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I. Guyon, A. Saffari, G. Dror, and G. Cawley, "Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge," Neural Networks, vol. 21, iss. 2-3, pp. 544-550, 2008.
@article{SaffariNN2008, abstract = {We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in the form of a table, with each example being encoded as a linear feature vector. Is it worth spending time incorporating domain knowledge in feature construction or algorithm design, or can off-the-shelf programs working directly on simple low-level features do better than skilled data analysts? To answer these questions, we formatted five datasets using two data representations. The participants in the “prior knowledge” track used the raw data, with full knowledge of the meaning of the data representation. Conversely, the participants in the “agnostic learning” track used a pre-formatted data table, with no knowledge of the identity of the features. The results indicate that black-box methods using relatively unsophisticated features work quite well and rapidly approach the best attainable performance. The winners on the prior knowledge track used feature extraction strategies yielding a large number of low-level features. Incorporating prior knowledge in the form of generic coding/smoothing methods to exploit regularities in data is beneficial, but incorporating actual domain knowledge in feature construction is very time consuming and seldom leads to significant improvements. The AL vs. PK challenge web site remains open for post-challenge submissions: http://www.agnostic.inf.ethz.ch/.},
author = {Guyon, Isabelle and Saffari, Amir and Dror, Gideon and Cawley, Gavin },
citeulike-article-id = {2601473},
journal = {Neural Networks},
keywords = {challenge},
month = {March},
number = {2-3},
pages = {544–550},
priority = {0},
title = {Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge},
url = {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T08-4RFJ4J6-3&_user=464374&_coverDate=04%2F30%2F2008&_alid=725276335&_rdoc=1&_fmt=high&_orig=search&_cdi=4856&_sort=d&_docanchor=&view=c&_ct=1&_acct=C000022118&_version=1&_urlVersion=0&_userid=464374&md5=4664e791227a47daee4e9d034276bd50},
volume = {21},
year = {2008}
}
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A. Saffari and H. Bischof, "Boosting for Model-Based Data Clustering," in Proc. of 30th Symposium of the German Association for Pattern Recognition (DAGM 2008), 2008, pp. 51-60.
@inproceedings{SaffariCBoost2008, abstract = {In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn the base clustering models. The experimental results on relatively large scale datasets and also Caltech4 object recognition set demonstrate how the performance of relatively simple and computationally efficient base clustering algorithms could be boosted using the proposed algorithm.},
author = {Saffari, Amir and Bischof, Horst },
booktitle = {Proc. of 30th Symposium of the German Association for Pattern Recognition (DAGM 2008)},
pages = {51–60},
citeulike-article-id = {2601464},
keywords = {boosting, clustering, ensemble},
month = {June},
priority = {0},
title = {Boosting for Model-Based Data Clustering},
url = {http://www.ymer.org/papers/files/2008-CBoost.pdf},
year = {2008}
}
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A. Saffari and H. Bischof, "Clustering in a Boosting Framework," in Proc. of Computer Vision Winter Workshop (CVWW), St. Lambrecht, Austria, 2007, pp. 75-82.
@inproceedings{SaffariCBoost2007, abstract = {In this paper we present a novel approach for creating partitions of data space using simple clustering algorithms in a boosting framework. A general boosting algorithm for clustering tasks is proposed, and solutions for directly optimizing two loss functions according to this framework are obtained. Experimental results show how the performance of relatively simple and computationally efficient base clustering algorithms could be boosted using the proposed algorithm.},
author = {Saffari, Amir and Bischof, Horst },
booktitle = {Proc. of Computer Vision Winter Workshop (CVWW), St. Lambrecht, Austria},
citeulike-article-id = {2601657},
keywords = {boosting, clustering},
month = {February},
pages = {75–82},
priority = {0},
title = {Clustering in a Boosting Framework},
url = {http://www.ymer.org/papers/files/2007-CBoost.pdf},
year = {2007}
}
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I. Guyon, A. Saffari, G. Dror, and G. Cawley, "Agnostic Learning vs. Prior Knowledge Challenge," in Proc. of International Joint Conference on Neural Networks (IJCNN), Orlando, Florida, USA, 2007, pp. 829-834.
