Fernando Pérez-Cruz

178 papers A* 5A 3B 20C 3Misc 6Journal 101Unranked 37

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification. Int. J. Comput. Vis. Markus Marks, Manuel Knott, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Pérez-Cruz, Pietro Perona
2025	J	`jnl`	AIXD: AI-eXtended Design Toolbox for data-driven and inverse design. Comput. Aided Des. Alessandro Maissen, Aleksandra Anna Apolinarska, Sophia V. Kuhn, Luis Salamanca, Michael A. Kraus, Konstantinos Tatsis, Gonzalo Casas, Rafael Bischof, Romana Rust, Walter Kaufmann, Fernando Pérez-Cruz, Matthias Kohler
2025	J	`jnl`	Bayesian Surrogates for Risk-Aware Pre-Assessment of Aging Bridge Portfolios. CoRR Sophia V. Kuhn, Rafael Bischof, Marius Weber, Antoine Binggeli, Michael A. Kraus, Walter Kaufmann, Fernando Pérez-Cruz
2025	J	`jnl`	Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem. IEEE Trans. Dependable Secur. Comput. Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz
2025	J	`jnl`	Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing. CoRR Diego Machain Rivera, Selen Ercan Jenny, Ping-Hsuan Tsai, Ena Lloret-Fritschi, Luis Salamanca, Fernando Pérez-Cruz, Konstantinos E. Tatsis
2025	J	`jnl`	Predictive structural assessment with Bayesian deep learning. Adv. Eng. Informatics Sophia V. Kuhn, Marius Weber, Antoine Binggeli, Michael A. Kraus, Fernando Pérez-Cruz, Walter Kaufmann
2025	A	`conf`	Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation. UAI Simon Dirmeier, Carlo Albert, Fernando Pérez-Cruz
2024	J	`jnl`	A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification. CoRR Markus Marks, Manuel Knott, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Pérez-Cruz, Pietro Perona
2024	J	`jnl`	Counterfactual Explanations for Deep Learning-Based Traffic Forecasting. CoRR Rushan Wang, Yanan Xin, Yatao Zhang, Fernando Pérez-Cruz, Martin Raubal
2024	J	`jnl`	Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem. CoRR Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz
2024	J	`jnl`	FedComm: Federated Learning as a Medium for Covert Communication. IEEE Trans. Dependable Secur. Comput. Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini
2024	J	`jnl`	Signal domain adaptation network for limited-view optoacoustic tomography. Medical Image Anal. Anna Klimovskaia Susmelj, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xosé-Luís Dean-Ben, Fernando Pérez-Cruz, Daniel Razansky
2024	J	`jnl`	Synthetic location trajectory generation using categorical diffusion models. CoRR Simon Dirmeier, Ye Hong, Fernando Pérez-Cruz
2024	A	`conf`	TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. ACSAC Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini
2023	A*	`conf`	Adaptive Annealed Importance Sampling with Constant Rate Progress. ICML Shirin Goshtasbpour, Victor Cohen, Fernando Pérez-Cruz
2023	J	`jnl`	Adaptive Annealed Importance Sampling with Constant Rate Progress. CoRR Shirin Goshtasbpour, Victor Cohen, Fernando Pérez-Cruz
2023	J	`jnl`	An evaluation of deep learning models for predicting water depth evolution in urban floods. CoRR Stefania Russo, Nathanaël Perraudin, Steven Stalder, Fernando Pérez-Cruz, João Paulo Leitão, Guillaume Obozinski, Jan Dirk Wegner
2023	A*	`conf`	Anchor Data Augmentation. NeurIPS Nora Schneider, Shirin Goshtasbpour, Fernando Pérez-Cruz
2023	J	`jnl`	Anchor Data Augmentation. CoRR Nora Schneider, Shirin Goshtasbpour, Fernando Pérez-Cruz
2023	J	`jnl`	Diffusion models for probabilistic programming. CoRR Simon Dirmeier, Fernando Pérez-Cruz
2023	J	`jnl`	Enhancing diversity in GANs via non-uniform sampling. Inf. Sci. Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
2023	J	`jnl`	Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression. CoRR Sichen Li, Jochem Snuverink, Fernando Pérez-Cruz, Andreas Adelmann
2023	J	`jnl`	KG-FRUS: a Novel Graph-based Dataset of 127 Years of US Diplomatic Relations. CoRR Gökberk Özsoy, Luis Salamanca, Matthew Connelly, Raymond Hicks, Fernando Pérez-Cruz
2023	J	`jnl`	OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing. Trans. Mach. Learn. Res. Firat Ozdemir, Berkan Lafci, Xosé-Luís Dean-Ben, Daniel Razansky, Fernando Pérez-Cruz
