and Rosacea using Convolution Neural Networks. AIPR 2021: 607-613 - [i1]Andrew Nader, Danielle Azar:
Evolution of Activation Functions: An Empirical Investigation. CoRR abs/2105.14614 (2021) - 2020
- [c10]Andrew Nader, Danielle Azar:
Searching for activation functions using a self-adaptive evolutionary algorithm. GECCO Companion 2020: 145-146
2010 – 2019
- 2019
- [c9]Israa Alnazer, Omar Falou, Remie Nasr, Danielle Azar, Eno Hysi, Lauren Wirtzfeld, Elizabeth S. L. Berndl, Michael C. Kolios:
Quantitative Ultrasound Imaging for the Differentiation between Fresh and Decellularized Mouse Kidneys. EMBC 2019: 6624-6627 - 2018
- [c8]Firas Gerges, Germain Zouein, Danielle Azar:
Genetic Algorithms with Local Optima Handling to Solve Sudoku Puzzles. ICCAI 2018: 19-22 - [c7]Ahmad Nsouli, Azzam Mourad, Danielle Azar:
Towards Proactive Social Learning Approach for Traffic Event Detection based on Arabic Tweets. IWCMC 2018: 1501-1506 - 2017
- [j5]Rebecca Moussa, Danielle Azar:
A PSO-GA approach targeting fault-prone software modules. J. Syst. Softw. 132: 41-49 (2017) - 2015
- [c6]Haidar M. Harmanani, Danielle Azar, Grace Zgheib, David Kozhaya:
An Ant Colony Optimization Heuristic to Optimize Prediction of Stability of Object-Oriented Components. IRI 2015: 225-228 - 2011
- [j4]Danielle Azar, Joseph Vybihal:
An ant colony optimization algorithm to improve software quality prediction models: Case of class stability. Inf. Softw. Technol. 53(4): 388-393 (2011) - [c5]Haidar M. Harmanani, Danielle Azar, Nathalie Helal, Walid Keirouz:
A Simulated Annealing Algorithm for the Capacitated Vehicle Routing Problem. CATA 2011: 96-101 - [c4]Danielle Azar, Haidar M. Harmanani:
Heuristic approaches for optimizing the performance of rule-based classifiers. IRI 2011: 25-31 - 2010
- [j3]Danielle Azar:
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models: a Search-Based Software Engineering Approach. Int. J. Comput. Intell. Appl. 9(2): 125-136 (2010) - [j2]Danielle Azar, Haidar M. Harmanani, Rita Korkmaz:
Predicting stability of classes in an object-oriented system. J. Comput. Methods Sci. Eng. 10(3-6): 39-49 (2010)
2000 – 2009
- 2009
- [j1]Danielle Azar, Haidar M. Harmanani, Rita Korkmaz:
A hybrid heuristic approach to optimize rule-based software quality estimation models. Inf. Softw. Technol. 51(9): 1365-1376 (2009) - [c3]Danielle Azar, Haidar M. Harmanani, Rita Korkmaz:
A Hybrid Heuristic Approach To Optimize Rule-Based Software Quality Estimation Models. SEDE 2009: 91-98 - 2006
- [c2]Masoumeh T. Izadi, Doina Precup, Danielle Azar:
Belief Selection in Point-Based Planning Algorithms for POMDPs. Canadian AI 2006: 383-394 - 2002
- [c1]Danielle Azar, Doina Precup, Salah Bouktif, Balázs Kégl, Houari A. Sahraoui:
Combining and Adapting Software Quality Predictive Models by Genetic Algorithms. ASE 2002: 285-288
Coauthor Index
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last updated on 2024-11-14 00:54 CET by the dblp team
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