José C. Príncipe

650 papers A* 9A 3B 123C 8Misc 61Journal 310Unranked 133

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Stable Neural Statistical Dependence Estimator for Autoencoder Feature Analysis. CoRR Bo Hu, José C. Príncipe
2026	J	`jnl`	A closed-form solution for kernel adaptive filtering. Signal Process. Benjamin Colburn, Luis Gonzalo Sánchez Giraldo, Kan Li, José C. Príncipe
2026	J	`jnl`	A generative spike prediction model using behavioral reinforcement for re-establishing neural functional connectivity. Nat. Comput. Sci. Shenghui Wu, Zhiwei Song, Xiang Zhang, Yifan Huang, Shuhang Chen, Xiang Shen, Jieyuan Tan, Mingdong Li, Ziyi Wang, Yujun Chen, Kai Liu, Dario Farina, José C. Príncipe, Yiwen Wang
2026	J	`jnl`	MLE-UVAD: Minimal Latent Entropy Autoencoder for Fully Unsupervised Video Anomaly Detection. CoRR Yuang Geng, Junkai Zhou, Kang Yang, Pan He, Zhuoyang Zhou, José C. Príncipe, Joel B. Harley, Ivan Ruchkin
2026	J	`jnl`	Online filtering in kernel adaptive principal subspace. Signal Process. Kan Li, José C. Príncipe
2026	J	`jnl`	Training sparse convolutional deep predictive coding networks with attention. Neural Networks Hongming Li, Chi Ding, José C. Príncipe
2025	J	`jnl`	A Family of Kernelized Matrix Costs for Multiple-Output Mixture Neural Networks. CoRR Bo Hu, José C. Príncipe
2025	B	`conf`	A Simple and Effective Method for Uncertainty Quantification and OOD Detection. IJCNN Yaxin Ma, Benjamin Colburn, José C. Príncipe
2025	J	`jnl`	A Simple and Effective Method for Uncertainty Quantification and OOD Detection. CoRR Yaxin Ma, Benjamin Colburn, José C. Príncipe
2025	J	`jnl`	Contrastive Entropy Bounds for Density and Conditional Density Decomposition. CoRR Bo Hu, José C. Príncipe
2025	Misc	`conf`	Fast DPCNs for Feature Extraction without Labels. ICASSP Wenqian Xue, Chi Ding, José C. Príncipe
2025	J	`jnl`	Guest Editorial: Special Issue on Information Theoretic Methods for the Generalization, Robustness, and Interpretability of Machine Learning. IEEE Trans. Neural Networks Learn. Syst. Badong Chen, Shujian Yu, Robert Jenssen, José C. Príncipe, Klaus-Robert Müller
2025	J	`jnl`	Improved PCA Reconstruction-Based Unsupervised Anomaly Detection in Uncontrolled Structural Health Monitoring With Correntropy. IEEE Trans. Ind. Informatics Kang Yang, Zhenhan Lin, Zekun Yang, Zhihui Tian, Jie Ma, José C. Príncipe, Joel B. Harley
2025	Misc	`conf`	Schoenberg Kernel Loss for Spiking Neural Network Training. ICASSP Liyang Ru, Kan Li, José C. Príncipe
2025	J	`jnl`	The Conditional Cauchy-Schwarz Divergence With Applications to Time-Series Data and Sequential Decision Making. IEEE Trans. Pattern Anal. Mach. Intell. Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2025	Misc	`conf`	Trimformer: A Novel Sequence Compression Mechanism with Local Attention. ICASSP Ran Dou, Liyang Ru, José C. Príncipe
2024	J	`jnl`	A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire Analog-to-Time Converter for Biological and Low-Frequency Signals - Comparison With Analog Version. IEEE Trans. Biomed. Circuits Syst. Miguel Lima Teixeira, João Pedro Oliveira, José C. Príncipe, João Goes
2024	A*	`conf`	Cauchy-Schwarz Divergence Information Bottleneck for Regression. ICLR Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2024	J	`jnl`	Cauchy-Schwarz Divergence Information Bottleneck for Regression. CoRR Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2024	J	`jnl`	ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy. CoRR Hongming Li, Shujian Yu, Bin Liu, José C. Príncipe
2024	B	`conf`	End-to-end Image Classification in Linear Hybrid Cellular Automata. IJCNN Naoki Sawahashi, José C. Príncipe
2024	J	`jnl`	Fast Deep Predictive Coding Networks for Videos Feature Extraction without Labels. CoRR Wenqian Xue, Chi Ding, José C. Príncipe
2024	B	`conf`	Finding Local Dependent Regions in PDFs using RKHS Uncertainty Moments and Optimal Transport. IJCNN Rishabh Singh, Yaxin Ma, José C. Príncipe
2024	J	`jnl`	IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction. IEEE Trans. Cybern. Jing Yang, Yuehai Chen, Shaoyi Du, Badong Chen, José C. Príncipe
2024	J	`jnl`	Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems. CoRR Kan Li, José C. Príncipe
2024	A*	`conf`	Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios. NeurIPS Shihan Ma, Bo Hu, Tianyu Jia, Alexander Kenneth Clarke, Blanka Zicher, Arnault H. Caillet, Dario Farina, José C. Príncipe
2024	J	`jnl`	Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios. CoRR Shihan Ma, Bo Hu, Tianyu Jia, Alexander Kenneth Clarke, Blanka Zicher, Arnault H. Caillet, Dario Farina, José C. Príncipe
2024	B	`conf`	Learning Orthonormal Features in Self-Supervised Learning using Functional Maximal Correlation. ICIP Bo Hu, Yuheng Bu, José C. Príncipe
2024	J	`jnl`	Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery. CoRR Isaac J. Sledge, Dominic M. Byrne, Jonathan L. King, Steven H. Ostertag, Denton L. Woods, James L. Prater, Jermaine L. Kennedy, Timothy M. Marston, José C. Príncipe
2023	—	`conf`	A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire ATC for Biological and Low-Frequency Signals. BioCAS Miguel Lima Teixeira, João Pedro Oliveira, José C. Príncipe, João Goes
2023	J	`jnl`	An Alternate View on Optimal Filtering in an RKHS. CoRR Benjamin Colburn, José C. Príncipe, Luis Gonzalo Sánchez Giraldo
2023	J	`jnl`	Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy. Entropy Kristoffer K. Wickstrøm, Sigurd Løkse, Michael C. Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2023	A*	`conf`	Causal Recurrent Variational Autoencoder for Medical Time Series Generation. AAAI Hongming Li, Shujian Yu, José C. Príncipe
2023	J	`jnl`	Causal Recurrent Variational Autoencoder for Medical Time Series Generation. CoRR Hongming Li, Shujian Yu, José C. Príncipe
2023	—	`conf`	Cross Density Kernel for Nonstationary Signal Processing. SSP Bo Hu, José C. Príncipe
2023	B	`conf`	Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks. IJCNN Ran Dou, José C. Príncipe
2023	J	`jnl`	Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks. CoRR Ran Dou, José C. Príncipe
2023	J	`jnl`	Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. IEEE Trans. Neural Networks Learn. Syst. Isaac J. Sledge, José C. Príncipe
2023	J	`jnl`	Feature Learning in Image Hierarchies using Functional Maximal Correlation. CoRR Bo Hu, Yuheng Bu, José C. Príncipe
2023	J	`jnl`	Labels, Information, and Computation: Efficient Learning Using Sufficient Labels. J. Mach. Learn. Res. Shiyu Duan, Spencer Chang, José C. Príncipe
2023	J	`jnl`	Multiscale principle of relevant information for hyperspectral image classification. Mach. Learn. Yantao Wei, Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe
2023	J	`jnl`	Special issue on smart healthcare: artificial intelligence in biomedicine. J. Ambient Intell. Humaniz. Comput. Nan Liu, Badong Chen, José C. Príncipe
2023	J	`jnl`	The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making. CoRR Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2023	—	`conf`	The Kernel Maximal Correlation Filter. MLSP Yao Sun, Bo Hu, José C. Príncipe
2023	B	`conf`	Universal Recurrent Event Memories for Streaming Data. IJCNN Ran Dou, José C. Príncipe
2023	J	`jnl`	Universal Recurrent Event Memories for Streaming Data. CoRR Ran Dou, José C. Príncipe
2022	J	`jnl`	A self-learning cognitive architecture exploiting causality from rewards. Neural Networks Hongming Li, Ran Dou, Andreas Keil, José C. Príncipe
2022	J	`jnl`	Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning. CoRR Isaac J. Sledge, José C. Príncipe
2022	J	`jnl`	Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe
2022	Misc	`conf`	Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. ICASSP Hongming Li, Shujian Yu, José C. Príncipe
2022	J	`jnl`	Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. CoRR Hongming Li, Shujian Yu, José C. Príncipe
2022	B	`conf`	Explaining Deep and ResNet Architecture Choices with Information Flow. IJCNN Spencer Chang, José C. Príncipe
2022	J	`jnl`	Functional Bayesian Filter. IEEE Trans. Signal Process. Kan Li, José C. Príncipe
2022	J	`jnl`	Hierarchical Linear Dynamical System for Representing Notes from Recorded Audio. CoRR Leila Kalantari, José C. Príncipe, Kathryn E. Sieving
2022	B	`conf`	Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method. IJCNN Pingping Zhu, José C. Príncipe
2022	J	`jnl`	Modularizing Deep Learning via Pairwise Learning With Kernels. IEEE Trans. Neural Networks Learn. Syst. Shiyu Duan, Shujian Yu, José C. Príncipe
2022	J	`jnl`	Principle of Relevant Information for Graph Sparsification. CoRR Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
2022	A	`conf`	Principle of relevant information for graph sparsification. UAI Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
2022	J	`jnl`	Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS. CoRR Rishabh Singh, José C. Príncipe
2022	J	`jnl`	Robust Dependence Measure using RKHS based Uncertainty Moments and Optimal Transport. CoRR Rishabh Singh, José C. Príncipe
2022	J	`jnl`	The Cross Density Kernel Function: A Novel Framework to Quantify Statistical Dependence for Random Processes. CoRR Bo Hu, José C. Príncipe
2022	B	`conf`	The Extended Kernel Adaptive Autoregressive-Moving-Average Algorithm. IJCNN Ran Dou, José C. Príncipe
2022	J	`jnl`	Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods. IEEE Comput. Intell. Mag. Shiyu Duan, José C. Príncipe
2022	—	`conf`	Value of Information in the Mean-Square Case and Its Application to the Analysis of Financial Time-Series Forecast. LION Roman V. Belavkin, Panos M. Pardalos, José C. Príncipe
2021	J	`jnl`	A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts. CoRR Rishabh Singh, José C. Príncipe
2021	J	`jnl`	An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains. CoRR Isaac J. Sledge, José C. Príncipe
2021	J	`jnl`	Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. CoRR Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe
2021	J	`jnl`	Associations between MSE and SSIM as cost functions in linear decomposition with application to bit allocation for sparse coding. Neurocomputing Jianji Wang, Pei Chen, Nanning Zheng, Badong Chen, José C. Príncipe, Fei-Yue Wang
2021	J	`jnl`	Biologically-Inspired Pulse Signal Processing for Intelligence at the Edge. Frontiers Artif. Intell. Kan Li, José C. Príncipe
2021	Misc	`conf`	Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional. ICASSP Xi Yu, Shujian Yu, José C. Príncipe
2021	J	`jnl`	Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional. CoRR Xi Yu, Shujian Yu, José C. Príncipe
2021	J	`jnl`	Effects of Outliers on the Maximum Correntropy Estimation: A Robustness Analysis. IEEE Trans. Syst. Man Cybern. Syst. Badong Chen, Lei Xing, Haiquan Zhao, Shaoyi Du, José C. Príncipe
2021	J	`jnl`	Estimating Rényi's α-Cross-Entropies in a Matrix-Based Way. CoRR Isaac J. Sledge, José C. Príncipe
2021	J	`jnl`	External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery. CoRR Isaac J. Sledge, Christopher D. Toole, Joseph A. Maestri, José C. Príncipe
2021	J	`jnl`	Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. CoRR Isaac J. Sledge, José C. Príncipe
2021	J	`jnl`	Information Theoretic Structured Generative Modeling. CoRR Bo Hu, Shujian Yu, José C. Príncipe
2021	A*	`conf`	Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities. IJCAI Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe
2021	J	`jnl`	Interpretable fault detection using projections of mutual information matrix. J. Frankl. Inst. Feiya Lv, Shujian Yu, Chenglin Wen, José C. Príncipe
2021	J	`jnl`	Labels, Information, and Computation: Efficient, Privacy-Preserving Learning Using Sufficient Labels. CoRR Shiyu Duan, José C. Príncipe
2021	—	`conf`	Local power estimation of neuromodulations using point process modeling. NER Shailaja Akella, Ali Mohebi, Kierstin Riels, Andreas Keil, Karim G. Oweiss, José C. Príncipe
2021	J	`jnl`	MIMO Modeling by Learning Explicitly the Projection Space: The Maximum Correlation Ratio Cost Function. IEEE Trans. Signal Process. Bo Hu, José C. Príncipe
2021	A*	`conf`	Measuring Dependence with Matrix-based Entropy Functional. AAAI Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
