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Journal Papers

  1. Kan Li and Jose Principe, Biologically-Inspired Spike-Based Automatic Speech Recognition of Isolated Digits over a Reproducing Kernel Hilbert Space , Frontiers in Neuroscience, Vol. 12, No. 194, pp. 1-17, Apr 2018 DOI:10.3389/fnins.2018.00194
  2. Isaac J. Sledge, Matthew S. Emigh, Jose C. Principe, Directed Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion , Trans. on Neural Networks, Vol. 29, No. 6, pp. 1-15, Feb 2018 DOI:10.1109/TNNLS.2018.2812709
  3. Isaac J. Sledge, Jose C. Principe, Analysis of Agent Expertise in Pac-Man using Value-of-Information-Based Policies , IEEE Transactions on Computational Intelligence and AI in Games, Vol. 0, No. 0, pp. 1-14, Jan 2018 DOI:10.1109/TG.2018.2808201
  4. Isaac J. Sledge, Jose C. Principe, An Analysis of the Value of Information when Exploring Stochastic, Discrete Multi-Armed Bandits , Entropy, Vol. 20, No. 3, pp. 155(1-34), Dec 2017 DOI:10.3390/e20030155
  5. Kan Li, Jose Principe, Transfer Learning in Adaptive Filters: The Nearest-Instance-Centroid-Estimation Kernel Least-Mean-Square Algorithm , Trans. on Signal Processing, Vol. 65, No. 24, pp. 6520-6535, Dec 2017 DOI:10.1109/TSP.2017.2752695
  6. Dario Farina, Ivan Vujaklija, Massimo Sartori, Tamas Kapelner, Francesco Negro, Ning Jiang, Konstantin Bergmeister, Arash Andalib, Jose Principe, and Oskar C Aszmann, Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation , Nature Biomedical Engineering, (Accepted)
  7. Xinge You, Weigang Guo, Shujian Yu, Kan Li, Jos C. Prncipe, and Dacheng Tao, Kernel Learning for Dynamic Texture Synthesis , Trans. on Image Processing, Vol. 25, No. 10, pp. 4782-4795, Oct 2016 DOI:10.1109/TIP.2016.2598653
  8. Lu Lu, Haiquan Zhao, Kan Li, Badong Chen, A Novel Normalized Sign Algorithm for System Identification Under Impulsive Noise Interference , Circuits, Systems, and Signal Processing, Vol. 35, No. 9, pp. 3244-3265, Sep 2016 DOI:10.1007/s00034-015-0195-1
  9. Matthew S. Emigh, Evan G. Kriminger, Austin J. Brockmeier, Jose C. Principe, and Panos M. Pardalos, Reinforcement Learning in Video Games using Nearest Neighbor Interpolation and Metric Learning , Trans. on Computational Intelligence and AI in Games, Vol. 8, No. 1, pp. 56-66, Mar 2016 DOI:10.1109/TCIAIG.2014.2369345
  10. Kan Li, Jose C. Principe, The Kernel Adaptive Autoregressive-Moving-Average Algorithm , Trans. on Neural Networks, Vol. 27, No. 2, pp. 334-346, Feb 2016 DOI:10.1109/TNNLS.2015.2418323
  11. John S. Choi, Austin J. Brockmeier, David B. McNiel, Lee M. von Kraus, Jos C. Prncipe, and Joseph T. Francis, Eliciting naturalistic cortical responses with a sensory prosthesis via optimized microstimulation , Journal of Neural Engineering, Vol. 13, No. 5, pp. 05600-, Dec 2015 DOI:10.1088/1741-2560/13/5/056007
  12. Austin J. Brockmeier and Jose C. Principe, Learning Recurrent Waveforms within EEGs , Trans. on Biomedical Engineering, Vol. 63, No. 1, pp. 43-54, Dec 2015 DOI:10.1109/TBME.2015.2499241
  13. Salvador Dura-Bernal, Kan Li, Samuel A Neymotin, Joseph T Francis, Jose C Principe, William W Lytton, Restoring behavior via inverse neurocontroller in a lesioned cortical spiking model driving a virtual arm , Frontiers in Neuroscience, Vol. 10, No. 28, pp. 1-17, Dec 2015 DOI:10.3389/fnins.2016.00028
  14. M. Khodam Hazrati, V. Miskovic, J. C. Principe, A. Keil, Functional connectivity in frequency tagged cortical networks during active harm avoidance , Behavioral and Brain Sciences, (Accepted)
  15. Erion Hasanbelliu, Luis Sanchez Giraldo, Jose C. Principe, Information Theoretic Shape Matching , Trans. on Pattern Analysis and Machine Intelligence, Vol. 36, No. 12, pp. 2436-2451, Dec 2014 DOI:10.1109/TPAMI.2014.2324585
  16. Jose C. Principe and Austin J. Brockmeier, Representing and Decomposing Neural Potential Signals , Current Opinion in Neurobiology, Vol. 31, No. , pp. 13-17, Aug 2014 DOI:10.1016/j.conb.2014.07.023
  17. Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, and Jose C. Principe, Neural Decoding with Kernel-based Metric Learning , Neural Computation, Vol. 26, No. 6, pp. 1080-1107, Jun 2014 DOI:10.1162/NECO_a_00591
  18. Lin Li, Austin J. Brockmeier, John S. Choi, Joseph T. Francis, Justin C. Sanchez, and Jos C. Prncipe, A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control , Computational Intelligence and Neuroscience, Vol. 2014, No. , pp. 87016-, Apr 2014 DOI:10.1155/2014/870160
  19. Jose C. Principe, Rakesh Chalasani, Cognitive Architectures for Sensory Processing , Proc. of IEEE, Vol. 102, No. 4, pp. 514-525, Mar 2014 DOI:10.1109/JPROC.2014.2307023
  20. Abhishek Singh, Rosha Pokharel, Jose C. Principe, The C-loss function for pattern classification , Pattern Recognition, Vol. 47, No. 1, pp. 441-453, Jan 2014 DOI:10.1016/j.patcog.2013.07.017
  21. Park I., Bobkov Y., Ache B., Principe J., Intermittency coding in the primary olfactory system: A neural substrate for olfactory scence analysis , Journal of Neuroscience, Vol. 34, No. 3, pp. 941-952, Jan 2014 DOI:10.1523/JNEUROSCI.2204-13.2014
  22. Zhu P., Chen B., Principe, J.C., Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS , Trans. on Signal Processing, Vol. 62, No. 1, pp. 141-155, Dec 2013 DOI:10.1109/TSP.2013.2283842
  23. Principe J., Neural Signal Processing in BMIs , Computational Intelligence Magazine, (Accepted)
  24. Seth S., Principe J., Learning dependence from samples , International Journal of Bioinformatics Research and Applica, (Accepted)
  25. Vidal A., Tavares V., Principe J., PVP Power Maximization with Single-Variable Measurement , Trans. on Power Systems, (Accepted)
  26. , Online Active Learning for Automatic Target Recognition , Journal of Oceanic Engineering, (Accepted)
  27. Syed M., Pardalos P., Principe J., Invexity of the Minimum Error Entropy Criterion , Signal Processing Letters, Vol. 20, No. 12, pp. 1159-1162, Dec 2013 DOI:10.1109/LSP.2013.2283425
  28. Songlin Zhao, Badong Chen, Pingping Zhu, Jos C. Prncipe, Fixed budget quantized kernel least-mean-square algorithm , Signal Processing, Vol. 93, No. 9, pp. 2759-2770, Sep 2013 DOI:http://dx.doi.org/10.1016/j.sigpro.2013.02.012
