Publications

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

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Lucas Pérez, Nahuel Costa, PhD, Luciano Sánchez (2024). Rapidae: A Python library for creation, experimentation, and benchmarking of Autoencoder models. In IEEE WCCI.

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

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Nahuel Costa, PhD, David Anseán, Matthieu Dubarry, Luciano Sánchez (2023). ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection. In Journal of Power Sources.

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Luciano Sánchez, Nahuel Costa, PhD, Jose Otero, Inés Couso (2023). Physics-informed learning under epistemic uncertainty with an application to system health modeling. In International Journal of Approximate Reasoning.

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Luciano Sánchez, Nahuel Costa, PhD, Inés Couso (2023). Simplified models of remaining useful life based on stochastic orderings. In Reliability Engineering & System Safety.

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

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Matthieu Dubarry, Fahim Yasir, Nahuel Costa, PhD, Dax Matthews (2023). Data-Driven Diagnosis of PV-Connected Batteries: Analysis of Two Years of Observed Irradiance.

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Matthieu Dubarry, Nahuel Costa, PhD, Dax Matthews (2023). Data-driven direct diagnosis of Li-ion batteries connected to photovoltaics.

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

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Nahuel Costa, PhD, Luciano Sánchez, David Anseán, Matthieu Dubarry (2022). Li-ion battery degradation modes diagnosis via Convolutional Neural Networks. In Journal of Energy Storage.

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

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Nahuel Costa, PhD, Luciano Sánchez (2022). Variational encoding approach for interpretable assessment of remaining useful life estimation. In Reliability Engineering & System Safety.

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

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Nahuel Costa, PhD, Luciano Sánchez (2021). Remaining useful life estimation using a recurrent variational autoencoder. In HAIS.

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

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Nahuel Costa, PhD, Jesús Fernández, Inés Couso, Luciano Sánchez (2020). Graphical analysis of the progression of atrial arrhythmia using recurrent neural networks. In International Journal of Computational Intelligence Systems.

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Nahuel Costa, PhD, Jesús Fernández, Inés Couso, Luciano Sánchez (2020). Graphical analysis of the progression of atrial arrhythmia through an ensemble of Generative Adversarial Network Discriminators. In EUSFLAT.

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