2023	—	`conf`	PassGPT: Password Modeling and (Guided) Generation with Large Language Models. ESORICS (4) Javier Rando, Fernando Pérez-Cruz, Briland Hitaj
2023	J	`jnl`	PassGPT: Password Modeling and (Guided) Generation with Large Language Models. CoRR Javier Rando, Fernando Pérez-Cruz, Briland Hitaj
2023	J	`jnl`	Regularizing transformers with deep probabilistic layers. Neural Networks Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz
2023	A*	`conf`	Renku: a platform for sustainable data science. NeurIPS Rok Roskar, Chandrasekhar Ramakrishnan, Michele Volpi, Fernando Pérez-Cruz, Lilian Gasser, Firat Ozdemir, Patrick Paitz, Mohammad Alisafaee, Philipp Fischer, Ralf Grubenmann, Eliza J. Harris, Tasko Olevski, Carl Remlinger, Luis Salamanca, Elisabet Capon Garcia, Lorenzo Cavazzi, Jakub Chrobasik, Darlin Cordoba Osnas, Alessandro Degano, Jimena Dupre, Wesley Johnson, Eike Kettner, Laura Kinkead, Sean D. Murphy, Flora Thiebaut, Olivier Verscheure
2023	J	`jnl`	Revealing behavioral impact on mobility prediction networks through causal interventions. CoRR Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Pérez-Cruz, Martin Raubal
2023	J	`jnl`	Simulation-based inference using surjective sequential neural likelihood estimation. CoRR Simon Dirmeier, Carlo Albert, Fernando Pérez-Cruz
2023	J	`jnl`	Uncertainty quantification and out-of-distribution detection using surjective normalizing flows. CoRR Simon Dirmeier, Ye Hong, Yanan Xin, Fernando Pérez-Cruz
2022	J	`jnl`	Accelerated parallel non-conjugate sampling for Bayesian non-parametric models. Stat. Comput. Michael Minyi Zhang, Sinead A. Williamson, Fernando Pérez-Cruz
2022	B	`conf`	Deep Reinforcement Learning for Random Access in Machine-Type Communication. WCNC Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro, Fernando Pérez-Cruz
2022	J	`jnl`	Deep Reinforcement Learning for Random Access in Machine-Type Communication. CoRR Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro, Fernando Pérez-Cruz
2022	J	`jnl`	Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-model-based Conceptual Design of Pedestrian Bridges. CoRR Vera M. Balmer, Sophia V. Kuhn, Rafael Bischof, Luis Salamanca, Walter Kaufmann, Fernando Pérez-Cruz, Michael A. Kraus
2022	J	`jnl`	Facilitated machine learning for image-based fruit quality assessment in developing countries. CoRR Manuel Knott, Fernando Pérez-Cruz, Thijs Defraeye
2022	J	`jnl`	FedComm: Federated Learning as a Medium for Covert Communication. CoRR Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini
2022	J	`jnl`	Learning Summary Statistics for Bayesian Inference with Autoencoders. CoRR Carlo Albert, Simone Ulzega, Firat Ozdemir, Fernando Pérez-Cruz, Antonietta Mira
2022	—	`conf`	MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding. ESORICS (3) Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz
2022	J	`jnl`	OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing. CoRR Berkan Lafci, Firat Ozdemir, Xosé-Luís Dean-Ben, Daniel Razansky, Fernando Pérez-Cruz
2022	—	`conf`	Optimization of Annealed Importance Sampling Hyperparameters. ECML/PKDD (5) Shirin Goshtasbpour, Fernando Pérez-Cruz
2022	J	`jnl`	Optimization of Annealed Importance Sampling Hyperparameters. CoRR Shirin Goshtasbpour, Fernando Pérez-Cruz
2022	—	`conf`	Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data. MIDL Anna Klimovskaia Susmelj, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xosé-Luís Dean-Ben, Fernando Pérez-Cruz, Daniel Razansky
2022	J	`jnl`	TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. CoRR Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini
2022	J	`jnl`	Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis. CoRR Yanan Xin, Natasa Tagasovska, Fernando Pérez-Cruz, Martin Raubal
2022	—	`conf`	Vision paper: causal inference for interpretable and robust machine learning in mobility analysis. SIGSPATIAL/GIS Yanan Xin, Natasa Tagasovska, Fernando Pérez-Cruz, Martin Raubal
2022	A*	`conf`	What You See is What You Classify: Black Box Attributions. NeurIPS Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
