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All Outputs (163)

Applying data mining in medical data with focus on mortality related to accident in children (2008)
Presentation / Conference
Saraee, M., Ehghaghi, Z., Meamarzadeh, H., & Zibanezhad, B. (2008, December). Applying data mining in medical data with focus on mortality related to accident in children. Presented at IEEE International Multitopic Conference, Karachi, Pakistan

Trauma is the main leading cause of death in children; we need a tool to prevent and predict the outcome in these patients. Data mining is the science of extracting the useful information from a large amount of data sets or databases that leads to st... Read More about Applying data mining in medical data with focus on mortality related to accident in children.

Optimizing classification techniques using genetic programming approach (2008)
Presentation / Conference
Saraee, M., & Sadjady, R. (2008, December). Optimizing classification techniques using genetic programming approach. Presented at 12th IEEE International Multitopic Conference, Conquering the Horizons of Future Technology (IEEE INMIC 2008), Karachi, Pakistan

Genetic Programming (GP) is a branch of Genetic
Algorithms (GA) that searches for the best operation or
computer program in search space of operations. At the same
time classification is a data mining technique used to build model of data classes... Read More about Optimizing classification techniques using genetic programming approach.

Fuzzy block matching motion estimation for video compression (2008)
Presentation / Conference
Soroushmehr, S., Samavi, S., & Saraee, M. (2008, December). Fuzzy block matching motion estimation for video compression. Presented at 2008 IEEE 9th Malay International Conference on Communications, Kuala Lumpur, Malaysia,

Motion estimation demands intense computations. To overcome this obstacle, different techniques have been devised. In this paper an efficient spatio-temporal fuzzy search algorithm is proposed to shorten the search time without the loss of accuracy.... Read More about Fuzzy block matching motion estimation for video compression.

Estimating missing value in microarray data using fuzzy clustering and gene ontology (2008)
Presentation / Conference
Mohammadi, A., & Saraee, M. (2008, November). Estimating missing value in microarray data using fuzzy clustering and gene ontology. Presented at IEEE International Conference on Bioinformatics and Biomedicine, 2008. BIBM '08., Philadelphia, PA, USA,

Microarray experiments usually generate data sets with multiple missing expression values, due to several problems. In this paper, a new and robust method based on fuzzy clustering and gene ontology is proposed to estimate missing values in microarra... Read More about Estimating missing value in microarray data using fuzzy clustering and gene ontology.

Building trust in e-commerce using social networks approach (2008)
Presentation / Conference
Shahgholian, A., Mazrooei, P., & Saraee, M. (2008, October). Building trust in e-commerce using social networks approach. Presented at The International Conference on “E-Commerce and Developing Countries (ECDC 08), Isfahan, Iran

Dealing with missing values in microarray data (2008)
Presentation / Conference
Mohammadi, A., & Saraee, M. (2008, October). Dealing with missing values in microarray data. Presented at 4th IEEE International Conference on Emerging Technologies, 2008. ICET 2008, Rawalpindi, Pakistan,

Gene expression profiling plays an important role in a broad range of areas in biology. The raw gene expression data, may contain missing values. It is an important preprocessing step to accurately estimate missing values in microarray data, because... Read More about Dealing with missing values in microarray data.

Mining protein primary structure data using committee machines approach to predict protein contact map (2008)
Presentation / Conference
Habibi, N., Mahdaviani, K., & Saraee, M. (2008, October). Mining protein primary structure data using committee machines approach to predict protein contact map. Presented at 4th IEEE International Conference on Emerging Technologies, 2008. ICET 2008., Rawalpindi, Pakistan,

Committee machines approach has shown to be useful in different applications. Protein primary structure data contain valuable information to extract. In this paper we mine these data and predict protein contact map based on committee machines. Contac... Read More about Mining protein primary structure data using committee machines approach to predict protein contact map.

Finding shortest path with learning algorithms (2008)
Journal Article
Bagheri, A., Akbarzadeh, M., & Saraee, M. (2008). Finding shortest path with learning algorithms. International Journal of Artificial Intelligence, 1(A08),

This paper presents an approach to the shortest path routing problem that uses one of the most popular learning algorithms. The Genetic Algorithm (GA) is one of the most powerful and successful method in stochastic search and optimization techniques... Read More about Finding shortest path with learning algorithms.

A new and improves skin detection method using RGB vector space (2008)
Presentation / Conference
Aznaveh, M., Mirzaei, H., Roshan, E., & Saraee, M. (2008, July). A new and improves skin detection method using RGB vector space. Presented at 5th International Multi-Conference on Systems, Signals and Devices, 2008. IEEE SSD 2008., Amman Jordan

This paper describes a new method for skin detection based on RGB vector space. Skin color has proven to be a useful cue for pre-process of face detection, localization and tracking. Image content filtering, content aware video compression and image... Read More about A new and improves skin detection method using RGB vector space.

