2008
Xu J., Bakardjian H., Cichocki A., and Principe J., “A New Nonlinear Similarity Measure for Multichannel Signals”, Neural Networks (invited paper), Volume 21, Issues 2-3, March-April 2008, Pages 222-231.
Park I., Paiva A., DeMarse T., Principe J., “An efficient algorithm for continuous time cross correlogram of spike trains”, J. of Neuroscience Methods, Volume 168, Issue 2, 15 March 2008, Pages 514-523.
Principe J. Sanchez J., Harris J., Fortes J., Nishida T., Bashirullah, “BMIs: The Need for Beyond State-of-the-Art Technology and Signal Processing”, IEEE SP Magazine, vol 25, #1, pp 29-40.
Liu W., Pokarel P., Principe J., “The Kernel LMS Algorithm”, IEEE Trans. Signal Processing, Volume 56, Issue 2, Feb. 2008, Page(s):543 - 554.
2007
Han S., Rao S., Erdogmus D., Principe J., “A minimum error entropy algorithm with self adjusting stepsize (MEE-SAS)”, Signal Processing 87, 2733-2745.
Ozturk M., Principe J., “An Associative Memory Readout for ESN and LSM for Dynamical Pattern Recognition” Neural Networks, Special Issue on Echo State Machines, Volume 20, Issue 3, 377-390.
Ozturk M., Xu D., and Principe J., “Analysis and Design of Echo State Networks for Function Approximation” Neural Computation, 19,#1, 111-138.
Li R., Liu W., Principe J., “A unifying criterion for blind source separation based on correntropy”, accepted in Signal Processing, Special Issue on ICA, vol 87 , #8, 1872-1881.
Cho J., Paiva A., Kim J-P., Sanchez J., Principe J., “Dynamic Learning of a SOM For Low Bandwidth Signal Reconstruction”, Neural Networks, Volume 20, Issue 2, March 2007, Pages 274- 284.
Hu J., Gao J., and Principe J., “Analysis of biomedical signals by the Lempel-Ziv complexity: the effect of finite data size”, IEEE Trans. Biomedical Eng. vol 53 #12 (Pt 2):2606-9.
R. Jenssen, J. C. Principe, D. Erdogmus and T. Eltoft,"The Laplacian Classifier," IEEE Transactions on Signal Processing, vol 55, #7, 3262-3271.
Liu W., Pokharel P., Principe J., “Correntropy: Properties and Applications in Non Gaussian Signal Processing”, accepted in IEEE Trans. Sig. Proc., vol 55; # 11, pages 5286-5298.
Kenneth E. Hild II, Deniz Erdogmus, Jose C. Principe, "An Analysis of Entropy Estimators for Blind Source Separation," Signal Processing, Vol. 86, No. 1, pp. 182-194.
Cho J., Principe P., Erdogmus D. and Motter M., "Quasi-Sliding Mode Control Strategy Based on Multiple-Linear Models," Neuro- Computing Volume 70, Issues 4-6, January 2007, Pages 960-974.
2006
Cho J., Principe P., Erdogmus D. and Motter M., "Quasi-Sliding Mode Control Strategy Based on Multiple-Linear Models," Neuro- Computing Volume 70, Issues 4-6, January 2007, Pages 960-974.
Jenssen R., Erdogmus D., Hild II K., Principe J., and Eltoft T., "Information Cut for Clustering using a Gradient Descent Approach," Pattern Recognition , 40, pp 796-806.
D. Erdogmus, R. Jenssen, Y. N. Rao and J. C. Principe, "Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing," Journal of VLSI Signal Processing, 45, pp. 67-83, 2006 (Invited Paper).
Barros A., Principe J., Takeuchic Y., Ohnishic N., “Using non-linear even functions for error minimization in adaptive filters”, Neurocomputing 70 (2006) 9–13.
Jenssen R., Principe J., Erdogmus D. and Eltoft T., "The Cauchy- Schwartz Divergence and Parzen Windowing: Connections to Graph Theory and Mercer Kernels," Journal of the Franklin Institute, 343, pp 614-629
Kim P., Sanchez J., Rao Y., Erdogmus D., Carmena J., Lebedev M., Nicolelis M., and Principe J.“A comparison of optimal MIMO linear and nonlinear models for brain-machine interfaces”, J. of Neural Engineering, Vol. 3, pp. 145-161, 2006.
Sackellares C., Shiau D-S, Principe J., Yang M., Dance L., Suharitdamrong W., Chaovalitwongse W., Pardalos P., Iasemidis L., “Predictability Analysis for an Automated Seizure Prediction Algorithm”, Journal of Clinical Neurofisiologia: vol. 23(6), pp. 509-520, 2006
Santamaria I., Pokharel P., Principe J., “Generalized Correlation Function: Definition, Properties and Application to Blind Equalization”, IEEE Trans. Signal Proc. vol 54, no 6, pp 2187- 2186, June 2006
Sanchez, J., Mareci, T., Norman, W., Principe, J., Ditto, W,, and Carney, P., "Evolving into epilepsy: Multiscale electrophysiological analysis and imaging in an animal model," Experimental Neurology, vol. 198, issue 1, pp. 31-47, 2006.
Jeong K-H, Xu J-W, Erdogmus D., Principe J., “A New Classifier based on Information Theoretic Learning with Unlabeled Data”, Neural Networks, vol 18, # 5-6, pp 719-726.
University of Florida 
JOSE C. PRINCIPE