Fernando Pérez-Cruz

According to our database1, Fernando Pérez-Cruz authored at least 110 papers between 1993 and 2019.

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Bibliography

2019
Probabilistic Time of Arrival Localization.
IEEE Signal Process. Lett., 2019

Improved BiGAN training with marginal likelihood equalization.
CoRR, 2019

Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference.
CoRR, 2019

Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies.
CoRR, 2019

Out-of-Sample Testing for GANs.
CoRR, 2019

Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019

2018
Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference.
IEEE Trans. Vehicular Technology, 2018

Complex Gaussian Processes for Regression.
IEEE Trans. Neural Netw. Learning Syst., 2018

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation.
IEEE Trans. Cogn. Comm. & Networking, 2018

Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade.
CoRR, 2018

Sparse Three-Parameter Restricted Indian Buffet Process for Understanding International Trade.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Widely Linear Complex-Valued Kernel Methods for Regression.
IEEE Trans. Signal Processing, 2017

Wireless RSSI fingerprinting localization.
Signal Processing, 2017

PassGAN: A Deep Learning Approach for Password Guessing.
CoRR, 2017

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
CoRR, 2017

2016
Infinite Factorial Unbounded-State Hidden Markov Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis.
Neural Computation, 2016

Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit.
Entropy, 2016

Complex-Valued Kernel Methods for Regression.
CoRR, 2016

Locating user equipments and access points using RSSI fingerprints: A Gaussian process approach.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

BLADE: A Universal, Blind Learning Algorithm for ToA Localization in NLOS Channels.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

2015
Bayesian nonparametric crowdsourcing.
J. Mach. Learn. Res., 2015

Approaching the DT Bound Using Linear Codes in the Short Blocklength Regime.
IEEE Communications Letters, 2015

Deep Learning for Multi-label Classification.
CoRR, 2015

Deep learning in partially-labeled data streams.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Infinite Factorial Dynamical Model.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Sensing WiFi network for personal IoT analytics.
Proceedings of the 5th International Conference on the Internet of Things, 2015

RSSI Localization with Gaussian Processes and Tracking.
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015

A Bayesian nonparametric approach for blind multiuser channel estimation.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
An Automated Screening System for Tuberculosis.
IEEE J. Biomedical and Health Informatics, 2014

Information-Estimation Relationships Over Binomial and Negative Binomial Models.
IEEE Trans. Information Theory, 2014

Expectation Propagation Detection for High-Order High-Dimensional MIMO Systems.
IEEE Trans. Communications, 2014

Bayesian nonparametric comorbidity analysis of psychiatric disorders.
J. Mach. Learn. Res., 2014

New information-estimation results for poisson, binomial and negative binomial models.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Improved performance of LDPC-coded MIMO systems with EP-based soft-decisions.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013
Tree-Structure Expectation Propagation for LDPC Decoding Over the BEC.
IEEE Trans. Information Theory, 2013

Tree-Structured Expectation Propagation for LDPC Decoding over BMS Channels.
IEEE Trans. Communications, 2013

Tree Expectation Propagation for ML Decoding of LDPC Codes over the BEC.
IEEE Trans. Communications, 2013

Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances.
IEEE Signal Process. Mag., 2013

Gaussian Processes for Nonlinear Signal Processing
CoRR, 2013

Improving the BP estimate over the AWGN channel using Tree-structured expectation propagation.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
Bayesian Equalization for LDPC Channel Decoding.
IEEE Trans. Signal Processing, 2012

On the Design of LDPC-Convolutional Ensembles Using the TEP Decoder.
IEEE Communications Letters, 2012

Bayesian Nonparametric Modeling of Suicide Attempts.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Preface.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Tree-structured expectation propagation for LDPC decoding over the AWGN channel.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Derivative of the relative entropy over the poisson and Binomial channel.
Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Finite-length performance of spatially-coupled LDPC codes under TEP decoding.
Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Mutual information and relative entropy over the Binomial and Negative Binomial channels.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Finite-length analysis of the TEP decoder for LDPC ensembles over the BEC.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

A novel sequential Bayesian approach to GPS acquisition.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Extended Input Space Support Vector Machine.
IEEE Trans. Neural Networks, 2011

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation.
IEEE Geosci. Remote Sensing Lett., 2011

Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes.
IEEE Communications Letters, 2011

An Application of Tree-Structured Expectation Propagation for Channel Decoding.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

MAP decoding for LDPC codes over the binary erasure channel.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

Zero-error codes for the noisy-typewriter channel.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

