Papers

2012

2011

2010

2009

2008

2007

2006

  • Amir Saffari, Isabelle Guyon, Quick Start Guide for CLOP, Technical Report, Institute for Computer Graphics and Vision, Graz University of Technology and Clopinet, 2006. Code.
  • Amir Saffari, Horst Bischof, “Video Tracking – Red Light Enforcement”, Technical Report, Institute for Computer Graphics and Vision, Graz University of Technology, 2006.
  • Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin Cawley, Olivier Guyon, NIPS 2006 Model Selection Game, NIPS Workshop on Multi-level Inference, Vancouver, BC, Canada, 2006.
  • Amir Saffari, Variable Selection using Correlation and Single Variable Classifier Methods: Applications, Book Chapter, Feature Extraction: Foundations and Applications, Editors: Isabelle Guyon, Steve Gunn, Masoud Nikravesh, Lotfi Zadeh, Springer-Verlag, Pages 343-358, 2006. Code.
  • Isabelle Guyon, Amir Saffari, Gideon Dror, Joachim Buhmann, Performance Prediction Challenge, Proc. of International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence (WCCI), Vancouver, British Columbia, Canada, Pages 2958-2965, 2006.
  • Amir Saffari, Book Review: Complex Worlds from Simpler Nervous Systems, International Journal of Computational Intelligence and Applications (IJCIA), Vol. 6, Pages 569-572, 2006.

2005

2003

  • Amir Saffari, NIPS Feature Selection Challenge, NIPS 2003, Feature Extraction Workshop, Whistler, British Columbia, Canada, 2003.
  • Amir Saffari, S. Ashkboos, T. Emami, BCI Competitions 2003, Technical Report, Sahand University of Technology, Tabriz, Iran, 2003.
  • Amir Saffari, “Spiking Neural Networks: Dynamical Systems Approach”, Technical Report, Sahand University of Technology, Tabriz, Iran, 2003.

2001

  • Amir Saffari, “Analyzing Information Processing Models of Biological Neural Networks: A Time-Coding Approach”,  Master Thesis, Biomedical Eng. Dept., Tehran Polytechnic (Amirkabir University of Technology), Tehran, Iran, 2001.
  • Amir Saffari, Mehdi Azizian, “A New Modeling View of Mind-Brain Interaction Using Chaotic Dynamics and Quantum Mechanics”, Proc. of 1st International Conference of Cognitive Sciences, Tehran, Iran, 2001.
  • Amir Saffari, Mehdi Azizian, “An Information Compression Method Based on Chaotic Dynamics and Neural Networks”, Proc. of 1st International Conference of Cognitive Sciences, Tehran, Iran, 2001.

1999

  • Amir Saffari, “A Review on OGY Algorithm for Chaos Control”, Proc. of 1st Symposium of Intelligent Systems, Tehran University, Tehran, Iran, 1999.
  • Amir Saffari, “Designing of a Stand-Alone Bedside Monitoring System using 80C196KC Micro-Controller and Graphic LCD”, Bachelor Thesis, Biomedical Eng. Dept., Tehran Polytechnic (Amirkabir University of Technology), Tehran, Iran, 1999.

5 thoughts on “Papers

  1. First of all forgiveness for my English. He is not very good. I’m Argentine and I’m trying to understand how to program the gradient boosting method. I have trouble understanding how to calculate the gradient parameters and how to maximize the loss function. You will have some material so that I can understand how program it. My math is good but not enough to understand Friedman’s paper alone. If you can help me would really appreciate it

    1. Hey Martin,

      I will put in near future some code online which then you could take a look at it to see how the gradient boost algorithms are implemented. So stay tuned.

  2. sir,pls forgive me if my english is bad. i am from India.iam doing M.tech project on implimenting spiking neural networks for electrical load forecasting.sir i dont have any knowledge about it.wil you give me some guide lines recording this project.pls help me sir,i am facing a lot of problem.wil u reply me as soon as possible.thank you ssir,waitng a positive reply from you.

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