Self-Organizing Feature Maps and Their Application to Digital Coding of Information. - Angel Cabrera Izquierdo; Jesús Cid-Sueiro; Juan Antonio Hernández-Méndez (IWANN, 1991)

Optimal variable step LMS look-up-table plus transversal filter nonlinear echo cancellers. - Luis Weruaga-Prieto; Jesús Cid-Sueiro; Aníbal R. Figueiras-Vidal (ICASSP, 1992)

Optimal Blind Equalization of Gaussian Channels. - Jesús Cid-Sueiro; Luis Weruaga-Prieto; Aníbal R. Figueiras-Vidal (IWANN, 1993)

Recurrent radial basis function networks for optimal symbol-by-symbol equalization. - Jesús Cid-Sueiro; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (Signal Process., 1994)

Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning. - Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez; Jesús Cid-Sueiro; Manel Martínez-Ramón (EUSIPCO, 1996)

Non-linear equalizers that estimate error rates during reception. - Jesús Cid-Sueiro; Aníbal R. Figueiras-Vidal (EUSIPCO, 1998)

Neural networks to estimate ML multi-class constrained conditional probability density functions. - Juan Ignacio Arribas; Jesús Cid-Sueiro; Tülay Adali; Aníbal R. Figueiras-Vidal (IJCNN, 1999)

Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks. - Juan Ignacio Arribas; Jesús Cid-Sueiro; Tülay Adali; Hongmei Ni; Bo Wang 006; Aníbal R. Figueiras-Vidal (IJCNN, 1999)

Cost functions to estimate a posteriori probabilities in multiclass problems. - Jesús Cid-Sueiro; Juan Ignacio Arribas; Sebastian Urban-Munoz; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 1999)

An Entropy Minimization Principle for Semi-Supervised Terrain Classification. - Alicia Guerrero-Curieses; Jesús Cid-Sueiro (ICIP, 2000)

Soft-decision equalizers for in-service error rate monitoring. - Jesús Cid-Sueiro; Luis M. San-José-Revuelta; Aníbal R. Figueiras-Vidal (Signal Process., 2000)

Saturated Perceptrons for Maximum Margin and Minimum Misclassification Error. - Jesús Cid-Sueiro; José-Luis Sancho-Gómez (Neural Process. Lett., 2001)

On the structure of strict sense Bayesian cost functions and its applications. - Jesús Cid-Sueiro; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2001)

I-Gaia: an information processing layer for the DIET platform. - Ascensión Gallardo-Antolín; Ángel Navia-Vázquez; Harold Y. Molina-Bulla; A. B. Rodríguez-González; Francisco J. Valverde-Albacete; Jesús Cid-Sueiro; Aníbal R. Figueiras-Vidal; T. Koutris; C. Xirouhaki; Manolis Koubarakis (AAMAS, 2002)

Neural Minimax Classifiers. - Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (ICANN, 2002)

Minimax strategies for training classifiers under unknown priors. - Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (NNSP, 2002)

Text classification based on posterior probability estimation and neural networks. - Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (PRIS, 2002)

Loss functions to combine learning and decision in multiclass problems. - Alicia Guerrero-Curieses; Jesús Cid-Sueiro (NNSP, 2003)

Bayesian and RBF structures for wireless communications detection. - Luis M. San-José-Revuelta; Jesús Cid-Sueiro (NNSP, 2003)

InterMediActor: an Environment for Instructional Content Design Based on Competences. - Francisco J. Valverde-Albacete; R. Pedraza-Jiménez; Jesús Cid-Sueiro; Paloma Díaz-Pérez; Ángel Navia-Vázquez; Harold Y. Molina-Bulla (SAC, 2003)

A neuro-evolutionary framework for Bayesian blind equalization in digital communications. - Luis M. San-José-Revuelta; Jesús Cid-Sueiro (Signal Process., 2003)

Robust joint channel and noise estimation in Bayesian blind equalizers. - Luis M. San-José-Revuelta; Jesús Cid-Sueiro (Signal Process., 2004)

Local estimation of posterior class probabilities to minimize classification errors. - Alicia Guerrero-Curieses; Jesús Cid-Sueiro; Rocío Alaíz-Rodríguez; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2004)

A fixed-point algorithm to minimax learning with neural networks. - Alicia Guerrero-Curieses; Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (IEEE Trans. Syst. Man Cybern. Part C, 2004)

