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Semantic ScholarJosé C. Príncipe
José Carlos Príncipe
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- affiliation: University of Florida, Gainesville, USA
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- 2020
[j239]Jianyi Liu, José C. Príncipe, Arash Andalib:
Fast spatio-temporal decorrelation using FIR filter network with decoupled adaptive step sizes. Digital Signal Processing 96 (2020)
2010 – today
- 2019
- [j238]José C. Príncipe:
IEEE Fellows - Class of 2019 [Society Briefs]. IEEE Comp. Int. Mag. 14(2): 9-12 (2019) - [j237]Shujian Yu
, José C. Príncipe:
Simple Stopping Criteria for Information Theoretic Feature Selection. Entropy 21(1): 99 (2019) - [j236]Isaac J. Sledge, José C. Príncipe:
Reduction of Markov Chains Using a Value-of-Information-Based Approach. Entropy 21(4): 349 (2019) - [j235]Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, Yantao Wei, José C. Príncipe:
Concept drift detection and adaptation with hierarchical hypothesis testing. J. Franklin Institute 356(5): 3187-3215 (2019) - [j234]Eleni I. Georga, José C. Príncipe, Dimitrios I. Fotiadis:
Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters. Med. Biol. Engineering and Computing 57(1): 27-46 (2019) - [j233]Shujian Yu, José C. Príncipe:
Understanding autoencoders with information theoretic concepts. Neural Networks 117: 104-123 (2019) - [j232]Badong Chen, Xin Wang, Yingsong Li, José C. Príncipe:
Maximum Correntropy Criterion With Variable Center. IEEE Signal Process. Lett. 26(8): 1212-1216 (2019) - [j231]Lujuan Dang, Badong Chen, Shiyuan Wang, Yuantao Gu, José C. Príncipe:
Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion. IEEE Trans. on Circuits and Systems 66-I(11): 4265-4277 (2019) - [j230]Isaac John Sledge, José C. Príncipe:
Analysis of Agent Expertise in Ms. Pac-Man Using Value-of-Information-Based Policies. IEEE Trans. Games 11(2): 142-158 (2019) - [j229]Badong Chen, Lei Xing, Nanning Zheng, José C. Príncipe:
Quantized Minimum Error Entropy Criterion. IEEE Trans. Neural Netw. Learning Syst. 30(5): 1370-1380 (2019) - [c327]Shailaja Akella, José C. Príncipe:
Correntropy based Robust Decomposition of Neuromodulations. EMBC 2019: 5790-5793 - [c326]Isaac J. Sledge, José C. Príncipe:
A Differential-geometric Approach for Globally Solving a Non-convex, Discontinuous Depth Estimation Problem for Plenoptic Camera Images. ICASSP 2019: 2267-2271 - [c325]Isaac J. Sledge, José C. Príncipe:
An Information-theoretic Approach for Automatically Determining the Number of State Groups When Aggregating Markov Chains. ICASSP 2019: 3612-3616 - [c324]Mihael Cudic, José C. Príncipe:
Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification. IJCNN 2019: 1-6 - [c323]Xi Yu, Ying Ma, Stephanie Farrington, John Reed, Bing Ouyang, José C. Príncipe:
Fast segmentation for large and sparsely labeled coral images. IJCNN 2019: 1-6 - [c322]Carlos A. Loza, José C. Príncipe:
The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs. IWANN (1) 2019: 127-138 - [c321]Carlos A. Loza, José C. Príncipe:
Sparse Wave Packets Discriminate Motor Tasks in EEG-based BCIs. NER 2019: 639-642 - [i39]Gabriel Nallathambi, José C. Príncipe:
Theory and Algorithms for Pulse Signal Processing. CoRR abs/1901.01140 (2019) - [i38]Isaac J. Sledge, José C. Príncipe:
An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations. CoRR abs/1901.07484 (2019) - [i37]Isaac J. Sledge, José C. Príncipe:
Reduction of Markov Chains using a Value-of-Information-Based Approach. CoRR abs/1903.09266 (2019) - [i36]Badong Chen, Xin Wang, Yingsong Li, José C. Príncipe:
Maximum Correntropy Criterion with Variable Center. CoRR abs/1904.06501 (2019) - [i35]Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe:
Minimum Error Entropy Kalman Filter. CoRR abs/1904.06617 (2019) - [i34]Yantao Wei, Shujian Yu, José C. Príncipe:
Multiscale Principle of Relevant Information for Hyperspectral Image Classification. CoRR abs/1907.06022 (2019) - [i33]Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen:
