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Journal Papers

  1. Gabriel Nallathambi, Jose Principe, Theory and Algorithms for Pulse Signal Processing , IEEE Trans Circuits and Systems, Vol. 67, No. 8, pp. 2707-2718, Aug 2020 DOI:doi.org/10.1109/TCSI.2020.2981318
  2. Zhengda Qin, Badong Chen, Yuantao Gu, Nanning Zheng, Jose Principe, Probability Density Rank-Based Quantization for Convex Universal Learning Machines , IEEE Trans on Neural Networks and Learning Systems, Vol. 31, No. 8, pp. 3100-3113, Aug 2020 DOI:10.1109/TNNLS.2019.2935502
  3. Ying Ma and Jose Principe, A Taxonomy for Neural Memory Networks , IEEE Trans on Neural Networks and Learning Systems, Vol. 31, No. 6, pp. 1780-1793, Jun 2020 DOI:10.1109/TNNLS.2019.2926466
  4. Shiyu Duan, Shujian, Yunmei Chen, Jose Principe, On Kernel MethodBased Connectionist Models and Supervised Deep Learning Without Backpropagation , Neural Computation, Vol. 32, No. , pp. 97-135, Jan 2020 DOI:10.1162/neco_a_01250
  5. Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, Jose C. Principe, Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration , Trans. on Neural Networks, Vol. , No. , pp. -, Dec 2019 DOI:10.1109/TNNLS.2020.2968509
  6. Zhengda Qin, Badong Chen, Nanning Zheng, Jose Principe, Augmented Space Linear Models , IEEE Trans Signal Processing, Vol. 68, No. , pp. 2724-2738, Dec 2019 DOI:doi: 10.1109/TSP.2020.2987053.
  7. Jianyi Liu, Jose Principe, Arash Andalib, Fast spatio-temporal decorrelation using FIR filter network with decoupled adaptive step sizes , Digital Signal Processing, Vol. 96, No. , pp. 10259-, Dec 2019 DOI:10.1016/j.dsp.2019.102595
  8. Lujuan Dang, Badong Chen, Shiyuan Wang, Yuantao Gu, Jose Principe, Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion , IEEE Trans on Circuits and Systems, Vol. 66, No. 11, pp. 4265-4277, Nov 2019 DOI:10.1109/TCSI.2019.2920773
  9. Shujian Yu, Luis Gonzalo Sanchez Giraldo, Robert Jenssen, Jose C. Principe, Multivariate Extension of Matrix-based Renyi's \alpha-order Entropy Functional , Trans. on Pattern Analysis and Machine Intelligence, Vol. , No. , pp. -, Aug 2019 DOI:10.1109/TPAMI.2019.2932976
  10. Badong Chen, Lei Xing, Haiquan Zhao, Shaoyi Du, Jose Principe, Effects of Outliers on the Maximum Correntropy Estimation: A Robustness Analysis , IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. , No. , pp. -, Aug 2019 DOI:10.1109/TSMC.2019.2931403
  11. Badong Chen, Xin Wang, Yingsong Li, Jose Principe, Maximum Correntropy Criterion With Variable Center , IEEE Signal Processing Letters, Vol. 26, No. 8, pp. 1212-1216, Aug 2019 DOI:10.1109/LSP.2019.2925692
  12. Badong Chen, Lei Xing, Nanning Zheng, and Jose Principe, Quantized Minimum Error Entropy Criterion , IEEE Trans on Neural Networks and Learning Systems, Vol. 30, No. 5, pp. 1370-1380, May 2019 DOI:10.1109/TNNLS.2018.2868812
  13. Tamas Kapelner, Ivan Vujaklija, Ning Jiang, Francesco Negro, Oskar Aszmann, Jose Principe, Dario Farina, Predicting Wrist Kinematics From Motor Unit Discharge Timings for the Control of Active Prostheses , Journal of NeuroEngineering & Rehabilitation , Vol. 1, No. , pp. 47-, Apr 2019 DOI:10.1186/s12984-019-0516-x
  14. Isaac Sledge and Jose Principe, Reduction of Markov Chains Using a Value-of-Information-Based Approach , Entropy, Vol. 21, No. 4, pp. 349-, Mar 2019 DOI:10.3390/e21040349
  15. Shujian Yu, Jose C. Principe, Simple Stopping Criteria for Information Theoretic Feature Selection , Entropy, Vol. , No. , pp. -, Jan 2019 DOI:10.3390/e21010099
  16. Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, Jose C. Principe, Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing , Journal of the Franklin Institute, Vol. , No. , pp. -, Dec 2018 DOI:10.1016/j.jfranklin.2019.01.043
  17. Shujian Yu, Jose C. Principe, Understanding Autoencoders with Information Theoretic Concepts , Neural Networks, Vol. , No. , pp. -, Dec 2018 DOI:10.1016/j.neunet.2019.05.003
  18. Kan Li and Jose C. Principe, Functional Bayesian Filter , , Vol. , No. , pp. -, Dec 2018
  19. Kristoffer Wickstrom, Sigurd Lokse, Michael Kampffmeyer, Shujian Yu, Jose Principe, Robert Jenssen, Information Plane Analysis of Deep Neural Netowrks via Matrix-Based Renyi's Entropy and Tensor Kernels , , Vol. , No. , pp. -, Dec 2018
