From 8f76aebb3ee883cd991bb7c629c44deb6ff1661f Mon Sep 17 00:00:00 2001 From: ricardoevvargas Date: Thu, 21 Dec 2023 13:54:43 -0300 Subject: [PATCH] Fix 2 citations and add 1 citation --- LIST_OF_CITATIONS.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/LIST_OF_CITATIONS.md b/LIST_OF_CITATIONS.md index d7eec87c..b3867930 100644 --- a/LIST_OF_CITATIONS.md +++ b/LIST_OF_CITATIONS.md @@ -155,9 +155,11 @@ Journal of Computational and Applied Mathematics. 2020. https://doi.org/10.1016/ 1. Y. Li. Predictive Analysis and Critical Event Monitoring in Large Dynamic Networks. University of Massachusetts Lowell. Doctoral thesis. 2023. https://github.com/petrobras/3W/raw/main/docs/doctoral_thesis_yan_li.pdf. -1. A. Das, A. Aiken. Prolego: Time-Series Analysis for Predicting Failures in Complex Systems. IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS. 2023. http://theory.stanford.edu/~aiken/publications/papers/ascos23.pdf. +1. A. Das, A. Aiken. Prolego: Time-Series Analysis for Predicting Failures in Complex Systems. IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS. 2023. https://doi.org/10.1109/ACSOS58161.2023.00025. -1. Y. Qu, B. Zhou, A. Waaler, D. Cameron. Real-Time Event Detection with Random Forests and Temporal Convolutional Networks for More Sustainable Petroleum Industry. 2024. Lecture Notes in Computer Science. +1. Y. Qu, B. Zhou, A. Waaler, D. Cameron. Real-Time Event Detection with Random Forests and Temporal Convolutional Networks for More Sustainable Petroleum Industry. 2024. Lecture Notes in Computer Science. http://dx.doi.org/10.1007/978-981-99-7025-4_41. + +1. A.P.F. Machado, C.J. Munaro, P.M. Ciarelli, R.E.V. Vargas. Time series clustering to improve one-class classifier performance. Expert Systems with Applications. 2024. https://doi.org/10.1016/j.eswa.2023.122895. Preprint articles