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels. CoRR abs/1909.11396 (2019) - [i32]Chi Ding, Zheng Cao, Matthew S. Emigh, José C. Príncipe, Bing Ouyang, Anni K. Vuorenkoski, Fraser R. Dalgleish, Brian Ramos, Yanjun Li:
Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image. CoRR abs/1911.03267 (2019) - [i31]Kan Li, José C. Príncipe:
Functional Bayesian Filter. CoRR abs/1911.10606 (2019) - 2018
- [j228]José C. Príncipe:
2018 IEEE CIS Awards [Society Briefs]. IEEE Comp. Int. Mag. 13(1): 10-12 (2018) - [j227]Isaac J. Sledge, José C. Príncipe:
An Analysis of the Value of Information When Exploring Stochastic, Discrete Multi-Armed Bandits. Entropy 20(3): 155 (2018) - [j226]João P. F. Guimarães, Aluisio I. R. Fontes, Joilson B. A. Rego, Allan de M. Martins, José C. Príncipe:
Complex correntropy function: Properties, and application to a channel equalization problem. Expert Syst. Appl. 107: 173-181 (2018) - [j225]Mihael Cudic, Ryan Burt, Eder Santana, José C. Príncipe:
A flexible testing environment for visual question answering with performance evaluation. Neurocomputing 291: 128-135 (2018) - [j224]Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe:
Self-Organised direction aware data partitioning algorithm. Inf. Sci. 423: 80-95 (2018) - [j223]Xiaowei Gu, Plamen P. Angelov, José C. Príncipe:
A method for autonomous data partitioning. Inf. Sci. 460-461: 65-82 (2018) - [j222]Goktug T. Cinar, Pedro M. N. Sequeira, José C. Príncipe:
Hierarchical linear dynamical systems for unsupervised musical note recognition. J. Franklin Institute 355(4): 1638-1662 (2018) - [j221]Stefan Craciun, Robert Kirchgessner, Alan D. George, Herman Lam, José C. Príncipe:
A real-time, power-efficient architecture for mean-shift image segmentation. J. Real-Time Image Processing 14(2): 379-394 (2018) - [j220]Plamen P. Angelov, Xiaowei Gu, José C. Príncipe:
A Generalized Methodology for Data Analysis. IEEE Trans. Cybernetics 48(10): 2981-2993 (2018) - [j219]Zhirong Luan, Hua Qu, Ji-hong Zhao, Badong Chen, José C. Príncipe:
Fairness constrained diffusion adaptive power control for dense small cell network. Telecommunication Systems 68(2): 373-384 (2018) - [j218]Plamen P. Angelov, Xiaowei Gu, José C. Príncipe:
Autonomous Learning Multimodel Systems From Data Streams. IEEE Trans. Fuzzy Systems 26(4): 2213-2224 (2018) - [j217]Guibiao Xu, Bao-Gang Hu, José C. Príncipe:
Robust C-Loss Kernel Classifiers. IEEE Trans. Neural Netw. Learning Syst. 29(3): 510-522 (2018) - [j216]Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, José C. Príncipe:
Insights Into the Robustness of Minimum Error Entropy Estimation. IEEE Trans. Neural Netw. Learning Syst. 29(3): 731-737 (2018) - [j215]Dongbin Zhao, Derong Liu, Frank L. Lewis, José C. Príncipe, Stefano Squartini:
Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. IEEE Trans. Neural Netw. Learning Syst. 29(6): 2038-2041 (2018) - [j214]Isaac J. Sledge, Matthew S. Emigh, José C. Príncipe:
Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information Criterion. IEEE Trans. Neural Netw. Learning Syst. 29(6): 2080-2098 (2018) - [j213]Eder Santana, Matthew S. Emigh, Pablo Zegers, José C. Príncipe:
Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks. IEEE Trans. Neural Netw. Learning Syst. 29(8): 3738-3746 (2018) - [c320]Shailaja Akella, José C. Príncipe:
Quantitative Analysis of a Marked Point Process based Sleep Spindle Detector (MPP-SSD). EMBC 2018: 1464-1467 - [c319]Carlos A. Loza, José C. Príncipe:
The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEG. EMBC 2018: 3112-3115 - [c318]Xiang Zhang, José C. Príncipe, Yiwen Wang:
Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces. EMBC 2018: 6125-6128 - [c317]Ying Ma, Bing Ouyang, Stephanie Farrington, Shujian Yu, John Reed, José C. Príncipe:
Joint Image Segmentation and Classification with Application to Cluttered Coral Images. GlobalSIP 2018: 365-369 - [c316]Isaac J. Sledge, José C. Príncipe:
Partitioning Relational Matrices of Similarities or Dissimilarities Using the Value of Information. ICASSP 2018: 2416-2420 - [c315]Rishabh Singh, Kan Li, José C. Príncipe:
Nearest-Instance-Centroid-Estimation Linear Discriminant Analysis (Nice Lda). ICASSP 2018: 2846-2850 - [c314]Shujian Yu, Xiaoyang Wang, José C. Príncipe:
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels. IJCAI 2018: 3033-3039 - [c313]Ryan Burt, José C. Príncipe:
Top-down Gamma Saliency - Learning to Search for Objects in Complex Scenes. IJCNN 2018: 1-4 - [c312]Kan Li, José C. Príncipe:
Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL). IJCNN 2018: 1-6 - [c311]Ying Ma, José C. Príncipe:
Comparison of Static Neural Network with External Memory and RNNs for Deterministic Context Free Language Learning. IJCNN 2018: 1-7 - [c310]Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe:
Augmented Space Linear Model. IJCNN 2018: 1-6 - [c309]Rishabh Singh, José C. Príncipe:
Correntropy Based Hierarchical Linear Dynamical System For Speech Recognition. IJCNN 2018: 1-7 - [c308]Isaac J. Sledge, José C. Príncipe:
Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes. IJCNN 2018: 1-10 - [i30]Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe:
Augmented Space Linear Model. CoRR abs/1802.00174 (2018) - [i29]Isaac J. Sledge, Matthew S. Emigh, José C. Príncipe:
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion. CoRR abs/1802.01518 (2018) - [i28]Shiyu Duan, Yunmei Chen, José C. Príncipe:
Learning Multiple Levels of Representations with Kernel Machines. CoRR abs/1802.03774 (2018) - [i27]Shujian Yu, José C. Príncipe:
Understanding Autoencoders with Information Theoretic Concepts. CoRR abs/1804.00057 (2018) - [i26]Shujian Yu, Robert Jenssen, José C. Príncipe:
Understanding Convolutional Neural Network Training with Information Theory. CoRR abs/1804.06537 (2018) - [i25]Ying Ma, José C. Príncipe:
A Taxonomy for Neural Memory Networks. CoRR abs/1805.00327 (2018) - [i24]Shujian Yu, Xiaoyang Wang, José C. Príncipe:
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels. CoRR abs/1806.10131 (2018) - [i23]Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe:
Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional. CoRR abs/1808.07912 (2018) - [i22]Shujian Yu, José C. Príncipe:
Simple stopping criteria for information theoretic feature selection. CoRR abs/1811.11971 (2018) - 2017
- [j212]Badong Chen, Xi Liu, Haiquan Zhao, José C. Príncipe:
Maximum correntropy Kalman filter. Automatica 76: 70-77 (2017) - [j211]Aluisio I. R. Fontes, Joilson B. A. Rego, Allan de M. Martins, Luiz Felipe Q. Silveira, José C. Príncipe:
Cyclostationary correntropy: Definition and applications. Expert Syst. Appl. 69: 110-117 (2017) - [j210]Aluisio I. R. Fontes, Joilson B. A. Rego, Allan de M. Martins, Luiz Felipe Q. Silveira, José C. Príncipe:
Corrigendum to "Cyclostationary Correntropy: Definition and applications" [Expert Systems with Applications 69 (2017) 110-117]. Expert Syst. Appl. 81: 472-473 (2017) - [j209]Xiaowei Gu, Plamen P. Angelov, Dmitry Kangin, José C. Príncipe:
A new type of distance metric and its use for clustering. Evolving Systems 8(3): 167-177 (2017) - [j208]Zheng Cao, José C. Príncipe, Bing Ouyang, Fraser R. Dalgleish, Anni K. Vuorenkoski, Brian Ramos, Gabriel Alsenas:
Marine animal classification using UMSLI in HBOI optical test facility. Multimedia Tools Appl. 76(21): 23117-23138 (2017) - [j207]Guibiao Xu, Zheng Cao, Bao-Gang Hu, José C. Príncipe:
Robust support vector machines based on the rescaled hinge loss function. Pattern Recognition 63: 139-148 (2017) - [j206]João P. F. Guimarães, Aluisio I. R. Fontes, Joilson B. A. Rego, Allan de M. Martins, José C. Príncipe:
Complex Correntropy: Probabilistic Interpretation and Application to Complex-Valued Data. IEEE Signal Process. Lett. 24(1): 42-45 (2017) - [j205]Fang Wang, Yiwen Wang, Kai Xu, Hongbao Li, Yuxi Liao, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, José C. Príncipe:
Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding. IEEE Trans. Neural Netw. Learning Syst. 28(4): 873-886 (2017) - [j204]Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, Nanning Zheng, José C. Príncipe:
