LIDTA@ECML/PKDD

Keyphrases

Publications

2021

Barbara Draghi, Zhenchen Wang, Puja Myles, Allan Tucker
BayesBoost: Identifying and Handling Bias Using Synthetic Data Generators. LIDTA@ECML/PKDD (2021)
Arnaud Bougaham, Adrien Bibal, Isabelle Linden, Benoît Frénay
GanoDIP - GAN Anomaly Detection through Intermediate Patches: a PCBA Manufacturing Case. LIDTA@ECML/PKDD (2021)
Maria Naklicka, Jerzy Stefanowski
Two Ways of Extending BRACID Rule-based Classifiers for Multi-class Imbalanced Data. LIDTA@ECML/PKDD (2021)
Arjun Pakrashi, Payel Sadhukhan, Brian Mac Namee
ML-NCA: Multi-label Neighbourhood Component Analysis. LIDTA@ECML/PKDD (2021)
Farnaz Sadeghi, Herna L. Viktor
Online-MC-Queue: Learning from Imbalanced Multi-Class Streams. LIDTA@ECML/PKDD (2021)
Ehsan Nazari, Paula Branco
On Oversampling via Generative Adversarial Networks under Different Data Difficulty Factors. LIDTA@ECML/PKDD (2021)
Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD (2021)
Myrto Limnios, Nathan Noiry, Stéphan Clémençon
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics. LIDTA@ECML/PKDD (2021)
Mirko Nardi, Lorenzo Valerio, Andrea Passarella
Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial. LIDTA@ECML/PKDD (2021)

volume 154, 2021

Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021 LIDTA@ECML/PKDD 154 (2021)

2018

volume 94, 2018

Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@ECML/PKDD 2018, Dublin, Ireland, September 10, 2018 LIDTA@ECML/PKDD 94 (2018)