2022	J	`jnl`	What You See is What You Classify: Black Box Attributions. CoRR Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
2021	J	`jnl`	A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators. CoRR Sichen Li, Mélissa Zacharias, Jochem Snuverink, Jaime Coello de Portugal, Fernando Pérez-Cruz, Davide Reggiani, Andreas Adelmann
2021	J	`jnl`	A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators. Inf. Sichen Li, Mélissa Zacharias, Jochem Snuverink, Jaime Coello de Portugal, Fernando Pérez-Cruz, Davide Reggiani, Andreas Adelmann
2021	J	`jnl`	A data acquisition setup for data driven acoustic design. CoRR Romana Rust, Achilleas Xydis, Kurt Heutschi, Nathanaël Perraudin, Gonzalo Casas, Chaoyu Du, Jürgen Strauss, Kurt Eggenschwiler, Fernando Pérez-Cruz, Fabio Gramazio, Matthias Kohler
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part I ECML/PKDD (1) Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II ECML/PKDD (2) Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part III ECML/PKDD (3) Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano
2021	J	`jnl`	Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network. CoRR Michael Stalder, Firat Ozdemir, Artur Safin, Jonas Sukys, Damien Bouffard, Fernando Pérez-Cruz
2021	J	`jnl`	Regularizing Transformers With Deep Probabilistic Layers. CoRR Aurora Cobo Aguilera, Pablo Martinez-Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz
2020	J	`jnl`	Robust Sampling in Deep Learning. CoRR Aurora Cobo Aguilera, Antonio Artés-Rodríguez, Fernando Pérez-Cruz, Pablo Martinez-Olmos
2019	J	`jnl`	Improved BiGAN training with marginal likelihood equalization. CoRR Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
2019	J	`jnl`	Out-of-Sample Testing for GANs. CoRR Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
2019	B	`conf`	PassGAN: A Deep Learning Approach for Password Guessing. ACNS Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz
2019	J	`jnl`	Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference. CoRR Javier Céspedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
2019	J	`jnl`	Probabilistic Time of Arrival Localization. CoRR Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
2019	J	`jnl`	Probabilistic Time of Arrival Localization. IEEE Signal Process. Lett. Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
2019	—	`conf`	Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model. FIMH Hector Dejea, Christine Tanner, Radhakrishna Achanta, Marco Stampanoni, Fernando Pérez-Cruz, Ender Konukoglu, Anne Bonnin
2019	J	`jnl`	Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies. CoRR Stefan G. Stark, Stephanie L. Hyland, Melanie Fernandes Pradier, Kjong-Van Lehmann, Andreas Wicki, Fernando Pérez-Cruz, Julia E. Vogt, Gunnar Rätsch
2018	J	`jnl`	Complex Gaussian Processes for Regression. IEEE Trans. Neural Networks Learn. Syst. Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, F. Javier Payan-Somet, Fernando Pérez-Cruz
2018	J	`jnl`	Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. CoRR Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz
2018	J	`jnl`	Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. IEEE Trans. Cogn. Commun. Netw. Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz
2018	A	`ed.`	International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain AISTATS Amos J. Storkey, Fernando Pérez-Cruz
2018	J	`jnl`	Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference. IEEE Trans. Veh. Technol. Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
2018	Misc	`conf`	Sparse Three-Parameter Restricted Indian Buffet Process for Understanding International Trade. ICASSP Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski, Lujupco Kocorev, Fernando Pérez-Cruz
2018	J	`jnl`	Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade. CoRR Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski, Ljupco Kocarev, Fernando Pérez-Cruz
2017	A*	`conf`	Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CCS Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz
2017	J	`jnl`	Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CoRR Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz
2017	J	`jnl`	PassGAN: A Deep Learning Approach for Password Guessing. CoRR Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz
2017	J	`jnl`	Widely Linear Complex-Valued Kernel Methods for Regression. IEEE Trans. Signal Process. Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Irene Santos Velázquez, Fernando Pérez-Cruz
2017	J	`jnl`	Wireless RSSI fingerprinting localization. Signal Process. Simon Yiu, Marzieh Dashti, Holger Claussen, Fernando Pérez-Cruz
2016	—	`conf`	BLADE: A Universal, Blind Learning Algorithm for ToA Localization in NLOS Channels. GLOBECOM Workshops Fernando Pérez-Cruz, Chih-Kuang Lin, Howard Huang
2016	J	`jnl`	Complex-Valued Kernel Methods for Regression. CoRR Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Irene Santos Velázquez, Fernando Pérez-Cruz
2016	J	`jnl`	Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit. Entropy Melanie F. Pradier, Pablo M. Olmos, Fernando Pérez-Cruz
2016	J	`jnl`	Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. Neural Comput. Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, Fernando Pérez-Cruz
2016	J	`jnl`	Infinite Factorial Unbounded-State Hidden Markov Model. IEEE Trans. Pattern Anal. Mach. Intell. Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz
2016	—	`conf`	Locating user equipments and access points using RSSI fingerprints: A Gaussian process approach. ICC Simon Yiu, Marzieh Dashti, Holger Claussen, Fernando Pérez-Cruz
2015	—	`conf`	A Bayesian nonparametric approach for blind multiuser channel estimation. EUSIPCO Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz
2015	J	`jnl`	Approaching the DT Bound Using Linear Codes in the Short Blocklength Regime. IEEE Commun. Lett. Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz, Sergio Verdú
2015	J	`jnl`	Bayesian nonparametric crowdsourcing. J. Mach. Learn. Res. Pablo G. Moreno, Antonio Artés-Rodríguez, Yee Whye Teh, Fernando Pérez-Cruz
2015	J	`jnl`	Deep Learning for Multi-label Classification. CoRR Jesse Read, Fernando Pérez-Cruz
2015	Misc	`conf`	Deep learning in partially-labeled data streams. SAC Jesse Read, Fernando Pérez-Cruz, Albert Bifet
2015	—	`conf`	Infinite Factorial Dynamical Model. NIPS Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz
2015	—	`conf`	RSSI Localization with Gaussian Processes and Tracking. GLOBECOM Workshops Marzieh Dashti, Simon Yiu, Siamak Yousefi, Fernando Pérez-Cruz, Holger Claussen
2015	—	`conf`	Sensing WiFi network for personal IoT analytics. IOT Utku Günay Acer, Aidan Boran, Claudio Forlivesi, Werner Liekens, Fernando Pérez-Cruz, Fahim Kawsar
2014	J	`jnl`	An Automated Screening System for Tuberculosis. IEEE J. Biomed. Health Informatics Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Michael G. Madden, Antonio Artés-Rodríguez
2014	J	`jnl`	Bayesian nonparametric comorbidity analysis of psychiatric disorders. CoRR Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
2014	J	`jnl`	Bayesian nonparametric comorbidity analysis of psychiatric disorders. J. Mach. Learn. Res. Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
2014	J	`jnl`	Expectation Propagation Detection for High-Order High-Dimensional MIMO Systems. IEEE Trans. Commun. Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
2014	B	`conf`	Improved performance of LDPC-coded MIMO systems with EP-based soft-decisions. ISIT Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
2014	J	`jnl`	Information-Estimation Relationships Over Binomial and Negative Binomial Models. IEEE Trans. Inf. Theory Camilo G. Taborda, Dongning Guo, Fernando Pérez-Cruz
2014	B	`conf`	New information-estimation results for poisson, binomial and negative binomial models. ISIT Camilo G. Taborda, Fernando Pérez-Cruz, Dongning Guo
2014	—	`conf`	Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation. CIP Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz
2013	J	`jnl`	Gaussian Processes for Nonlinear Signal Processing CoRR Fernando Pérez-Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes, Miguel Lázaro-Gredilla, Ignacio Santamaría