  20. Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, Jose Principe, Minimum Error Entropy Kalman Filteradaptive step sizes , IEEE Trans on Systems, Man, and Cybernetics: Systems, (Accepted)
  21. Xiaowei Gu, Plamen Angelov, and Jose Principe, A method for autonomous data partitioning , Information Sciences, Vol. 460-461, No. , pp. 65-82, Oct 2018 DOI:10.1016/j.ins.2018.05.030
  22. Joao P.F. Guimaraes, Aluisio I.R. Fontes, Joilson B.A. Rego, Allan de M. Martins, and Jose Principe, Complex correntropy function: Properties, and application to a channel equalization problem , Expert Systems with Applications, Vol. 107, No. , pp. 173-181, Oct 2018 DOI:10.1016/j.eswa.2018.04.020
  23. Zheng Cao, Shujian Yu, Bing Ouyang, Fraser Dalgleish, Anni Vuorenkoski, Gabriel Alsenas, Jose Principe, Marine Animal Classification with Correntropy Loss Based Multi-view Learning , Journal of Oceanic Engineering, Vol. 99, No. , pp. 1-14, Aug 2018 DOI:10.1109/JOE.2018.2861500
  24. Plamen Angelov, Xiaowei Gu, and Jose Principe, Autonomous Learning Multimodel Systems From Data Streams , IEEE Trans on Fuzzy Systems, Vol. 26, No. 4, pp. 2213-2224, Aug 2018 DOI:10.1109/TFUZZ.2017.2769039
  25. Isaac Sledge, Matthew Emigh, and Jose Principe, Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information Criterion , IEEE Trans on Neural Networks and Learning Systems, Vol. 29, No. 6, pp. 2080-2098, Jun 2018 DOI:10.1109/TNNLS.2018.2812709
  26. Pablo Huijse, Pablo Estevez, Francisco Forster, Scott Daniel, Andrew Connolly, Pavlos Protopapas, Rodrigo Carrsco, and Jose Principe, Robust Period Estimation Using Mutual Information for Multiband Light Curves in the Synoptic Survey Era , The Astrophysical Journal, Vol. 236, No. 1, pp. -, May 2018 DOI:10.3847/1538-4365/aab77c
  27. 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
  28. 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
  29. Stefan Craciun, Robert Kirchgessner, Alan George, Herman Lam, and Jose Principe, A real-time, power-efficient architecture for mean-shift image segmentation , Journal of Real-Time Image Processing, Vol. 14, No. , pp. 379-394, Feb 2018 DOI:10.1007/s11554-014-0459-1
  30. 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
  31. Xiaowei Gu, Plamen Angelov, Dmitry Kangin, and Jose Principe, Self-Organised direction aware data partitioning algorithm , Information Sciences, Vol. 423, No. , pp. 80-95, Jan 2018 DOI:10.1016/j.ins.2017.09.025
  32. 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
  33. 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
  34. Losa, Carlos, Michael S. Okun, and Jose Principe, A Marked Point Process Framework For Extracellular Electrical Potentials , Frontiers in Neuroscience, Vol. 11, No. , pp. -, Dec 2017 DOI:https://doi.org/10.3389/fnsys.2017.00095
  35. Angelov, Plamen P., Xiaowei Gu, and Jos C. Prncipe. , A Generalized Methodology for Data Analysis , IEEE Trans on Cybernetics, Vol. 48, No. 10, pp. 2981-2993, Oct 2017 DOI:https://doi.org/10.1109/TCYB.2017.2753880
  36. Luan, Zhirong, Hua Qu, Jihong Zhao, Badong Chen, and Jose Principe, Fairness Constrained Diffusion Adaptive Power Control for Dense Small Cell Network , Journal of NeuroEngineering and Rehabilitation, Vol. 68, No. , pp. 373-384, Oct 2017 DOI:https://doi.org/10.1007/s11235-017-0387-z
  37. Gu, Xiaowei, Plamen P. Angelov, Dmitry Kangin, and Jos C. Prncipe. , A new type of distance metric and its use for clustering , Evolving Systems, Vol. 8, No. 3, pp. 167-177, Sep 2017 DOI:https://doi.org/10.1007/s12530-017-9195-7
  38. Philips, Gavin R., Janis J. Daly, and Jose Principe, Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery , Journal of NeuroEngineering and Rehabilitation, Vol. 14, No. 1, pp. -, Jul 2017 DOI:https://doi.org/10.1186/s12984-017-0277-3
  39. 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)
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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)
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. Principe J., Neural Signal Processing in BMIs , Computational Intelligence Magazine, (Accepted)
