Mansoureh Maadi

Mansoureh Maadi
University of Melbourne | MSD · Department of Computing and Information Systems

PhD candidate

About

15
Publications
1,794
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78
Citations

Publications

Publications (15)
Article
Full-text available
Objective: To provide a human-Artificial Intelligence (AI) interaction review for Machine Learning (ML) applications to inform how to best combine both human domain expertise and computational power of ML methods. The review focuses on the medical field, as the medical ML application literature highlights a special necessity of medical experts col...
Preprint
Full-text available
The main aim in ensemble learning is using multiple individual classifiers outputs rather than one classifier output to aggregate them for more accurate classification. Generating an ensemble classifier generally is composed of three steps: selecting the base classifier, applying a sampling strategy to generate different individual classifiers and...
Article
Full-text available
In recent years, new meta-heuristic algorithms have been developed to solve optimization problems. Recently-introduced Cuckoo Optimization Algorithm (COA) has proven its excellent performance to solve different optimization problems. Precedence Constrained Sequencing Problem (PCSP) is related to locating the optimal sequence with the shortest trave...
Conference Paper
Recommender systems are systems that help internet users to decide according to their personality based characteristics by giving some suggestions. Because these systems confront with numerous data and must offer the best suggestion to users in a reasonable time, these suggestions should provide some specifications together include accuracy, novelt...
Article
Full-text available
Recently, diabetes becomes the widespread and major disease in the world. In this paper, we propose a novel hybrid classifier for diabetic diseases. The proposed hybrid classifier named Logistic Adaptive Network-based Fuzzy Inference System (LANFIS) is a combination of Logistic regression and Adaptive Network-based Fuzzy Inference System. Our propo...
Article
Most manufacturers use human-machine systems to produce high-quality products. Dealing with human-machine systems is very complicated since not only machines should be utilized in proper condition but also appropriate environment should be provided for human resources. Most manufacturers have a maintenance plan for machines but many of them do not...
Article
Full-text available
In this paper, a new model to evaluate business intelligence (BI) for enterprise systems is presented. Evaluation of BI before making decisions about buying and deployment can be an important decision support system for managers in organizations. In this paper, a simple and practical method is presented that evaluates BI for enterprise systems. In...
Article
Full-text available
Nowadays, consumer trust is identified as one of the most important factors in electronic commerce (e-commerce) growth. This has led much research to investigate the role of trust in e-commerce and determine the factors which influence trust in this area. This paper explores factors which are engaged in building initial consumer trust in online sho...
Article
Full-text available
Nowadays, due to the inherent complexity of the real optimization problems, it is a challenging issue to develop a solution algorithm to these problems. Single row facility layout problem (SRFLP) is an NP-hard problem of arranging a number of rectangular facilities with varying lengths on one side of a straight line with the aim of minimizing the w...
Article
Sensor Networks are one of the most important distributed networks which are used in the wide range of applications. Energy is one of the major limitations of wireless sensor networks, which has direct impact on the network's life time. LEACH protocol is one of the most well- known Clustering schemes that select cluster heads randomly. Clustering i...
Article
most methods used for solving multi objective optimization problems (MOPs) are based on the Pareto- optimal frontier, but this approach will become questionable when the number of objectives grows. This paper presents an approach for solving MOPs using PROMETHEE method (Preference Ranking Organization methods for Enrichment Evaluation). In this pap...
Article
Facility Layout problem is concerned with the arrangement of a number of facilities in a given space to satisfy an objective function. The multi-line layout problem assigns a few facilities in the two or more unequal lines into the industrial plant, where the number of facilities is less than the number of locations with no constraint for placing t...
Article
The classical Hierarchical Covering Location Problem (HCLP) is the problem of finding locations of facilities in several levels maximizing the number of covered customers, where the customers are assumed to be covered if they are located within a specific distance from the facility, and not covered otherwise. In the generalized Hierarchical Coverin...
Article
In transportation planning models, decision makers try to estimate the number of trips between two or several origin-destination. In this field decision makers use trip distribution to have a good prediction. Since in the real world trip distribution problems often have more than one objective, multi objective models aredeveloped to cope with a set...

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