2013	J	`jnl`	Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances. IEEE Signal Process. Mag. Fernando Pérez-Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes, Miguel Lázaro-Gredilla, Ignacio Santamaría
2013	B	`conf`	Improving the BP estimate over the AWGN channel using Tree-structured expectation propagation. ISIT Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz
2013	J	`jnl`	Tree Expectation Propagation for ML Decoding of LDPC Codes over the BEC. IEEE Trans. Commun. Luis Salamanca, Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2013	J	`jnl`	Tree-Structure Expectation Propagation for LDPC Decoding Over the BEC. IEEE Trans. Inf. Theory Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2013	J	`jnl`	Tree-Structured Expectation Propagation for LDPC Decoding over BMS Channels. IEEE Trans. Commun. Luis Salamanca, Pablo M. Olmos, Fernando Pérez-Cruz, Juan José Murillo-Fuentes
2012	—	`conf`	A novel sequential Bayesian approach to GPS acquisition. CIP Niamh O'Mahony, Fernando Pérez-Cruz
2012	J	`jnl`	Bayesian Equalization for LDPC Channel Decoding. IEEE Trans. Signal Process. Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2012	—	`conf`	Bayesian Nonparametric Modeling of Suicide Attempts. NIPS Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
2012	B	`conf`	Derivative of the relative entropy over the poisson and Binomial channel. ITW Camilo G. Taborda, Fernando Pérez-Cruz
2012	B	`conf`	Finite-length analysis of the TEP decoder for LDPC ensembles over the BEC. ISIT Pablo M. Olmos, Fernando Pérez-Cruz, Luis Salamanca, Juan José Murillo-Fuentes
2012	B	`conf`	Finite-length performance of spatially-coupled LDPC codes under TEP decoding. ITW Pablo M. Olmos, Fernando Pérez-Cruz, Luis Salamanca, Juan José Murillo-Fuentes
2012	B	`conf`	Mutual information and relative entropy over the Binomial and Negative Binomial channels. ISIT Camilo G. Taborda, Fernando Pérez-Cruz
2012	J	`jnl`	On the Design of LDPC-Convolutional Ensembles Using the TEP Decoder. IEEE Commun. Lett. Pablo M. Olmos, Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2012	—	`conf`	Preface. MLSP Ignacio Santamaría, Jerónimo Arenas-García, Gustavo Camps-Valls, Deniz Erdogmus, Fernando Pérez-Cruz
2012	J	`jnl`	Tree-Structure Expectation Propagation for LDPC Decoding over the BEC CoRR Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2012	—	`conf`	Tree-structured expectation propagation for LDPC decoding over the AWGN channel. MLSP Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz
2011	—	`conf`	An Application of Tree-Structured Expectation Propagation for Channel Decoding. NIPS Pablo M. Olmos, Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2011	B	`conf`	Capacity achieving LDPC ensembles for the TEP decoder in erasure channels. ISIT Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2011	J	`jnl`	Extended Input Space Support Vector Machine. IEEE Trans. Neural Networks Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2011	B	`conf`	MAP decoding for LDPC codes over the binary erasure channel. ITW Luis Salamanca, Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2011	J	`jnl`	Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation. IEEE Geosci. Remote. Sens. Lett. Devis Tuia, Jochem Verrelst, Luis Alonso-Chorda, Fernando Pérez-Cruz, Gustavo Camps-Valls
2011	J	`jnl`	Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes. IEEE Commun. Lett. Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2011	Misc	`conf`	When to add another dimension when communicating over MIMO channels. ICASSP Sreechakra Goparaju, A. Robert Calderbank, William R. Carson, Miguel R. D. Rodrigues, Fernando Pérez-Cruz
2011	B	`conf`	Zero-error codes for the noisy-typewriter channel. ITW Francisco J. R. Ruiz, Fernando Pérez-Cruz
2010	J	`jnl`	Channel Decoding with a Bayesian Equalizer CoRR Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2010	B	`conf`	Channel decoding with a Bayesian equalizer. ISIT Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2010	J	`jnl`	Joint Source and Channel Coding. IEEE Signal Process. Mag. Maria Fresia, Fernando Pérez-Cruz, H. Vincent Poor, Sergio Verdú