2021	J	`jnl`	Measuring Dependence with Matrix-based Entropy Functional. CoRR Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
2021	J	`jnl`	Minimum Error Entropy Kalman Filter. IEEE Trans. Syst. Man Cybern. Syst. Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe
2021	J	`jnl`	Quantifying Model Predictive Uncertainty with Perturbation Theory. CoRR Rishabh Singh, José C. Príncipe
2021	J	`jnl`	Reinforcement Learning in Reproducing Kernel Hilbert Spaces: Enabling Continuous Brain?Machine Interface Adaptation. IEEE Signal Process. Mag. Yiwen Wang, José C. Príncipe
2021	B	`conf`	Speeding Up Reinforcement Learning by Exploiting Causality in Reward Sequences. IJCNN Hongming Li, José C. Príncipe
2021	J	`jnl`	Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders. CoRR Isaac J. Sledge, Matthew S. Emigh, Jonathan L. King, Denton L. Woods, J. Tory Cobb, José C. Príncipe
2021	J	`jnl`	Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models. Neural Comput. Rishabh Singh, José C. Príncipe
2021	J	`jnl`	Training Deep Architectures Without End-to-End Backpropagation: A Brief Survey. CoRR Shiyu Duan, José C. Príncipe
2021	Misc	`conf`	Training a Bank of Wiener Models with a Novel Quadratic Mutual Information Cost Function. ICASSP Bo Hu, José C. Príncipe
2021	J	`jnl`	Uncertainty quantification for multiclass data description. CoRR Leila Kalantari, José C. Príncipe, Kathryn E. Sieving
2021	J	`jnl`	Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration. IEEE Trans. Neural Networks Learn. Syst. Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, José C. Príncipe
2021	J	`jnl`	Unsupervised foveal vision neural architecture with top-down attention. Neural Networks Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe
2020	C	`conf`	A Cognitive Architecture for Object Recognition in Video. ICMLA José C. Príncipe
2020	J	`jnl`	A Taxonomy for Neural Memory Networks. IEEE Trans. Neural Networks Learn. Syst. Ying Ma, José C. Príncipe
2020	J	`jnl`	An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based Observations. IEEE Trans. Neural Networks Learn. Syst. Isaac J. Sledge, José C. Príncipe
2020	J	`jnl`	Augmented Space Linear Models. IEEE Trans. Signal Process. Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe
2020	B	`conf`	Cognitive Architecture for Video Games. IJCNN Hongming Li, Ying Ma, José C. Príncipe
2020	Misc	`conf`	Composite Dynamic Texture Synthesis Using Hierarchical Linear Dynamical System. ICASSP Rishabh Singh, Shujian Yu, José C. Príncipe
2020	J	`jnl`	Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces. CoRR Kan Li, José C. Príncipe
2020	J	`jnl`	Fast spatio-temporal decorrelation using FIR filter network with decoupled adaptive step sizes. Digit. Signal Process. Jianyi Liu, José C. Príncipe, Arash Andalib
2020	J	`jnl`	IEEE Fellows?Class of 2020 [Society Briefs]. IEEE Comput. Intell. Mag. José C. Príncipe
2020	A*	`conf`	Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. IJCAI Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
2020	J	`jnl`	Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. CoRR Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
2020	J	`jnl`	Modularizing Deep Learning via Pairwise Learning With Kernels. CoRR Shiyu Duan, Shujian Yu, José C. Príncipe
2020	J	`jnl`	Multivariate Extension of Matrix-Based Rényi's $\alpha$α-Order Entropy Functional. IEEE Trans. Pattern Anal. Mach. Intell. Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe
2020	J	`jnl`	Mutual Information Matrix for Interpretable Fault Detection. CoRR Feiya Lv, Shujian Yu, Chenglin Wen, José C. Príncipe
2020	J	`jnl`	On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation. Neural Comput. Shiyu Duan, Shujian Yu, Yunmei Chen, José C. Príncipe
2020	J	`jnl`	PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders. CoRR Yanjun Li, Shujian Yu, José C. Príncipe, Xiaolin Li, Dapeng Oliver Wu
2020	J	`jnl`	Probability Density Rank-Based Quantization for Convex Universal Learning Machines. IEEE Trans. Neural Networks Learn. Syst. Zhengda Qin, Badong Chen, Yuantao Gu, Nanning Zheng, José C. Príncipe
2020	J	`jnl`	Procedural Memory Augmented Deep Reinforcement Learning. IEEE Trans. Artif. Intell. Ying Ma, Joseph Brooks, Hongming Li, José C. Príncipe
2020	B	`conf`	Regularized Training of Convolutional Autoencoders using the Rényi-Stratonovich Value of Information. IJCNN Isaac J. Sledge, José C. Príncipe
2020	J	`jnl`	Theory and Algorithms for Pulse Signal Processing. IEEE Trans. Circuits Syst. I Regul. Pap. Gabriel Nallathambi, José C. Príncipe
2020	A	`conf`	Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework. UAI Rishabh Singh, José C. Príncipe
2020	J	`jnl`	Towards a Kernel based Physical Interpretation of Model Uncertainty. CoRR Rishabh Singh, José C. Príncipe
2020	J	`jnl`	Unsupervised Foveal Vision Neural Networks with Top-Down Attention. CoRR Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe
2019	Misc	`conf`	A Differential-geometric Approach for Globally Solving a Non-convex, Discontinuous Depth Estimation Problem for Plenoptic Camera Images. ICASSP Isaac J. Sledge, José C. Príncipe
2019	J	`jnl`	Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image. CoRR Chi Ding, Zheng Cao, Matthew S. Emigh, José C. Príncipe, Bing Ouyang, Anni K. Vuorenkoski, Fraser R. Dalgleish, Brian Ramos, Yanjun Li
2019	J	`jnl`	An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations. CoRR Isaac J. Sledge, José C. Príncipe
2019	Misc	`conf`	An Information-theoretic Approach for Automatically Determining the Number of State Groups When Aggregating Markov Chains. ICASSP Isaac J. Sledge, José C. Príncipe
2019	J	`jnl`	Analysis of Agent Expertise in Ms. Pac-Man Using Value-of-Information-Based Policies. IEEE Trans. Games Isaac John Sledge, José C. Príncipe
2019	J	`jnl`	Concept drift detection and adaptation with hierarchical hypothesis testing. J. Frankl. Inst. Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, Yantao Wei, José C. Príncipe
2019	—	`conf`	Correntropy based Robust Decomposition of Neuromodulations. EMBC Shailaja Akella, José C. Príncipe
2019	B	`conf`	Fast segmentation for large and sparsely labeled coral images. IJCNN Xi Yu, Ying Ma, Stephanie Farrington, John Reed, Bing Ouyang, José C. Príncipe
2019	J	`jnl`	Functional Bayesian Filter. CoRR Kan Li, José C. Príncipe
2019	J	`jnl`	IEEE Fellows - Class of 2019 [Society Briefs]. IEEE Comput. Intell. Mag. José C. Príncipe
2019	J	`jnl`	Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels. CoRR Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2019	J	`jnl`	Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion. IEEE Trans. Circuits Syst. I Regul. Pap. Lujuan Dang, Badong Chen, Shiyuan Wang, Yuantao Gu, José C. Príncipe
2019	J	`jnl`	Maximum Correntropy Criterion With Variable Center. IEEE Signal Process. Lett. Badong Chen, Xin Wang, Yingsong Li, José C. Príncipe
2019	J	`jnl`	Maximum Correntropy Criterion with Variable Center. CoRR Badong Chen, Xin Wang, Yingsong Li, José C. Príncipe
2019	J	`jnl`	Minimum Error Entropy Kalman Filter. CoRR Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe
2019	J	`jnl`	Multiscale Principle of Relevant Information for Hyperspectral Image Classification. CoRR Yantao Wei, Shujian Yu, José C. Príncipe
2019	J	`jnl`	No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features. CoRR Kan Li, José C. Príncipe
2019	J	`jnl`	Quantized Minimum Error Entropy Criterion. IEEE Trans. Neural Networks Learn. Syst. Badong Chen, Lei Xing, Nanning Zheng, José C. Príncipe
2019	J	`jnl`	Reduction of Markov Chains Using a Value-of-Information-Based Approach. Entropy Isaac J. Sledge, José C. Príncipe
2019	J	`jnl`	Reduction of Markov Chains using a Value-of-Information-Based Approach. CoRR Isaac J. Sledge, José C. Príncipe
2019	J	`jnl`	Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters. Medical Biol. Eng. Comput. Eleni I. Georga, José C. Príncipe, Dimitrios I. Fotiadis
2019	J	`jnl`	Simple Stopping Criteria for Information Theoretic Feature Selection. Entropy Shujian Yu, José C. Príncipe
2019	—	`conf`	Sparse Wave Packets Discriminate Motor Tasks in EEG-based BCIs. NER Carlos A. Loza, José C. Príncipe
2019	—	`conf`	The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs. IWANN (1) Carlos A. Loza, José C. Príncipe
2019	J	`jnl`	Theory and Algorithms for Pulse Signal Processing. CoRR Gabriel Nallathambi, José C. Príncipe
2019	J	`jnl`	Understanding autoencoders with information theoretic concepts. Neural Networks Shujian Yu, José C. Príncipe
2019	B	`conf`	Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification. IJCNN Mihael Cudic, José C. Príncipe
2018	J	`jnl`	2018 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. José C. Príncipe
2018	J	`jnl`	A Generalized Methodology for Data Analysis. IEEE Trans. Cybern. Plamen P. Angelov, Xiaowei Gu, José C. Príncipe
2018	J	`jnl`	A Taxonomy for Neural Memory Networks. CoRR Ying Ma, José C. Príncipe
2018	J	`jnl`	A flexible testing environment for visual question answering with performance evaluation. Neurocomputing Mihael Cudic, Ryan Burt, Eder Santana, José C. Príncipe
2018	J	`jnl`	A method for autonomous data partitioning. Inf. Sci. Xiaowei Gu, Plamen P. Angelov, José C. Príncipe
2018	J	`jnl`	A real-time, power-efficient architecture for mean-shift image segmentation. J. Real Time Image Process. Stefan Craciun, Robert Kirchgessner, Alan D. George, Herman Lam, José C. Príncipe
2018	J	`jnl`	An Analysis of the Value of Information When Exploring Stochastic, Discrete Multi-Armed Bandits. Entropy Isaac J. Sledge, José C. Príncipe
2018	B	`conf`	Augmented Space Linear Model. IJCNN Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe
2018	J	`jnl`	Augmented Space Linear Model. CoRR Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe
2018	J	`jnl`	Autonomous Learning Multimodel Systems From Data Streams. IEEE Trans. Fuzzy Syst. Plamen P. Angelov, Xiaowei Gu, José C. Príncipe
2018	—	`conf`	Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces. EMBC Xiang Zhang, José C. Príncipe, Yiwen Wang
2018	B	`conf`	Comparison of Static Neural Network with External Memory and RNNs for Deterministic Context Free Language Learning. IJCNN Ying Ma, José C. Príncipe
2018	J	`jnl`	Complex correntropy function: Properties, and application to a channel equalization problem. Expert Syst. Appl. João P. F. Guimarães, Aluisio I. Rêgo Fontes, Joilson B. A. Rego, Allan de M. Martins, José C. Príncipe
2018	B	`conf`	Correntropy Based Hierarchical Linear Dynamical System For Speech Recognition. IJCNN Rishabh Singh, José C. Príncipe
2018	J	`jnl`	Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks. IEEE Trans. Neural Networks Learn. Syst. Eder Santana, Matthew S. Emigh, Pablo Zegers, José C. Príncipe
2018	J	`jnl`	Fairness constrained diffusion adaptive power control for dense small cell network. Telecommun. Syst. Zhirong Luan, Hua Qu, Ji-hong Zhao, Badong Chen, José C. Príncipe
2018	J	`jnl`	Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information Criterion. IEEE Trans. Neural Networks Learn. Syst. Isaac J. Sledge, Matthew S. Emigh, José C. Príncipe
2018	J	`jnl`	Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion. CoRR Isaac J. Sledge, Matthew S. Emigh, José C. Príncipe
2018	J	`jnl`	Hierarchical linear dynamical systems for unsupervised musical note recognition. J. Frankl. Inst. Goktug T. Cinar, Pedro M. N. Sequeira, José C. Príncipe
2018	J	`jnl`	Insights Into the Robustness of Minimum Error Entropy Estimation. IEEE Trans. Neural Networks Learn. Syst. Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, José C. Príncipe
2018	—	`conf`	Joint Image Segmentation and Classification with Application to Cluttered Coral Images. GlobalSIP Ying Ma, Bing Ouyang, Stephanie Farrington, Shujian Yu, John Reed, José C. Príncipe
2018	B	`conf`	Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes. IJCNN Isaac J. Sledge, José C. Príncipe
2018	J	`jnl`	Learning Multiple Levels of Representations with Kernel Machines. CoRR Shiyu Duan, Yunmei Chen, José C. Príncipe
2018	J	`jnl`	Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional. CoRR Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe
2018	Misc	`conf`	Nearest-Instance-Centroid-Estimation Linear Discriminant Analysis (Nice Lda). ICASSP Rishabh Singh, Kan Li, José C. Príncipe
