Fernando Pérez-Cruz
Orcid: 0000-0001-8996-5076Affiliations:
- ETH Zurich, Swiss Data Science Center, Switzerland
According to our database1,
Fernando Pérez-Cruz
authored at least 144 papers
between 1992 and 2024.
Collaborative distances:
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Bibliography
2024
Medical Image Anal., January, 2024
CoRR, 2024
CoRR, 2024
2023
Neural Networks, April, 2023
OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing.
Trans. Mach. Learn. Res., 2023
Revealing behavioral impact on mobility prediction networks through causal interventions.
CoRR, 2023
CoRR, 2023
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows.
CoRR, 2023
CoRR, 2023
CoRR, 2023
An evaluation of deep learning models for predicting water depth evolution in urban floods.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Computer Security - ESORICS 2023, 2023
2022
Stat. Comput., 2022
Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-model-based Conceptual Design of Pedestrian Bridges.
CoRR, 2022
Facilitated machine learning for image-based fruit quality assessment in developing countries.
CoRR, 2022
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding.
CoRR, 2022
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Vision paper: causal inference for interpretable and robust machine learning in mobility analysis.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding.
Proceedings of the Computer Security - ESORICS 2022, 2022
2021
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators.
Inf., 2021
Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network.
CoRR, 2021
2020
2019
Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies.
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
Proceedings of the Applied Cryptography and Network Security, 2019
2018
Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference.
IEEE Trans. Veh. Technol., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Cogn. Commun. Netw., 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
IEEE Trans. Signal Process., 2017
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017
2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Neural Comput., 2016
Locating user equipments and access points using RSSI fingerprints: A Gaussian process approach.
Proceedings of the 2016 IEEE International Conference on Communications, 2016
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016
2015
IEEE Commun. Lett., 2015
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 5th International Conference on the Internet of Things, 2015
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
IEEE J. Biomed. Health Informatics, 2014
IEEE Trans. Inf. Theory, 2014
IEEE Trans. Commun., 2014
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
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
IEEE Trans. Inf. Theory, 2013
IEEE Trans. Commun., 2013
IEEE Trans. Commun., 2013
IEEE Signal Process. Mag., 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
IEEE Commun. Lett., 2012
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
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the 2012 IEEE Information Theory Workshop, 2012
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
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012
2011
Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation.
IEEE Geosci. Remote. Sens. Lett., 2011
IEEE Commun. Lett., 2011
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
Proceedings of the 2011 IEEE Information Theory Workshop, 2011
Proceedings of the 2011 IEEE Information Theory Workshop, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
IEEE Trans. Signal Process., 2010
MIMO Gaussian channels with arbitrary inputs: optimal precoding and power allocation.
IEEE Trans. Inf. Theory, 2010
Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks.
IEEE Signal Process. Lett., 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Tree-structure expectation propagation for decoding LDPC codes over binary erasure channels.
Proceedings of the IEEE International Symposium on Information Theory, 2010
2009
IEEE Trans. Commun., 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the 17th European Signal Processing Conference, 2009
2008
IEEE Trans. Signal Process., 2008
EURASIP J. Adv. Signal Process., 2008
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
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of IEEE International Conference on Communications, 2008
2007
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines.
IEEE Trans. Syst. Man Cybern. Part C, 2007
2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 14th European Signal Processing Conference, 2006
2005
IEEE Signal Process. Lett., 2005
Neural Comput., 2005
Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives.
Neurocomputing, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
2004
J. VLSI Signal Process., 2004
SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems.
IEEE Trans. Signal Process., 2004
IEEE Trans. Syst. Man Cybern. Part C, 2004
IEEE Signal Process. Mag., 2004
Feature selection methods involving support vector machines for prediction of insolvency in non-life insurance companies.
Intell. Syst. Account. Finance Manag., 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
Proceedings of the 2004 12th European Signal Processing Conference, 2004
2003
IEEE Trans. Neural Networks, 2003
Feature selection and transduction for prediction of molecular bioactivity for drug design.
Bioinform., 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
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Proceedings of the 2003 IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2003), 2003
2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
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
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
1998
Proceedings of the 9th European Signal Processing Conference, 1998
1993
Proceedings of the IEEE International Conference on Acoustics, 1993
1992
A deconvolution-based efficient method for generating the excitation in linear predictive speech coding.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992