2010	J	`jnl`	Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes. IEEE Trans. Signal Process. Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2010	J	`jnl`	MIMO Gaussian channels with arbitrary inputs: optimal precoding and power allocation. IEEE Trans. Inf. Theory Fernando Pérez-Cruz, Miguel R. D. Rodrigues, Sergio Verdú
2010	J	`jnl`	Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks. IEEE Signal Process. Lett. Fernando Pérez-Cruz, Sanjeev R. Kulkarni
2010	B	`conf`	Tree-structure expectation propagation for decoding LDPC codes over binary erasure channels. ISIT Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2009	B	`conf`	Distributed least square for consensus building in sensor networks. ISIT Fernando Pérez-Cruz, Sanjeev R. Kulkarni
2009	J	`jnl`	Gaussian process regressors for multiuser detection in DS-CDMA systems. IEEE Trans. Commun. Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2009	B	`conf`	Optimized concatenated LDPC codes for joint source-channel coding. ISIT Maria Fresia, Fernando Pérez-Cruz, H. Vincent Poor
2009	—	`conf`	Soft LDPC decoding in nonlinear channels with Gaussian processes for classification. EUSIPCO Pablo Martinez-Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2008	J	`jnl`	Digital Communication Receivers Using Gaussian Processes for Machine Learning. EURASIP J. Adv. Signal Process. Fernando Pérez-Cruz, Juan José Murillo-Fuentes
2008	—	`conf`	Estimation of Information Theoretic Measures for Continuous Random Variables. NIPS Fernando Pérez-Cruz
2008	B	`conf`	Kullback-Leibler divergence estimation of continuous distributions. ISIT Fernando Pérez-Cruz
2008	B	`conf`	Multiple-input multiple-output Gaussian channels: Optimal covariance for non-Gaussian inputs. ITW Miguel R. D. Rodrigues, Fernando Pérez-Cruz, Sergio Verdú
2008	J	`jnl`	Nonlinear Channel Equalization With Gaussian Processes for Regression. IEEE Trans. Signal Process. Fernando Pérez-Cruz, Juan José Murillo-Fuentes, Sebastian Caro
2008	—	`conf`	On the uncertainty in sequential hypothesis testing. ISBI Ricardo Santiago-Mozos, Ramón Fernández-Lorenzana, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2008	—	`conf`	Optimal Precoding for Digital Subscriber Lines. ICC Fernando Pérez-Cruz, Miguel R. D. Rodrigues, Sergio Verdú
2007	J	`jnl`	Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines. IEEE Trans. Syst. Man Cybern. Part C Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, N. Víctor Jiménez
2006	—	`conf`	Gaussian Processes for Digital Communications. ICASSP (5) Fernando Pérez-Cruz, Juan José Murillo-Fuentes
2006	—	`conf`	Gaussian Processes for regression in channel equalization. EUSIPCO Sebastian Caro, Fernando Pérez-Cruz, Juan José Murillo-Fuentes
2005	J	`jnl`	Convergence of the IRWLS Procedure to the Support Vector Machine Solution. Neural Comput. Fernando Pérez-Cruz, Carlos Bousoño-Calzón, Antonio Artés-Rodríguez
2005	—	`conf`	Gaussian Processes for Multiuser Detection in CDMA receivers. NIPS Juan José Murillo-Fuentes, Sebastian Caro, Fernando Pérez-Cruz
2005	J	`jnl`	Learning a function and its derivative forcing the support vector expansion. IEEE Signal Process. Lett. Marcelino Lázaro, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2005	J	`jnl`	Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives. Neurocomputing Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2004	J	`jnl`	Advantages of Unbiased Support Vector Classifiers for Data Mining Applications. J. VLSI Signal Process. Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
2004	J	`jnl`	Enhancing genetic feature selection through restricted search and Walsh analysis. IEEE Trans. Syst. Man Cybern. Part C Sancho Salcedo-Sanz, Gustavo Camps-Valls, Fernando Pérez-Cruz, José Sepúlveda-Sanchis, Carlos Bousoño-Calzón
2004	J	`jnl`	Feature selection methods involving support vector machines for prediction of insolvency in non-life insurance companies. Intell. Syst. Account. Finance Manag. Sancho Salcedo-Sanz, Mario de Prado-Cumplido, María Jesús Segovia-Vargas, Fernando Pérez-Cruz, Carlos Bousoño-Calzón
