Seraj D. Katebi

According to our database1, Seraj D. Katebi authored at least 17 papers between 2005 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2016
A multi-resolution approach to localize neural sources of P300 event-related brain potential.
Comput. Methods Programs Biomed., 2016

2015
Source localization algorithms to find attention and memory circuits in the brain.
J. King Saud Univ. Comput. Inf. Sci., 2015

2012
Complexity Measure as a Feature to Classify Schizophrenic and Healthy Participants.
Proceedings of the 14th International Conference on Computer Modelling and Simulation, 2012

2011
A new approach for EEG signal classification of schizophrenic and control participants.
Expert Syst. Appl., 2011

2010
Modeling and evaluation of trust with an extension in semantic web.
J. Web Semant., 2010

2009
Improving Security of Pixel Value Differencing Steganographic Method.
Proceedings of the NTMS 2009, 2009

2008
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data.
IEEE Trans. Fuzzy Syst., 2008

Tartarus and Fractal Gene Regulatory Networks with Inputs.
Adv. Complex Syst., 2008

Feature Selection of Gene Expression Data Based on Fuzzy Attribute Clustering.
Proceedings of the Advances in Electrical Engineering and Computational Science, 2008

A Trust Model Based on Statistical Propagation and Fuzzy Aggregation for Semantic Web.
Proceedings of the EMS 2008, 2008

Extracting Compact Fuzzy Model for MIMO Systems Using Multi-Objective Genetic Algorithms.
Proceedings of the EMS 2008, 2008

A Novel Piecewise Linear Clustering Technique Based on Hyper Plane Adjustment.
Proceedings of the Advances in Computer Science and Engineering, 2008

2007
A weighting function for improving fuzzy classification systems performance.
Fuzzy Sets Syst., 2007

Selection of relevant features for EEG signal classification of schizophrenic patients.
Biomed. Signal Process. Control., 2007

A New Approach to Classify the Schizophrenic and Normal Subjects by Finding the Best Channels and Frequency Bands.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

A Support Vector Based Fuzzy Neural Network Approach for Mass Classification in Mammography.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

2005
Fuzzy Classifier System for Classification Task.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005


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