Loss functions to combine learning and decision in multiclass problems. - Alicia Guerrero-Curieses; Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (Neurocomputing, 2005)

Minimax classifiers based on neural networks. - Rocío Alaíz-Rodríguez; Alicia Guerrero-Curieses; Jesús Cid-Sueiro (Pattern Recognit., 2005)

A model selection algorithm for a posteriori probability estimation with neural networks. - Juan Ignacio Arribas; Jesús Cid-Sueiro (IEEE Trans. Neural Networks, 2005)

A universal learning rule that minimizes well-formed cost functions. - Inmaculada Mora-Jiménez; Jesús Cid-Sueiro (IEEE Trans. Neural Networks, 2005)

A Bayesian Decision Model for Intelligent Routing in Sensor Networks. - Rocio Arroyo-Valles; Antonio G. Marques; Juan José Vinagre-Díaz; Jesús Cid-Sueiro (ISWCS, 2006)

A Rate Control Algorithm for Low-Delay H.264 Video Coding with Stored-B Pictures. - Sergio Sanz Rodríguez; Manuel de-Frutos-López; Iván González-Díaz 001; Jesús Cid-Sueiro (ICASSP (1), 2007)

Energy-aware Geographic Forwarding of Prioritized Messages in Wireless Sensor Networks. - Rocio Arroyo-Valles; Antonio G. Marqués; Jesús Cid-Sueiro (MASS, 2007)

Minimax Regret Classifier for Imprecise Class Distributions. - Rocío Alaíz-Rodríguez; Alicia Guerrero-Curieses; Jesús Cid-Sueiro (J. Mach. Learn. Res., 2007)

Training Classifiers for Tree-structured Categories with Partially Labeled Data. - Manuel Ortega-Moral; D. Gutiérrez-González; M. L. De-Pablo; Jesús Cid-Sueiro (J. VLSI Signal Process., 2007)

Critical Telecommunication Services Modeling in a Transmission System Power Operator. - Juan Ramón Feijoo; Jesús Cid-Sueiro; Juan A. García-López; José Luis Rojo-Álvarez (CAMAD, 2009)

Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis. - Raúl Santos-Rodríguez; Dario García-García; Jesús Cid-Sueiro (ICMLA, 2009)

Improving Classification under Changes in Class and Within-Class Distributions. - Rocío Alaíz-Rodríguez; Alicia Guerrero-Curieses; Jesús Cid-Sueiro (IWANN (1), 2009)

Cost-Sensitive Learning Based on Bregman Divergences. - Raúl Santos-Rodríguez; Alicia Guerrero-Curieses; Rocío Alaíz-Rodríguez; Jesús Cid-Sueiro (ECML/PKDD (1), 2009)

Optimal Selective Transmission under Energy Constraints in Sensor Networks. - Rocio Arroyo-Valles; Antonio G. Marqués; Jesús Cid-Sueiro (IEEE Trans. Mob. Comput., 2009)

Testing Selective Transmission with Low Power Listening. - Morten Tranberg Hansen; Rocio Arroyo-Valles; Jesús Cid-Sueiro (REALWSN, 2010)

Modeling Link Events in High Reliability Networks With Support Vector Machines. - Juan Ramón Feijoo; José Luis Rojo-Álvarez; Jesús Cid-Sueiro; Patricia Conde-Pardo; José Luis Mata-Vigil-Escalera (IEEE Trans. Reliab., 2010)

Cooperative data censoring for energy-efficient communications in Sensor Networks. - Jesus Fernandez-Bes; Rocio Arroyo-Valles; Jesús Cid-Sueiro (MLSP, 2011)

Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift. - Rocío Alaíz-Rodríguez; Alicia Guerrero-Curieses; Jesús Cid-Sueiro (Neurocomputing, 2011)

Optimal Double Route Search in a Telecommunication Network: A Telecontrol Network Application. - Juan Ramón Feijoo; Jesús Cid-Sueiro; Juan A. García-López; Patricia Conde-Pardo; José Luis Rojo-Álvarez (IEEE Trans. Reliab., 2011)

Optimal Selective Forwarding for Energy Saving in Wireless Sensor Networks. - Rocio Arroyo-Valles; Antonio G. Marqués; Jesús Cid-Sueiro (IEEE Trans. Wirel. Commun., 2011)

