All Outputs (15)

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.

Improving gene ranking methods using fuzzy clustering and gene ontology (2008)
Presentation / Conference
Mohammadi, A., & Saraee, M. (2008, September). Improving gene ranking methods using fuzzy clustering and gene ontology. Paper presented at International Conference of the European Molecular Biology Network (EMBnet), Martina Franca, Italy

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.

Improvement of association-based gene mapping accuracy by selecting high rank features (2008)
Presentation / Conference
Mahoor, Z., Saraee, M., & Jazi, M. (2008, July). Improvement of association-based gene mapping accuracy by selecting high rank features. Presented at The 2008 International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics (BCBGC-08), Orlando, FL, USA

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.