Fernando Pérez-Cruz
According to our database1,
Fernando Pérez-Cruz
authored at least 110 papers
between 1993 and 2019.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis OtherLinks
On csauthors.net:
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