2018	Misc	`conf`	Partitioning Relational Matrices of Similarities or Dissimilarities Using the Value of Information. ICASSP Isaac J. Sledge, José C. Príncipe
2018	—	`conf`	Quantitative Analysis of a Marked Point Process based Sleep Spindle Detector (MPP-SSD). EMBC Shailaja Akella, José C. Príncipe
2018	A*	`conf`	Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels. IJCAI Shujian Yu, Xiaoyang Wang, José C. Príncipe
2018	J	`jnl`	Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels. CoRR Shujian Yu, Xiaoyang Wang, José C. Príncipe
2018	J	`jnl`	Robust C-Loss Kernel Classifiers. IEEE Trans. Neural Networks Learn. Syst. Guibiao Xu, Bao-Gang Hu, José C. Príncipe
2018	J	`jnl`	Self-Organised direction aware data partitioning algorithm. Inf. Sci. Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe
2018	J	`jnl`	Simple stopping criteria for information theoretic feature selection. CoRR Shujian Yu, José C. Príncipe
2018	J	`jnl`	Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Dongbin Zhao, Derong Liu, Frank L. Lewis, José C. Príncipe, Stefano Squartini
2018	B	`conf`	Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL). IJCNN Kan Li, José C. Príncipe
2018	—	`conf`	The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEG. EMBC Carlos A. Loza, José C. Príncipe
2018	B	`conf`	Top-down Gamma Saliency - Learning to Search for Objects in Complex Scenes. IJCNN Ryan Burt, José C. Príncipe
2018	J	`jnl`	Understanding Autoencoders with Information Theoretic Concepts. CoRR Shujian Yu, José C. Príncipe
2018	J	`jnl`	Understanding Convolutional Neural Network Training with Information Theory. CoRR Shujian Yu, Robert Jenssen, José C. Príncipe
2017	—	`conf`	A marked point process approach for identifying neural correlates of tics in Tourette Syndrome. EMBC Carlos A. Loza, Jonathan B. Shute, José C. Príncipe, Michael S. Okun, Aysegul Gunduz
2017	J	`jnl`	A new type of distance metric and its use for clustering. Evol. Syst. Xiaowei Gu, Plamen P. Angelov, Dmitry Kangin, José C. Príncipe
2017	Misc	`conf`	A novel methodology to quantify dense EEG in cognitive tasks. ICASSP Catia S. Silva, José C. Príncipe, Andreas Keil
2017	B	`conf`	Adaptive filtering based on extended kernel recursive maximum correntropy. IJCNN Shengyang Luan, Tianshuang Qiu, José C. Príncipe
2017	J	`jnl`	Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based Policies. CoRR Isaac J. Sledge, José C. Príncipe
2017	J	`jnl`	Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient. CoRR Jianji Wang, Nanning Zheng, Badong Chen, José C. Príncipe
2017	Misc	`conf`	Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives. ICASSP Shujian Yu, Matthew Emigh, Eder Santana, José C. Príncipe
2017	Misc	`conf`	Automatic insect recognition using optical flight dynamics modeled by kernel adaptive ARMA network. ICASSP Kan Li, José C. Príncipe
2017	—	`conf`	Automatic plant identification using stem automata. MLSP Kan Li, Ying Ma, José C. Príncipe
2017	Misc	`conf`	Balancing exploration and exploitation in reinforcement learning using a value of information criterion. ICASSP Isaac J. Sledge, José C. Príncipe
2017	J	`jnl`	Complex Correntropy: Probabilistic Interpretation and Application to Complex-Valued Data. IEEE Signal Process. Lett. João P. F. Guimarães, Aluisio I. Rêgo Fontes, Joilson B. A. Rego, Allan de M. Martins, José C. Príncipe
2017	J	`jnl`	Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing. CoRR Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, José C. Príncipe
2017	J	`jnl`	Corrigendum to "Cyclostationary Correntropy: Definition and applications" [Expert Systems with Applications 69 (2017) 110-117]. Expert Syst. Appl. Aluisio I. Rêgo Fontes, Joilson B. A. Rego, Allan de M. Martins, Luiz Felipe Q. Silveira, José C. Príncipe
2017	J	`jnl`	Cyclostationary correntropy: Definition and applications. Expert Syst. Appl. Aluisio I. Rêgo Fontes, Joilson B. A. Rego, Allan de M. Martins, Luiz Felipe Q. Silveira, José C. Príncipe
2017	B	`conf`	Fast feedforward non-parametric deep learning network with automatic feature extraction. IJCNN Plamen Angelov, Xiaowei Gu, José C. Príncipe
2017	B	`conf`	Flight dynamics modeling and recognition using finite state machine for automatic insect recognition. IJCNN Kan Li, José C. Príncipe
2017	B	`conf`	Fusing attention with visual question answering. IJCNN Ryan Burt, Mihael Cudic, José C. Príncipe
2017	A*	`conf`	Group-Wise Point-Set Registration Based on Rényi's Second Order Entropy. CVPR Luis Gonzalo Sánchez Giraldo, Erion Hasanbelliu, Murali Rao, José C. Príncipe
2017	—	`conf`	Hardware implementation of adder for pulse signal processing. GlobalSIP Gabriel Nallathambi, Lei Rao, José C. Príncipe
2017	J	`jnl`	Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering. IEEE Trans. Signal Process. Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, Nanning Zheng, José C. Príncipe
2017	—	`conf`	Kernel-based adaptive learning improves accuracy of glucose predictive modelling in type 1 diabetes: A proof-of-concept study. EMBC Eleni I. Georga, José C. Príncipe, Evangelos C. Rizos, Dimitrios I. Fotiadis
2017	J	`jnl`	Marine Animal Classification with Correntropy Loss Based Multi-view Learning. CoRR Zheng Cao, Shujian Yu, Bing Ouyang, Fraser R. Dalgleish, Anni K. Vuorenkoski, Gabriel Alsenas, José C. Príncipe
2017	J	`jnl`	Marine animal classification using UMSLI in HBOI optical test facility. Multim. Tools Appl. Zheng Cao, José C. Príncipe, Bing Ouyang, Fraser R. Dalgleish, Anni K. Vuorenkoski, Brian Ramos, Gabriel Alsenas
2017	J	`jnl`	Maximum correntropy Kalman filter. Autom. Badong Chen, Xi Liu, Haiquan Zhao, José C. Príncipe
2017	J	`jnl`	Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information. CoRR Isaac J. Sledge, José C. Príncipe
2017	—	`conf`	Perception Updating Networks: On architectural constraints for interpretable video generative models. ICLR (Workshop) Eder Santana, José C. Príncipe
2017	J	`jnl`	Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding. IEEE Trans. Neural Networks Learn. Syst. Fang Wang, Yiwen Wang, Kai Xu, Hongbao Li, Yuxi Liao, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, José C. Príncipe
2017	J	`jnl`	Quantized Minimum Error Entropy Criterion. CoRR Badong Chen, Lei Xing, Nanning Zheng, José C. Príncipe
2017	J	`jnl`	Robust period estimation using mutual information for multi-band light curves in the synoptic survey era. CoRR Pablo Huijse, Pablo A. Estévez, Francisco Förster, Scott F. Daniel, Andrew J. Connolly, Pavlos Protopapas, Rodrigo Carrasco, José C. Príncipe
2017	J	`jnl`	Robust support vector machines based on the rescaled hinge loss function. Pattern Recognit. Guibiao Xu, Zheng Cao, Bao-Gang Hu, José C. Príncipe
2017	—	`conf`	Time based gain control for the analog to pulse converter. GlobalSIP Gabriel Nallathambi, José C. Príncipe
2017	—	`conf`	Unsupervised robust detection of behavioral correlates in ECoG. NER Carlos A. Loza, José C. Príncipe
2017	J	`jnl`	Using the Value of Information to Explore Stochastic, Discrete Multi-Armed Bandits. CoRR Isaac J. Sledge, José C. Príncipe
2017	—	`conf`	Welcome message. NER Shanbao Tong, José C. Príncipe, Lei Ding, Paul Sajda
2016	J	`jnl`	A Study of Musical Pitch Distance Using a Self-Organized Hierarchical Linear Dynamical System on Acoustic Signals. Comput. Music. J. Goktug T. Cinar, James Paul Sain, José C. Príncipe
2016	—	`conf`	A robust maximum correntropy criterion for dictionary learning. MLSP Carlos A. Loza, José C. Príncipe
2016	J	`jnl`	Correntropy induced joint power and admission control algorithm for dense small cell network. IET Commun. Zhirong Luan, Hua Qu, Ji-hong Zhao, Badong Chen, José C. Príncipe
2016	B	`conf`	Density-dependent quantized kernel least mean square. IJCNN Bao Xi, Lei Sun, Badong Chen, Jianji Wang, Nanning Zheng, José C. Príncipe
2016	B	`conf`	Empirical data analysis: A new tool for data analytics. SMC Plamen Angelov, Xiaowei Gu, Dmitry Kangin, José C. Príncipe
2016	—	`conf`	Estimation and modeling of EEG amplitude-temporal characteristics using a marked point process approach. EMBC Carlos A. Loza, José C. Príncipe
2016	J	`jnl`	Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks. CoRR Eder Santana, Matthew Emigh, Pablo Zerges, José C. Príncipe
2016	J	`jnl`	Fault detection via recurrence time statistics and one-class classification. Pattern Recognit. Lett. David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, José C. Príncipe
2016	B	`conf`	Generalized Correntropy Matching Pursuit: A novel, robust algorithm for sparse decomposition. IJCNN Carlos A. Loza, José C. Príncipe
2016	J	`jnl`	Generalized Correntropy for Robust Adaptive Filtering. IEEE Trans. Signal Process. Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, José C. Príncipe
2016	J	`jnl`	Information Theoretic-Learning Auto-Encoder. CoRR Eder Santana, Matthew Emigh, José C. Príncipe
2016	B	`conf`	Information Theoretic-Learning auto-encoder. IJCNN Eder Santana, Matthew Emigh, José C. Príncipe
2016	Misc	`conf`	Information point set registration for shape recognition. ICASSP Zheng Cao, José C. Príncipe, Bing Ouyang
2016	J	`jnl`	Insights into Entropy as a Measure of Multivariate Variability. Entropy Badong Chen, Jianji Wang, Haiquan Zhao, José C. Príncipe
2016	J	`jnl`	Kernel Learning for Dynamic Texture Synthesis. IEEE Trans. Image Process. Xinge You, Weigang Guo, Shujian Yu, Kan Li, José C. Príncipe, Dacheng Tao
2016	—	`conf`	Kernel adaptive filtering subject to equality function constraints. EUSIPCO Badong Chen, Zhengda Qin, Nanning Zheng, José C. Príncipe
2016	J	`jnl`	Kernel least mean square with adaptive kernel size. Neurocomputing Badong Chen, Junli Liang, Nanning Zheng, José C. Príncipe
2016	J	`jnl`	Learning Recurrent Waveforms Within EEGs. IEEE Trans. Biomed. Eng. Austin J. Brockmeier, José C. Príncipe
2016	—	`conf`	Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface. EMBC Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, José C. Príncipe
2016	B	`conf`	Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction. IJCNN Zheng Cao, Shujian Yu, Guibiao Xu, Badong Chen, José C. Príncipe
2016	J	`jnl`	Neurally Encoding Time for Olfactory Navigation. PLoS Comput. Biol. In Jun Park, Andrew M. Hein, Yuriy V. Bobkov, Matthew A. Reidenbach, Barry W. Ache, José C. Príncipe
2016	—	`conf`	Non-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters. EMBC Eleni I. Georga, José C. Príncipe, Demosthenes Polyzos, Dimitrios I. Fotiadis
2016	Misc	`conf`	Predicting visual attention using gamma kernels. ICASSP Ryan Burt, Eder Santana, José C. Príncipe, Nina Thigpen, Andreas Keil
2016	—	`conf`	Quantification of neural functional connectivity during an active avoidance task. EMBC Catia S. Silva, Mehrnaz Khodam Hazrati, Andreas Keil, José C. Príncipe
2016	J	`jnl`	Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning. IEEE Trans. Comput. Intell. AI Games Matthew Emigh, Evan G. Kriminger, Austin J. Brockmeier, José C. Príncipe, Panos M. Pardalos
2016	B	`conf`	Robust bounded logistic regression in the class imbalance problem. IJCNN Guibiao Xu, Bao-Gang Hu, José C. Príncipe
2016	J	`jnl`	Self-organizing kernel adaptive filtering. EURASIP J. Adv. Signal Process. Songlin Zhao, Badong Chen, Zheng Cao, Pingping Zhu, José C. Príncipe
2016	J	`jnl`	Signal Processing with Pulse Trains: An Algebraic Approach- Part I. CoRR Gabriel Nallathambi, José C. Príncipe
2016	J	`jnl`	Signal Processing with Pulse Trains: An Algebraic Approach- Part II. CoRR Gabriel Nallathambi, José C. Príncipe
2016	J	`jnl`	Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty. Circuits Syst. Signal Process. Wentao Ma, Badong Chen, Haiquan Zhao, Guan Gui, Jiandong Duan, José C. Príncipe
2016	J	`jnl`	The Kernel Adaptive Autoregressive-Moving-Average Algorithm. IEEE Trans. Neural Networks Learn. Syst. Kan Li, José C. Príncipe
2016	J	`jnl`	Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces. IEEE Trans. Biomed. Eng. Yiwen Wang, Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, José C. Príncipe
2016	Misc	`conf`	Transient model of EEG using Gini Index-based matching pursuit. ICASSP Carlos A. Loza, José C. Príncipe
2015	B	`conf`	A switch kernel width method of correntropy for channel estimation. IJCNN Weihua Wang, Ji-hong Zhao, Hua Qu, Badong Chen, José C. Príncipe