  57. Seth S., Principe J., Learning dependence from samples , International Journal of Bioinformatics Research and Applica, (Accepted)
  58. Vidal A., Tavares V., Principe J., PVP Power Maximization with Single-Variable Measurement , Trans. on Power Systems, (Accepted)
  59. , Online Active Learning for Automatic Target Recognition , Journal of Oceanic Engineering, (Accepted)
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. 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
  67. 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
  68. 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
  69. Rakesh Chalasani, Jose C. Principe, Self Organizing Maps with Information Theoretic Learning , NeuroComputing, (Accepted)
  70. Rakesh Chalasani, Jose C. Principe, Context Dependent Encoding using Convolutional Dynamic Networks , Trans. on Neural Networks, (Accepted)
  71. 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
  72. 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
  73. 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
  74. 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
  75. 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
  76. 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
  77. 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
  78. 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
  79. 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
  80. 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)
  81. 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
  82. Badong Chen, Songlin Zhao, Pingping Zhu, Jose C. Principe, Mean Square Convergence Analysis for Kernel Least Mean Square Algorithm , Signal Processing, (Accepted)
  83. 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
  84. 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
  85. 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
  86. 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
  87. 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
  88. 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
  89. 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
  90. 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
  91. 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
  92. 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
  93. 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
  94. 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
  95. 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
  96. 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
  97. 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
  98. 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
  99. 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
  100. 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
  101. 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
  102. 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
  103. Jeong K-H, Liu W., Principe J., The correntropy MACE filter , Pattern Recognition, Vol. 42, No. 5, pp. 871-885, May 2009
  104. 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
  105. 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
  106. 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
  107. 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
  108. Rao, S., Martins A.,Principe J., Mean shift: An information theoretic perspective , Pattern Recognition, Vol. 30, No. 3, pp. 222-230, Feb 2009
  109. 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
  110. Catalin S. Buhimschi , Spatiotemporal electrohysterography patterns in normal and arrested labor , , Vol. 200, No. 1, pp. 1-3, Jan 2009
  111. 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
  112. 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
  113. 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
  114. Darmanjian S., Principe J., Spatial-temporal Clustering of Neural data using Linked Mixtures of HMMs , EURASIP Journal on Applied Signal Processing, (Accepted)
  115. 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
  116. 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
  117. 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
  118. 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.
