A Systematic Study of Online Class Imbalance Learning with Concept Drift

20 March 2017

Shuo Wang

Papers citing "A Systematic Study of Online Class Imbalance Learning with Concept Drift"

21 / 21 papers shown

Title
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks Kleanthis Malialis S. Filippou C. Panayiotou Marios M. Polycarpou AI4TS 63 0 0 06 Apr 2025
Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification P. Zyblewski 47 1 0 24 Apr 2024
Imbalanced Data Stream Classification using Dynamic Ensemble Selection P. S H. S V. R 10 0 0 17 Sep 2023
Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation Jin Li Kleanthis Malialis Marios M. Polycarpou 50 11 0 15 May 2023
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches Alexandros Palaios Christian L. Vielhaus D. Külzer Cara Watermann Rodrigo Hernangómez ... Martin Kasparick G. Fettweis F. Fitzek Hans D. Schotten Sławomir Stańczak 59 13 0 23 Feb 2023
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 55 2 0 09 Nov 2022
Data augmentation on-the-fly and active learning in data stream classification Kleanthis Malialis Dimitris Papatheodoulou S. Filippou C. Panayiotou Marios M. Polycarpou 50 8 0 13 Oct 2022
Nonstationary data stream classification with online active learning and siamese neural networks Kleanthis Malialis C. Panayiotou Marios M. Polycarpou 57 31 0 03 Oct 2022
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework Gabriel J. Aguiar Bartosz Krawczyk Alberto Cano AI4TS 101 99 0 07 Apr 2022
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors Firas Bayram Bestoun S. Ahmed A. Kassler 62 225 0 21 Mar 2022
Concept Drift Detection from Multi-Class Imbalanced Data Streams Lukasz Korycki Bartosz Krawczyk 45 41 0 20 Apr 2021
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Gustavo H. F. M. Oliveira Leandro L. Minku Adriano Oliveira 72 35 0 11 Feb 2021
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice V. Kulkarni M. Gawali A. Kharat VLM 113 21 0 03 Feb 2021
Data-efficient Online Classification with Siamese Networks and Active Learning Kleanthis Malialis C. Panayiotou Marios M. Polycarpou 35 14 0 04 Oct 2020
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data Vinicius M. A. Souza Denis Moreira dos Reis André Gustavo Maletzke Gustavo E. A. P. A. Batista OOD AI4TS 72 132 0 30 Apr 2020
Concept Drift Detection via Equal Intensity k-means Space Partitioning Anjin Liu Jie Lu Guangquan Zhang 85 66 0 24 Apr 2020
Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation Anjin Liu Jie Lu Guangquan Zhang 43 49 0 13 Apr 2020
Spiking Neural Networks and Online Learning: An Overview and Perspectives J. Lobo Javier Del Ser Albert Bifet N. Kasabov 83 227 0 23 Jul 2019
Online Anomaly Detection with Sparse Gaussian Processes Jingjing Fei Shiliang Sun AI4TS 42 21 0 14 May 2019
Queue-based Resampling for Online Class Imbalance Learning Kleanthis Malialis C. Panayiotou Marios M. Polycarpou OnRL 43 12 0 27 Sep 2018
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing Shujian Yu Zubin Abraham Heng Wang Mohak Shah Yantao Wei José C. Príncipe 69 53 0 25 Jul 2017