  29. Park IJ, Bobkov YV, Ache BW, Principe JC, Quantifying bursting neuron activity from calcium signals using blind deconvolution , Journal of Neuroscience Methods, Vol. 218, No. 2, pp. 196-205, Sep 2013 DOI:10.1016/j.jneumeth.2013.05.007
  30. Nallathambi G, Principe J, Integrate and Fire Pulse Train Automaton for QRS detection , Trans. on Biomedical Engineering, Vol. , No. , pp. -, Sep 2013 DOI:10.1109/TBME.2013.2282954
  31. Lin Li, Il Memming Park, Austin Brockmeier,Badong Chen, Sohan Seth, Joseph T. Francis, Justin C. Sanchez, and Jose C. Principe , Adaptive Inverse Control of Neural Spatiotemporal Spike Patterns with a Reproducing Kernel Hilbert Space (RKHS) Framework , Trans. on Neural Systems and Rehabilitation Engineering, Vol. 21, No. 4, pp. 532-543, Jul 2013 DOI:10.1109/TNSRE.2012.2200300
  32. Il Memming Park, Seth, S., Paiva, A., Lin Li, Principe, J., Kernel Methods on Spike Train Space for Neuroscience: A Tutorial , Signal Processing Magazine, Vol. 30, No. 4, pp. 149-160, Jul 2013 DOI:10.1109/MSP.2013.2251072
  33. Carvalho AR, Tavares JMRS, Principe JC., A Novel Nonparametric Distance Estimator for Densities with Error Bounds , Entropy, Vol. 15, No. 5, pp. 1609-1623, May 2013 DOI:10.3390/e15051609
  34. Mujahid N. Syed, Panos M. Pardalos, Jose C. Principe , On the optimization properties of the correntropic loss function in data analysis , Optimization Letters, Vol. , No. , pp. -, Mar 2013 DOI:10.1007/s11590-013-0626-5
  35. Bilal Fadlallah, Badong Chen, Andreas Keil and Jose Principe, Weighted-Permutation Entropy: A Complexity Measure for Time Series Incorporating Amplitude Information , Physical Review Letters, Vol. 87, No. 2, pp. 02291-02298, Jan 2013 DOI:10.1103/PhysRevE.87.022911
  36. Rakesh Chalasani, Jose C. Principe, Self Organizing Maps with Information Theoretic Learning , NeuroComputing, (Accepted)
  37. Rakesh Chalasani, Jose C. Principe, Context Dependent Encoding using Convolutional Dynamic Networks , Trans. on Neural Networks, (Accepted)
  38. Jose C Principe, The Cortical Mouse: A Piece of Forgotten History in Noninvasive Brain Computer Interfaces , Pulse, Vol. 4, No. 4, pp. 26-29, Dec 2012 DOI:10.1109/MPUL.2013.2261329
  39. Il Memming Park, Sohan Seth, Murali Rao, Jose C. Principe, Strictly Positive Definite Spike Train Kernels for Point Process Divergences , Neural Computation, Vol. 24, No. 8, pp. -, Aug 2012 DOI:10.1162/NECO_a_00309
  40. E Santana, JC Principe, EE Santana, AK Barros, Extraction of signals with higher order temporal structure using Correntropy , Signal Processing, Vol. 92, No. 8, pp. 1844-1852, Aug 2012 DOI:10.1016/j.sigpro.2011.12.025
  41. Kittipat Kampa, Erion Hasanbelliu, J. Tory Cobb, Jose C. Principe and K. Clint Slatton, Deformable Bayesian Network: A Robust Framework for Underwater Sensor Fusion , Journal of Oceanic Engineering, Vol. 37, No. 2, pp. 166-184, Apr 2012 DOI:10.1109/JOE.2011.2180057
  42. Yuriy Bobkov, Il Park, Kirill Ukhanov, Jos C. Prncipe, Barry W. Ache, Cellular basis for response diversity in the olfactory periphery , , Vol. 7, No. 4, pp. -, Apr 2012 DOI:10.1371/journal.pone.0034843
  43. Badong Chen, Pingping Zhu, Jose C. Principe, Survival information potential: a new criterion for adaptive system training , Trans. on Signal Processing, Vol. 60, No. 3, pp. 1184-1194, Mar 2012 DOI:10.1109/TSP.2011.2178406
  44. J. Choi, M. DiStasio, A. Brockmeier, and J. Francis, An electric field model for prediction of somatosensory (S1) cortical field potentials induced by ventral posterior lateral (VPL) thalamic microstimulation , Trans. on Neural Systems and Rehabilitation Engineering, Vol. 20, No. 2, pp. 161-169, Mar 2012 DOI:10.1109/TNSRE.2011.2181417
  45. Lin Li, Il Memming Park, Sohan Seth, Justin C. Sanchez, Jose C. Principe, Functional Connectivity Dynamics Among Cortical Neurons: A Dependence Analysis , Trans. on Neural Systems and Rehabilitation Engineering, Vol. 20, No. 1, pp. 18-30, Jan 2012 DOI:10.1109/TNSRE.2011.2176749
  46. Badong Chen, Songlin Zhao, Pingping Zhu, Jose C. Principe, Quantized Kernel Least Mean Square Algorithm , Trans. on Neural Networks, Vol. 23, No. 1, pp. 22-32, Jan 2012 DOI:10.1109/TNNLS.2011.2178446
  47. K. Kampa, E. Hasanbelliu, T. Cobb, J. C. Principe, K. C. Slatton, Deformable Bayesian Network: A Robust Framework for Underwater Sensor Fusion , Journal of Oceanic Engineering, (Accepted)
  48. Badong Chen, Jose C. Principe, Jinchun Hu,Yu Zhu, Stochastic information gradient algorithm with generalized Gaussian distribution model , Journal of Circuits, Systems, and Computers , Vol. 21, No. 1, pp. 1-16, Dec 2011 DOI:10.1142/S0218126612500065
  49. Badong Chen, Songlin Zhao, Pingping Zhu, Jose C. Principe, Mean Square Convergence Analysis for Kernel Least Mean Square Algorithm , Signal Processing, (Accepted)
  50. Bilal Fadlallah, Sohan Seth, Andreas Keil and Jose Principe, Quantifying Cognitive State From EEG Using Dependence Measures , Trans. on Biomedical Engineering, Vol. 59, No. 10, pp. 2773-2781, Dec 2011 DOI:10.1109/TBME.2012.2210283
  51. Badong Chen,Yu Zhu,Jinchun Hu,Jose C. Principe, A Variable Step-Size SIG Algorithm for Realizing the Optimal Adaptive FIR Filter , International Journal of Control, Automation and Systems, Vol. 9, No. 6, pp. 1049-1055, Dec 2011 DOI:10.1007/s12555-011-0604-6
  52. S. Seth, J.C. Principe , Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence , Trans. on Neural Networks, Vol. 23, No. 1, pp. 47-59, Dec 2011 DOI:10.1109/TNNLS.2011.2178327
  53. Pingping Zhu, Badong Chen, Jose C. Principe, A novel extended kernel recursive least squares algorithm , Neural Networks, Vol. , No. , pp. -, Dec 2011 DOI:10.1016/j.neunet.2011.12.006
  54. Sohan Seth, Murali Rao, Il Park, and Jose C. Principe, A unified framework for quadratic measures of independence , Trans. on Signal Processing, Vol. 59, No. 8, pp. 3624-3635, Aug 2011 DOI:10.1109/TSP.2011.2153197
  55. Murali Rao, Sohan Seth, Jianwu Xu, Yunmei Chen, Hemant Tagare, Jose C. Principe, A test of independence based on a generalized correlation function , Signal Processing, Vol. 91, No. 1, pp. 15-27, Jan 2011 DOI:10.1016/j.sigpro.2010.06.002