2015	B	`conf`	A variable step-size adaptive algorithm under maximum correntropy criterion. IJCNN Ren Wang, Badong Chen, Nanning Zheng, José C. Príncipe
2015	J	`jnl`	An Adaptive Signal Processing Framework for PV Power Maximization. Circuits Syst. Signal Process. Andre A. Vidal, Vítor Grade Tavares, José C. Príncipe
2015	—	`conf`	An adaptive kernel width update method of correntropy for channel estimation. DSP Weihua Wang, Ji-hong Zhao, Hua Qu, Badong Chen, José C. Príncipe
2015	—	`conf`	Cognitive Workload Discrimination in Flight Simulation Task Using a Generalized Measure of Association. ICONIP (3) Zhongxiang Dai, José C. Príncipe, Anastasios Bezerianos, Nitish V. Thakor
2015	J	`jnl`	Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases. CoRR Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, José C. Príncipe, Pablo Zegers
2015	J	`jnl`	Context Dependent Encoding Using Convolutional Dynamic Networks. IEEE Trans. Neural Networks Learn. Syst. Rakesh Chalasani, José C. Príncipe
2015	J	`jnl`	Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion. IEEE Signal Process. Lett. Badong Chen, Jianji Wang, Haiquan Zhao, Nanning Zheng, José C. Príncipe
2015	J	`jnl`	Convergence of a Fixed-Point Minimum Error Entropy Algorithm. Entropy Yu Zhang, Badong Chen, Xi Liu, Zejian Yuan, José C. Príncipe
2015	B	`conf`	Directed generalized measure of association: A data driven approach towards causal inference. IJCNN Mehrnaz Khodam Hazrati, Andreas Keil, José C. Príncipe
2015	J	`jnl`	Downscaling Satellite-Based Soil Moisture in Heterogeneous Regions Using High-Resolution Remote Sensing Products and Information Theory: A Synthetic Study. IEEE Trans. Geosci. Remote. Sens. Subit Chakrabarti, Tara Bongiovanni, Jasmeet Judge, Karthik Nagarajan, José C. Príncipe
2015	B	`conf`	Effective insect recognition using a stacked autoencoder with maximum correntropy criterion. IJCNN Yu Qi, Goktug T. Cinar, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Yueming Wang, José C. Príncipe
2015	Misc	`conf`	Explicit versus implicit source estimation for blind multiple input single output system identification. ICASSP Austin J. Brockmeier, José C. Príncipe
2015	B	`conf`	Exponential C-Loss for data fitting. IJCNN Badong Chen, Ren Wang, Nanning Zheng, José C. Príncipe
2015	J	`jnl`	Functional Connectivity in Frequency-Tagged Cortical Networks During Active Harm Avoidance. Brain Connect. Mehrnaz Khodam Hazrati, Vladimir Miskovic, José C. Príncipe, Andreas Keil
2015	J	`jnl`	Generalized Correntropy for Robust Adaptive Filtering. CoRR Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, José C. Príncipe
2015	B	`conf`	Group feature selection in image classification with multiple kernel learning. IJCNN Zheng Cao, José C. Príncipe, Bing Ouyang
2015	J	`jnl`	Kernel Temporal Differences for Neural Decoding. Comput. Intell. Neurosci. Jihye Bae, Luis G. Sánchez Giraldo, Eric A. Pohlmeyer, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2015	Misc	`conf`	Learning joint features for color and depth images with Convolutional Neural Networks for object classification. ICASSP Eder Santana, Karl P. Dockendorf, José C. Príncipe
2015	B	`conf`	Linear discriminant analysis with an information divergence criterion. IJCNN Matthew Emigh, Evan Kriminger, José C. Príncipe
2015	—	`conf`	Long-term scalp epileptic EEG quantification with GMA dynamics. EMBC Hong Ji, Mehrnaz Khodam Hazrati, Badong Chen, Yonghong Liu, Andreas Keil, José C. Príncipe
2015	J	`jnl`	Maximum Correntropy Kalman Filter. CoRR Badong Chen, Xi Liu, Haiquan Zhao, José C. Príncipe
2015	J	`jnl`	Measures of Entropy From Data Using Infinitely Divisible Kernels. IEEE Trans. Inf. Theory Luis Gonzalo Sánchez Giraldo, Murali Rao, José C. Príncipe
2015	J	`jnl`	Minimum Error Entropy Algorithms with Sparsity Penalty Constraints. Entropy Zongze Wu, Siyuan Peng, Wentao Ma, Badong Chen, José C. Príncipe
2015	B	`conf`	Mixed generative and supervised learning modes in Deep Predictive Coding Networks. IJCNN Eder Santana, José C. Príncipe
2015	B	`conf`	On initial convergence behavior of the kernel least mean square algorithm. IJCNN Badong Chen, Ren Wang, Nanning Zheng, José C. Príncipe
2015	B	`conf`	Parallel flow in Deep Predictive Coding Networks. IJCNN Eder Santana, Goktug T. Cinar, José C. Príncipe
2015	J	`jnl`	Proportionate Minimum Error Entropy Algorithm for Sparse System Identification. Entropy Zongze Wu, Siyuan Peng, Badong Chen, Haiquan Zhao, José C. Príncipe
2015	—	`conf`	Pulse based signal processing for systolic peak recognition. MLSP Gabriel Nallathambi, José C. Príncipe, Neil R. Euliano
2015	—	`conf`	Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex. NER Kan Li, Salvador Dura-Bernal, Joseph T. Francis, William W. Lytton, José C. Príncipe
2015	J	`jnl`	Self-organizing maps with information theoretic learning. Neurocomputing Rakesh Chalasani, José C. Príncipe
2015	J	`jnl`	Smoothed least mean p-power error criterion for adaptive filtering. Digit. Signal Process. Badong Chen, Lei Xing, Zongze Wu, Junli Liang, José C. Príncipe, Nanning Zheng
2015	Misc	`conf`	Sparsity aware minimum error entropy algorithms. ICASSP Wentao Ma, Hua Qu, Ji-hong Zhao, Badong Chen, José C. Príncipe
2015	J	`jnl`	Special Issue on Advances in Self-organizing Maps. Neurocomputing Pablo A. Estévez, José C. Príncipe
2015	—	`ch.`	Theoretical Methods in Machine Learning. Handbook of Computational Intelligence Badong Chen, Weifeng Liu, José C. Príncipe
2015	J	`jnl`	Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum]. IEEE Comput. Intell. Mag. José C. Príncipe, Badong Chen
2014	J	`jnl`	2014 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. José C. Príncipe
2014	J	`jnl`	A Note on the W-S Lower Bound of the MEE Estimation. Entropy Badong Chen, Guangmin Wang, Nanning Zheng, José C. Príncipe
2014	J	`jnl`	A Novel, Fully Automated Pipeline for Period Estimation in the EROS 2 Data Set. CoRR Pavlos Protopapas, Pablo Huijse, Pablo A. Estévez, Pablo Zegers, José C. Príncipe
2014	J	`jnl`	A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control. Comput. Intell. Neurosci. Lin Li, Austin J. Brockmeier, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2014	—	`conf`	A reconfigurable parallel acceleration platform for evaluation of permutation entropy. EMBC Xiaowei Ren, Pengju Ren, Badong Chen, José C. Príncipe, Nanning Zheng
2014	—	`conf`	Addressing low frequency movement artifacts in EEG signal recorded during center-out reaching tasks. EMBC Gavin R. Philips, Mehrnaz Kh. Hazrati, Janis J. Daly, José C. Príncipe
2014	J	`jnl`	An Extended Result on the Optimal Estimation Under the Minimum Error Entropy Criterion. Entropy Badong Chen, Guangmin Wang, Nanning Zheng, José C. Príncipe
2014	J	`jnl`	An Extended Result on the Optimal Estimation under Minimum Error Entropy Criterion. CoRR Badong Chen, Guangmin Wang, Nanning Zheng, José C. Príncipe
2014	B	`conf`	An asymmetric stagewise least square loss function for imbalanced classification. IJCNN Guibiao Xu, Bao-Gang Hu, José C. Príncipe
2014	—	`conf`	Classification of hand movement direction based on EEG high-gamma activity. EMBC Carlos A. Loza, Gavin R. Philips, Mehrnaz Kh. Hazrati, Janis J. Daly, José C. Príncipe
2014	Misc	`conf`	Clustering of time series using a hierarchical linear dynamical system. ICASSP Goktug T. Cinar, José C. Príncipe
2014	J	`jnl`	Cognitive Architectures for Sensory Processing. Proc. IEEE José C. Príncipe, Rakesh Chalasani
2014	J	`jnl`	Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases. IEEE Comput. Intell. Mag. Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, José C. Príncipe, Pablo Zegers
2014	J	`jnl`	Computational intelligence in control. Annu. Rev. Control. António E. B. Ruano, Shuzhi Sam Ge, Thierry-Marie Guerra, Frank L. Lewis, José C. Príncipe, Matjaz Colnaric
2014	B	`conf`	Correntropy kernel temporal differences for reinforcement learning brain machine interfaces. IJCNN Jihye Bae, Luis G. Sánchez Giraldo, José C. Príncipe, Joseph T. Francis
2014	Misc	`conf`	Dynamic sparse coding with smoothing proximal gradient method. ICASSP Rakesh Chalasani, José C. Príncipe
2014	Misc	`conf`	Feature selection based on survival Cauchy-Schwartz mutual information. ICASSP Badong Chen, Xiaohan Yang, Hua Qu, Ji-hong Zhao, Nanning Zheng, José C. Príncipe
2014	B	`conf`	Hierarchical Linear Dynamical Systems: A new model for clustering of time series. IJCNN Goktug T. Cinar, Carlos A. Loza, José C. Príncipe
2014	J	`jnl`	Integrate and Fire Pulse Train Automaton for QRS detection. IEEE Trans. Biomed. Eng. Gabriel Nallathambi, José C. Príncipe
2014	—	`conf`	Joint optimization of algorithmic suites for EEG analysis. EMBC Eder Santana, Austin J. Brockmeier, José C. Príncipe
2014	J	`jnl`	Kernel Least Mean Square with Adaptive Kernel Size. CoRR Badong Chen, Junli Liang, Nanning Zheng, José C. Príncipe
2014	J	`jnl`	Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS. IEEE Trans. Signal Process. Pingping Zhu, Badong Chen, José C. Príncipe
2014	J	`jnl`	Learning dependence from samples. Int. J. Bioinform. Res. Appl. Sohan Seth, José C. Príncipe
2014	J	`jnl`	Neural Decoding with Kernel-Based Metric Learning. Neural Comput. Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe
2014	J	`jnl`	On the Importance of Synergisms Between Neuroscience and Engineering [Further Thoughts]. Proc. IEEE José C. Príncipe
2014	J	`jnl`	On the optimization properties of the correntropic loss function in data analysis. Optim. Lett. Mujahid N. Syed, Panos M. Pardalos, José C. Príncipe
2014	—	`conf`	Online Nonlinear Granger Causality Detection by Quantized Kernel Least Mean Square. ICONIP (2) Hong Ji, Badong Chen, Zejian Yuan, Nanning Zheng, Andreas Keil, José C. Príncipe
2014	B	`conf`	Pitch estimation using non-negative matrix factorization. IJCNN Ryan Burt, Goktug T. Cinar, José C. Príncipe
2014	Misc	`conf`	Projentropy: Using entropy to optimize spatial projections. ICASSP Austin J. Brockmeier, Eder Santana, Luis Gonzalo Sánchez Giraldo, José C. Príncipe
2014	B	`conf`	Quantized mixture kernel least mean square. IJCNN Rosha Pokharel, Sohan Seth, José C. Príncipe
2014	—	`conf`	Rate-Distortion Auto-Encoders. ICLR (Workshop Poster) Luis Gonzalo Sánchez Giraldo, José C. Príncipe
2014	Misc	`conf`	Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iteration. ICASSP Badong Chen, Nanning Zheng, José C. Príncipe
2014	J	`jnl`	Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion. IEEE Signal Process. Lett. Badong Chen, Lei Xing, Junli Liang, Nanning Zheng, José C. Príncipe
2014	J	`jnl`	The C-loss function for pattern classification. Pattern Recognit. Abhishek Singh, Rosha Pokharel, José C. Príncipe
2014	B	`conf`	Trimmed affine projection algorithms. IJCNN Badong Chen, Xiaohan Yang, Hong Ji, Hua Qu, Nanning Zheng, José C. Príncipe
2013	J	`jnl`	A Novel Nonparametric Distance Estimator for Densities with Error Bounds. Entropy Alexandre R. F. Carvalho, João Manuel R. S. Tavares, José C. Príncipe
2013	B	`conf`	A fast proximal method for convolutional sparse coding. IJCNN Rakesh Chalasani, José C. Príncipe, Naveen Ramakrishnan
2013	Misc	`conf`	A greedy algorithm for model selection of tensor decompositions. ICASSP Austin J. Brockmeier, José C. Príncipe, Anh Huy Phan, Andrzej Cichocki
2013	—	`conf`	A new method of concurrently visualizing states, values, and actions in reinforcement based brain machine interfaces. EMBC Jihye Bae, Luis Gonzalo Sánchez Giraldo, Eric A. Pohlmeyer, Justin C. Sanchez, José C. Príncipe
2013	B	`conf`	A parameter-free kernel design based on cumulative distribution function for correntropy. IJCNN Jongmin Lee, Pingping Zhu, José C. Príncipe
2013	—	`conf`	A scalable RC architecture for mean-shift clustering. ASAP Stefan Craciun, Gongyu Wang, Alan D. George, Herman Lam, José C. Príncipe
2013	—	`conf`	An adaptive duty-cycle methodology for PV power maximization using a single variable. EUROCON Andre A. Vidal, Vítor Grade Tavares, José C. Príncipe
2013	B	`conf`	Analysis on extended kernel recursive least squares algorithm. IJCNN Pingping Zhu, José C. Príncipe
2013	—	`conf`	Deep Predictive Coding Networks ICLR (Workshop Poster) Rakesh Chalasani, José C. Príncipe
2013	B	`conf`	Diffusion least-mean squares over adaptive networks with dynamic topologies. IJCNN Bilal Fadlallah, José C. Príncipe
