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GPUTreeShap: Fast Parallel Tree Interpretability

Oct 27, 2020
Rory Mitchell, Eibe Frank, Geoffrey Holmes


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Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation

Oct 15, 2020
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brungel, Manu Goyal, Hongtao Zhu, Bill Cassidy, Johannes Ruckert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O'Shea, Eibe Frank

* 18 pages, 17 figures, 10 tables 

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Adaptive XGBoost for Evolving Data Streams

May 15, 2020
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet

* To be published in Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2020, 8 pages 

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DFUC2020: Analysis Towards Diabetic Foot Ulcer Detection

Apr 24, 2020
Bill Cassidy, Neil D. Reeves, Pappachan Joseph, David Gillespie, Claire O'Shea, Satyan Rajbhandari, Arun G. Maiya, Eibe Frank, Andrew Boulton, David Armstrong, Bijan Najafi, Justina Wu, Moi Hoon Yap

* 10 pages, 6 figures 

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Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

Apr 06, 2020
Rhys Compton, Eibe Frank, Panos Patros, Abigail Koay

* In 17th International Conference on Mining Software Repositories (MSR) 2020, Seoul, Republic of Korea. 11 pages 

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Classifier Chains: A Review and Perspectives

Dec 26, 2019
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank


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Stochastic Gradient Trees

Jan 23, 2019
Henry Gouk, Bernhard Pfahringer, Eibe Frank


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On the Calibration of Nested Dichotomies for Large Multiclass Tasks

Oct 02, 2018
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes


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Regularisation of Neural Networks by Enforcing Lipschitz Continuity

Sep 14, 2018
Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Cree


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Probability Calibration Trees

Sep 14, 2018
Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer

* Leathart, T., Frank, E., Holmes, G., & Pfahringer, B. (2017). Probability calibration trees. In Proceedings of the 9th Asian Conference on Machine Learning (pp. 145-160) 
* Proceedings of the 9th Asian Conference on Machine Learning 

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Ensembles of Nested Dichotomies with Multiple Subset Evaluation

Sep 11, 2018
Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes


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MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes

Jul 01, 2018
Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael Cree

* Accepted at ECML-PKDD 2018 

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XGBoost: Scalable GPU Accelerated Learning

Jun 29, 2018
Rory Mitchell, Andrey Adinets, Thejaswi Rao, Eibe Frank


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Improving Naive Bayes for Regression with Optimised Artificial Surrogate Data

Oct 10, 2017
Michael Mayo, Eibe Frank


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Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection

Jul 05, 2016
Tim Leathart, Bernhard Pfahringer, Eibe Frank

* ECMLPKDD 2016 

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Locally Weighted Naive Bayes

Oct 19, 2012
Eibe Frank, Mark Hall, Bernhard Pfahringer

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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