Ben Halstead

Ben Halstead

University of Auckland

H-index: 4

Oceania-New Zealand

About Ben Halstead

Ben Halstead, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at University of Auckland, specializes in the field of Machine learning, Concept Drift, Data Streams, Streaming Data, Online Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

FALL: A Modular Adaptive Learning Platform for Streaming Data

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

Measuring Difficulty of Learning Using Ensemble Methods

Active Learning Using Difficult Instances

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

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

Ben Halstead Information

University

Position

___

Citations(all)

36

Citations(since 2020)

36

Cited By

0

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

University of Auckland

Google Scholar

View Google Scholar Profile

Ben Halstead Skills & Research Interests

Machine learning

Concept Drift

Data Streams

Streaming Data

Online Machine Learning

Top articles of Ben Halstead

Title

Journal

Author(s)

Publication Date

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

ACM Transactions on Knowledge Discovery from Data

Ben Halstead

Yun Sing Koh

Patricia Riddle

Mykola Pechenizkiy

Albert Bifet

2023/5/12

FALL: A Modular Adaptive Learning Platform for Streaming Data

Ben Halstead

Yun Sing Koh

Patricia Riddle

Mykola Pechenizkiy

Albert Bifet

2023/4/3

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

Ben Halstead

Yun Sing Koh

Patricia Riddle

Mykola Pechenizkiy

Albert Bifet

2022/10/13

Measuring Difficulty of Learning Using Ensemble Methods

Bowen Chen

Yun Sing Koh

Ben Halstead

2022/12/5

Active Learning Using Difficult Instances

Bowen Chen

Yun Sing Koh

Ben Halstead

2022/12/3

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

Data Mining and Knowledge Discovery

Ben Halstead

Yun Sing Koh

Patricia Riddle

Russel Pears

Mykola Pechenizkiy

...

2021/5

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

Ben Halstead

Yun Sing Koh

Patricia Riddle

Mykola Pechenizkiy

Albert Bifet

...

2021/4/19

See List of Professors in Ben Halstead University(University of Auckland)