Decentralized detection with energy-aware greedy selective sensors. - Jesus Fernandez-Bes; Jesús Cid-Sueiro (CIP, 2012)

Proper losses for learning from partial labels. - Jesús Cid-Sueiro (NIPS, 2012)

Cost-Sensitive Sequences of Bregman Divergences. - Raúl Santos-Rodríguez; Jesús Cid-Sueiro (IEEE Trans. Neural Networks Learn. Syst., 2012)

Filter optimization and complexity reduction for video coding using graph-based transforms. - Eduardo Martínez-Enríquez; Fernando Díaz-de-María; Jesús Cid-Sueiro; Antonio Ortega (ICIP, 2013)

Battery-Aware Selective Transmitters in Energy-Harvesting Sensor Networks: Optimal Solution and Stochastic Dual Approximation. - Jesús Fernandez-Bes; Antonio G. Marqués; Jesús Cid-Sueiro (ISWCS, 2013)

Separating wheat from chaff: Winnowing unintended prefixes using machine learning. - Andra Lutu; Marcelo Bagnulo; Jesús Cid-Sueiro; Olaf Maennel (INFOCOM, 2014)

Consistency of Losses for Learning from Weak Labels. - Jesús Cid-Sueiro; Dario García-García; Raúl Santos-Rodríguez (ECML/PKDD (1), 2014)

Selective forwarding for energy-efficient target tracking in sensor networks. - Sara Pino-Povedano; Rocio Arroyo-Valles; Jesús Cid-Sueiro (Signal Process., 2014)

Censoring diffusion for harvesting WSNs. - Jesus Fernandez-Bes; Rocio Arroyo-Valles; Jerónimo Arenas-García; Jesús Cid-Sueiro (CAMSAP, 2015)

Asymptotic analysis of cooperative censoring policies in sensor networks. - Jesus Fernandez-Bes; Rocio Arroyo-Valles; Jesús Cid-Sueiro (Ad Hoc Networks, 2015)

An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions. - Jesus Fernandez-Bes; Jesús Cid-Sueiro; Antonio G. Marqués (IEEE J. Sel. Areas Commun., 2015)

The BGP Visibility Toolkit: Detecting Anomalous Internet Routing Behavior. - Andra Lutu; Marcelo Bagnulo; Cristel Pelsser; Olaf Maennel; Jesús Cid-Sueiro (IEEE/ACM Trans. Netw., 2016)

Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios. - Miquel Perelló-Nieto; Raúl Santos-Rodríguez; Jesús Cid-Sueiro (IDA, 2017)

Proper Losses for Learning with Example-Dependent Costs. - Alexander Hepburn; Ryan McConville; Raúl Santos-Rodríguez; Jesús Cid-Sueiro; Dario García-García (LIDTA@ECML/PKDD, 2018)

Directional Transforms for Video Coding Based on Lifting on Graphs. - Eduardo Martínez-Enríquez; Jesús Cid-Sueiro; Fernando Díaz-de-María; Antonio Ortega (IEEE Trans. Circuits Syst. Video Technol., 2018)

Optimized Update/Prediction Assignment for Lifting Transforms on Graphs. - Eduardo Martínez-Enríquez; Jesús Cid-Sueiro; Fernando Díaz-de-María; Antonio Ortega (IEEE Trans. Signal Process., 2018)

Recycling weak labels for multiclass classification. - Miquel Perelló-Nieto; Raúl Santos-Rodríguez; Dario García-García; Jesús Cid-Sueiro (Neurocomputing, 2020)

On the Selection of Loss Functions Under Known Weak Label Models. - Daniel Bacaicoa-Barber; Miquel Perelló-Nieto; Raúl Santos-Rodríguez; Jesús Cid-Sueiro (ICANN (2), 2021)

The Weak Supervision Landscape. - Rafael Poyiadzi; Daniel Bacaicoa-Barber; Jesús Cid-Sueiro; Miquel Perelló-Nieto; Peter A. Flach; Raúl Santos-Rodríguez (PerCom Workshops, 2022)

Validation of scientific topic models using graph analysis and corpus metadata. - Manuel A. Vázquez; Jorge Pereira-Delgado; Jesús Cid-Sueiro; Jerónimo Arenas-García (Scientometrics, 2022)

A unified view of forward and backward losses for learning from weak labels. - Daniel Bacaicoa-Barber; Jesús Cid-Sueiro (Mach. Learn., 2025)