A method to resolve the overfitting problem in recurrent neural networks for prediction of complex system's behavior (2008)
Presentation / Conference
Mahdaviani, K., Mazyar, H., Majidi, S., & Saraee, M. (2008, June). A method to resolve the overfitting problem in recurrent neural networks for prediction of complex system's behavior. Presented at IEEE World Congress on Computational Intelligence / IEEE International Joint Conference on Neural Networks, Hong Kong, China

In this paper a new method to resolve the
overfitting problem for predicting complex systems'
behavior has been proposed. This problem occurs when a
neural network loses its generalization. The method is
based on the training of recurrent neural... Read More about A method to resolve the overfitting problem in recurrent neural networks for prediction of complex system's behavior.

A new color based method for skin detection using RGB vector space (2008)
Presentation / Conference
Aznaveh, M., Mirzaei, H., Roshan, E., & Saraee, M. (2008, May). A new color based method for skin detection using RGB vector space. Presented at 2008 IEEE Conference on Human System Interactions, Krakow, Poland

This paper describes a new method for skin detection based on RGB vector space. Skin color has proven to be a useful cue for pre-process of face detection, localization and tracking. Image content filtering, content aware video compression and image... Read More about A new color based method for skin detection using RGB vector space.

A new linear appearance-based method in face recognition (2008)
Book Chapter
Hajiarbabi, M., Askari, J., Sadri, S., & Saraee, M. (2008). A new linear appearance-based method in face recognition. In Advances in Communication Systems and Electrical Engineering (579-587). Springer. https://doi.org/10.1007/978-0-387-74938-9_39

Human identification recognition has attracted scientists for many years. During these years, and due to increases in terrorism, the need for such systems has increased much more. The most important biometric systems that have been used during these... Read More about A new linear appearance-based method in face recognition.

Genome-wide efficient attribute selection for purely epistatic models via Shannon entropy (2008)
Journal Article
Manzourolajdad, A., Saraee, M., Mirlohi, A., & Javan, A. (2008). Genome-wide efficient attribute selection for purely epistatic models via Shannon entropy. International Journal of Business Intelligence and Data Mining, 3(4), 390. https://doi.org/10.1504/IJBIDM.2008.022736

Epistasis plays an important role in the genetic architecture of common human diseases. Most complex diseases are believed to have multiple contributing loci that often have subtle patterns which make them fairly difficult to find in large data sets.... Read More about Genome-wide efficient attribute selection for purely epistatic models via Shannon entropy.

Epistasy search in population-based gene mapping using mutual information (2007)
Presentation / Conference
Saraee, M., Nikoofar, H., & Manzour, A. (2007, December). Epistasy search in population-based gene mapping using mutual information. Presented at 2007 IEEE International Symposium on Signal Processing and Information Technology, Cairo, EGYPT

Gene mapping intends to identify the causal genetic regions of a specific phenotype mostly a complex disease. These diseases are believed to have multiple contributing loci that are potentially unknown and often have subtle patterns making them hard... Read More about Epistasy search in population-based gene mapping using mutual information.

An agent-based method for predicting monthly maximum & minimum quote prices (2007)
Presentation / Conference
Mazyar, H., Mahdaviani, K., Majidi, S., & Saraee, M. (2007, November). An agent-based method for predicting monthly maximum & minimum quote prices. Presented at IDMC'07, Tehran, Iran

In this paper a multi agent model for predicting monthly maximum and minimum quote prices has been proposed. This model is based on the training of Elman neural networks and using particle swarm optimization for obtaining the best parameters of the n... Read More about An agent-based method for predicting monthly maximum & minimum quote prices.

Data mining process using clustering: a survey (2007)
Presentation / Conference
Saraee, M., Ahmadian, N., & Narimani, Z. (2007, November). Data mining process using clustering: a survey. Presented at IDMC'07, Tehran, Iran

Clustering is a basic and useful method in
understanding and exploring a data set.
Clustering is division of data into groups of
similar objects. Each group, called cluster,
consists of objects that are similar between
themselves and dissimilar... Read More about Data mining process using clustering: a survey.

A new and robust apple evaluation method using image processing (2007)
Presentation / Conference
Mirzaei, H., & Saraee, M. (2007, August). A new and robust apple evaluation method using image processing. Presented at First Joint Congress on Fuzzy and Intelligent Systems, Ferdowsi University of Mashhad, Iran

Fruit evaluation is a necessary component of vegetable and fruit sorting system. Recently, machine vision applications for sorting and inspecting some fruit vegetables have been studied by many scientists. In this paper a new and robust computer visi... Read More about A new and robust apple evaluation method using image processing.