2013	J	`jnl`	Fixed budget quantized kernel least-mean-square algorithm. Signal Process. Songlin Zhao, Badong Chen, Pingping Zhu, José C. Príncipe
2013	—	`conf`	Functional dependence in the human brain: A graph theoretical analysis. EMBC Bilal H. Fadlallah, Andreas Keil, José C. Príncipe
2013	J	`jnl`	Guest Editorial: Brain/neuronal - Computer game interfaces and interaction. IEEE Trans. Comput. Intell. AI Games Damien Coyle, José C. Príncipe, Fabien Lotte, Anton Nijholt
2013	A*	`conf`	Information Theoretic Learning with Infinitely Divisible Kernels ICLR Luis Gonzalo Sánchez Giraldo, José C. Príncipe
2013	—	`conf`	Information-theoretic metric learning: 2-D linear projections of neural data for visualization. EMBC Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo, Matthew S. Emigh, Jihye Bae, John S. Choi, Joseph T. Francis, José C. Príncipe
2013	J	`jnl`	Invexity of the Minimum Error Entropy Criterion. IEEE Signal Process. Lett. Mujahid N. Syed, Panos M. Pardalos, José C. Príncipe
2013	J	`jnl`	Kernel Methods on Spike Train Space for Neuroscience: A Tutorial. IEEE Signal Process. Mag. Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, José C. Príncipe
2013	B	`conf`	Kernel adaptive filtering with confidence intervals. IJCNN Kan Li, Badong Chen, José C. Príncipe
2013	J	`jnl`	Kernel minimum error entropy algorithm. Neurocomputing Badong Chen, Zejian Yuan, Nanning Zheng, José C. Príncipe
2013	Misc	`conf`	Kernel recurrent system trained by real-time recurrent learning algorithm. ICASSP Pingping Zhu, José C. Príncipe
2013	B	`conf`	Mixture kernel least mean square. IJCNN Rosha Pokharel, Sohan Seth, José C. Príncipe
2013	—	`conf`	Quantifying cognitive state from EEG using phase synchrony. EMBC Lu Wan, Bilal H. Fadlallah, Andreas Keil, José C. Príncipe
2013	J	`jnl`	Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]. IEEE Signal Process. Mag. Klaus-Robert Müller, Tülay Adali, Kenji Fukumizu, José C. Príncipe, Sergios Theodoridis
2013	B	`conf`	Survival kernel with application to kernel adaptive filtering. IJCNN Badong Chen, Nanning Zheng, José C. Príncipe
2013	J	`jnl`	The Convergence of Machine and Biological Intelligence. IEEE Intell. Syst. Zhaohui Wu, Raj Reddy, Gang Pan, Nenggan Zheng, Paul F. M. J. Verschure, Qiaosheng Zhang, Xiaoxiang Zheng, José C. Príncipe, Alex Kreilinger, Martin Rohm, Vera Kaiser, Robert Leeb, Rüdiger Rupp, Gernot R. Müller-Putz
2012	J	`jnl`	"Trends" Expert Overview Sessions Revived at ICASSP 2011: Part 3 [In the Spotlight]. IEEE Signal Process. Mag. Alle-Jan van der Veen, José C. Príncipe
2012	J	`jnl`	A novel extended kernel recursive least squares algorithm. Neural Networks Pingping Zhu, Badong Chen, José C. Príncipe
2012	—	`conf`	Advances in Brain Machine Interfaces. BIOSTEC José C. Príncipe
2012	—	`conf`	An Association Framework to Analyze Dependence Structure in Time Series. EMBC Bilal H. Fadlallah, Austin J. Brockmeier, Sohan Seth, Lin Li, Andreas Keil, José C. Príncipe
2012	J	`jnl`	An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves CoRR Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, Pablo Zegers, José C. Príncipe
2012	B	`conf`	An adaptive kernel width update for correntropy. IJCNN Songlin Zhao, Badong Chen, José C. Príncipe
2012	Misc	`conf`	Analyzing dependence structure of the human brain in response to visual stimuli. ICASSP Bilal Fadlallah, Sohan Seth, Andreas Keil, José C. Príncipe
2012	J	`jnl`	Approximate reconstruction of bandlimited functions for the integrate and fire sampler. Adv. Comput. Math. Hans G. Feichtinger, José C. Príncipe, José Luis Romero, Alexander Singh-Alvarado, Gino Angelo M. Velasco
2012	J	`jnl`	Conditional Association. Neural Comput. Sohan Seth, José C. Príncipe
2012	—	`conf`	Correntropy-based spectrum sensing for wireless microphones in man-made noise environments. CIP Jongmin Lee, José C. Príncipe
2012	Misc	`conf`	Data-driven tree-structured Bayesian network for image segmentation. ICASSP Kittipat Kampa, José C. Príncipe, Duangmanee Putthividhya, Anand Rangarajan
2012	—	`conf`	Decoding stimuli from multi-source neural responses. EMBC Lin Li, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2012	J	`jnl`	Extraction of signals with higher order temporal structure using Correntropy. Signal Process. Eder Santana, José C. Príncipe, Ewaldo Eder Carvalho Santana, Allan Kardec Barros
2012	B	`conf`	Hidden state estimation using the Correntropy Filter with fixed point update and adaptive kernel size. IJCNN Goktug T. Cinar, José C. Príncipe
2012	B	`conf`	Kernel classifier with Correntropy loss. IJCNN Rosha Pokharel, José C. Príncipe
2012	J	`jnl`	Locally linear embedding based on correntropy measure for visualization and classification. Neurocomputing Genaro Daza-Santacoloma, Germán Castellanos-Domínguez, José C. Príncipe
2012	—	`conf`	Locating spatial patterns of waveforms during sensory perception in scalp EEG. EMBC Austin J. Brockmeier, Mehrnaz Kh. Hazrati, Walter J. Freeman, Lin Li, José C. Príncipe
2012	J	`jnl`	Mean square convergence analysis for kernel least mean square algorithm. Signal Process. Badong Chen, Songlin Zhao, Pingping Zhu, José C. Príncipe
2012	—	`conf`	Measure of Statistical Dependence. ICPRAM (1) José C. Príncipe
2012	J	`jnl`	Measures of Entropy from Data Using Infinitely Divisible Kernels CoRR Luis Gonzalo Sánchez Giraldo, Murali Rao, José C. Príncipe
2012	—	`conf`	Mutual information analysis on non-stationary neuron importance for brain machine interfaces. EMBC Yuxi Liao, Yiwen Wang, Xiaoxiang Zheng, José C. Príncipe
2012	B	`conf`	Nearest Neighbor Distributions for imbalanced classification. IJCNN Evan Kriminger, José C. Príncipe, Choudur Lakshminarayan
2012	J	`jnl`	On the Smoothed Minimum Error Entropy Criterion. Entropy Badong Chen, José C. Príncipe
2012	B	`conf`	One-class classifier based on extreme value statistics. ESANN David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2012	B	`conf`	Online efficient learning with quantized KLMS and L1 regularization. IJCNN Badong Chen, Songlin Zhao, Sohan Seth, José C. Príncipe
2012	B	`conf`	Online learning using a Bayesian surprise metric. IJCNN Erion Hasanbelliu, Kittipat Kampa, José C. Príncipe, James Tory Cobb
2012	B	`conf`	Sequential causal estimation and learning from time-varying images. IJCNN Rakesh Chalasani, Goktug T. Cinar, José C. Príncipe
2012	J	`jnl`	Some Further Results on the Minimum Error Entropy Estimation. Entropy Badong Chen, José C. Príncipe
2012	J	`jnl`	Stochastic Information Gradient Algorithm with Generalized Gaussian Distribution Model. J. Circuits Syst. Comput. Badong Chen, José C. Príncipe, Jinchun Hu, Yu Zhu
2012	J	`jnl`	Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences. Neural Comput. Il Memming Park, Sohan Seth, Murali Rao, José C. Príncipe
2012	—	`conf`	Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex. EMBC Austin J. Brockmeier, John S. Choi, Matthew S. Emigh, Lin Li, Joseph T. Francis, José C. Príncipe
2012	—	`conf`	Temporal context in object recognition. MLSP Rakesh Chalasani, José C. Príncipe
2011	J	`jnl`	"Trends" Expert Overview Sessions Revived at ICASSP 2011 [In the Spotlight]. IEEE Signal Process. Mag. Alle-Jan van der Veen, José C. Príncipe
2011	J	`jnl`	"Trends" Expert Overview Sessions Revived at ICASSP 2011: Part 2. IEEE Signal Process. Mag. Alle-Jan van der Veen, José C. Príncipe
2011	J	`jnl`	A New Spatiotemporal Filtering Method for Single-Trial Estimation of Correlated ERP Subcomponents. IEEE Trans. Biomed. Eng. Delaram Jarchi, Saeid Sanei, José C. Príncipe, Bahador Makkiabadi
2011	J	`jnl`	A Unified Framework for Quadratic Measures of Independence. IEEE Trans. Signal Process. Sohan Seth, Murali Rao, Il Park, José C. Príncipe
2011	—	`conf`	A real-time reconstruction algorithm for the integrate and fire sampler. ACSCC Alexander Singh-Alvarado, José C. Príncipe
2011	—	`conf`	A reproducing kernel Hilbert space formulation of the principle of relevant information. MLSP Luis G. Sánchez Giraldo, José C. Príncipe
2011	—	`conf`	A robust point matching algorithm for non-rigid registration using the Cauchy-Schwarz divergence. MLSP Erion Hasanbelliu, Luis Gonzalo Sánchez Giraldo, José C. Príncipe
2011	J	`jnl`	A test of independence based on a generalized correlation function. Signal Process. Murali Rao, Sohan Seth, Jian-Wu Xu, Yunmei Chen, Hemant D. Tagare, José C. Príncipe
2011	B	`conf`	Adaptive background estimation using an information theoretic cost for hidden state estimation. IJCNN Goktug T. Cinar, José C. Príncipe
2011	J	`jnl`	An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. IEEE Trans. Neural Networks Yili Xia, Beth Jelfs, Marc M. Van Hulle, José C. Príncipe, Danilo P. Mandic
2011	—	`conf`	An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). MLSP Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2011	—	`conf`	An information-theoretic approach to motor action decoding with a reconfigurable parallel architecture. EMBC Stefan Craciun, Austin J. Brockmeier, Alan D. George, Herman Lam, José C. Príncipe
2011	B	`conf`	Autocorrelation features for synthetic aperture sonar image seabed segmentation. SMC James Tory Cobb, José C. Príncipe
2011	B	`conf`	Closed-form cauchy-schwarz PDF divergence for mixture of Gaussians. IJCNN Kittipat Kampa, Erion Hasanbelliu, José C. Príncipe
2011	—	`conf`	Efficient temporal decomposition of local field potentials. MLSP Austin J. Brockmeier, José C. Príncipe, Babak Mahmoudi, Justin C. Sanchez
2011	—	`conf`	Estimation of periodicity in non-uniformly sampled astronomical data using a 2D kernel in correntropy. MLSP Bibhu Prasad Mishra, José C. Príncipe, Pablo A. Estévez, Pavlos Protopapas
2011	B	`conf`	Evaluating dependence in spike train metric spaces. IJCNN Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe
2011	B	`conf`	Extended Kalman filter using a kernel recursive least squares observer. IJCNN Pingping Zhu, Badong Chen, José C. Príncipe
2011	J	`jnl`	Information theoretic learning with adaptive kernels. Signal Process. Abhishek Singh, José C. Príncipe
2011	B	`conf`	Information theory related learning. ESANN Thomas Villmann, José C. Príncipe, Andrzej Cichocki
2011	C	`conf`	Integrate and fire circuit as an ADC replacement. ISCAS Manu Rastogi, Alexander Singh-Alvarado, John G. Harris, José C. Príncipe
2011	—	`conf`	Irregular Tree-Structured Bayesian Network for image segmentation. MLSP Kittipat Kampa, Duangmanee Putthividhya, José C. Príncipe
2011	B	`conf`	Kernel adaptive filtering with maximum correntropy criterion. IJCNN Songlin Zhao, Badong Chen, José C. Príncipe
2011	—	`conf`	Optimizing microstimulation using a reinforcement learning framework. EMBC Austin J. Brockmeier, John S. Choi, Marcello M. DiStasio, Joseph T. Francis, José C. Príncipe
2011	—	`conf`	Reinforcement learning via kernel temporal difference. EMBC Jihye Bae, Pratik Chhatbar, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2011	—	`conf`	Robust EEG preprocessing for dependence-based condition discrimination. EMBC Bilal H. Fadlallah, Sohan Seth, Andreas Keil, José C. Príncipe
2011	B	`conf`	Sparse analog associative memory via L1-regularization and thresholding. IJCNN Rakesh Chalasani, José C. Príncipe
2011	B	`conf`	Statistical dependence measure for feature selection in microarray datasets. ESANN Verónica Bolón-Canedo, Sohan Seth, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José C. Príncipe
2011	—	`conf`	Stochastic kernel temporal difference for reinforcement learning. MLSP Jihye Bae, Luis G. Sánchez Giraldo, Pratik Chhatbar, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2011	C	`conf`	The integrate-and-fire sampler: A special type of asynchronous Σ - Δ modulator. ISCAS Alexander Singh-Alvarado, Manu Rastogi, John G. Harris, José C. Príncipe
2011	J	`jnl`	Δ-Entropy: Definition, properties and applications in system identification with quantized data. Inf. Sci. Badong Chen, Yu Zhu, Jinchun Hu, José C. Príncipe
2010	B	`conf`	A Recursive Online Kernel PCA Algorithm. ICPR Erion Hasanbelliu, Luis Gonzalo Sánchez Giraldo, José C. Príncipe
2010	B	`conf`	A Test of Granger Non-causality Based on Nonparametric Conditional Independence. ICPR Sohan Seth, José C. Príncipe