Capacity achieving LDPC ensembles for the TEP decoder in erasure channels.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

When to add another dimension when communicating over MIMO channels.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes.
IEEE Trans. Signal Processing, 2010

MIMO Gaussian channels with arbitrary inputs: optimal precoding and power allocation.
IEEE Trans. Information Theory, 2010

Joint Source and Channel Coding.
IEEE Signal Process. Mag., 2010

Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks.
IEEE Signal Process. Lett., 2010

Channel Decoding with a Bayesian Equalizer
CoRR, 2010

Tree-structure expectation propagation for decoding LDPC codes over binary erasure channels.
Proceedings of the IEEE International Symposium on Information Theory, 2010

2009
Gaussian process regressors for multiuser detection in DS-CDMA systems.
IEEE Trans. Communications, 2009

Distributed least square for consensus building in sensor networks.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Optimized concatenated LDPC codes for joint source-channel coding.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Soft LDPC decoding in nonlinear channels with Gaussian processes for classification.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Nonlinear Channel Equalization With Gaussian Processes for Regression.
IEEE Trans. Signal Processing, 2008

Digital Communication Receivers Using Gaussian Processes for Machine Learning.
EURASIP J. Adv. Sig. Proc., 2008

Estimation of Information Theoretic Measures for Continuous Random Variables.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Multiple-input multiple-output Gaussian channels: Optimal covariance for non-Gaussian inputs.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Kullback-Leibler divergence estimation of continuous distributions.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

On the uncertainty in sequential hypothesis testing.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Optimal Precoding for Digital Subscriber Lines.
Proceedings of IEEE International Conference on Communications, 2008

2007
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2007

2006
Gaussian Processes for Digital Communications.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Gaussian Processes for regression in channel equalization.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Learning a function and its derivative forcing the support vector expansion.
IEEE Signal Process. Lett., 2005

Convergence of the IRWLS Procedure to the Support Vector Machine Solution.
Neural Computation, 2005

Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives.
Neurocomputing, 2005

Gaussian Processes for Multiuser Detection in CDMA receivers.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Advantages of Unbiased Support Vector Classifiers for Data Mining Applications.
VLSI Signal Processing, 2004

SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems.
IEEE Trans. Signal Processing, 2004

Enhancing genetic feature selection through restricted search and Walsh analysis.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2004

Feature selection methods involving support vector machines for prediction of insolvency in non-life insurance companies.
Int. Syst. in Accounting, Finance and Management, 2004

Multidimensional SVM to include the samples of the derivatives in the reconstruction of a function.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

SVM classifiers for ASR: A discussion about parameterization.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Empirical risk minimization for support vector classifiers.
IEEE Trans. Neural Networks, 2003

Feature selection and transduction for prediction of molecular bioactivity for drug design.
Bioinformatics, 2003

Some experiments on speaker-independent isolated digit recognition using SVM classifiers.
Proceedings of the ITRW on Non-Linear Speech Processing, 2003

Support vector machine for the simultaneous approximation of a function and its derivative.
Proceedings of the NNSP 2003, 2003

Kernel methods and their applications to signal processing.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Multi-class support vector machines: a new approach.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Supervised-PCA and SVM Classifiers for Object Detection in Infrared Images.
Proceedings of the 2003 IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2003), 2003

2002
Feature Selection via Genetic Optimization.
Proceedings of the Artificial Neural Networks, 2002

Multi-dimensional Function Approximation and Regression Estimation.
Proceedings of the Artificial Neural Networks, 2002

Puncturing Multi-class Support Vector Machines.
Proceedings of the Artificial Neural Networks, 2002

Adaptive SVC for nonlinear channel equalization.
Proceedings of the 11th European Signal Processing Conference, 2002

Improving lossy image compression Wavelet transform based algorithms by predicting discarded coefficients.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes.
IEEE Trans. Neural Networks, 2001

SVC-based equalizer for burst TDMA transmissions.
Signal Processing, 2001

A new optimizing procedure for ν-support vector regressor.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Fast Training of Support Vector Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Support vector classifier with hyperbolic tangent penalty function.
Proceedings of the IEEE International Conference on Acoustics, 2000

An IRWLS procedure for SVR.
Proceedings of the 10th European Signal Processing Conference, 2000

1998
Reduced-complexity decision-feedback equalizer for nonlinear channels.
Proceedings of the 9th European Signal Processing Conference, 1998

1993
Feasibility analysis of channel equalizers using Kharitonov-type results.
Proceedings of the IEEE International Conference on Acoustics, 1993


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