Ben Halstead

According to our database, Ben Halstead authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams.

Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet

ACM Trans. Knowl. Discov. Data, 2023

FALL: A Modular Adaptive Learning Platform for Streaming Data.

Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Analyzing and repairing concept drift adaptation in data stream classification.

Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson

Mach. Learn., 2022

A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams.

Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Measuring Difficulty of Learning Using Ensemble Methods.

Bowen Chen, Yun Sing Koh, Ben Halstead

Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022

Active Learning Using Difficult Instances.

Bowen Chen, Yun Sing Koh, Ben Halstead

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.

Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet

Data Min. Knowl. Discov., 2021

Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information.

Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021