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Browsing by Author "Azar, Danielle"

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AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients

Azar, Danielle; Bitar, Mandy (2016-03-24)

Treating diabetes mellitus requires patients to retrieve multiple measurements daily over multiple years. This results in an enormous amount of data. Endocrinologists need to find a certain pattern in this data that would ...
An Ant Colony Optimization Heuristic to Optimize Prediction of Stability of Object-Oriented Components

Azar, Danielle; Harmani, Haidar; Zgheib, Grace (IEEE, 2017-03-15)

The IEEE 729-1983 Standard defines software quality as "the composite characteristics of software that determine the degree to which the software in use will meet the expectations of the customer." Assessing software quality ...
Belief selection in point-based planning algorithms for POMDPs

Azar, Danielle; Izadi, Masoumeh T.; Precup, Doina (Springer, 2017-03-16)

Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value function can be derived by interpolation from the values ...
A combined ant colony optimization and simulated annealing algorithm to assess Stability and fault-proneness of classes based on internal software quality attributes

Azar, Danielle; Fayad, Karl; Daoud, Charbel (2016-11-16)

Azar, D., Fayad, K., & Daoud, C. (2016). A Combined Ant Colony Optimization and Simulated Annealing Algorithm to Assess Stability and Fault-Proneness of Classes Based on Internal Software Quality Attributes. International ...
Computer-aided detection of Melanoma using geometric features

Azar, Danielle; Moussa, Rebecca; Gerges, Firas; Salem, Christian; Akiki, Romario; Falou, Omar (IEEE, 2017-03-14)

Melanoma is one type of skin cancer that usually develops from prolonged exposure to UV light. The latter triggers mutations that lead skin cells to multiply rapidly and form malignant tumors. If not cured, Melanoma can ...
Cue-utilisation typologies and pilots’ pre-flight and in-flight weather decision-making

Azar, Danielle; Wiggins, Mark W.; Hawken, Jake; Loveday, Thomas; Newman, David (2017-03-14)

In complex, high consequence environments such as aviation, the capacity to acquire, integrate, and respond to task-related cues is critical for accurate situation assessment and to avoid plan-continuation errors. The aim ...
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models

Azar, Danielle (2016-03-24)

In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. Software quality assessment is crucial in the software development field since it helps reduce ...
Heuristic approaches for optimizing the performance of rule-based classifiers

Harmanani, Haidar; Azar, Danielle (IEEE, 2017-03-29)

Rule-based classifiers are supervised learning techniques that are extensively used in various domains. This type of classifiers is popular because of its nature which makes it modular and easy to interpret and also because ...
An image processing and genetic algorithm-based approach for the detection of melanoma in patients

Tokajian, Sima; Azar, Danielle; Salem, Christian (2018-06-26)

Melanoma skin cancer is the most aggressive type of skin cancer. It is most commonly caused by excessive exposure to Ultraviolet radiation which triggers uncontrollable proliferation of melanocytes. Early detection makes ...
Improving Rule Set Based Software Quality Prediction

Azar, Danielle; Bouktif, Salah; Sahraoui, Houari; Kegl, Balazs (2016-03-24)

The object-oriented (OO) paradigm has now reached maturity. OO software products are becoming more complex which makes their evolution effort and time consuming. In this respect, it has become important to develop tools ...
The relationship between pre-flight decision-making and cue utilization

Azar, Danielle; Wiggins, Mark W.; Loveday, Thomas (2017-03-15)

This study examined the relationship between measures of cue utilization and decision selection in the context of pre-flight decision-making. Fifty one licensed pilots participated in an on-line assessment of cue utilization ...
A simulated annealing algorithm for the capacitated vehicle routing problem

Azar, Danielle; Harmanani, Haidar M.; Helal, Nathalies Georges; Keirouz, Walid (2017-03-15)

The Capacitated Vehicle Routing Problem (CVRP) is a combinatorial optimization problem where a fleet of delivery vehicles must service known customer demands from a common depot at a minimum transit cost without exceeding ...
A simulated annealing algorithm for the capacitated vehicle routing problem

Azar, Danielle; Harmanani, Haidar M.; Keirouz, Walid; Helal, Nathalie Georges (2018-04-20)

The Capacitated Vehicle Routing Problem (CVRP) is a combinatorial optimization problem where a eet of delivery vehicles must service known customer demands from a common depot at a minimum transit cost without exceeding ...
Using genetic algorithms to optimize software quality estimation models

Azar, Danielle (McGill University, 2018-04-20)

Assessing software quality is fundamental in the software developing field. Most software quality characteristics cannot be measured before a certain period of use of the software product. However, they can be predicted ...

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