@inproceedings{SaffariIJCNN2007,
author = {Guyon, Isabelle and Saffari, Amir and Dror, Gideon and Cawley, Gavin },
booktitle = {Proc. of International Joint Conference on Neural Networks (IJCNN), Orlando, Florida, USA},
citeulike-article-id = {2601651},
keywords = {challenge},
month = {August},
pages = {829–834},
priority = {0},
title = {Agnostic Learning vs. Prior Knowledge Challenge},
url = {http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=4371065\&\#38;isnumber=4370891\&\#38;punumber=4370890\&\#38;k2dockey=4371065@ieeecnfs\&\#38;query=\%28\%28agnostic+learning+vs.+prior+knowledge+challenge\%29\%3Cin\%3Emetadata\%29\&\#38;pos=0},
year = {2007}
}
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I. Guyon, A. Saffari, H. Escalante, G. Bakir, and G. Cawley, CLOP: a Matlab Learning Object Package, 2007.
@misc{SaffariNIPS2007,
author = {Guyon, Isabelle and Saffari, Amir and Escalante, Hugo and Bakir, G\”{o}khan and Cawley, Gavin },
citeulike-article-id = {2601478},
howpublished = {NIPS 2007 Demonstrations, Vancouver, British Columbia, Canada},
keywords = {clop},
month = {December},
priority = {0},
title = {CLOP: a Matlab Learning Object Package},
url = {http://nips.cc/Conferences/2007/Program/event.php?ID=981},
year = {2007}
}
-
A. Saffari and H. Bischof, "Video Tracking - Red Light Enforcement," Institute for Computer Graphics and Vision, Graz University of Technology2006.
@techreport{SaffariRLE2006,
author = {Saffari, Amir and Bischof, Horst },
citeulike-article-id = {2601768},
institution = {Institute for Computer Graphics and Vision, Graz University of Technology },
keywords = {tracking},
priority = {0},
title = {Video Tracking - Red Light Enforcement},
year = {2006}
}
-
A. Saffari and I. Guyon, "Quick Start Guide for CLOP," Institute for Computer Graphics and Vision, Graz University of Technology and Clopinet2006.
@techreport{SaffariCLOP2006,
author = {Saffari, Amir and Guyon, Isabelle },
citeulike-article-id = {2601772},
institution = {Institute for Computer Graphics and Vision, Graz University of Technology and Clopinet },
keywords = {clop},
priority = {0},
title = {Quick Start Guide for CLOP},
url = {http://www.ymer.org/research/files/clop/QuickStartV1.0.pdf},
year = {2006}
}
-
A. Saffari, "Variable Selection using Correlation and Single Variable Classifier Methods: Applications," , Guyon, I., Gunn, S., Nikravesh, M., and Zadeh, L., Eds., Springer-Verlag, 2006, pp. 343-358.
@incollection{SaffariBook2006,
author = {Saffari, Amir },
booktitle = {Feature Extraction: Foundations and Applications},
citeulike-article-id = {2601720},
editor = {Guyon, Isabelle and Gunn, Steve and Nikravesh, Masoud and Zadeh, Lofti },
keywords = {challenge},
pages = {343–358},
priority = {0},
publisher = {Springer-Verlag},
title = {Variable Selection using Correlation and Single Variable Classifier Methods: Applications},
url = {http://www.ymer.org/papers/files/2005-VariableSelection.pdf},
year = {2006}
}
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I. Guyon, A. Saffari, G. Dror, and J. Buhmann, "Performance Prediction Challenge," in Proc. of International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence (WCCI), Vancouver, British Columbia, Canada, 2006, pp. 2958-2965.
