1 code implementation • 21 Nov 2023 • Daesoo Lee, Sara Malacarne, Erlend Aune
We present a novel time series anomaly detection method that achieves excellent detection accuracy while offering a superior level of explainability.
Ranked #1 on Time Series Anomaly Detection on UCR Anomaly Archive
no code implementations • 3 Nov 2023 • Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge
Creating accurate and geologically realistic reservoir facies based on limited measurements is crucial for field development and reservoir management, especially in the oil and gas sector.
1 code implementation • 14 Sep 2023 • Daesoo Lee, Erlend Aune, Sara Malacarne
ESS explicitly ensures both sample diversity and fidelity, and consists of three stages: Naive Iterative Decoding, Critical Reverse Sampling, and Critical Resampling.
2 code implementations • 8 Mar 2023 • Daesoo Lee, Sara Malacarne, Erlend Aune
Time series generation (TSG) studies have mainly focused on the use of Generative Adversarial Networks (GANs) combined with recurrent neural network (RNN) variants.
no code implementations • 23 Jul 2022 • Daesoo Lee
Fake news detection has become a major task to solve as there has been an increasing number of fake news on the internet in recent years.
1 code implementation • 6 Apr 2022 • Daesoo Lee, Erlend Aune, Nadège Langet, Jo Eidsvik
This study shows that a combination of a VICReg-style method and TNC is very effective for SSL on non-stationary time series, where a non-stationary seismic signal time series is used as an evaluation dataset.
1 code implementation • 3 Dec 2021 • Daesoo Lee
However, because the ANN requires a large amount of training data to yield robust performance, the ANN-based automatic berthing system is somewhat limited due to the difficulty in obtaining the berthing data.
1 code implementation • 2 Sep 2021 • Daesoo Lee, Erlend Aune
Our method improves on a \textit{covariance} term proposed in VICReg, and in addition we augment the head of the architecture by an iterative normalization layer that accelerates the convergence of the model.