  56. Badong Chen,Yu Zhu,Jinchun Hu,Jose C. Principe, D-Entropy: Definition, properties and applications in system identification with quantized data , Information Sciences, Vol. 181, No. , pp. 1384-1402, Dec 2010 DOI:10.1016/j.ins.2010.11.037
  57. Badong Chen,Yu Zhu,Jinchun Hu,Jose C. Principe, Stochastic gradient identification of Wiener system with maximum mutual information criterion , IET Signal Processing, Vol. 5, No. 6, pp. 589-597, Dec 2010 DOI:10.1049/iet-spr.2010.0171
  58. Antonio R. C. Paiva, Il Park and Jose C. Principe, A comparison of binless spike train measures , Neural Computation, Vol. 19, No. 3, pp. 405-419, Apr 2010 DOI:doi:10.1007/s00521-009-0307-6
  59. DiGiovanna J., et al, Cyber-Workstation for Computational Neuroscience , , Vol. 2, No. 17, pp. 4-11, Dec 2009 DOI:10.3389/neuro.16.017.2009
  60. Paiva A., Park I., Principe J., A comparison of binless spike train measures , , Vol. 19, No. 3, pp. 405-419, Dec 2009 DOI:10.1007/s00521-009-0307-6
  61. Aysegul Gunduz, Anant Hegde, and Jose C. Principe, Correntropy as a Novel Measure for Nonlinearity Tests , Signal Processing, Vol. 89, No. 1, pp. 14-23, Dec 2009 DOI:10.1016/j.sigpro.2008.07.005
  62. E Santana, JC Principe, EE Santana, RCS Freire, AK Barros, Extraction of signals with specific temporal structure using kernel methods , Trans. on Signal Processing, Vol. 58, No. 10, pp. 5142-5150, Dec 2009 DOI:10.1109/TSP.2010.2053359
  63. Yiwen Wang, Antonio Paiva , Jose C. Principe , Justin Sanchez, Sequential Monte Carlo Point Process Estimation of Kinematics from Neural Spiking Activity for Brain Machine Interfaces , Neural Computation, Vol. 21, No. N/A, pp. 2894-2930, Oct 2009
  64. Weifeng Liu, Il (Memming) Park , Yiwen Wang, Jose C. Principe, Extended kernel recursive least squares algorithm , Trans. on Signal Processing, Vol. 57, No. 10, pp. 3801-3814, Oct 2009
  65. Wang Y, Paiva AR, Príncipe JC, Sanchez JC., Sequential Monte Carlo point-process estimation of kinematics from neural spiking activity for brain-machine interfaces. , Neural Computation, Vol. 21, No. 10, pp. 2894-2930, Oct 2009
  66. Chang S., Wu H-C, Neubrander F., Principe J., Theories, analysis, and bounds of the finite-support approximation for the inverses of mixing-phase FIR systems , Trans. on Circuits and Systems I: Theory and Applications, Vol. 56, No. 10, pp. 2181-2194, Oct 2009 DOI:10.1109/TCSI.2008.2012204
  67. Puskal P. Pokharel, Weifeng Liu, and Jose C. Principe, A low complexity robust detector in impulsive noise , Signal Processing, Vol. 89, No. 10, pp. 1902-1909, Oct 2009
  68. Yiwen Wang, Jose C. Principe, and Justin C. Sanchez, Ascertaining neuron importance information theoretic analysis in motor Brain-Machine Inter-faces , Neural Networks, Vol. 22, No. 5-6, pp. 781-790, Aug 2009
  69. Aysegul Gunduz,Justin C. Sanchez, Paul R. Carney, and Jose C. Principe,, Mapping broadband electrocorticographic recordings to two-dimensional hand trajectories in humans Motor control features , Neural Networks, Vol. 22, No. 9, pp. 1257-1270, Jul 2009
  70. Jeong K-H, Liu W., Principe J., The correntropy MACE filter , Pattern Recognition, Vol. 42, No. 5, pp. 871-885, May 2009
  71. Justin C. Sanchez, Babak Mahmoudi, Jack DiGiovanna and Jose C. Principe, Exploiting Co-Adaptation for the Design of Symbiotic Neuroprosthetic Assistants , Neural Networks, Vol. 22, No. 3, pp. 305-315, Apr 2009
  72. Ruijiang Li, Andreas Keil, and Jose C. Principe,, Single-trial P300 estimation with a spatiotemporal filtering method , Journal of Neuroscience Methods, Vol. 177, No. 2, pp. 488-496, Mar 2009
  73. Nair SP, Shiau DS, Principe JC, Iasemidis LD, Pardalos PM, Norman WM, Carney PR, Kelly KM, Sackellares JC., An investigation of EEG dynamics in an animal model of temporal lobe epilepsy using the maximum Lyapunov exponent. , , Vol. 216, No. 1, pp. 115-121, Mar 2009
  74. Pokharel P., Liu W., Principe J., Kernel least mean square algorithm with constrained growth , Signal Processing, Vol. 89, No. 3, pp. 257-265, Mar 2009
  75. Rao, S., Martins A.,Principe J., Mean shift: An information theoretic perspective , Pattern Recognition, Vol. 30, No. 3, pp. 222-230, Feb 2009
  76. DiGiovanna J., Mahmoudi B., Fortes J., Principe J., Sanchez J., Co-adaptive Brain Machine Interface via Reinforcement Learning , Trans. on Biomedical Engineering, Vol. 54, No. 64, pp. 56-1, Jan 2009
  77. Catalin S. Buhimschi , Spatiotemporal electrohysterography patterns in normal and arrested labor , , Vol. 200, No. 1, pp. 1-3, Jan 2009
  78. Karl Dockendorf, Il Park, Ping He, José Príncipe, Thomas B. DeMarse, Liquid state machines and cultured cortical networks: The separation property , , Vol. 95, No. 2, pp. 90-97, Dec 2008 DOI:10.1016/j.biosystems.2008.08.001
  79. DiGiovanna J., Mahmoudi B., Fortes J., Principe J., Sanchez J., Co-adaptive Brain Machine Interface via Reinforcement Learning , Trans. on Biomedical Engineering, Vol. 56, No. 1, pp. 83-92, Dec 2008
  80. Weifeng Liu, Il Park, and José C. Príncipe, An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters , Trans. on Neural Networks, Vol. 20, No. 12, pp. 1950-1961, Dec 2008 DOI:10.1109/TNN.2009.2033676
  81. Darmanjian S., Principe J., Spatial-temporal Clustering of Neural data using Linked Mixtures of HMMs , EURASIP Journal on Applied Signal Processing, (Accepted)
  82. Dockendorf, K. P., Park, I. I., He, P., Principe, J. C., Liquid state machines and cultured cortical networks: The separation property , , Vol. 95, No. 2, pp. 90-97, Dec 2008
  83. Xu J., Paiva A., Park I., Principe J., A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning , Trans. on Signal Processing, Vol. 56, No. 12, pp. 5891-5902, Dec 2008
  84. Xu J., Principe J., A Pitch Detector Based on a Generalized Correlation Function , Trans. on Speech and Audio Processing, Vol. 16, No. 8, pp. 1420-1432, Nov 2008 DOI:10.1109/TASL.2008.2002039
  85. S. Rao, J. Principe, Mean Shift: An Information Theoretic Perspective , Trans. on Pattern Analysis and Machine Intelligence, Vol. 30, No. 3, pp. N/A-N/A, Oct 2008 DOI:http://dx.doi.org/10.1016/j.patrec.2008.