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering. IEEE Trans. Signal Processing 65(11): 2888-2901 (2017) - [j203]Kan Li, José Carlos Príncipe:
Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm. IEEE Trans. Signal Processing 65(24): 6520-6535 (2017) - [c307]Luis Gonzalo Sánchez Giraldo, Erion Hasanbelliu, Murali Rao, José C. Príncipe:
Group-Wise Point-Set Registration Based on Rényi's Second Order Entropy. CVPR 2017: 2454-2462 - [c306]Eleni I. Georga, José C. Príncipe, Evangelos C. Rizos, Dimitrios I. Fotiadis:
Kernel-based adaptive learning improves accuracy of glucose predictive modelling in type 1 diabetes: A proof-of-concept study. EMBC 2017: 2765-2768 - [c305]Carlos A. Loza, Jonathan B. Shute, José C. Príncipe, Michael S. Okun, Aysegul Gunduz:
A marked point process approach for identifying neural correlates of tics in Tourette Syndrome. EMBC 2017: 4375-4378 - [c304]Gabriel Nallathambi, José C. Príncipe:
Time based gain control for the analog to pulse converter. GlobalSIP 2017: 216-219 - [c303]Gabriel Nallathambi, Lei Rao, José C. Príncipe:
Hardware implementation of adder for pulse signal processing. GlobalSIP 2017: 1330-1334 - [c302]Catia S. Silva, José C. Príncipe, Andreas Keil:
A novel methodology to quantify dense EEG in cognitive tasks. ICASSP 2017: 2442-2446 - [c301]Kan Li, José C. Príncipe:
Automatic insect recognition using optical flight dynamics modeled by kernel adaptive ARMA network. ICASSP 2017: 2726-2730 - [c300]Isaac J. Sledge, José C. Príncipe:
Balancing exploration and exploitation in reinforcement learning using a value of information criterion. ICASSP 2017: 2816-2820 - [c299]Shujian Yu, Matthew Emigh, Eder Santana, José C. Príncipe:
Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives. ICASSP 2017: 6115-6119 - [c298]Eder Santana, José C. Príncipe:
Perception Updating Networks: On architectural constraints for interpretable video generative models. ICLR (Workshop) 2017 - [c297]Plamen P. Angelov, Xiaowei Gu, José C. Príncipe:
Fast feedforward non-parametric deep learning network with automatic feature extraction. IJCNN 2017: 534-541 - [c296]Ryan Burt, Mihael Cudic, José C. Príncipe:
Fusing attention with visual question answering. IJCNN 2017: 949-953 - [c295]Shengyang Luan, Tianshuang Qiu, José C. Príncipe:
Adaptive filtering based on extended kernel recursive maximum correntropy. IJCNN 2017: 2716-2722 - [c294]Kan Li, José C. Príncipe:
Flight dynamics modeling and recognition using finite state machine for automatic insect recognition. IJCNN 2017: 3733-3740 - [c293]Kan Li, Ying Ma, José C. Príncipe:
Automatic plant identification using stem automata. MLSP 2017: 1-6 - [c292]Carlos A. Loza, José C. Príncipe:
Unsupervised robust detection of behavioral correlates in ECoG. NER 2017: 509-512 - [c291]Shanbao Tong, José C. Príncipe, Lei Ding, Paul Sajda:
Welcome message. NER 2017 - [i21]Isaac J. Sledge, José C. Príncipe:
Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based Policies. CoRR abs/1702.08628 (2017) - [i20]Zheng Cao, Shujian Yu, Bing Ouyang, Fraser R. Dalgleish, Anni K. Vuorenkoski, Gabriel Alsenas, José C. Príncipe:
Marine Animal Classification with Correntropy Loss Based Multi-view Learning. CoRR abs/1705.01217 (2017) - [i19]Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, José C. Príncipe:
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing. CoRR abs/1707.07821 (2017) - [i18]Jianji Wang, Nanning Zheng, Badong Chen, José C. Príncipe:
Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient. CoRR abs/1708.01541 (2017) - [i17]Pablo Huijse, Pablo A. Estévez, Francisco Förster, Scott F. Daniel, Andrew J. Connolly, Pavlos Protopapas, Rodrigo Carrasco, José C. Príncipe:
Robust period estimation using mutual information for multi-band light curves in the synoptic survey era. CoRR abs/1709.03541 (2017) - [i16]Isaac J. Sledge, José C. Príncipe:
Using the Value of Information to Explore Stochastic, Discrete Multi-Armed Bandits. CoRR abs/1710.02869 (2017) - [i15]Badong Chen, Lei Xing, Nanning Zheng, José C. Príncipe:
