Jesús Cid-Sueiro

According to our database1, Jesús Cid-Sueiro authored at least 60 papers between 1991 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Recycling weak labels for multiclass classification.
Neurocomputing, 2020

Optimized Update/Prediction Assignment for Lifting Transforms on Graphs.
IEEE Trans. Signal Process., 2018

Directional Transforms for Video Coding Based on Lifting on Graphs.
IEEE Trans. Circuits Syst. Video Techn., 2018

Proper Losses for Learning with Example-Dependent Costs.
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

The BGP Visibility Toolkit: Detecting Anomalous Internet Routing Behavior.
IEEE/ACM Trans. Netw., 2016

An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions.
IEEE J. Sel. Areas Commun., 2015

Asymptotic analysis of cooperative censoring policies in sensor networks.
Ad Hoc Networks, 2015

Censoring diffusion for harvesting WSNs.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Selective forwarding for energy-efficient target tracking in sensor networks.
Signal Process., 2014

Consistency of Losses for Learning from Weak Labels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Separating wheat from chaff: Winnowing unintended prefixes using machine learning.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Battery-Aware Selective Transmitters in Energy-Harvesting Sensor Networks: Optimal Solution and Stochastic Dual Approximation.
Proceedings of the ISWCS 2013, 2013

Filter optimization and complexity reduction for video coding using graph-based transforms.
Proceedings of the IEEE International Conference on Image Processing, 2013

Cost-Sensitive Sequences of Bregman Divergences.
IEEE Trans. Neural Networks Learn. Syst., 2012

Proper losses for learning from partial labels.
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

Decentralized detection with energy-aware greedy selective sensors.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Optimal Selective Forwarding for Energy Saving in Wireless Sensor Networks.
IEEE Trans. Wireless Communications, 2011

Optimal Double Route Search in a Telecommunication Network: A Telecontrol Network Application.
IEEE Trans. Reliab., 2011

Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift.
Neurocomputing, 2011

Cooperative data censoring for energy-efficient communications in Sensor Networks.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Modeling Link Events in High Reliability Networks With Support Vector Machines.
IEEE Trans. Reliab., 2010

Testing Selective Transmission with Low Power Listening.
Proceedings of the Real-World Wireless Sensor Networks - 4th International Workshop, 2010

Optimal Selective Transmission under Energy Constraints in Sensor Networks.
IEEE Trans. Mob. Comput., 2009

Cost-sensitive learning based on Bregman divergences.
Mach. Learn., 2009

Improving Classification under Changes in Class and Within-Class Distributions.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Critical Telecommunication Services Modeling in a Transmission System Power Operator.
Proceedings of the IEEE 14th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2009

Training Classifiers for Tree-structured Categories with Partially Labeled Data.
J. VLSI Signal Process., 2007

Minimax Regret Classifier for Imprecise Class Distributions.
J. Mach. Learn. Res., 2007

Energy-aware Geographic Forwarding of Prioritized Messages in Wireless Sensor Networks.
Proceedings of the IEEE 4th International Conference on Mobile Adhoc and Sensor Systems, 2007

A Rate Control Algorithm for Low-Delay H.264 Video Coding with Stored-B Pictures.
Proceedings of the IEEE International Conference on Acoustics, 2007

A universal learning rule that minimizes well-formed cost functions.
IEEE Trans. Neural Networks, 2005

A model selection algorithm for a posteriori probability estimation with neural networks.
IEEE Trans. Neural Networks, 2005

Minimax classifiers based on neural networks.
Pattern Recognit., 2005

Loss functions to combine learning and decision in multiclass problems.
Neurocomputing, 2005

A fixed-point algorithm to minimax learning with neural networks.
IEEE Trans. Syst. Man Cybern. Part C, 2004

Local estimation of posterior class probabilities to minimize classification errors.
IEEE Trans. Neural Networks, 2004

Robust joint channel and noise estimation in Bayesian blind equalizers.
Signal Process., 2004

A neuro-evolutionary framework for Bayesian blind equalization in digital communications.
Signal Process., 2003

InterMediActor: an Environment for Instructional Content Design Based on Competences.
J. Educ. Technol. Soc., 2003

Bayesian and RBF structures for wireless communications detection.
Proceedings of the NNSP 2003, 2003

Loss functions to combine learning and decision in multiclass problems.
Proceedings of the NNSP 2003, 2003

Text classification based on posterior probability estimation and neural networks.
Proceedings of the Pattern Recognition in Information Systems, 2002

Minimax strategies for training classifiers under unknown priors.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Neural Minimax Classifiers.
Proceedings of the Artificial Neural Networks, 2002

I-Gaia: an information processing layer for the DIET platform.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

On the structure of strict sense Bayesian cost functions and its applications.
IEEE Trans. Neural Networks, 2001

Saturated Perceptrons for Maximum Margin and Minimum Misclassification Error.
Neural Process. Lett., 2001

Soft-decision equalizers for in-service error rate monitoring.
Signal Process., 2000

An Entropy Minimization Principle for Semi-Supervised Terrain Classification.
Proceedings of the 2000 International Conference on Image Processing, 2000

Cost functions to estimate a posteriori probabilities in multiclass problems.
IEEE Trans. Neural Networks, 1999

Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Neural networks to estimate ML multi-class constrained conditional probability density functions.
Proceedings of the International Joint Conference Neural Networks, 1999

Non-linear equalizers that estimate error rates during reception.
Proceedings of the 9th European Signal Processing Conference, 1998

Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning.
Proceedings of the 8th European Signal Processing Conference, 1996

Recurrent radial basis function networks for optimal symbol-by-symbol equalization.
Signal Process., 1994

Optimal Blind Equalization of Gaussian Channels.
Proceedings of the New Trends in Neural Computation, 1993

Optimal variable step LMS look-up-table plus transversal filter nonlinear echo cancellers.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

Self-Organizing Feature Maps and Their Application to Digital Coding of Information.
Proceedings of the Artificial Neural Networks, 1991