Dynamic Quantification of Process Parameters in Viscose Production with Evolving Fuzzy Systems. - Carlos Cernuda; Edwin Lughofer; Lisbeth Suppan; Thomas Röder; Roman Schmuck; Peter Hintenaus; Wolfgang Märzinger; Jürgen Kasberger (IPMU (1), 2012)

Ensembled Self-Adaptive Fuzzy Calibration Models for On-line Cloud Point Prediction. - Carlos Cernuda; Edwin Lughofer; Peter Hintenaus; Wolfgang Märzinger; Thomas Reischer; Marcin Pawlicek; Jürgen Kasberger (EUSFLAT Conf., 2013)

Generalized Flexible Fuzzy Inference Systems. - Edwin Lughofer; Carlos Cernuda; Mahardhika Pratama (ICMLA (2), 2013)

Generalized smart evolving fuzzy systems. - Edwin Lughofer; Carlos Cernuda; Stefan Kindermann 001; Mahardhika Pratama (Evol. Syst., 2015)

Critical Analysis of the Suitability of Surrogate Models for Finite Element Method Application in Catalog-Based Suspension Bushing Design. - Carlos Cernuda; Iñigo Llavori; Alexandru-Ciprian Zavoianu; Aitor Aguirre; Alaitz Zabala; Jon Plaza (ETFA, 2020)

Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization. - Daniel Reguera-Bakhache; Iñaki Garitano; Roberto Uribeetxeberria; Carlos Cernuda; Urko Zurutuza (ETFA, 2020)

Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery. - Oscar Serradilla; Ekhi Zugasti; Carlos Cernuda; Andoitz Aranburu; Julian Ramirez de Okariz; Urko Zurutuza (FUZZ-IEEE, 2020)

An Adaptive Industrial Human-Machine Interface to Optimise Operators Working Performance. - Daniel Reguera-Bakhache; Iñaki Garitano; Carlos Cernuda; Roberto Uribeetxeberria; Urko Zurutuza; Ganix Lasa (AIM, 2021)

An Industrial HMI Temporal Adaptation based on Operator-Machine Interaction Sequence Similarity. - Daniel Reguera-Bakhache; Iñaki Garitano; Roberto Uribeetxeberria; Carlos Cernuda (ICIT, 2021)

Towards Robust Defect Detection in Casting Using Contrastive Learning. - Eneko Intxausti; Ekhi Zugasti; Carlos Cernuda; Ane Miren Leibar; Estibaliz Elizondo (CIARP, 2023)