Quantized Minimum Error Entropy Criterion. CoRR abs/1710.04089 (2017) - [i14]Isaac J. Sledge, José C. Príncipe:
Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information. CoRR abs/1710.10381 (2017) - 2016
- [j202]Goktug T. Cinar, James Paul Sain, José C. Príncipe:
A Study of Musical Pitch Distance Using a Self-Organized Hierarchical Linear Dynamical System on Acoustic Signals. Computer Music Journal 40(3): 68-82 (2016) - [j201]Wentao Ma, Badong Chen, Haiquan Zhao, Guan Gui, Jiandong Duan, José C. Príncipe:
Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty. CSSP 35(3): 1077-1089 (2016) - [j200]Songlin Zhao, Badong Chen, Zheng Cao, Pingping Zhu, José C. Príncipe:
Self-organizing kernel adaptive filtering. EURASIP J. Adv. Sig. Proc. 2016: 106 (2016) - [j199]Badong Chen, Jianji Wang, Haiquan Zhao, José C. Príncipe:
Insights into Entropy as a Measure of Multivariate Variability. Entropy 18(5): 196 (2016) - [j198]Zhirong Luan, Hua Qu, Ji-hong Zhao, Badong Chen, José C. Príncipe:
Correntropy induced joint power and admission control algorithm for dense small cell network. IET Communications 10(16): 2154-2161 (2016) - [j197]Badong Chen, Junli Liang, Nanning Zheng, José C. Príncipe:
Kernel least mean square with adaptive kernel size. Neurocomputing 191: 95-106 (2016) - [j196]Liangjun Chen, Hua Qu, Ji-hong Zhao, Badong Chen, José Carlos Príncipe:
Efficient and robust deep learning with Correntropy-induced loss function. Neural Computing and Applications 27(4): 1019-1031 (2016) - [j195]In Jun Park, Andrew M. Hein, Yuriy V. Bobkov, Matthew A. Reidenbach, Barry W. Ache, José C. Príncipe:
Neurally Encoding Time for Olfactory Navigation. PLoS Computational Biology 12(1) (2016) - [j194]David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, José C. Príncipe:
Fault detection via recurrence time statistics and one-class classification. Pattern Recognition Letters 84: 8-14 (2016) - [j193]Austin J. Brockmeier, José C. Príncipe:
Learning Recurrent Waveforms Within EEGs. IEEE Trans. Biomed. Engineering 63(1): 43-54 (2016) - [j192]Yiwen Wang, Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, José C. Príncipe:
Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces. IEEE Trans. Biomed. Engineering 63(8): 1728-1741 (2016) - [j191]Matthew Emigh, Evan G. Kriminger, Austin J. Brockmeier, José C. Príncipe, Panos M. Pardalos:
Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning. IEEE Trans. Comput. Intellig. and AI in Games 8(1): 56-66 (2016) - [j190]Xinge You, Weigang Guo, Shujian Yu, Kan Li, José C. Príncipe, Dacheng Tao:
Kernel Learning for Dynamic Texture Synthesis. IEEE Trans. Image Processing 25(10): 4782-4795 (2016) - [j189]Kan Li, José C. Príncipe:
The Kernel Adaptive Autoregressive-Moving-Average Algorithm. IEEE Trans. Neural Netw. Learning Syst. 27(2): 334-346 (2016) - [j188]Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, José C. Príncipe:
Generalized Correntropy for Robust Adaptive Filtering. IEEE Trans. Signal Processing 64(13): 3376-3387 (2016) - [c290]Catia S. Silva, Mehrnaz Khodam Hazrati, Andreas Keil, José C. Príncipe:
Quantification of neural functional connectivity during an active avoidance task. EMBC 2016: 708-711 - [c289]Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, José C. Príncipe:
Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface. EMBC 2016: 3056-3059 - [c288]Carlos A. Loza, José C. Príncipe:
Estimation and modeling of EEG amplitude-temporal characteristics using a marked point process approach. EMBC 2016: 3720-3723 - [c287]Eleni I. Georga, José C. Príncipe, Demosthenes Polyzos, Dimitrios I. Fotiadis:
Non-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters. EMBC 2016: 5897-5900 - [c286]Badong Chen, Zhengda Qin, Nanning Zheng, José C. Príncipe:
Kernel adaptive filtering subject to equality function constraints. EUSIPCO 2016: 1-5 - [c285]Carlos A. Loza, José C. Príncipe:
Transient model of EEG using Gini Index-based matching pursuit. ICASSP 2016: 724-728 - [c284]