  86. Il Park, António R. C. Paiva, José Príncipe, Thomas B. DeMarse, An Efficient Algorithm for Continuous-time Cross Correlogram of Spike Trains , Journal of Neuroscience Methods, Vol. 168, No. 2, pp. 514-523, Mar 2008 DOI:10.1016/j.jneumeth.2007.10.005
  87. Weifeng Liu, Student Member, IEEE, Puskal P. Pokharel, Student Member, IEEE, and Jose C. Principe, Fellow, IEEE, The Kernel Least-Mean-Square Algorithm , Trans. on Signal Processing, Vol. 56, No. , pp. 543-554, Feb 2008
  88. R. Jenssen, D. Erdogmus, K. Hild, J. Principe, T. Eltoft, Information cut for clustering using a gradient descent approach , Pattern Recognition, Vol. 4, No. 3, pp. 796-806, Jan 2008
  89. Seungju Han, Sudhir Rao, Deniz Erdogmus, Kyu-Hwa Jeong, Jose Principe, A Minimum Error Entropy criterion with Self Adjusting Step-size (MEE-SAS) , Signal Processing, Vol. N/A, No. 87, pp. 2733-2745, Jan 2008
  90. Sanchez JC, Gunduz A, Carney PR, Principe JC., Extraction and localization of mesoscopic motor control signals for human ECoG neuroprosthetics. , Journal of Neuroscience Methods, Vol. 167, No. 1, pp. 63-81, Jan 2008
  91. J. Sanchez, J. Principe, T. Nishida, R. Bashirullah, J. Harris, J. Fortes, Technology and Signal Processing for Brain-Machine Interfaces , Signal Processing Magazine, Vol. 25, No. 1, pp. 29-40, Dec 2007 DOI:10.1109/MSP.2008.4408440
  92. Weifeng Liu, P.P.Pokharel, Jose C. Principe, Kernel Least Mean Square Algorithm , Trans. on Signal Processing, Vol. 56, No. 2, pp. 543-554, Dec 2007
  93. W. Liu, P. Pokharel, J. Principe, Correntropy: Properties and Applications in Non-Gaussian Signal Processing , Trans. on Signal Processing, Vol. 55, No. 11, pp. 5286-5298, Nov 2007 DOI:10.1109/TSP.2007.896065
  94. Weifeng Liu, Student Member, IEEE, Puskal P. Pokharel, Member, IEEE, and Jose C. Principe, Fellow, IEEE, Correntropy: Properties and Applications in Non-Gaussian Signal Processing , Trans. on Signal Processing, Vol. 55, No. 11, pp. 5286-5289, Nov 2007
  95. Han S., Rao S., Erdogmus D., Principe J., A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS) , Signal Processing, Vol. 87, No. 11, pp. 2733-2745, Nov 2007
  96. R. Li, W. Liu, J. Principe, A Unifying Criterion for Instantaneous Blind Source Separation Based on Correntropy , Signal Processing, Vol. 87, No. 8, pp. 1872-1881, Aug 2007
  97. Ruijiang Li, Jose C. Principe, Margaret Bradley, Vera Farrari, A novel spatiotemporal filtering methodology for single-trial ERP estimation , Trans. on Biomedical Engineering, Vol. 83, No. 92, pp. 56-1, May 2007
  98. J. Cho, A. Paiva, J-P. Kim, J. Sanchez, J. Principe, Self-organizing maps with dynamic learning for signal reconstruction , Neural Networks, Vol. 20, No. 2, pp. 274-284, Mar 2007
  99. M. Ozturk,J. Principe, An Associative Memory Readout for ENSs with applications to dynamical pattern recognition , Neural Networks, Vol. 20, No. 3, pp. 377-390, Mar 2007 DOI:doi:10.1016/j.neunet.2007.04.012
  100. A. Hegde, D. Erdogmus, D. Shiau, J. Prinicpe, C. Sackellares, Clustering Approach to Quantify Long-Term Spatio-temporal Interactions in Epileptic Intracranial EEG , , Vol. 2007, No. , pp. -, Jan 2007 DOI:10.1155/2007/83416
  101. J. Cho, J. Principe, D. Erdogmus, M. Motter, Quasi-sliding mode control strategy based on multiple linear models , NeuroComputing, Vol. 70, No. 4-6, pp. 962-974, Jan 2007
  102. M. Ozturk, D. Xu, J. Principe, Analysis and Design of Echo State Networks , Neural Computation, Vol. 19, No. 1, pp. 111-138, Jan 2007
  103. S. Haykin, J. Principe, Dynamic Moedling with Neural Networks (Making sense of a complex world [chaotic events modeling , Signal Processing Magazine, Vol. 15, No. 3, pp. 66-72, Jan 2007
  104. Huang, X,, Wu, H.-C., Principe, J.C., Robust Blind Beamforming Algorithm Using Joint Multiple Matrix Diagonalization , Sensors Journal, Vol. 7, No. 1, pp. 130-136, Jan 2007
  105. R. Jenssen, D. Erdogmus, J. Prinicpe, T. Eltoft, The Laplacien Classifier , Trans. on Signal Processing, Vol. 55, No. 7, pp. 3262-3271, Dec 2006 DOI:10.1109/TSP.2007.894391
  106. Ruijiang Li, Weifeng Liu, Jose C. Principe, A unifying criterion for instantaneous blind source separation based on correntropy , Signal Processing, Vol. 87, No. , pp. 1872-1881, Dec 2006
  107. J. Hu, J. Gao, J. Principe, Analysis of Biomedical Signals by the Lempel-Ziv Complexity: The Effect of Finite Data Size , Trans. Biomedical Engineering Letters, Vol. 53, No. 12, pp. 2606-2609, Dec 2006
  108. A.K. Barros, J. Principe, Y. Takeuchi, N. Ohnishi, Using non-linear even functions for error minimization in adaptive filters , NeuroComputing, Vol. 70, No. 1, pp. 9-13, Dec 2006
  109. C. Sackellares, D-S. Shaiu, J. C. Principe, M. Yang, L. Dance, Wichai Suharitdamrong, W. Chaovalitwongse, P. Pardalos, L. Iasemidis, Predictability analysis for an automated seizure preduction algorithm , Journal of Clinical Neurophysiology, Vol. 23, No. 6, pp. 509-520, Dec 2006
  110. R. Jenssen, D. Erdogmuis, J. Principe, Some Equivalence Between Kernel and Information Theoretic Methods , Journal of VLSI Signal Processing-Systems, Vol. 45, No. 1-2, pp. 49-65, Nov 2006 DOI:10.1007/s11265-006-9771-8
  111. D. Erdogmus, J. Principe, From Linear Adaptive Fiiltering to Nonlinear Information Processing , Signal Processing Magazine, Vol. 23, No. 6, pp. 14-23, Nov 2006 DOI:10.1109/SP-M.2006.248709
  112. Kenneth E. Hild II, Deniz Erdogmus, Kari Torkkola, Jose C. Principe, Feature extraction using information-theoretic learning , Trans. on Pattern Analysis and Machine Intelligence, Vol. 28, No. 9, pp. 1385-1392, Sep 2006
