Karl R. Weiss

According to our database, Karl R. Weiss authored at least 11 papers between 2016 and 2018.

Collaborative distances:

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

2018

A Study of the Impact of Base Traditional Learners on Transfer Learning Algorithms.

Karl R. Weiss, Taghi M. Khoshgoftaar

Int. J. Artif. Intell. Tools, 2018

2017

Design of a Test Framework for the Evaluation of Transfer Learning Algorithms.

Karl R. Weiss

PhD thesis, 2017

Analysis of Transfer Learning Performance Measures.

Karl R. Weiss, Taghi M. Khoshgoftaar

Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

Evaluation of Transfer Learning Algorithms Using Different Base Learners.

Karl R. Weiss, Taghi M. Khoshgoftaar

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Comparing Transfer Learning and Traditional Learning Under Domain Class Imbalance.

Karl R. Weiss, Taghi M. Khoshgoftaar

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Detection of Phishing Webpages Using Heterogeneous Transfer Learning.

Karl R. Weiss, Taghi M. Khoshgoftaar

Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017

2016

A survey of transfer learning.

Karl R. Weiss, Taghi M. Khoshgoftaar, Dingding Wang

J. Big Data, 2016

Designing a Testing Framework for Transfer Learning Algorithms (Application Paper).

Karl R. Weiss, Taghi M. Khoshgoftaar, Oneeb Rehman

Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

An Investigation of Transfer Learning and Traditional Machine Learning Algorithms.

Karl R. Weiss, Taghi M. Khoshgoftaar

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Investigating Transfer Learners for Robustness to Domain Class Imbalance.

Karl R. Weiss, Taghi M. Khoshgoftaar

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Transfer Learning Techniques.

Karl R. Weiss, Taghi M. Khoshgoftaar, Dingding Wang

Proceedings of the Big Data Technologies and Applications, 2016