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All Outputs (157)

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.

Entropy-based epistasy search in SNP case-control studies (2007)
Presentation / Conference
Manzour, A., & Saraee, M. (2007, August). Entropy-based epistasy search in SNP case-control studies. Presented at Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007., Haikou, China

The purpose of gene mapping is to identify the causal genetic regions of a specific phenotype mainly a complex disease. Most complex diseases are believed to have multiple contributing loci often having subtle patterns which make them fairly difficul... Read More about Entropy-based epistasy search in SNP case-control studies.

The evaluation of camera motion, defocusing and noise immunity for linear appearance based methods in face recognition (2007)
Presentation / Conference
Hajiarbabi, M., Askari, J., Sadri, S., & Saraee, M. (2007, July). The evaluation of camera motion, defocusing and noise immunity for linear appearance based methods in face recognition. Presented at World Congress on Engineering 2007 Vol I WCE 2007, July 2 - 4, 2007, London, U.K, London, U.K

Face recognition has assigned a special place to itself because of its low intrusiveness, low cost and effort and acceptable accuracy. There are several methods for recognition and appearance based methods is one of the most popular one. Unfortunatel... Read More about The evaluation of camera motion, defocusing and noise immunity for linear appearance based methods in face recognition.

Face recognition using discrete cosine transform plus linear discriminant analysis (2007)
Presentation / Conference
Hajiarbabi, M., Askari, J., Sadri, S., & Saraee, M. (2007, July). Face recognition using discrete cosine transform plus linear discriminant analysis. Presented at The World Congress on Engineering (WCE 2007), London, U.K., 2-4 July, 2007., London, U.K

Face recognition is a biometric identification methodwhich among the other methods such as, finger printidentification, speech recognition, signature and hand writtenrecognition has assigned a special place to itself. In principle, thebiometric ident... Read More about Face recognition using discrete cosine transform plus linear discriminant analysis.

Using T3, an improved decision tree classifier, for mining stroke-related medical data (2007)
Journal Article
Saraee, M., & Keane, J. (2007). Using T3, an improved decision tree classifier, for mining stroke-related medical data. Methods of Information in Medicine, 46(5), 523-529. https://doi.org/10.1160/ME0317

Objectives: Medical data are a valuable resource from which novel and potentially useful knowledge can be discovered by using data mining. Data mining can assist and support medical decision making and enhance clinical management and investigativ... Read More about Using T3, an improved decision tree classifier, for mining stroke-related medical data.

A novel ensemble classifier-based feature selection method (2006)
Presentation / Conference
Noorbehbahani, F., & Saraee, M. (2006, July). A novel ensemble classifier-based feature selection method. Presented at The Sixth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2012), Sanpaolo Palace Hotel, Palermo, Italy

Improving similarity search in time series using wavelets (2006)
Journal Article
Liabotis, I., Theodoulidis, B., & Saraee, M. (2006). Improving similarity search in time series using wavelets. International Journal of Data Warehousing and Mining, 2(2), 1116-1137. https://doi.org/10.4018/978-1-59904-951-9.ch064

Sequences constitute a large portion of data stored in databases. Data mining applications require the ability to process similarity queries over a large amount of time series data. The query processing performance is an important factor that needs t... Read More about Improving similarity search in time series using wavelets.