@inproceedings{SaffariIJCNN2006,
author = {Guyon, Isabelle and Saffari, Amir and Dror, Gideon and Buhmann, Joachim },
booktitle = {Proc. of International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence (WCCI), Vancouver, British Columbia, Canada},
citeulike-article-id = {2601676},
keywords = {challenge},
month = {July},
pages = {2958–2965},
priority = {0},
title = {Performance Prediction Challenge},
url = {http://eprints.pascal-network.org/archive/00002476/01/Summary\_paper\_IJCNN06.pdf},
year = {2006}
}
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I. Guyon, A. Saffari, G. Dror, G. Cawley, and O. Guyon, Results of the NIPS 2006 Model Selection Game, 2006.
@misc{SaffariNIPS2006,
author = {Guyon, Isabelle and Saffari, Amir and Dror, Gideon and Cawley, Gavin and Guyon, Olivier },
citeulike-article-id = {2601766},
howpublished = {Multi-level Inference Workshop of NIPS 2006, Vancouver, BC, Canada },
keywords = {challenge},
month = {December},
priority = {0},
title = {Results of the NIPS 2006 Model Selection Game},
url = {http://www.clopinet.com/isabelle/Projects/NIPS2006/NIPSgame-Results-Dec-06.ppt},
year = {2006}
}
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A. Saffari, "Book Review: Complex Worlds from Simpler Nervous Systems, by Frederick R. Prete, editor, MIT Press 2004," International Journal of Computational Intelligence and Applications (IJCIA), vol. 6, iss. 4, pp. 569-572, 2006.
@article{SaffariIJCIA2006,
author = {Saffari, Amir },
citeulike-article-id = {2601664},
journal = {International Journal of Computational Intelligence and Applications (IJCIA)},
keywords = {neuro-science},
month = {December},
number = {4},
pages = {569–572},
priority = {0},
title = {Book Review: Complex Worlds from Simpler Nervous Systems, by Frederick R. Prete, editor, MIT Press 2004},
url = {http://www.worldscinet.com/cgi-bin/details.cgi?id=voliss:ijcia\_0604\&\#38;type=toc},
volume = {6},
year = {2006}
}
-
A. Saffari, "Unknown Environment Representation for Mobile Robot Using Spiking Neural Networks," in Proc. of WEC 2005, Transactions on Engineering, Computing and Technology, Istanbul, Turkey, 2005, pp. 49-52.
@inproceedings{SaffariWEC2005,
author = {Saffari, Amir },
booktitle = {Proc. of WEC 2005, Transactions on Engineering, Computing and Technology, Istanbul, Turkey},
citeulike-article-id = {2601732},
keywords = {snn},
month = {June},
pages = {49–52},
priority = {0},
title = {Unknown Environment Representation for Mobile Robot Using Spiking Neural Networks},
url = {http://www.ymer.org/papers/files/2005-SSNN-Robot.pdf},
year = {2005}
}
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M. Pfeiffer, A. Saffari, and A. Juffinger, "Predicting Text Relevance from Sequential Reading Behavior," in Proc. of the NIPS 2005 Workshop on Machine Learning for Implicit Feedback and User Modeling, Whistler, British Columbia, Canada, 2005, pp. 25-30.
@inproceedings{SaffariNIPS2005,
author = {Pfeiffer, Michael and Saffari, Amir and Juffinger, Andreas},
booktitle = {Proc. of the NIPS 2005 Workshop on Machine Learning for Implicit Feedback and User Modeling, Whistler, British Columbia, Canada},
citeulike-article-id = {2601726},
editor = {Puolamaki, Kai and Kaski, Samuel },
keywords = {challenge},
month = {December},
pages = {25–30},
priority = {0},
title = {Predicting Text Relevance from Sequential Reading Behavior},
url = {http://www.cis.hut.fi/inips2005/proceedings.shtml},
year = {2005}
}
-
A. Saffari, "Spiking Neural Networks: Dynamical Systems Approach (I, II, III)," Sahand University of Technology, Tabriz, Iran2003-2005.
@techreport{SaffariSNN2003,
author = {Saffari, Amir },
citeulike-article-id = {2601778},
institution = {Sahand University of Technology, Tabriz, Iran },
priority = {0},
title = {Spiking Neural Networks: Dynamical Systems Approach (I, II, III)},
year = {2003-2005}
}
-
A. Saffari, S. Ashkboos, and T. Emami, "Reports on BCI Competitions 2003," Sahand University of Technology, Tabriz, Iran2003.