  119. 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
  120. 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
  121. 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
  122. 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
  123. 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
  124. 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
  125. 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
  126. 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
  127. 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
  128. 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
  129. 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
  130. 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
  131. 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
  132. 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
  133. 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
  134. 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
  135. M. Ozturk, D. Xu, J. Principe, Analysis and Design of Echo State Networks , Neural Computation, Vol. 19, No. 1, pp. 111-138, Jan 2007
  136. 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
  137. 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
  138. 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
  139. 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
  140. 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
  141. 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
  142. 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
  143. 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
  144. 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
  145. 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
  146. 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
  147. 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
  148. 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
  149. 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
  150. 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
  151. 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
  152. 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
  153. 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
  154. Erdogmus D., Principe J., From Linear Adaptive Filtering to Nonlinear Signal Processing , Signal Processing Magazine, Vol. 23, No. , pp. 14-33, Dec 2005
  155. 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
  156. 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
  157. 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
  158. 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
  159. 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
  160. 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
  161. 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
  162. 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
  163. 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
  164. 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
  165. 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
  166. 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
  167. 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
  168. 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
  169. 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
  170. 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
  171. T. Lehn-Schioler, A. Hegde, D. Erdogmus, J. Principe, Information Theoretic Vector-Quantization , Natural Computing, Vol. 4, No. 1, pp. 39-51, Jan 2005
  172. 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
  173. 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
  174. 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
  175. 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
  176. 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
  177. 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
  178. 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
  179. 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
  180. 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
  181. 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
  182. 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
  183. 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
  184. 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
  185. 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
  186. 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
  187. 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
  188. 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
  189. 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
  190. 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
  191. 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
  192. 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
  193. 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
  194. 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
  195. 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
  196. 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
  197. E. Gokcay, J. Principe, Information Theoretic Clustering , Trans. on Pattern Analysis and Machine Intelligence, Vol. 24, No. 2, pp. 158-171, Feb 2003
  198. 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
  199. 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
  200. 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
  201. 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
  202. 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
  203. 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
  204. 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
  205. 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
  206. 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
  207. 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
  208. 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
  209. 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
  210. 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
  211. 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
  212. 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
  213. 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
  214. 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
  215. 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
  216. V. Tavares, J. Principe, J. Harris, F&H Filter: a novel ultra-low , Electronics Letters, Vol. 35, No. 15, pp. 1226-1227, Jul 1999
  217. 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
  218. 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
  219. 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
  220. 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
  221. 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
  222. 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
  223. 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
  224. 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
  225. 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
  226. 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
  227. 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
  228. 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
  229. John Fisher, Jose C. Principe, Recent advances to nonlinear MACE filters , Optical Engineering, Vol. 36, No. 10, pp. 2697-2709, Oct 1997
  230. 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
  231. 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
  232. L. Fu, Hui-Huang Hsu, Jose C. Principe, Incremental Backpropagation Networks , Trans. on Neural Networks, Vol. 7, No. 3, pp. 757-761, May 1996
  233. Jose C. Principe, NeuroSolutions: an Object Oriented Evolution , PC AI Magazine, Vol. 9, No. 6, pp. 49-51, Nov 1995
  234. John Fisher, Jose C. Principe, A Nonlinear Extension of the Mace Filter , Neural Networks, Vol. 8, No. {7-8}, pp. 1131-1141, Oct 1995
  235. 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
  236. 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
  237. 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
  238. 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
  239. 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
  240. 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
  241. 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
  242. 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
  243. 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
  244. 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
  245. 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
  246. 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
  247. 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
  248. 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
  249. 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
  250. 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
  251. 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
  252. 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
  253. 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
  254. 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
  255. 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
  256. 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
  257. Jose C. Principe, Jack Smith, Sleep spindle characteristics as a function of age , Sleep, Vol. 5, No. 1, pp. 73-84, Sep 1984
  258. 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
  259. 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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