2010	Misc	`conf`	A closed form recursive solution for Maximum Correntropy training. ICASSP Abhishek Singh, José C. Príncipe
2010	J	`jnl`	A comparison of binless spike train measures. Neural Comput. Appl. António R. C. Paiva, Il Park, José C. Príncipe
2010	Misc	`conf`	A conditional distribution function based approach to design nonparametric tests of independence and conditional independence. ICASSP Sohan Seth, José C. Príncipe
2010	B	`conf`	A loss function for classification based on a robust similarity metric. IJCNN Abhishek Singh, José C. Príncipe
2010	—	`conf`	A parallel hardware architecture for information-theoretic adaptive filtering. HPRCTA@SC Stefan Craciun, Alan D. George, Herman Lam, José C. Príncipe
2010	B	`conf`	Binary classification based on SVDD projection and nearest neighbors. IJCNN Daesung Kang, Jooyoung Park, José C. Príncipe
2010	J	`jnl`	Cooperative diversity of spectrum sensing for cognitive radio systems. IEEE Trans. Signal Process. Dongliang Duan, Liuqing Yang, José C. Príncipe
2010	Misc	`conf`	Dynamic factor graphs: A novel framework for multiple features data fusion. ICASSP Kittipat Kampa, José C. Príncipe, K. Clint Slatton
2010	J	`jnl`	Extraction of signals with specific temporal structure using kernel methods. IEEE Trans. Signal Process. Eder Santana, José C. Príncipe, Ewaldo Eder Carvalho Santana, Raimundo Carlos Silvério Freire, Allan Kardec Barros
2010	Misc	`conf`	Fixed-budget kernel recursive least-squares. ICASSP Steven Van Vaerenbergh, Ignacio Santamaría, Weifeng Liu, José C. Príncipe
2010	—	`book`	Information Theoretic Learning - Renyi's Entropy and Kernel Perspectives Information Theoretic Learning José C. Príncipe
2010	—	`ch.`	Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces. Information Theoretic Learning José C. Príncipe
2010	B	`conf`	Information theoretic learning applied to wind power modeling. IJCNN Ricardo J. Bessa, Vladimiro Miranda, José C. Príncipe, Audun Botterud, Jun Wang
2010	Misc	`conf`	Kernel width adaptation in information theoretic cost functions. ICASSP Abhishek Singh, José C. Príncipe
2010	J	`jnl`	Modulation Selection from a Battery Power Efficiency Perspective. IEEE Trans. Commun. Dongliang Duan, Fengzhong Qu, Liuqing Yang, Ananthram Swami, José C. Príncipe
2010	B	`conf`	Period detection in light curves from astronomical objects using correntropy. IJCNN Pablo A. Estévez, Pablo Huijse, Pablo Zegers, José C. Príncipe, Pavlos Protopapas
2010	Misc	`conf`	Quantification of inter-trial non-stationarity in spike trains from periodically stimulated neural cultures. ICASSP Il Park, José C. Príncipe
2010	B	`conf`	Self organizing maps with the correntropy induced metric. IJCNN Rakesh Chalasani, José C. Príncipe
2010	C	`conf`	Variable Selection: A Statistical Dependence Perspective. ICMLA Sohan Seth, José C. Príncipe
2009	J	`jnl`	A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing. Neural Comput. António R. C. Paiva, Il Park, José C. Príncipe
2009	J	`jnl`	A Spatiotemporal Filtering Methodology for Single-Trial ERP Component Estimation. IEEE Trans. Biomed. Eng. Ruijiang Li, José C. Príncipe, Margaret M. Bradley, Vera Ferrari
2009	J	`jnl`	A low complexity robust detector in impulsive noise. Signal Process. Puskal P. Pokharel, Weifeng Liu, José C. Príncipe
2009	Misc	`conf`	A new nonparametric measure of conditional independence. ICASSP Sohan Seth, Il Park, José C. Príncipe
2009	J	`jnl`	An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters. IEEE Trans. Neural Networks Weifeng Liu, Il Park, José C. Príncipe
2009	J	`jnl`	Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces. Neural Networks Yiwen Wang, José C. Príncipe, Justin C. Sanchez
2009	J	`jnl`	Coadaptive Brain-Machine Interface via Reinforcement Learning. IEEE Trans. Biomed. Eng. Jack DiGiovanna, Babak Mahmoudi, José A. B. Fortes, José C. Príncipe, Justin C. Sanchez
2009	B	`conf`	Cooperative diversity of spectrum sensing in cognitive radio networks. WCNC Dongliang Duan, Liuqing Yang, José C. Príncipe
2009	J	`jnl`	Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants. Neural Networks Justin C. Sanchez, Babak Mahmoudi, Jack DiGiovanna, José C. Príncipe
2009	J	`jnl`	Extended kernel recursive least squares algorithm. IEEE Trans. Signal Process. Weifeng Liu, Il Park, Yiwen Wang, José C. Príncipe
2009	J	`jnl`	Kernel least mean square algorithm with constrained growth. Signal Process. Puskal P. Pokharel, Weifeng Liu, José C. Príncipe
2009	J	`jnl`	Liquid state machines and cultured cortical networks: The separation property. Biosyst. Karl P. Dockendorf, Il Park, Ping He, José C. Príncipe, Thomas B. DeMarse
2009	J	`jnl`	Mapping broadband electrocorticographic recordings to two-dimensional hand trajectories in humans: Motor control features. Neural Networks Aysegul Gunduz, Justin C. Sanchez, Paul R. Carney, José C. Príncipe
2009	J	`jnl`	Mean shift: An information theoretic perspective. Pattern Recognit. Lett. Sudhir Rao, Allan de Medeiros Martins, José C. Príncipe
2009	J	`jnl`	Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces. Neural Comput. Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
2009	J	`jnl`	Spatial-Temporal Clustering of Neural Data Using Linked-Mixtures of Hidden Markov Models. EURASIP J. Adv. Signal Process. Shalom Darmanjian, José C. Príncipe
2009	J	`jnl`	Statistical Signal Processing in Neuroscience. EURASIP J. Adv. Signal Process. Karim G. Oweiss, José C. Príncipe, Don H. Johnson
2009	J	`jnl`	The correntropy MACE filter. Pattern Recognit. Kyu-Hwa Jeong, Weifeng Liu, Seungju Han, Erion Hasanbelliu, José C. Príncipe
2009	J	`jnl`	Theories, Analysis, and Bounds of the Finite-Support Approximation for the Inverses of Mixing-Phase FIR Systems. IEEE Trans. Circuits Syst. I Regul. Pap. Shih Yu Chang, Hsiao-Chun Wu, Frank Neubrander, José C. Príncipe
2008	J	`jnl`	A new nonlinear similarity measure for multichannel signals. Neural Networks Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, José C. Príncipe
2008	J	`jnl`	Boosted and Linked Mixtures of HMMs for Brain-Machine Interfaces. EURASIP J. Adv. Signal Process. Shalom Darmanjian, José C. Príncipe
2008	Misc	`conf`	Compressed signal reconstruction using the correntropy induced metric. ICASSP Sohan Seth, José C. Príncipe
2008	J	`jnl`	Enhancing the correntropy MACE filter with random projections. Neurocomputing Kyu-Hwa Jeong, José C. Príncipe
2008	J	`jnl`	Kernel Affine Projection Algorithms. EURASIP J. Adv. Signal Process. Weifeng Liu, José C. Príncipe
2008	C	`conf`	Pulse-based signal compression for implanted neural recording systems. ISCAS John G. Harris, José C. Príncipe, Justin C. Sanchez, Du Chen, Christy She
2008	C	`conf`	Real time signal reconstruction from spikes on a digital signal processor. ISCAS John G. Harris, Jie Xu, Manu Rastogi, Alexander Singh-Alvarado, Vaibhav Garg, José C. Príncipe, Kalyana Vuppamandla
2008	J	`jnl`	Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK. Signal Process. Puskal P. Pokharel, Umut Ozertem, Deniz Erdogmus, José C. Príncipe
2008	Misc	`conf`	Reproducing kernel Hilbert spaces for spike train analysis. ICASSP António R. C. Paiva, Il Park, José C. Príncipe
2008	J	`jnl`	Robust switching blind equalizer for wireless cognitive receivers. IEEE Trans. Wirel. Commun. Hsiao-Chun Wu, Yiyan Wu, José C. Príncipe, Xianbin Wang
2008	J	`jnl`	Technology and Signal Processing for Brain-Machine Interfaces. IEEE Signal Process. Mag. Justin C. Sanchez, José C. Príncipe, Toshikazu Nishida, Rizwan Bashirullah, John G. Harris, José A. B. Fortes
2008	J	`jnl`	The Kernel Least-Mean-Square Algorithm. IEEE Trans. Signal Process. Weifeng Liu, Puskal P. Pokharel, José C. Príncipe
2008	B	`conf`	The wellposedness analysis of the kernel adaline. IJCNN Weifeng Liu, José C. Príncipe
2007	B	`conf`	A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters. IJCNN Il Park, António R. C. Paiva, José C. Príncipe, John G. Harris
2007	B	`conf`	A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces. IJCNN Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
2007	—	`conf`	A New Information Theoretic Measure of PDF Symmetry. ICASSP (2) Weifeng Liu, Puskal P. Pokharel, José C. Príncipe
2007	B	`conf`	A New Nonlinear Similarity Measure for Multichannel Biological Signals. IJCNN Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, José C. Príncipe
2007	B	`conf`	A Novel Switching Scheme Between Adaptive Information Algorithms. IJCNN Seungju Han, Sudhir Rao, Deniz Erdogmus, José C. Príncipe
2007	B	`conf`	A Novel Weighted LBG Algorithm for Neural Spike Compression. IJCNN Sudhir Rao, António R. C. Paiva, José C. Príncipe
2007	J	`jnl`	A unifying criterion for instantaneous blind source separation based on correntropy. Signal Process. Ruijiang Li, Weifeng Liu, José C. Príncipe
2007	B	`conf`	An Associative Memory Readout in ESN for Neural Action Potential Detection. IJCNN Nicolas J. Dedual, Mustafa C. Ozturk, Justin C. Sanchez, José C. Príncipe
2007	—	`conf`	Brain Machine Interfaces: Modeling Strategies for Neural Signal Processing. DSP José C. Príncipe
2007	J	`jnl`	Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography. Comput. Intell. Neurosci. Anant Hegde, Deniz Erdogmus, Deng-Shan Shiau, José C. Príncipe, J. Chris Sackellares
2007	J	`jnl`	Correntropy: Properties and Applications in Non-Gaussian Signal Processing. IEEE Trans. Signal Process. Weifeng Liu, Puskal P. Pokharel, José C. Príncipe
2007	B	`conf`	Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI. IJCNN Shalom Darmanjian, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
2007	J	`jnl`	Information cut for clustering using a gradient descent approach. Pattern Recognit. Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Torbjørn Eltoft
2007	—	`conf`	Kernel LMS. ICASSP (3) Puskal P. Pokharel, Weifeng Liu, José C. Príncipe
2007	J	`jnl`	Quasi-sliding mode control strategy based on multiple-linear models. Neurocomputing Jeongho Cho, José C. Príncipe, Deniz Erdogmus, Mark A. Motter
2007	—	`conf`	Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices. ICASSP (2) Puskal P. Pokharel, Umut Ozertem, Deniz Erdogmus, José C. Príncipe
2007	B	`conf`	Spectral Clustering of Synchronous Spike Trains. IJCNN António R. C. Paiva, Sudhir Rao, Il Park, José C. Príncipe
2007	—	`conf`	The Fast Correntropy Mace Filter. ICASSP (2) Kyu-Hwa Jeong, Seungju Han, José C. Príncipe
2007	J	`jnl`	The Laplacian Classifier. IEEE Trans. Signal Process. Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft
2007	Misc	`conf`	Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces. International Conference on Computational Science (1) Jack DiGiovanna, Loris Marchal, Prapaporn Rattanatamrong, Ming Zhao, Shalom Darmanjian, Babak Mahmoudi, Justin C. Sanchez, José C. Príncipe, Linda Hermer-Vazquez, Renato J. O. Figueiredo, José A. B. Fortes
2007	B	`conf`	Water Inflow Forecasting using the Echo State Network: a Brazilian Case Study. IJCNN Rodrigo Sacchi, Mustafa C. Ozturk, José C. Príncipe, Adriano A. F. Carneiro, Ivan Nunes da Silva
2006	—	`conf`	A Closed Form Solution for a Nonlinear Wiener Filter. ICASSP (3) Puskal P. Pokharel, Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe
2006	B	`conf`	A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. IJCNN Yiwen Wang, António R. C. Paiva, José C. Príncipe
2006	—	`conf`	A Normalized Minimum Error Entropy Stochastic Algorithm. ICASSP (5) Seungju Han, Sudhir Rao, Kyu-Hwa Jeong, José C. Príncipe
2006	—	`conf`	A Reconfigurable Neural Signal Processor (NSP) for Brain Machine Interfaces. EMBC Shalom Darmanjian, Grzegorz Cieslewski, Scott Morrison, Benjamin Dang, Karl S. Gugel, José C. Príncipe
2006	—	`conf`	A Wireless Power Interface for Rechargeable Battery Operated Neural Recording Implants. EMBC Pengfei Li, José C. Príncipe, Rizwan Bashirullah
2006	—	`conf`	An Adaptive Algorithm Based On The Sigmoidal Function. SBRN Ewaldo Eder Carvalho Santana, José C. Príncipe, Allan Kardec Barros, R. C. S. Freire
2006	—	`conf`	An Explicit Construction Of A Reproducing Gaussian Kernel Hilbert Space. ICASSP (5) Jian-Wu Xu, Puskal P. Pokharel, Kyu-Hwa Jeong, José C. Príncipe
2006	J	`jnl`	An analysis of entropy estimators for blind source separation. Signal Process. Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe
