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ORCID3rd LIDTA 2021, Bilbao, Spain
- Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021. Proceedings of Machine Learning Research 154, PMLR 2021
Preface
- Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
3rd Workshop on Learning with Imbalanced Domains: Preface. 1-6
Papers
- Mirko Nardi
, Lorenzo Valerio, Andrea Passarella:
Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial. 7-20 - Farnaz Sadeghi, Herna L. Viktor:
Online-MC-Queue: Learning from Imbalanced Multi-Class Streams. 21-34 - Arjun Pakrashi, Payel Sadhukhan, Brian Mac Namee:
ML-NCA: Multi-label Neighbourhood Component Analysis. 35-48 - Barbara Draghi, Zhenchen Wang, Puja Myles, Allan Tucker:
BayesBoost: Identifying and Handling Bias Using Synthetic Data Generators. 49-62 - Myrto Limnios, Nathan Noiry, Stéphan Clémençon:
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics. 63-75 - Ehsan Nazari, Paula Branco:
On Oversampling via Generative Adversarial Networks under Different Data Difficulty Factors. 76-89 - Maria Naklicka, Jerzy Stefanowski:
Two Ways of Extending BRACID Rule-based Classifiers for Multi-class Imbalanced Data. 90-103 - Arnaud Bougaham, Adrien Bibal, Isabelle Linden, Benoît Frénay:
GanoDIP - GAN Anomaly Detection through Intermediate Patches: a PCBA Manufacturing Case. 104-117
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