Combining and Adapting Software Quality Predictive Models by Genetic Algorithms. - Danielle Azar; Doina Precup; Salah Bouktif; Balázs Kégl; Houari A. Sahraoui (ASE, 2002)

Belief Selection in Point-Based Planning Algorithms for POMDPs. - Masoumeh T. Izadi; Doina Precup; Danielle Azar (Canadian AI, 2006)

A hybrid heuristic approach to optimize rule-based software quality estimation models. - Danielle Azar; Haidar M. Harmanani; Rita Korkmaz (Inf. Softw. Technol., 2009)

A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models: a Search-Based Software Engineering Approach. - Danielle Azar (Int. J. Comput. Intell. Appl., 2010)

Predicting stability of classes in an object-oriented system. - Danielle Azar; Haidar M. Harmanani; Rita Korkmaz (J. Comput. Methods Sci. Eng., 2010)

A Simulated Annealing Algorithm for the Capacitated Vehicle Routing Problem. - Haidar M. Harmanani; Danielle Azar; Nathalie Helal; Walid Keirouz (CATA, 2011)

Heuristic approaches for optimizing the performance of rule-based classifiers. - Danielle Azar; Haidar M. Harmanani (IRI, 2011)

An ant colony optimization algorithm to improve software quality prediction models: Case of class stability. - Danielle Azar; Joseph Vybihal (Inf. Softw. Technol., 2011)

An Ant Colony Optimization Heuristic to Optimize Prediction of Stability of Object-Oriented Components. - Haidar M. Harmanani; Danielle Azar; Grace Zgheib; David Kozhaya (IRI, 2015)

A PSO-GA approach targeting fault-prone software modules. - Rebecca Moussa; Danielle Azar (J. Syst. Softw., 2017)

Genetic Algorithms with Local Optima Handling to Solve Sudoku Puzzles. - Firas Gerges; Germain Zouein; Danielle Azar (ICCAI, 2018)

Towards Proactive Social Learning Approach for Traffic Event Detection based on Arabic Tweets. - Ahmad Nsouli; Azzam Mourad; Danielle Azar (IWCMC, 2018)

Quantitative Ultrasound Imaging for the Differentiation between Fresh and Decellularized Mouse Kidneys. - Israa Alnazer; Omar Falou; Remie Nasr; Danielle Azar; Eno Hysi; Lauren Wirtzfeld; Elizabeth S. L. Berndl; Michael C. Kolios (EMBC, 2019)

Searching for activation functions using a self-adaptive evolutionary algorithm. - Andrew Nader; Danielle Azar (GECCO Companion, 2020)

Automated Diagnosis of Acne and Rosacea using Convolution Neural Networks. - Firas Gerges; Frank Y. Shih; Danielle Azar (AIPR, 2021)

Evolution of Activation Functions: An Empirical Investigation. - Andrew Nader; Danielle Azar (ACM Trans. Evol. Learn. Optim., 2021)

A Distributed Memetic Algorithm with a semi-greedy operator for the Traveling Salesman Problem. - Manuella Germanos; Danielle Azar; Abir-Beatrice Karami; Jalal Joseph Possik (DS-RT, 2022)

A distributed digital twin implementation of a hemodialysis unit aimed at helping prevent the spread of the Omicron COVID-19 variant. - 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 (DS-RT, 2022)

Investigating the Use of One-Class Support Vector Machine for Software Defect Prediction. - Rebecca Moussa; Danielle Azar; Federica Sarro (CoRR, 2022)

On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios. - Rebecca Moussa; Danielle Azar; Federica Sarro (SANER, 2024)

To change or not to change? Modeling software system interactions using Temporal Graphs and Graph Neural Networks: A focus on change propagation. - Manuella Germanos; Danielle Azar; Eileen Marie Hanna (Inf. Softw. Technol., 2024)

Ant colony optimization for the identification of dysregulated gene subnetworks from expression data. - Eileen Marie Hanna; Ghadi El Hasbani; Danielle Azar (BMC Bioinform., 2024)

Translating Akkadian Transliterations to English with Transfer Learning. - Najat Nehme; Danielle Azar; Diana Kutsalo; Jalal Joseph Possik (ICAART (3), 2025)

Does it smell? A homogeneous stacking approach for code smell prediction. - Rim El Jammal; Danielle Azar (Inf. Softw. Technol., 2025)

ReCA: A Parametric ReLU Composite Activation Function. - John Chidiac; Danielle Azar (CoRR, 2025)