2006	—	`conf`	Analysis of Amplitude Modulated Control Features for ECoG Neuroprosthetics. EMBC Justin C. Sanchez, Paul R. Carney, José C. Príncipe
2006	—	`conf`	Analysis of the Correlation between Local Field Potentials and Neuronal Firing Rate in the Motor Cortex. EMBC Yiwen Wang, Justin C. Sanchez, José C. Príncipe, Jeremiah D. Mitzelfelt, Aysegul Gunduz
2006	B	`conf`	Arm Motion Reconstruction via Feature Clustering in Joint Angle Space. IJCNN Jack DiGiovanna, Justin C. Sanchez, B. J. Fregly, José C. Príncipe
2006	—	`conf`	Blinking Artifact Removal in Cognitive EEG Data Using ICA. EMBC Ruijiang Li, José C. Príncipe
2006	B	`conf`	Correntropy as a Novel Measure for Nonlinearity Tests. IJCNN Aysegul Gunduz, Anant Hegde, José C. Príncipe
2006	B	`conf`	Correntropy: A Localized Similarity Measure. IJCNN Weifeng Liu, Puskal P. Pokharel, José C. Príncipe
2006	J	`jnl`	Editorial. IEEE Trans. Biomed. Eng. José C. Príncipe
2006	—	`conf`	Effects of Acute Hippocampal Stimulation on EEG Dynamics. EMBC Sandeep P. Nair, J. Chris Sackellares, Deng-Shan Shiau, Wendy M. Norman, Linda K. Dance, Panos M. Pardalos, José C. Príncipe, Paul R. Carney
2006	J	`jnl`	Feature Extraction Using Information-Theoretic Learning. IEEE Trans. Pattern Anal. Mach. Intell. Kenneth E. Hild II, Deniz Erdogmus, Kari Torkkola, José C. Príncipe
2006	J	`jnl`	From linear adaptive filtering to nonlinear information processing - The design and analysis of information processing systems. IEEE Signal Process. Mag. Deniz Erdogmus, José C. Príncipe
2006	J	`jnl`	Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing. J. VLSI Signal Process. Deniz Erdogmus, Robert Jenssen, Yadunandana N. Rao, José C. Príncipe
2006	—	`conf`	Gravity Transform for Input Conditioning in Brain Machine Interfaces. EMBC António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
2006	—	`conf`	Improved Linear BMI Systems via Population Averaging. EMBC Jack DiGiovanna, Justin C. Sanchez, José C. Príncipe
2006	B	`conf`	Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. IJCNN Robert Jenssen, Deniz Erdogmus, José C. Príncipe
2006	—	`conf`	Kernel Based Synthetic Discriminant Function for Object Recognition. ICASSP (5) Kyu-Hwa Jeong, Puskal P. Pokharel, Jian-Wu Xu, Seungju Han, José C. Príncipe
2006	B	`conf`	Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space. IJCNN Il Park, Dongming Xu, Thomas B. DeMarse, José C. Príncipe
2006	—	`conf`	Neural Signal Sampling via the Low Power Wireless Pico System. EMBC Grzegorz Cieslewski, David Cheney, Karl S. Gugel, Justin C. Sanchez, José C. Príncipe
2006	B	`conf`	Nonlinear Component Analysis Based on Correntropy. IJCNN Jian-Wu Xu, Puskal P. Pokharel, António R. C. Paiva, José C. Príncipe
2006	—	`conf`	On Spatio-Temporal Dependency Changes in Epileptic Intracranial EEG: A Statistical Assessment. EMBC (Supplement) Anant Hegde, José C. Príncipe
2006	—	`conf`	Robust Blind Simo Channel Estimation Using Adatron. ICASSP (4) Dongho Han, José C. Príncipe, Liuqing Yang, Ignacio Santamaría, Javier Vía
2006	J	`jnl`	Some Equivalences between Kernel Methods and Information Theoretic Methods. J. VLSI Signal Process. Robert Jenssen, Torbjørn Eltoft, Deniz Erdogmus, José C. Príncipe
2006	—	`conf`	Spike Sorting Using non Parametric Clustering VIA Cauchy Schwartz PDF Divergence. ICASSP (5) Sudhir Rao, Justin C. Sanchez, Seungju Han, José C. Príncipe
2006	J	`jnl`	The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels. J. Frankl. Inst. Robert Jenssen, José C. Príncipe, Deniz Erdogmus, Torbjørn Eltoft
2006	—	`conf`	Visualization of the Short Term Maximum Lyapunov Exponent Topography in the Epileptic Brain. EMBC Nadia Mammone, Francesco Carlo Morabito, José C. Príncipe
2005	B	`conf`	An information theoretic approach to adaptive system training using unlabeled data. IJCNN Kyu-Hwa Jeong, Jian-Wu Xu, José C. Príncipe
2005	—	`conf`	An information-theoretic perspective to kernel independent components analysis. ICASSP (5) Jian-Wu Xu, Deniz Erdogmus, Robert Jenssen, José C. Príncipe
2005	B	`conf`	Comparison of TDNN training algorithms in brain machine interfaces. IJCNN Yiwen Wang, Sung-Phil Kim, José C. Príncipe
2005	B	`conf`	Computing with transiently stable states. IJCNN Mustafa C. Ozturk, José C. Príncipe
2005	J	`jnl`	Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization. EURASIP J. Adv. Signal Process. Sung-Phil Kim, Yadunandana N. Rao, Deniz Erdogmus, Justin C. Sanchez, Miguel A. L. Nicolelis, José C. Príncipe
2005	B	`conf`	Direct adaptive control: an echo state network and genetic algorithm approach. IJCNN Dongming Xu, Jing Lan, José C. Príncipe
2005	J	`jnl`	Error whitening criterion for adaptive filtering: theory and algorithms. IEEE Trans. Signal Process. Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe
2005	J	`jnl`	Fast error whitening algorithms for system identification and control with noisy data. Neurocomputing Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José C. Príncipe
2005	—	`conf`	Learning mappings in brain machine interfaces with echo state networks. ICASSP (5) Yadunandana N. Rao, Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, José C. Príncipe, Jose M. Carmena, Mikhail A. Lebedev, Miguel A. L. Nicolelis
2005	J	`jnl`	Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response. IEEE Trans. Neural Networks Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2005	J	`jnl`	Local Linear PID Controllers for Nonlinear Control. Control. Intell. Syst. Jing Lan, Jeongho Cho, Deniz Erdogmus, José C. Príncipe, Mark A. Motter, Jian-Wu Xu
2005	C	`conf`	Minimum error entropy Luenberger observer. ACC Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe
2005	—	`conf`	Robust matched filtering in the feature space. EUSIPCO Ignacio Santamaría, Deniz Erdogmus, Rati Agrawal, José C. Príncipe
2005	—	`conf`	Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection. ICASSP (2) Rui Yan, Guojun He, Deniz Erdogmus, Sung-Phil Kim, José C. Príncipe, Yijun Liu
2005	J	`jnl`	Simulation of Human Speech Production Applied to the Study and Synthesis of European Portuguese. EURASIP J. Adv. Signal Process. António J. S. Teixeira, Roberto Martinez, Luís Nuno Silva, Luis M. T. Jesus, José C. Príncipe, Francisco A. C. Vaz
2005	B	`conf`	Sparse channel estimation with regularization method using convolution inequality for entropy. IJCNN Dongho Han, Sung-Phil Kim, José C. Príncipe
2005	J	`jnl`	Stochastic blind equalization based on PDF fitting using Parzen estimator. IEEE Trans. Signal Process. Marcelino Lázaro, Ignacio Santamaría, Deniz Erdogmus, Kenneth E. Hild II, Carlos Pantaleón, José C. Príncipe
2005	—	`conf`	Supervised training of adaptive systems with partially labeled data. ICASSP (5) Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe
2005	—	`conf`	The Laplacian spectral classifier. ICASSP (5) Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft
2005	B	`conf`	Towards the modeling of dissociated cortical tissue in the liquid state machine framework. IJCNN Dilip Goswami, Klaus Schuch, Yi Zheng, Thomas B. DeMarse, José C. Príncipe
2004	—	`conf`	Accurate linear parameter estimation in colored noise. ICASSP (2) Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe
2004	J	`jnl`	Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation. IEEE Trans. Signal Process. Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Marcelino Lázaro, Ignacio Santamaría
2004	J	`jnl`	Ascertaining the importance of neurons to develop better brain-machine interfaces. IEEE Trans. Biomed. Eng. Justin C. Sanchez, Jose M. Carmena, Mikhail A. Lebedev, Miguel A. L. Nicolelis, John G. Harris, José C. Príncipe
2004	J	`jnl`	Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications. J. VLSI Signal Process. Yadunandana N. Rao, José C. Príncipe, Tan F. Wong
2004	B	`conf`	Information theoretic spectral clustering. IJCNN Robert Jenssen, Torbjørn Eltoft, José C. Príncipe
2004	J	`jnl`	Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information. J. VLSI Signal Process. Deniz Erdogmus, José C. Príncipe
2004	—	`conf`	Minimizing Fisher information of the error in supervised adaptive filter training. ICASSP (5) Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe
2004	—	`conf`	Mixture of competitive linear models for phased-array magnetic resonance imaging. ICASSP (5) Deniz Erdogmus, Rui Yan, Erik G. Larsson, José C. Príncipe, Jeffrey R. Fitzsimmons
2004	B	`conf`	Modified Freeman model: a stability analysis and application to pattern recognition. IJCNN Mustafa C. Ozturk, Dongming Xu, José C. Príncipe
2004	B	`conf`	Nonlinear independent component analysis by homomorphic transformation of the mixtures. IJCNN Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe
2004	—	`conf`	Parzen particle filters. ICASSP (5) Tue Lehn-Schiøler, Deniz Erdogmus, José C. Príncipe
2004	B	`conf`	Real-time PCA (principal component analysis) implementation on DSP. IJCNN Dongho Han, Yadunandana N. Rao, José C. Príncipe, Karl S. Gugel
2004	J	`jnl`	Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation. EURASIP J. Adv. Signal Process. Deniz Erdogmus, Yadunandana N. Rao, Hemanth Peddaneni, Anant Hegde, José C. Príncipe
2004	B	`conf`	Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense. IJCNN Anant Hegde, Deniz Erdogmus, Tue Lehn-Schiøler, Yadunandana N. Rao, José C. Príncipe
2004	B	`conf`	Welcome. IJCNN José C. Príncipe
2003	—	`conf`	A hybrid subspace projection method for system identification. ICASSP (6) Sung-Phil Kim, Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe
2003	B	`conf`	A local linear modeling paradigm with a modified counterpropagation network. IJCNN Jeongho Cho, José C. Príncipe, Mark A. Motter
2003	B	`conf`	A two-processing element adaptable linear oscillating recurrent system with single-weight plasticity. IJCNN Michael R. Johnson, José C. Príncipe
2003	B	`conf`	Accurate initialization of neural network weights by backpropagation of the desired response. IJCNN Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen
2003	J	`jnl`	Adaptive epileptic seizure prediction system. IEEE Trans. Biomed. Eng. Leonidas D. Iasemidis, Deng-Shan Shiau, Wanpracha Art Chaovalitwongse, J. Chris Sackellares, Panos M. Pardalos, José C. Príncipe, Paul R. Carney, Awadhesh Prasad, Balaji Veeramani, Kostas Tsakalis
2003	—	`conf`	An algorithm based on the even moments of the error. NNSP Allan Kardec Barros, José C. Príncipe, Yoshinori Takeuchi, C. H. Sales, Noboru Ohnishi
2003	A	`conf`	Bimodal brain-machine interface for motor control of robotic prosthetic. IROS Shalom Darmanjian, Sung-Phil Kim, Michael C. Nechyba, Scott Morrison, José C. Príncipe, Johan Wessberg, Miguel A. L. Nicolelis
2003	B	`conf`	Clustering using Renyi's entropy. IJCNN Robert Jenssen, Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft
2003	J	`jnl`	Convergence properties and data efficiency of the minimum error entropy criterion in ADALINE training. IEEE Trans. Signal Process. Deniz Erdogmus, José C. Príncipe
2003	—	`conf`	Echo cancellation by global optimization of Kautz filters using an information theoretic criterion. ICASSP (6) Ching-An Lai, Deniz Erdogmus, José C. Príncipe
2003	B	`conf`	Error whitening criterion for linear filter estimation. IJCNN Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe
2003	—	`conf`	Fast error whitening algorithms for system identification and control. NNSP Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José C. Príncipe
2003	B	`conf`	Identification of dynamical systems using GMM with VQ initialization. IJCNN Jing Lan, José C. Príncipe, Mark A. Motter
2003	—	`conf`	Image combination for high-field phased-array MRI. ICASSP (5) Rui Yan, Deniz Erdogmus, Erik G. Larsson, José C. Príncipe, Jeffrey R. Fitzsimmons
2003	—	`conf`	Independent components analysis for fetal electrocardiogram extraction: a case for the data efficient Mermaid algorithm. NNSP Dorothee E. Marossero, Deniz Erdogmus, Neil R. Euliano, José C. Príncipe, Kenneth E. Hild II
2003	—	`conf`	Information cut and information forces for clustering. NNSP Robert Jenssen, José C. Príncipe, Torbjørn Eltoft
2003	—	`conf`	Local Hammerstein modeling based on self-organizing map. NNSP Jeongho Cho, José C. Príncipe, Mark A. Motter
2003	—	`conf`	Matched pdf-based blind equalization. ICASSP (4) Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Deniz Erdogmus, José C. Príncipe
