in print |
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10 | Nima Reyhani, Jarkko Ylipaavalniemi, Ricardo Vigario, and Erkki Oja. Consistency and asymptotic normality of fastica and bootstrap fastica. Signal Processing, In print. |
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2011 |
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9 | Nima Reyhani and Erkki Oja. Non-gaussian component analysis using density gradient covariance matrix. In The 2011 International Joint Conference on Neural Networks(IJCNN 2011), pages 966–972. Institute of Electrical and Electronics Engineers ( IEEE ), 2011. |
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8 | Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, and Tetsunori Kobayashi. Speaker recognition using multiple kernel learning based on conditional entropy minimization. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), pages 2204–2207. Institute of Electrical and Electronics Engineers ( IEEE ), 2011. |
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7 | Nima Reyhani, Hideitsu Hino, and Ricardo Vigario. New probabilistic bounds on eigenvalues and eigenvectors of random kernel matrices. In Proceedings of the Proceedings of the Twenty-Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-11), pages 627–634, Corvallis, Oregon, 2011. AUAI Press. |
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2007 |
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6 | Nima Reyhani Yongnan Ji Antti Sorjamaa, Jin Hao and Amaury Lendasse. Methodology for long-term prediction of time series. Neurocomputing, 70(16-18):2861–2869, October 2007. |
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5 | Nima Reyhani and Amaury Lendasse. An empirical dependence measures based on residual variance estimation. In ISSPA 2007, International Symposium on Signal Processing and its Applications in conjunction with the International Conference on Information Sciences, Signal Processing and its Applications, Sharjah, United Arab Emirates (U.A.E.), February 12-15 2007. |
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2005 |
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4 | Nima Reyhani Amaury Lendasse, Yongnan Ji and Michel Verleysen. LS-SVM hyperparameter selection with a nonparametric noise estimator. In E. Oja S. Zadroznyeds W. Duch, J. Kacprzyk, editor, ICANN05, International Conference on Artificial Neural Networks, Artificial Neural Networks: Formal Models and Their Applications, volume 3697 of Lecture Notes in Computer Science, pages 625–630, September 11-15 2005. |
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3 | Nima Reyhani Antti Sorjamaa and Amaury Lendasse. Input and structure selection for k-NN approximator. In Francisco Sandoval Joan Cabestany, Alberto Prieto, editor, LNCS - Computational Intelligence and Bioinspired Systems - IWANN 2005, volume 3512/2005 of Lecture Notes in Computer Science, pages 985–992. Springer Berlin / Heidelberg, June 2005. |
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2 | Nima Reyhani Yongnan Ji, Jin Hao and Amaury Lendasse. Direct and recursive prediction of time series using mutual information selection. In Computational Intelligence and Bioinspired Systems: 8th International Workshop on Artificial Neural Networks, IWANN'05, Vilanova i la Geltra, Barcelona, Spain, volume 3512 of Lecture Notes in Computer Science, pages 1010–1017. Springer-Verlag GmbH, June 8-10 2005. |
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1 | Yongnan Ji Nima Reyhani, Jin Hao and Amaury Lendasse. Mutual information and gamma test for input selection. In ESANN 2005, European Symposium on Artificial Neural Networks, Bruges (Belgium), pages 503–504, April 27-29 2005. |
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