@techreport{SaffariBCI2003,
author = {Saffari, Amir and Ashkboos, S. and Emami, T. },
citeulike-article-id = {2601781},
institution = {Sahand University of Technology, Tabriz, Iran },
keywords = {bci, challenge},
priority = {0},
title = {Reports on BCI Competitions 2003},
year = {2003}
}
-
A. Saffari, NIPS Feature Selection Challenge: Details of Methods, 2003.
@misc{SaffariNIPS2003,
author = {Saffari, Amir },
citeulike-article-id = {2601740},
howpublished = {NIPS 2003, Feature Extraction Workshop, Whistler, British Columbia, Canada},
keywords = {challenge},
month = {December},
priority = {0},
title = {NIPS Feature Selection Challenge: Details of Methods},
url = {http://www.ymer.org/papers/files/2003-VarSel-Challenge-NIPS.pdf},
year = {2003}
}
-
A. Saffari, "Analyzing Information Processing Models of Biological Neural Networks: A Time-Coding Approach," Master’s Dissertation , 2001.
@mastersthesis{SaffariMST2001,
author = {Saffari, Amir },
citeulike-article-id = {2601784},
keywords = {neuro-science, snn},
month = {December},
priority = {0},
school = {Biomedical Eng. Dept., Tehran Polytechnic (Amirkabir University of Technology), Tehran, Iran },
title = {Analyzing Information Processing Models of Biological Neural Networks: A Time-Coding Approach},
year = {2001}
}
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A. Saffari and M. Azizian, "An Information Compression Method Based on Chaotic Dynamics and Neural Networks," in Proc. of 1st International Conference of Cognitive Sciences, Tehran, Iran, 2001.
@inproceedings{SaffariCOG2001a,
author = {Saffari, Amir and Azizian, Mehdi },
booktitle = {Proc. of 1st International Conference of Cognitive Sciences, Tehran, Iran},
citeulike-article-id = {2601749},
keywords = {neuro-science},
priority = {0},
title = {An Information Compression Method Based on Chaotic Dynamics and Neural Networks},
year = {2001}
}
-
A. Saffari and M. Azizian, "A New Modeling View of Mind-Brain Interaction Using Chaotic Dynamics and Quantum Mechanics," in Proc. of 1st International Conference of Cognitive Sciences, Tehran, Iran, 2001.
@inproceedings{SaffariCOG2001b,
author = {Saffari, Amir and Azizian, Mehdi },
booktitle = {Proc. of 1st International Conference of Cognitive Sciences, Tehran, Iran},
citeulike-article-id = {2601752},
keywords = {neuro-science},
priority = {0},
title = {A New Modeling View of Mind-Brain Interaction Using Chaotic Dynamics and Quantum Mechanics},
year = {2001}
}
-
A. 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, Iran1999.
@techreport{SaffariBST1999,
author = {Saffari, Amir },
citeulike-article-id = {2601790},
institution = {Bachelor Thesis, Biomedical Eng. Dept., Tehran Polytechnic (Amirkabir University of Technology), Tehran, Iran },
priority = {2},
title = {Designing of a Stand-Alone Bedside Monitoring System using 80C196KC Micro-Controller and Graphic LCD},
year = {1999}
}
-
A. Saffari, "A Review on OGY Algorithm for Chaos Control," in Proc. of 1st Symposium of Intelligent Systems, Tehran University, Tehran, Iran, 1999.
@inproceedings{SaffariIS1999,
author = {Saffari, Amir },
booktitle = {Proc. of 1st Symposium of Intelligent Systems, Tehran University, Tehran, Iran},
citeulike-article-id = {2601758},
keywords = {chaos},
priority = {0},
title = {A Review on OGY Algorithm for Chaos Control},
year = {1999}
}
I. Guyon, A. Saffari, G. Dror, and G. Cawley, "Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge," Neural Networks, vol. 21, iss. 2-3, pp. 544-550, 2008.
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