2003	B	`conf`	Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP. IJCNN Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Miguel A. L. Nicolelis
2003	—	`conf`	On the convergence of SIPEX: a simultaneous principal components extraction algorithm. ICASSP (2) Deniz Erdogmus, Yadunandana N. Rao, M. Can Ozturk, Luis Vielva, José C. Príncipe
2003	J	`jnl`	Online entropy manipulation: stochastic information gradient. IEEE Signal Process. Lett. Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe
2003	—	`conf`	SOM-based similarity index measure: quantifying interactions between multivariate structures. NNSP Anant Hegde, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Jianbo Gao
2003	B	`conf`	Simulation of the Freeman model of the olfactory cortex: a quantitative performance analysis for the DSP approach. IJCNN Mustafa C. Ozturk, José C. Príncipe, Bryan A. Davis, Deniz Erdogmus
2003	B	`conf`	Supervised synaptic weight adaptation for a spiking neuron. IJCNN Bryan A. Davis, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe
2002	—	`conf`	A recursive Renyi's entropy estimator. NNSP Deniz Erdogmus, José C. Príncipe, Sung-Phil Kim, Justin C. Sanchez
2002	—	`conf`	Adaptive blind equalization through quadratic pdf matching. EUSIPCO Ignacio Santamaría, Carlos Pantaleón, Luis Vielva, José C. Príncipe
2002	—	`conf`	An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G. EUSIPCO Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Oscar Fontenla-Romero, Luis Vielva
2002	J	`jnl`	An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems. IEEE Trans. Signal Process. Deniz Erdogmus, José C. Príncipe
2002	—	`conf`	Blind deconvolution with minimum Renyi's entropy. EUSIPCO Deniz Erdogmus, José C. Príncipe, Luis Vielva
2002	—	`conf`	Blind separation of uncorrelated sources via principal component analysis of observations for a symmetric mixing matrix. EUSIPCO Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Luis Vielva
2002	Misc	`conf`	Blind source separation of time-varying instantaneous mixtures using an on-line algorithm. ICASSP Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe
2002	—	`conf`	Do Hebbian synapses estimate entropy? NNSP Deniz Erdogmus, José C. Príncipe, Kenneth E. Hild II
2002	—	`conf`	Efficient total least squares method for system modeling using minor component analysis. NNSP Yadunandana N. Rao, José C. Príncipe
2002	Misc	`conf`	Fast algorithm for adaptive blind equalization using order-α Renyi's entropy. ICASSP Ignacio Santamaría, Carlos Pantaleón, Luis Vielva, José C. Príncipe
2002	J	`jnl`	Guest editorial special issue on intelligent multimedia processing. IEEE Trans. Neural Networks Ling Guan, Tülay Adali, Shigeru Katagiri, Jan Larsen, José C. Príncipe
2002	—	`conf`	Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns. NNSP Justin C. Sanchez, Sung-Phil Kim, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Johan Wessberg, Miguel A. L. Nicolelis
2002	—	`conf`	Modified Kalman filter based method for training state-recurrent multilayer perceptrons. NNSP Deniz Erdogmus, Justin C. Sanchez, José C. Príncipe
2002	Misc	`conf`	Robust on-line Principal Component Analysis based on a fixed-point approach. ICASSP Yadunandana N. Rao, José C. Príncipe
2002	J	`jnl`	Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection. EURASIP J. Adv. Signal Process. Deniz Erdogmus, Yadunandana N. Rao, Kenneth E. Hild II, José C. Príncipe
2002	Misc	`conf`	Simultaneous extraction of Principal Components using givens rotations and output variances. ICASSP Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Jing Zhao, Kenneth E. Hild II
2002	J	`jnl`	Time Series Segmentation Using a Novel Adaptive Eigendecomposition Algorithm. J. VLSI Signal Process. Yadunandana N. Rao, José C. Príncipe
2002	Misc	`conf`	Underdetermined blind source separation in a time-varying environment. ICASSP Luis Vielva, Deniz Erdogmus, Carlos Pantaleón, Ignacio Santamaría, J. A. Pereda, José C. Príncipe
2001	J	`jnl`	Blind source separation using Renyi's mutual information. IEEE Signal Process. Lett. Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe
2001	J	`jnl`	Design and implementation of a biologically realistic olfactory cortex in analog VLSI. Proc. IEEE José C. Príncipe, Vítor Grade Tavares, John G. Harris, Walter J. Freeman
2001	—	`conf`	Dynamic Vector Quantization Of Speech. WSOM Shayan Garani, José C. Príncipe
2001	Misc	`conf`	Optimization in companion search spaces: the case of cross-entropy and the Levenberg-Marquardt algorithm. ICASSP Craig L. Fancourt, José C. Príncipe
2000	Misc	`conf`	A new clustering evaluation function using Renyi's information potential. ICASSP Erhan Gokcay, José C. Príncipe
2000	C	`conf`	A silicon olfactory bulb oscillator. ISCAS Vítor M. Grade Tavares, José C. Príncipe, John G. Harris
2000	Misc	`conf`	Dynamic subgrouping in RTRL provides a faster O(N ICASSP Neil R. Euliano, José C. Príncipe
2000	J	`jnl`	Innovating adaptive and neural systems instruction with interactive electronic books. Proc. IEEE José C. Príncipe, Neil R. Euliano, Curt Lefebvre
2000	J	`jnl`	Learning from Examples with Information Theoretic Criteria. J. VLSI Signal Process. José C. Príncipe, Dongxin Xu, Qun Zhao, John W. Fisher III
2000	Misc	`conf`	Multiresolution using principal component analysis. ICASSP Vic Brennan, José C. Príncipe
2000	—	`conf`	On the Use of Neural Networks in the Generalized Likelihood Ratio Test for Detecting Abrupt Changes in Signals. IJCNN (2) Craig L. Fancourt, José C. Príncipe
2000	Misc	`conf`	On the relationship between the Karhunen-Loeve transform and the prolate spheroidal wave functions. ICASSP Craig L. Fancourt, José C. Príncipe
2000	J	`jnl`	Special topic section on advances in statistical signal processing for medicine. IEEE Trans. Biomed. Eng. José C. Príncipe, Sergio Cerutti, Shun-ichi Amari
1999	B	`conf`	An introduction to information theoretic learning. IJCNN José C. Príncipe, Dongxin Xu
1999	B	`conf`	Blind separation of convolutive mixtures. IJCNN José C. Príncipe, Hsiao-Chun Wu
1999	Misc	`conf`	Generalized anti-Hebbian learning for source separation. ICASSP Hsiao-Chun Wu, José C. Príncipe
1999	B	`conf`	Improving ATR performance by incorporating virtual negative examples. IJCNN Qun Zhao, José C. Príncipe
1999	B	`conf`	Loss function for blind source separation-minimum entropy criterion and its generalized anti-Hebbian rules. IJCNN Hsiao-Chun Wu, José C. Príncipe, John G. Harris, Jui-Kuo Juan
1999	Misc	`conf`	Nonlinear dynamic modeling of the voiced excitation for improved speech synthesis. ICASSP Karthik Narasimhan, José C. Príncipe, Donald G. Childers
1999	Misc	`conf`	Training MLPs layer-by-layer with the information potential. ICASSP Dongxin Xu, José C. Príncipe
1999	B	`conf`	Training MLPs layer-by-layer with the information potential. IJCNN Dongxin Xu, José C. Príncipe
1999	J	`jnl`	Training neural networks with additive noise in the desired signal. IEEE Trans. Neural Networks Chuan Wang, José C. Príncipe
1998	Misc	`conf`	A novel measure for independent component analysis (ICA). ICASSP Dongxin Xu, José C. Príncipe, John W. Fisher III, Hsiao-Chun Wu
1998	Misc	`conf`	An interactive learning environment for adaptive systems instruction. ICASSP José C. Príncipe, Neil R. Euliano, Curt Lefebvre
1998	J	`jnl`	Comments on "Sinc interpolation of discrete periodic signals". IEEE Trans. Signal Process. Frank M. Candocia, José C. Príncipe
1998	Misc	`conf`	Exploring the time-frequency microstructure of speech for blind source separation. ICASSP Hsiao-Chun Wu, José C. Príncipe, Dongxin Xu
1998	J	`jnl`	Generalized eigendecomposition with an on-line local algorithm. IEEE Signal Process. Lett. Dongxin Xu, José C. Príncipe, Hsiao-Chun Wu
1998	J	`jnl`	Local dynamic modeling with self-organizing maps and applications to nonlinear system identification and control. Proc. IEEE José C. Príncipe, Ludong Wang, Mark A. Motter
1998	J	`jnl`	Making sense of a complex world [chaotic events modeling]. IEEE Signal Process. Mag. Simon Haykin, José C. Príncipe
1998	—	`conf`	Towards a silicon implementation of the olfactory system. ICECS Vítor M. Grade Tavares, José C. Príncipe
1997	—	`conf`	A neural implementation of interpolation with a family of kernels. ICNN Frank M. Candocia, José C. Príncipe
1997	—	`conf`	Adaptive target detection in UWB images using Laguerre network. ICNN Li-Kang Yen, José C. Príncipe, Dongxin Xu
1997	—	`conf`	Analog hardware implementation of adaptive filter structures. ICNN Jui-Kuo Juan, John G. Harris, José C. Príncipe
1997	Misc	`conf`	Generalized Oja's rule for linear discriminant analysis with Fisher criterion. ICASSP José C. Príncipe, Dongxin Xu, Chuan Wang
1997	J	`jnl`	Neural networks for dynamics modeling. IEEE Signal Process. Mag. José C. Príncipe
1997	—	`conf`	Speaker verification and identification using gamma neural networks. ICNN Chuan Wang, Dongxin Xu, José C. Príncipe
1997	Misc	`conf`	Temporal self-organization through competitive prediction. ICASSP Craig L. Fancourt, José C. Príncipe
1997	J	`jnl`	The past, present, and future of neural networks for signal processing. IEEE Signal Process. Mag. Jenq-Neng Hwang, Sun-Yuan Kung, Mahesan Niranjan, José C. Príncipe
1996	—	`conf`	A neighborhood map of competing one step predictors for piecewise segmentation and identification of time series. ICNN Craig L. Fancoua, José C. Príncipe
1996	Misc	`conf`	Analysis of the time-frequency representation using the Gamma filter. ICASSP Samel Çelebi, José C. Príncipe
1996	—	`conf`	Artificial neural networks with gamma kernels for automatic target detection. ICNN Munchurl Kim, José C. Príncipe
1996	—	`conf`	Context analysis by the gamma neural network. ICNN Hui-Huang Hsu, LiMin Fu, José C. Príncipe
1996	—	`conf`	Crosscorrelation estimation using teacher forcing Hebbian learning and its application. ICNN Chuan Wang, Hsiao-Chun Wu, José C. Príncipe
1996	J	`jnl`	Incremental backpropagation learning networks. IEEE Trans. Neural Networks LiMin Fu, Hui-Huang Hsu, José C. Príncipe
1996	—	`conf`	Spatio-temporal self-organizing feature maps. ICNN Neil R. Euliano, José C. Príncipe
1996	—	`conf`	Speech classification using a modified focused gamma network. ICNN Jyh-Ming Kuo, José C. Príncipe
1995	J	`jnl`	Adaptive WRLS-VFF for speech analysis. IEEE Trans. Speech Audio Process. Donald G. Childers, José C. Príncipe, Y. T. Ting
1995	Misc	`conf`	Magnitude spectral estimation via Poisson moments with application to speech recognition. ICASSP Samel Çelebi, José C. Príncipe
1994	J	`jnl`	An analysis of the gamma memory in dynamic neural networks. IEEE Trans. Neural Networks José C. Príncipe, Jyh-Ming Kuo, Samel Çelebi
1994	—	`conf`	Echo cancellation with the gamma filter. ICASSP (3) Mahlar Palkar, José C. Príncipe
1994	J	`jnl`	Multiresolution segmentation of respiratory electromyographic signals. IEEE Trans. Biomed. Eng. Haan-Go Choi, José C. Príncipe, Alistair A. Hutchison, John A. Wozniak
1993	J	`jnl`	The gamma-filter-a new class of adaptive IIR filters with restricted feedback. IEEE Trans. Signal Process. José C. Príncipe, Bert de Vries, Pedro Guedes de Oliveira
1992	J	`jnl`	Chaotic activity during iron-induced 'epileptiform' discharge in rat hippocampal slices. IEEE Trans. Biomed. Eng. Claire D. Koch, Reinhard A. Palovcik, Basim M. Uthman, José C. Príncipe
1992	Misc	`conf`	Generalized feedforward structures: a new class of adaptive filters. ICASSP José C. Príncipe, Bert de Vries, Pedro Guedes de Oliveira
1990	B	`conf`	Neural network classification of event related potentials for the design of a new computer interface. IJCNN Christopher Konger, José C. Príncipe, Murat Taner
1990	J	`jnl`	TDAT-time domain analysis tool for EEG analysis. IEEE Trans. Biomed. Eng. Seunghun Park, José C. Príncipe, Jack R. Smith, Steven A. Reid
1989	B	`conf`	A knowledge-based supervision model for machine tools. COMPSAC Taehwan Yoon, José C. Príncipe
1989	J	`jnl`	Sleep staging automaton based on the theory of evidence. IEEE Trans. Biomed. Eng. José C. Príncipe, Sunit K. Gala, Tae G. Chang
1987	J	`jnl`	Hidra: A Hierarchical Instrument for Distributed Real-Time Analysis of Biological Signals. IEEE Trans. Biomed. Eng. Pedro Guedes de Oliveira, José C. Príncipe, Ana Maria Tomé, Antonio Nunes Cruz