  113. Dongming Xu, Jose Principe, Computation in a reduced KII Network based on synchronization , International Journal of Intelligent Systems, Vol. 21, No. 9, pp. 919-935, Sep 2006
  114. R. Jenssen, J. Principe, D. Erdogmus, T. Eltoft, The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels , Journal of the Franklin Institute, Vol. 343, No. 6, pp. 614-629, Sep 2006
  115. I. Santamaria, P. Pokharel, J. Principe, Generalized Correlation Function: Definition, Properties, and Application to Blind Equalization , Trans. on Signal Processing, Vol. 54, No. 6, pp. 2187-2198, Jun 2006
  116. J. Cho, J. Principe, D. Erdogmus, M. Motter, Modeling and Inverse Controller Design for an Unmanned Aerial Vehicle Based on the Self-Organizing Map , Trans. on Neural Networks, Vol. 17, No. 2, pp. 445-460, Mar 2006
  117. Kenneth E. Hild II, Deniz Erdogmus, Jose C. Principe, Experimental upper bound for the performance of convolutive source separation methods , Trans. on Signal Processing, Vol. 54, No. 2, pp. 627-635, Feb 2006
  118. 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, Jan 2006
  119. 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 , Analog Integrated Circuits and Signal Processing, Vol. 198, No. 1, pp. 31-47, Jan 2006
  120. 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 Neurophysiology, Vol. 23, No. 6, pp. 509-520, Dec 2005
  121. Erdogmus D., Principe J., From Linear Adaptive Filtering to Nonlinear Signal Processing , Signal Processing Magazine, Vol. 23, No. , pp. 14-33, Dec 2005
  122. 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 , , Vol. 198, No. 1, pp. 31-47, Dec 2005
  123. Y. Rao, D. Erdogmus, G. Rao, J. Principe, Fast Error Whitening Algorithms for System Identification and Control with Noisy Data , NeuroComputing, Vol. 69, No. 1-3, pp. 158-181, Dec 2005
  124. A. Hegde, D. Erdogmus, D. Shiau, J. Principe, C. Sackellares, Quantifying Spatio-Temporal Dependencies in epileptic ECOG , Analog Integrated Circuits and Signal Processing, Vol. 85, No. 11, pp. 2082-2100, Nov 2005
  125. M. Johnson, J. Principe, Modeling and Detection of Limit Cycle Oscillations in Thin-Wing Aircraft Using Adaptive Linear Models , Journal of Aircraft, Vol. 42, No. 6, pp. 1576-1588, Nov 2005
  126. Kenneth E. Hild II, David Pinto, Deniz Erdogmus, Jose C. Principe, Convolutive blind source separation by minimizing mutual information between segments of signals , Trans. on Circuits and Systems I: Theory and Applications, Vol. 52, No. 10, pp. 2188-2196, Oct 2005
  127. Y. Zheng, J. Gao, J. Sanchez, J. Principe, M. Okun, Multiplicative multifractal modeling and discrimination of human neuronal activity , Physics Letters A, Vol. 344, No. 3, pp. 253-264, Sep 2005
  128. Kyu-Hwa Jeong, Jian-Wu Xu, Deniz Erdogmus, Jose C. Principe, A new classifier based on information theoretic learning with unlabeled data , Neural Networks, Vol. 18, No. 5, pp. 719-726, Jul 2005
  129. M. Lebedev, J. Carmena, J. Principe, M. Nicolelis, Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator controlled by a Brain Machine interface , NeuroScience, Vol. 2, No. 19, pp. 4681-4693, May 2005
  130. H. Zhang, MO Balaban, JC Principe, K Portier, Quantification of Spice Mixture Compositions with Electronic Nose, Part I. Data analysis using neural networks , Journal of Food Science, Vol. 70, No. 4, pp. E254-E258, Apr 2005
  131. D. Erdogmus, O. Fontenla-Romero, J. Principe, A. Alonso-Betanzos, E. Castillo, Linear Least-Squares Initialization of Multilayer Perceptrons Through Backpropagation of the Desired Response , Trans. on Neural Networks, Vol. 16, No. 2, pp. 325-337, Mar 2005
  132. Rao Y.N., Erdogmus D., Principe J.C., An Error Whitening Criterion for Adaptive Filtering , Trans. on Signal Processing, Vol. 53, No. 3, pp. 1057-1069, Mar 2005
  133. M. Lazaro, I. Santamaria, D. Erdogmus, K. Hild, C. Pantaleon, Stochastic Blind Equalization based on PDF Fitting using Parzen Estimator , Trans. on Signal Processing, Vol. 53, No. 2, pp. 696-704, Feb 2005
  134. Seungju Han, Sudhir Rao, Deniz Erdogmus, Jose Principe, AN IMPROVED MINIMUM ERROR ENTROPY CRITERION WITH SELF ADJUSTING STEP-SIZE , Signal Processing, Vol. 87, No. , pp. 2733-2745, Feb 2005
  135. S.P. Kim, Y.N. Rao, D. Erdogmus, J.C. Sanchez, M.A. Nicolelis, J.C. Principe, Determining Patterns in Neural Activity for Reaching Movements Using Non-Negative Matrix Factorization , EURASIP Journal on Applied Signal Processing, Vol. 2005, No. 4, pp. 3113-3121, Jan 2005
  136. Jing Lan, Jeongho Cho, Deniz Erdogmus, Jose C. Principe, Mark A. Motter and Jianwu Xu, Local linear PID controllers for nonlinear control , International Journal of Control and Intelligent Systems, Vol. 33, No. 1, pp. 26-35, Jan 2005
  137. A. Teixeira, R. Martinez, L. Silva, L. Jesus, J. Principe, F. Vaz, Simulation of Human Speech Production Applied to theStudy and Synthesis of Europesn Portuguese , EURASIP Journal on Applied Signal Processing, Vol. 9, No. 1, pp. 1-15, Jan 2005
  138. T. Lehn-Schioler, A. Hegde, D. Erdogmus, J. Principe, Information Theoretic Vector-Quantization , Natural Computing, Vol. 4, No. 1, pp. 39-51, Jan 2005
  139. Erdogmus D., O. Fontenla-Romero, J.C. Principe, A. Alonso-Betanzos, E. Castillo, Linear-Least-Squares Initialization of Multilayer Perceptrons Through Backpropagation of the Desired Response , Trans. on Neural Networks, Vol. 16, No. 2, pp. 325-337, Dec 2004
  140. Dongming Xu, Jose Principe, Dynamical Analysis of Neural Oscillators in an Olfactory Cortex Model , Trans. on Neural Networks, Vol. 15, No. 5, pp. 1053-1062, Sep 2004
  141. D. Erdogmus, R. Yan , E.G. Larsson, J.C. Principe, J.R. Fitzsimmons, Image Construction Methods for Phased Array Magnetic Resonance Imaging , Journal of Magnetic Resonance Imaging, Vol. 20, No. N/A, pp. 306-314, Aug 2004
