Eibe Frank is a researcher affiliated with the University of Waikato in New Zealand, specializing primarily in Computer Science with a focus on Artificial Intelligence. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Endocrinology, Diabetes and Metabolism, Rehabilitation, and Periodontics.
The main topics covered in their work include Machine Learning and Data Classification, Domain Adaptation and Few-Shot Learning, Diabetic Foot Ulcer Assessment and Management, Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI), Data Stream Mining Techniques, and Machine Learning and Algorithms.
Recent papers authored or co-authored by Eibe Frank are:
Eibe Frank frequently collaborates with several researchers including Bernhard Pfahringer, Geoffrey Holmes, Ian H. Witten, Christopher Pal, and James R. Foulds. Their collaborations have contributed to multiple publications distributed across several venues.
The most common publication venues for Eibe Frank are:
Ian H. Witten;Eibe Frank
Ian H. Witten;Eibe Frank;Mark A. Hall
Mark Hall;Eibe Frank;Geoffrey Holmes;Bernhard Pfahringer
Jesse Read;Bernhard Pfahringer;Geoff Holmes;Eibe Frank
Eibe Frank;Ian H. Witten
Niels Landwehr;Mark Hall;Eibe Frank
Niels Landwehr;Mark Hall;Eibe Frank
Ian H. Witten;Gordon W. Paynter;Eibe Frank;Carl Gutwin
Ian H. Witten;Eibe Frank
Eibe Frank;Mark Hall;Len Trigg;Geoffrey Holmes
Jesse Read;Bernhard Pfahringer;Geoff Holmes;Eibe Frank
Eibe Frank;Gordon W. Paynter;Ian H. Witten;Carl Gutwin
Ian H. Witten;Eibe Frank;Leonard E. Trigg;Mark A. Hall
Albert Bifet;Eibe Frank
Eibe Frank;Mark A. Hall;Geoffrey Holmes;Richard Kirkby
Eibe Frank;Mark Hall
Ashraf M. Kibriya;Eibe Frank;Bernhard Pfahringer;Geoffrey Holmes
Eibe Frank;Yong Wang;Stuart Inglis;Geoffrey Holmes
Yu Wang;Igor V. Tetko;Mark A. Hall;Eibe Frank
Remco R. Bouckaert;Eibe Frank
Henry Gouk;Eibe Frank;Bernhard Pfahringer;Michael J. Cree
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens doors to numerous related online degrees and fast-evolving career pathways. Professionals often supplement their education with specialized programs, such as the best online electrical engineering programs USA—a field closely tied to computer science.
If you’re seeking to quickly enhance your credentials, consider pursuing easy certifications to get online. These certifications boost your resume and earning potential without requiring years of study. For those interested in advancing faster, there are also options for the fastest online master's degree programs, enabling learners to complete their graduate studies in a shorter timeframe.
When selecting a pathway, it’s important to focus on the most worthwhile masters degrees that match current job market demands. This ensures your skills remain relevant and in demand, paving the way for a successful tech career.
Toronto Metropolitan University
Harvard University
University of Auckland
Potsdam Institute for Climate Impact Research
Technical University of Munich
Cornell University
University of Tasmania
University of Trieste
Chongqing University
Dalian University of Technology
Virginia Tech
University of Oslo
Steward Health Care
Heidelberg University
Harvard University
Uppsala University