3 papers
cs.LG2021
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms
Jacinto Carrasco, Irina Markova, David López +6
The research in anomaly detection lacks a unified definition of what represents an anomalous instance. Discrepancies in the nature itself of an anomaly lead to multiple paradigms o…
cs.AI2018
Label Noise Filtering Techniques to Improve Monotonic Classification
José-Ramón Cano, Julián Luengo, Salvador García
The monotonic ordinal classification has increased the interest of researchers and practitioners within machine learning community in the last years. In real applications, the prob…
cs.CV2018
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation
Anabel Gómez-Ríos, Siham Tabik, Julián Luengo +3
The recognition of coral species based on underwater texture images pose a significant difficulty for machine learning algorithms, due to the three following challenges embedded in…