  142. R. Morejon, J. Principe, Advanced Parameter Search Algorithms for Information-Theoretic Learning , Trans. on Neural Networks, Vol. 15, No. 4, pp. 874-884, Jul 2004
  143. D. Erdogmus, J. Principe, Lower and Upper Bounds for Misclassification Probability based on Renyi's Information , Journal of VLSI Signal Processing-Systems, Vol. 37, No. 2-3, pp. 305-317, Jun 2004
  144. Deniz Erdogmus, Kenneth E. Hild II, Marcelino Lazaro, Ignacio Santamaria, Jose C. Principe, Adaptive Blind Deconvolution of Linear Channels Using Renyi's Entropy with Parzen Estimation , Trans. on Signal Processing, Vol. 52, No. 6, pp. 1489-1498, Jun 2004
  145. Deniz Erdogmus, Kenneth E. Hild II, Yadunandana N. Rao, Jose C. Principe, Minimax Mutual Information Approach for Independent Components Analysis , Neural Computation, Vol. 16, No. 6, pp. 1235-1252, Jun 2004
  146. Justin C. Sanchez, Jose M. Carmena, Mikhail A. Lebedev, Miguel A.L. Nicolelis, John G. Harris, Jose C. Principe, Ascertaining the Importance of Neurons to Develop Better Brain-Machine Interfaces , Trans. on Biomedical Engineering, Vol. 51, No. 6, pp. 943-953, Jun 2004 DOI:10.1109/TBME.2004.827061
  147. Y. Rao, J. Prinicpe. T. Wong, Fast RLS-Like Algorithm for Generalized Eigendecomposition and its applications , Journal of VLSI Signal Processing-Systems, Vol. 37, No. 2-3, pp. 333-334, Jun 2004
  148. D. Erdogmus, J. Principe, Information Theoretical lower and upper bounds for error probability of classifiers , Journal of VLSI Signal Processing-Systems, Vol. 37, No. 2-3, pp. 305-317, Jun 2004
  149. D. Erdogmus, Y. Rao, H. Peddaneni, A. Hegde, J. Principe, Recursive principal components analysis usingeigenvector matrix perterbation , EURASIP Journal on Applied Signal Processing, Vol. 2004, No. 13, pp. 2034-2041, Mar 2004
  150. D. Erdogmus, E.G. Larsson, R. Yan, J.C. Principe, J.R. Fitzsimmons, Asymptotic SNR-Performance of Some Image Combination Techniques for Phased-Array MRI , Signal Processing, Vol. 84, No. 6, pp. 997-1003, Dec 2003
  151. D. Erdogmus, E.G. Larsson, R. Yan, Jose C. Principe, J.R. Fitzsimmons, Measuring the Signal-to-Noise-Ratio in Magnetic Resonance Imaging: A Caveat , Signal Processing, Vol. 84, No. 6, pp. 1035-1040, Dec 2003
  152. H. Zhang, M. Balaban, J. Principe, Improving Pattern Recognition of Electronic Nose Data with Time-Delay Neural Networks , Sensors and Actuators B: Chemical, Vol. 96, No. 1-2, pp. 385-389, Nov 2003
  153. Darmanjian, S; Sung Phil Kim, Nechyba, M.C.; Morrison, S; Principe, J.; Wessbert, J; Nicoleilis, MAL, Bimodal Brain-Machine Interface for Motor Contr Control of robotic prosthetic , Proc. of IEEE, Vol. 4, No. N/A, pp. 3612-3617, Oct 2003 DOI:10.1109/IROS.2003.1249716
  154. J. Gao, Y. Cao, L. Gu, J. Harris, J. Principe, Detection of weak transitions in signal dynamics using recurrence time statistics , Physics Letters A, Vol. 317, No. 1-2, pp. 64-72, Oct 2003
  155. Kenneth E. Hild II, Deniz Erdogmus, Jose C. Principe, Corrections to 'Blind Source Separation Using Renyi's Mutual Information' , Signal Processing Letters, Vol. 10, No. 8, pp. 250-250, Aug 2003
  156. Deniz Erdogmus, Jose C. Principe, Kenneth E. Hild II, On-Line Entropy Manipulation: Stochastic Information Gradient , Signal Processing Letters, Vol. 10, No. 8, pp. 242-245, Aug 2003
  157. Deniz Erdogmus, Jose C. Principe, Convergence Properties and Data Efficiency of the Minimum Error Entropy Criterion in ADALINE Training , Trans. on Signal Processing, Vol. 51, No. 7, pp. 1966-1978, Jul 2003
  158. Y. Rao, D. Erdogmus, G. Rao, J. Principe, Stochastic Error Whitening Algorithm for Linear Filter Estimation with Noisy Data , Neural Networks, Vol. 16, No. 5-6, pp. 873-880, Jul 2003
  159. S.P. Kim, J.C. Sanchez, D. Erdogmus, Y.N. Rao, J.C. Principe, M. Nicolelis, Divide-and-Conquer Approach for Brain Machine Interfaces: Nonlinear Mixture of Competitive Local Linear Models , Neural Networks, Vol. 16, No. 5-6, pp. 865-871, Jun 2003
  160. L. Iasemidis, D. Shiau, W. Chaowolitwongse, C. Sackellares, J. Principe, Adaptive epileptic seizure prediction system , Trans. on Biomedical Engineering, Vol. 50, No. 5, pp. 616-627, May 2003
  161. Vikas Sindhwani, Subrata Rakshit, Dipti Deodhar, Deniz Erdogmus, Jose C. Principe, Partha Niyogi, Feature Selection in MLPs and SVMs based on Maximum Output Information , Trans. on Neural Networks, Vol. 15, No. 4, pp. 937-948, Apr 2003
  162. I. Santamaria, R. Gonzalez, C. Pantaleon, J. Principe, Maximum Margin Equalizers trained with the Adatron Algorithm , Signal Processing, Vol. 83, No. 3, pp. 593-602, Mar 2003
  163. Santamaria I., Gonzalez R., Pantaleon C., Principe J.C.,, Maximum Margin Equalizers Trained with the Adatron Algorithm , Signal Processing, Vol. 83, No. 3, pp. 593-602, Mar 2003 DOI:10.1016/S0165-1684(02)00490-5
  164. E. Gokcay, J. Principe, Information Theoretic Clustering , Trans. on Pattern Analysis and Machine Intelligence, Vol. 24, No. 2, pp. 158-171, Feb 2003
  165. Erik G. Larsson, Deniz Erdogmus, Rui Yan, Jose C. Principe, Jeffrey R. Fitzsimmons, SNR-optimality of Sum-of-Squares Reconstruction for Phased-Array Magnetic Resonance Imaging , Journal of Magnetic Resonance, Vol. 163, No. 1, pp. 121-123, Jan 2003
  166. Deniz Erdogmus, Kenneth E. Hild II, Jose C. Principe, Blind Source Separation Using Renyi's a-Marginal Entropies , NeuroComputing, Vol. 49, No. 1, pp. 25-38, Dec 2002
