Information-theory approach to model class assessment for tissue-engineered cultures consistence evolution. - Juan Chiachío; Manuel Chiachío; Guillermo Rus-Carlborg; Nicolas Bochud; Laura Peralta; Juan Manuel Melchor Rodriguez (IWBBIO, 2014)

Model-based probability of detection of pathologies in soft tissue. - Juan Manuel Melchor Rodriguez; Guillermo Rus; Nicolas Bochud; Laura Peralta; Juan Chiachío; Manuel Chiachío; Antonio Gómez (IWBBIO, 2014)

FDTD simulations for ultrasound propagation in a 2-D cervical tissue model. - Laura Peralta; Guillermo Rus; Nicolas Bochud; Juan Manuel Melchor Rodriguez; Juan Chiachío; Manuel Chiachío (IWBBIO, 2014)

Ultrasonic monitoring of artificial tissue mechanical properties in biorreactor. - Guillermo Rus; Nicolas Bochud; Juan Manuel Melchor Rodriguez; Laura Peralta; Juan Chiachío; Manuel Chiachío; Antonio Gómez (IWBBIO, 2014)

Approximate Bayesian Computation by Subset Simulation. - Manuel Chiachío; James L. Beck; Juan Chiachío; Guillermo Rus (SIAM J. Sci. Comput., 2014)

Condition-based prediction of time-dependent reliability in composites. - Juan Chiachío; Manuel Chiachío; Shankar Sankararaman; Abhinav Saxena; Kai Goebel (Reliab. Eng. Syst. Saf., 2015)

A new algorithm for prognostics using Subset Simulation. - Manuel Chiachío; Juan Chiachío; Shankar Sankararaman; Kai Goebel; John D. Andrews (Reliab. Eng. Syst. Saf., 2017)

A new paradigm for uncertain knowledge representation by Plausible Petri nets. - Manuel Chiachío; Juan Chiachío; Darren Prescott; John D. Andrews (Inf. Sci., 2018)

Plausible Petri nets as self-adaptive expert systems: A tool for infrastructure asset monitoring. - Manuel Chiachío; Juan Chiachío; Darren Prescott; John D. Andrews (Comput. Aided Civ. Infrastructure Eng., 2019)

A knowledge-based prognostics framework for railway track geometry degradation. - Juan Chiachío; Manuel Chiachío; Darren Prescott; John D. Andrews (Reliab. Eng. Syst. Saf., 2019)

A Markov chains prognostics framework for complex degradation processes. - Juan Chiachío; María L. Jalón; Manuel Chiachío; Athanasios Kolios (Reliab. Eng. Syst. Saf., 2020)

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. - Iván Palomares; Eugenio Martínez-Cámara; Rosana Montes; Pablo García-Moral; Manuel Chiachío; Juan Chiachío; Sergio Alonso; Francisco J. Melero 001; Daniel Molina; Bárbara Fernández; Cristina Moral; Rosario Marchena; et al. (Appl. Intell., 2021)

OptiSens - Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring. - Sergio Cantero-Chinchilla; James L. Beck; Juan Chiachío; Manuel Chiachío; Dimitrios Chronopoulos (SoftwareX, 2021)

Adaptive approximate Bayesian computation by subset simulation for structural model calibration. - José Barros; Manuel Chiachío; Juan Chiachío; Frank Cabanilla (Comput. Aided Civ. Infrastructure Eng., 2022)

Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials. - Juan Fernández Salas; Manuel Chiachío; Juan Chiachío; Rafael Muñoz 002; Francisco Herrera (Eng. Appl. Artif. Intell., 2022)

Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation. - Manuel Chiachío; Ali Saleh; Susannah Naybour; Juan Chiachío; John D. Andrews (Reliab. Eng. Syst. Saf., 2022)

Modelling and Analysis of the Scheduled Maintenance for the Test Cell of the IFMIF DONES Facility. - Mohammad Hisham Ismail; Manuel Chiachío; Juan Chiachío; Fernando Arranz (ICSRS, 2023)

Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data. - Morteza Moradi 002; Agnes Broer; Juan Chiachío; Rinze Benedictus; Theodoros H. Loutas; Dimitrios Zarouchas (Eng. Appl. Artif. Intell., 2023)

Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns. - Juan Fernández Salas; Juan Chiachío; Manuel Chiachío; José Barros; Matteo Corbetta (Eng. Appl. Artif. Intell., 2023)

A computer-based simulation methodology of the predetermined maintenance scheme of an irradiation facility. - Mohammad Hisham Ismail; Manuel Chiachío; Juan Chiachío; Fernando Arranz; Ali Saleh (Comput. Ind. Eng., 2024)

Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries. - Juan Fernández Salas; Matteo Corbetta; Chetan S. Kulkarni; Juan Chiachío; Manuel Chiachío (Comput. Ind., 2024)

Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics. - Juan Fernández Salas; Juan Chiachío; José Barros; Manuel Chiachío; Chetan S. Kulkarni (Reliab. Eng. Syst. Saf., 2024)

Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle's Acceleration Measurements. - Masoud Haghbin; Juan Chiachío; Sergio Muñoz; Jose Luis Escalona Franco; Antonio J. Guillén; Adolfo Crespo Marquez; Sergio Cantero-Chinchilla (Sensors, 2024)

OSP-SAP: A MATLAB graphical user interface for optimal sensor placement using SAP2000. - Antonio S. López-Cuervo; Enrique García-Macías; Rafael Castro-Triguero; Juan Chiachío (SoftwareX, 2025)