Outputs (190)

Extracting temporal rules from medical data (2009)
Presentation / Conference
Meamarzadeh, H., Khayyambashi, M., & Saraee, M. (2009, November). Extracting temporal rules from medical data. Presented at The 2009 International Conference on Computer Technology and Development, Kota, Kinabalu, Malaysia

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... Read More about Extracting temporal rules from medical data.

Data mining cardiovascular risk factors (2009)
Presentation / Conference
Kajabadi, A., Saraee, M., & Asgari, S. (2009, October). Data mining cardiovascular risk factors. Presented at International Conference on Application of Information and Communication Technologies, 2009. AICT 2009., Baku, Azerbaija

Nowadays, medical centers collect various data in different diseases. Investigating these data and obtaining useful results and patterns with respect to the diseases are the aims of using these data. Great amount of these data and confusions results... Read More about Data mining cardiovascular risk factors.

Web search personalization: A fuzzy adaptive approach (2009)
Presentation / Conference
Norouzzadeh, M., Bagheri, A., & Saraee, M. (2009, August). Web search personalization: A fuzzy adaptive approach. Presented at 2nd IEEE International Conference on Computer Science and Information Technology, 2009. ICCSIT 2009, Beijing, China,

Today the growing rate of Web data has become so large and this is the reason for turning search engines into the major decision support systems for the Internet. In this paper, a novel and simple approach is proposed to improve Web search. The appro... Read More about Web search personalization: A fuzzy adaptive approach.

Application of self-organizing map to model a machining process (2009)
Presentation / Conference
Saraee, M., Moosavi, S., & Rezapoor, S. (2009, July). Application of self-organizing map to model a machining process. Presented at The 4th European Conference on Intelligent Management Systems in Operations, Salford, UK

Protein contact map prediction based on an ensemble learning method (2009)
Presentation / Conference
Habibi, N., & Saraee, M. (2009, January). Protein contact map prediction based on an ensemble learning method. Presented at International Conference on Computer Engineering and Technology (ICCET 2009),, Singapore

Contact map is the simplified, 2D representation of protein spatial structure. Contact map prediction is an intermediate step to predict protein 3D structure. Ensemble learning-based model is a collection of learners that is more accurate than a sing... Read More about Protein contact map prediction based on an ensemble learning method.

A new and improved skin detection method using mixed color space (2009)
Book Chapter

In this paper a new and robust approach of skin detection is proposed. In the previous proposed system, we introduced a method for skin detection based on RGB vector space. An extended and modified approach based on a mixed color space is presented.... Read More about A new and improved skin detection method using mixed color space.

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.