  167. Deniz Erdogmus, Yadunandana N. Rao, Kenneth E. Hild II, Jose C. Principe, Simultaneous Principal Component Extraction with Application to Adaptive Blind Multiuser Detection , EURASIP Journal on Applied Signal Processing, Vol. 2002, No. 12, pp. 1473-1484, Dec 2002
  168. J. Principe, N. Euliano, S. Garani, Principles and Networks for self-organization in space time , Neural Networks, Vol. 15, No. 8-9, pp. 1069-1083, Oct 2002
  169. Deniz Erdogmus, Jose C. Principe, Generalized Information Potential Criterion for Adaptive System Training , Trans. on Neural Networks, Vol. 13, No. 5, pp. 1035-1044, Sep 2002
  170. Deniz Erdogmus, Jose C. Principe, An Error-Entropy Minimization Algorithm for Supervised Training of Nonlinear Adaptive Systems , Trans. on Signal Processing, Vol. 50, No. 7, pp. 1780-1786, Jul 2002
  171. I. Santamaria, D. Erdogmus, J.C. Principe, Entropy Minimization for Supervised Digital Communications Channel Equalization , Trans. on Signal Processing, Vol. 50, No. 5, pp. 1184-1192, May 2002
  172. Deniz Erdogmus, Jose C. Principe, Kenneth E. Hild II, Beyond Second-Order Statistics for Learning: A Pairwise Interaction Model for Entropy Estimation , Natural Computing, Vol. 1, No. 1, pp. 85-108, May 2002
  173. Y. Rao, J. Principe, Time Series Segmentation Using a Novel Adaptive Eigendecomposition Algorithm , Journal of VLSI Signal Processing-Systems, Vol. 32, No. 1-2, pp. 7-17, Apr 2002
  174. Deniz Erdogmus, A. Umut Genc, Jose C. Principe, A Neural Network Perspective to Extended Luenberger Observers , Institute of Measurement and Control, Vol. 35, No. 2, pp. 10-16, Feb 2002
  175. J. Principe, V. Tavares, J. Harris, W. Freeman, Design and implementation of a biologically realistic olfactory cortex in alalog VLSI , Proc. of IEEE, Vol. 89, No. 7, pp. 1030-1051, Jul 2001
  176. Kenneth E. Hild II, Deniz Erdogmus, Jose Principe, Blind Source Separation Using Renyi's Mutual Information , IEEE Signal Processing Letters, Vol. 8, No. 6, pp. 174-176, Jun 2001
  177. Q. Zhao, J. Principe, Forming Large Margins with Support Vector Machines for Synthetic Aperture Radar Automatic Target Recognition , Trans. on Aerospace and Electronic Systems, Vol. 37, No. 2, pp. 643-654, Apr 2001
  178. Jose C. Principe, Dongxin Xu, Qun Zhao, John Fisher, Learning from examples with information theoretic criteria , Journal of VLSI Signal Processing-Systems, Vol. 26, No. 1-2, pp. 61-77, Aug 2000
  179. John Harris, Chiang-Jung Pu, Jose C. Principe, A biologically-inspired monaural sound localizer , Analog Integrated Circuits and Signal Processing, Vol. 23, No. 2, pp. 163-172, Jun 2000
  180. Qun Zhao, Jose C. Principe, Victor Brennan, Dongxin Xu, Z. Wang, Synthetic aperture radar automatic target recognition with three strategies of learning and representation , Optical Engineering, Vol. 39, No. 5, pp. 1230-1244, May 2000
  181. Jose C. Principe, Neil Euliano, W. Curt Lefebvre, Innovating adaptive, neural systems instruction with interactive electronic books , Proc. of IEEE, Vol. 88, No. 1, pp. 81-95, Jan 2000
  182. Chuan Wang, Jose C. Principe, Training neural networks with additive noise in the desired signal , Trans. on Neural Networks, Vol. 10, No. 6, pp. 1511-1517, Nov 1999
  183. V. Tavares, J. Principe, J. Harris, F&H Filter: a novel ultra-low , Electronics Letters, Vol. 35, No. 15, pp. 1226-1227, Jul 1999
  184. Frank Candocia, Jose C. Principe, Super-resolution of images based on local correlations , Trans. on Neural Networks, Vol. 10, No. 2, pp. 372-380, Mar 1999
  185. John Harris, Jui-Kuo Juan, Jose C. Principe, Analog hardware implementation of continuous-time adaptive filter structures , Analog Integrated Circuits and Signal Processing, Vol. 18, No. {2-3}, pp. 209-227, Feb 1999
  186. J. Hwang, S. Kung, M. Niranjan, Jose C. Principe, The past, present, and future of neural networks for signal processing , Signal Processing Magazine, Vol. 14, No. 6, pp. 28-48, Nov 1998
  187. Dongxin Xu, Jose C. Principe, Hsiao-Chun Wu, Generalized eigendecomposition with an on-line local algorithm , Signal Processing Letters, Vol. 5, No. 11, pp. 298-301, Nov 1998
  188. Jose C. Principe, Ludong Wang, Mark Motter, Local dynamic modeling with self-organizing maps and applications to nonlinear system identification and control , Proc. of IEEE, Vol. 86, No. 11, pp. 2240-2258, Nov 1998
  189. Craig Fancourt, Jose C. Principe, Competitive principle component analysis for locally stationary time series , Trans. on Signal Processing, Vol. 46, No. 11, pp. 3068-3081, Nov 1998
  190. C. Fancourt, J. Principe, Competitive prinicpal component analysis for locally stationary time series , Trans. on Signal Processing, Vol. 46, No. 11, pp. 3068-3082, Nov 1998
  191. Jose C. Principe, Munchurl Kim, John Fisher, Target discrimination in synthetic aperture radar (SAR) using artificial neural networks , Trans. on Image Processing, Vol. 7, No. 8, pp. 1136-1149, Aug 1998
  192. Frank Candocia, Jose C. Principe, Comments on sinc interpolation of discrete periodic signals , Trans. on Signal Processing, Vol. 46, No. 7, pp. 2044-2047, Jul 1998
  193. Jose C. Principe, A. Radisavljevic, John Fisher, M. Haytt, L. Novak, Target prescreening based on a quadratic gamma discriminator , Trans. on Aerospace and Electronic Systems, Vol. 34, No. 3, pp. 209-213, Jul 1998
  194. Simon Haykin, Jose C. Principe, Making sense of a complex world [chaotic events modeling] , Signal Processing Magazine, Vol. 15, No. 3, pp. 66-81, May 1998
  195. William Edmonson, K. Srinivasan, Chuan Wang, Jose C. Principe, A Global Least square algorithm for adaptive IIR filtering , Trans. on Circuits and Systems I: Theory and Applications, Vol. 45, No. 3, pp. 379-384, Mar 1998