2004	J	`jnl`	Kernel methods and their potential use in signal processing. IEEE Signal Process. Mag. Fernando Pérez-Cruz, Olivier Bousquet
2004	—	`conf`	Multidimensional SVM to include the samples of the derivatives in the reconstruction of a function. EUSIPCO Fernando Pérez-Cruz, Marcelino Lázaro, Antonio Artés-Rodríguez
2004	—	`conf`	SVM classifiers for ASR: A discussion about parameterization. EUSIPCO José Miguel García-Cabellos, Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Fernando Pérez-Cruz, Fernando Díaz-de-María
2004	J	`jnl`	SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems. IEEE Trans. Signal Process. Matilde Sánchez Fernández, Mario de Prado-Cumplido, Jerónimo Arenas-García, Fernando Pérez-Cruz
2004	B	`conf`	Speeding up the IRWLS convergence to the SVM solution. IJCNN Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2003	J	`jnl`	Empirical risk minimization for support vector classifiers. IEEE Trans. Neural Networks Fernando Pérez-Cruz, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
2003	J	`jnl`	Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinform. Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf
2003	—	`conf`	Kernel methods and their applications to signal processing. ICASSP (4) Olivier Bousquet, Fernando Pérez-Cruz
2003	—	`conf`	Multi-class support vector machines: a new approach. ICASSP (2) Jerónimo Arenas-García, Fernando Pérez-Cruz
2003	—	`conf`	Some experiments on speaker-independent isolated digit recognition using SVM classifiers. NOLISP Ramón Fernández-Lorenzana, Fernando Pérez-Cruz, José Miguel García-Cabellos, Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Fernando Díaz-de-María
2003	B	`conf`	Supervised-PCA and SVM Classifiers for Object Detection in Infrared Images. AVSS Ricardo Santiago-Mozos, José M. Leiva-Murillo, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2003	—	`conf`	Support vector machine for the simultaneous approximation of a function and its derivative. NNSP Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2002	—	`conf`	Adaptive SVC for nonlinear channel equalization. EUSIPCO Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2002	C	`conf`	Feature Selection via Genetic Optimization. ICANN Sancho Salcedo-Sanz, Mario de Prado-Cumplido, Fernando Pérez-Cruz, Carlos Bousoño-Calzón
2002	—	`conf`	Improving lossy image compression Wavelet transform based algorithms by predicting discarded coefficients. EUSIPCO Roberto Gil-Pita, Manuel Rosa-Zurera, Fernando Pérez-Cruz
2002	C	`conf`	Multi-dimensional Function Approximation and Regression Estimation. ICANN Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
2002	C	`conf`	Puncturing Multi-class Support Vector Machines. ICANN Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2001	Misc	`conf`	A new optimizing procedure for ν-support vector regressor. ICASSP Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2001	J	`jnl`	SVC-based equalizer for burst TDMA transmissions. Signal Process. Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez
2001	J	`jnl`	Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. IEEE Trans. Neural Networks Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
2000	—	`conf`	An IRWLS procedure for SVR. EUSIPCO Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez
2000	—	`conf`	Fast Training of Support Vector Classifiers. NIPS Fernando Pérez-Cruz, Pedro Luis Alarcón-Diana, Ángel Navia-Vázquez, Antonio Artés-Rodríguez
2000	Misc	`conf`	Support vector classifier with hyperbolic tangent penalty function. ICASSP Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez
1998	—	`conf`	Reduced-complexity decision-feedback equalizer for nonlinear channels. EUSIPCO Francisco Javier González-Serrano, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
1993	—	`conf`	Feasibility analysis of channel equalizers using Kharitonov-type results. ICASSP (3) Fernando Pérez-Cruz, Domingo Docampo, Antonio Artés, Chaouki T. Abdallah
1992	Misc	`conf`	A deconvolution-based efficient method for generating the excitation in linear predictive speech coding. ICASSP Domingo Docampo, Victoria Abreu-Sernández, Fernando Pérez-Cruz, Francisco González