Publikationen (19) Publikationen von NAHUEL ALEJANDRO COSTA CORTEZ

2025

  1. Integrating imprecise data in generative models using interval-valued Variational Autoencoders

    Information Fusion, Vol. 114

2024

  1. ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection

    Journal of Power Sources, Vol. 592

  2. Rapidae: A Python Library for Creation, Experimentation, and Benchmarking of Autoencoder Models

    IEEE International Conference on Fuzzy Systems

  3. Recurrent variational autoencoder approach for remaining useful life estimation

    Logic Journal of the IGPL, Vol. 32, Núm. 4, pp. 605-623

2023

  1. Data-Driven Diagnosis of PV-Connected Batteries: Analysis of Two Years of Observed Irradiance

    Batteries, Vol. 9, Núm. 8

  2. Data-driven direct diagnosis of Li-ion batteries connected to photovoltaics

    Nature Communications, Vol. 14, Núm. 1

  3. Enhancing Time Series Anomaly Detection Using Discretization and Word Embeddings

    Lecture Notes in Networks and Systems

  4. Learning remaining useful life with incomplete health information: A case study on battery deterioration assessment

    Array, Vol. 20

  5. Physics-informed learning under epistemic uncertainty with an application to system health modeling

    International Journal of Approximate Reasoning, Vol. 161

  6. Simplified models of remaining useful life based on stochastic orderings

    Reliability Engineering and System Safety, Vol. 237

  7. Weakly Supervised Learning of the Motion Resistance of a Locomotive Powered by Liquefied Natural Gas

    Lecture Notes in Networks and Systems

2022

  1. Informed Weak Supervision for Battery Deterioration Level Labeling

    Communications in Computer and Information Science

  2. Li-ion battery degradation modes diagnosis via Convolutional Neural Networks

    Journal of Energy Storage, Vol. 55

  3. RUL-RVE: Interpretable assessment of Remaining Useful Life[Formula presented]

    Software Impacts, Vol. 13

  4. Variational encoding approach for interpretable assessment of remaining useful life estimation

    Reliability Engineering and System Safety, Vol. 222

2021

  1. Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Semi-Supervised Recurrent Variational Autoencoder Approach for Visual Diagnosis of Atrial Fibrillation

    IEEE Access, Vol. 9, pp. 40227-40239

2020

  1. Graphical analysis of the progression of atrial arrhythmia through an ensemble of Generative Adversarial Network Discriminators

    Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019

  2. Graphical analysis of the progression of atrial arrhythmia using recurrent neural networks

    International Journal of Computational Intelligence Systems, Vol. 13, Núm. 1, pp. 1567-1577