  196. John Fisher, Jose C. Principe, Recent advances to nonlinear MACE filters , Optical Engineering, Vol. 36, No. 10, pp. 2697-2709, Oct 1997
  197. Odelia Schwartz, John Harris, Jose C. Principe, Modeling the precedence effect for speech using the gamma filter , Neural Networks, Vol. 12, No. 3, pp. 409-417, Mar 1997
  198. Neil Euliano, Jose C. Principe, P. Kulzer, A self-organizing temporal pattern recognizer with application to robot landmark recognition , Spatiotemporal Models in Biological and Artificial Systems, Vol. NIL, No. NIL, pp. 41-48, Nov 1996
  199. L. Fu, Hui-Huang Hsu, Jose C. Principe, Incremental Backpropagation Networks , Trans. on Neural Networks, Vol. 7, No. 3, pp. 757-761, May 1996
  200. Jose C. Principe, NeuroSolutions: an Object Oriented Evolution , PC AI Magazine, Vol. 9, No. 6, pp. 49-51, Nov 1995
  201. John Fisher, Jose C. Principe, A Nonlinear Extension of the Mace Filter , Neural Networks, Vol. 8, No. {7-8}, pp. 1131-1141, Oct 1995
  202. Donald Childers, Jose C. Principe, Y. Ting, K. Lee, Adaptive WRLS-VFF for speech analysis , Trans. on Signal Processing, Vol. 3, No. 3, pp. 209-213, May 1995
  203. Samel Celebi, Jose C. Principe, Parametric least squares approximation using gamma bases , Trans. on Signal Processing, Vol. 43, No. 3, pp. 781-784, Mar 1995
  204. J. Tracey, Jose C. Principe, Isolated word speech recognition using the focused gamma neural network , Journal of Artificial Neural Networks, Vol. 1, No. 4, pp. 481-499, Jun 1994
  205. Haan Go Choi, Jose C. Principe, A. Hutchison, Multiresolution Segmentation of respiratory EMG signals , Trans. on Biomedical Engineering, Vol. 41, No. 3, pp. 257-266, Mar 1994
  206. Jose C. Principe, James Kuo, Samel Celebi, An analysis of the gamma memory in dynamic neural networks , Trans. on Neural Networks, Vol. 5, No. 2, pp. 331-337, Mar 1994
  207. Tom Davis, Jose C. Principe, A Markov chain framework for the simple genetic algorithm , Journal of Evolutionary Computing, Vol. 1, No. 3, pp. 269-288, Nov 1993
  208. Jose C. Principe, T. Chang, S. Gala, Ana Maria Tome, Information processing models for sleep staging , Expert Systems with Applications, Vol. 6, No. NIL, pp. 399-409, Oct 1993
  209. Jose C. Principe, Bert deVries, Pedro Guedes de Oliveira, The gamma filter: a new class of adaptive IIR filters with restricted feedback , Trans. on Signal Processing, Vol. 41, No. 2, pp. 649-656, Feb 1993
  210. C. Koch, R. Palovcik, Jose C. Principe, Chaotic activity during iron induced `epileptiform' discharges in rat hippocampal slices , Trans. on Biomedical Engineering, Vol. 39, No. 11, pp. 1152-1160, Nov 1992
  211. Bert deVries, Jose C. Principe, The gamma model - A new neural model for temporal processing , Neural Networks, Vol. 5, No. 4, pp. 565-576, Jul 1992
  212. Jose C. Principe, Alok Rathie, Jyh-Ming Kuo, Prediction of chaotic time series with neural networks, the issue of dynamic modeling , Intl. Journal of Bifurcation and Chaos, Vol. 2, No. 4, pp. 989-996, May 1992
  213. Jose C. Principe, Seung-Hun Park, A distributed knowledge-based system for EEG processing in epilepsy , Automedica, Vol. 14, No. 0, pp. 81-99, Jun 1991
  214. Jose C. Principe, Taehwan Yoon, A new algorithm for the detection of tool breakage in milling , Intl. Journal of Machine Tools and Manufacture, Vol. 31, No. 4, pp. 443-454, Jun 1991
  215. R.A. Palovcik, S.A. Reid, Jose C. Principe, A. Albuquerque, 3-D computer animation of electrophysiological responses , Journal of Neuroscience Methods, Vol. 41, No. 1, pp. 1-9, Jan 1991
  216. S. Park, Jose C. Principe, J. Smith, TDAT - Time domain analysis tool for EEG analysis , Trans. on Biomedical Engineering, Vol. 37, No. 8, pp. 803-811, Aug 1990
  217. Tae G. Chang, Jack R. Smith, Jose C. Principe, A knowledge-based system for the automated on line classification of EEG/EOG signals , Journal of Microcomputer Applications, Vol. 10, No. 2, pp. 54-65, Mar 1990
  218. Jose C. Principe, S. Gala, T. Chang, Sleep staging automation based on the theory of evidence , Trans. on Biomedical Engineering, Vol. 36, No. 5, pp. 503-509, May 1989
  219. C. McLochlin, Jose C. Principe, J. Smith, A data compression algorithm for the electroencephalogram , Intl. Journal of Medical Informatics, Vol. 22, No. NIL, pp. 83-95, Mar 1988
  220. Pedro Guedes de Oliveira, Jose C. Principe, A. Cruz, Ana Maria Tome, HIDRA - A hierarchical instrument for distributed real-time analysis of biological signals , Trans. on Biomedical Engineering, Vol. BME-34, No. NIL, pp. 921-927, Dec 1987
  221. Francisco Vaz, Pedro Guedes de Oliveira, Jose C. Principe, A study of the best order for autoregressive EEG modeling , Intl. Journal of Medical Informatics, Vol. 20, No. NIL, pp. 41-50, Jan 1987
  222. Jose C. Principe, J. Smith, SAMICOS - A sleep analyzing microcomputer system , Trans. on Biomedical Engineering, Vol. {BME-33}, No. NIL, pp. 935-941, Oct 1986
  223. Jose C. Principe, Jack Smith, Design, implementation of linear phase FIR filters for biological signal processing , Trans. on Biomedical Engineering, Vol. {BME-33}, No. 6, pp. 550-559, Jun 1986
  224. Jose C. Principe, Jack Smith, Sleep spindle characteristics as a function of age , Sleep, Vol. 5, No. 1, pp. 73-84, Sep 1984
  225. Jose C. Principe, J. Smith, Microcomputer based system for the detection and quantification of Petit Mal Epilepsy , Computers in Biology and Medicine, Vol. 12, No. 2, pp. 87-95, May 1982
  226. Yiwen Wang, Jose C. Principe, Instantaneous Estimation of Motor Cortical Neural Encoding for online Brain-Machine Interfaces , Journal of Neural Engineering, (Accepted)

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