Graphical analysis of the progression of atrial arrhythmia through an ensemble of Generative Adversarial Network Discriminators. - Nahuel Costa; Jesús Fernández 003; Inés Couso; Luciano Sánchez (EUSFLAT Conf., 2019)

Graphical Analysis of the Progression of Atrial Arrhythmia Using Recurrent Neural Networks. - Nahuel Costa; Jesús Fernández 003; Inés Couso; Luciano Sánchez (Int. J. Comput. Intell. Syst., 2020)

Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder. - Nahuel Costa; Luciano Sánchez (HAIS, 2021)

Semi-Supervised Recurrent Variational Autoencoder Approach for Visual Diagnosis of Atrial Fibrillation. - Nahuel Costa; Luciano Sánchez; Inés Couso (IEEE Access, 2021)

Informed Weak Supervision for Battery Deterioration Level Labeling. - Luciano Sánchez; Nahuel Costa; David Anseán; Inés Couso (IPMU (2), 2022)

Weakly Supervised Learning of the Motion Resistance of a Locomotive Powered by Liquefied Natural Gas. - Luciano Sánchez; Pablo Luque; Daniel Álvarez-Mántaras; José Otero; Nahuel Costa (SOCO, 2022)

Variational encoding approach for interpretable assessment of remaining useful life estimation. - Nahuel Costa; Luciano Sánchez (Reliab. Eng. Syst. Saf., 2022)

RUL-RVE: Interpretable assessment of Remaining Useful Life. - Nahuel Costa; Luciano Sánchez (Softw. Impacts, 2022)

Enhancing Time Series Anomaly Detection Using Discretization and Word Embeddings. - Lucas Pérez; Nahuel Costa; Luciano Sánchez (SOCO (2), 2023)

Simplified models of remaining useful life based on stochastic orderings. - Luciano Sánchez; Nahuel Costa; Inés Couso (Reliab. Eng. Syst. Saf., 2023)

Physics-informed learning under epistemic uncertainty with an application to system health modeling. - Luciano Sánchez; Nahuel Costa; José Otero; Inés Couso (Int. J. Approx. Reason., 2023)

Learning remaining useful life with incomplete health information: A case study on battery deterioration assessment. - Luciano Sánchez; Nahuel Costa; José Otero; David Anseán; Inés Couso (Array, 2023)

Rapidae: A Python Library for Creation, Experimentation, and Benchmarking of Autoencoder Models. - Nahuel Costa; Lucas Pérez; Luciano Sánchez (FUZZ, 2024)

Recurrent variational autoencoder approach for remaining useful life estimation. - Nahuel Costa; Luciano Sánchez (Log. J. IGPL, 2024)

Data imputation in the frequency domain using Echo State Networks. - Luciano Sánchez; Nahuel Costa; Inés Couso (Eng. Appl. Artif. Intell., 2025)

Integrating imprecise data in generative models using interval-valued Variational Autoencoders. - Luciano Sánchez; Nahuel Costa; Inés Couso; Olivier Strauss (Inf. Fusion, 2025)

Few-shot generative compression approach for system health monitoring. - Nahuel Costa; Luciano Sánchez (Reliab. Eng. Syst. Saf., 2025)

Addressing data scarcity in industrial reliability assessment with Physically Informed Echo State Networks. - Luciano Sánchez; Nahuel Costa; Inés Couso (Reliab. Eng. Syst. Saf., 2025)