Chris Drummond

According to our database, Chris Drummond authored at least 37 papers between 1993 and 2022.

Collaborative distances:

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

2022

Machine learning and reduced order computation of a friction stir welding model.

Xiulei Cao, Kirk Fraser, Zilong Song, Chris Drummond, Huaxiong Huang

J. Comput. Phys., 2022

2019

Is the drive for reproducible science having a detrimental effect on what is published?

Chris Drummond

Learn. Publ., 2019

2018

Manifold-based synthetic oversampling with manifold conformance estimation.

Colin Bellinger, Christopher Drummond, Nathalie Japkowicz

Mach. Learn., 2018

Reproducible research: a minority opinion.

Chris Drummond

J. Exp. Theor. Artif. Intell., 2018

An Incremental Machine Learning Algorithm for Nuclear Forensics.

Chris Drummond

Proceedings of the Advances in Artificial Intelligence, 2018

2017

Classification.

Chris Drummond

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Class.

Chris Drummond

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Attribute.

Chris Drummond

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2016

Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling.

Colin Bellinger, Christopher Drummond, Nathalie Japkowicz

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

Synthetic Oversampling for Advanced Radioactive Threat Detection.

Colin Bellinger, Nathalie Japkowicz, Christopher Drummond

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2013

Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm.

Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2010

Classification.

Chris Drummond

Proceedings of the Encyclopedia of Machine Learning, 2010

Class.

Chris Drummond

Proceedings of the Encyclopedia of Machine Learning, 2010

Attribute.

Chris Drummond

Proceedings of the Encyclopedia of Machine Learning, 2010

Warning: statistical benchmarking is addictive. Kicking the habit in machine learning.

Chris Drummond, Nathalie Japkowicz

J. Exp. Theor. Artif. Intell., 2010

Improving Bayesian Learning Using Public Knowledge.

Farid Seifi, Chris Drummond, Nathalie Japkowicz, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2010

Robustness of Classifiers to Changing Environments.

Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2010

2009

Workshop summary: The fourth workshop on evaluation methods for machine learning.

Chris Drummond, Nathalie Japkowicz, William Klement, Sofus A. Macskassy

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Cost-Sensitive Classifier Evaluation Using Cost Curves.

Robert C. Holte, Chris Drummond

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007

AAAI-07 Workshop Reports.

Sarabjot Singh Anand, Daniel Bahls, Catherina Burghart, Mark H. Burstein, Huajun Chen, John Collins, Thomas G. Dietterich, Jon Doyle, Chris Drummond, William Elazmeh, Christopher W. Geib, Judy Goldsmith, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman

AI Mag., 2007

Learning Multi-dimensional Functions: Gas Turbine Engine Modeling.

Chris Drummond

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Changing Failure Rates, Changing Costs: Choosing the Right Maintenance Policy.

Chris Drummond

Proceedings of the Artificial Intelligence for Prognostics, 2007

2006

Cost curves: An improved method for visualizing classifier performance.

Chris Drummond, Robert C. Holte

Mach. Learn., 2006

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.

Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko

AI Mag., 2006

Inferring and revising theories with confidence: analyzing bilingualism in the 1901 canadian census.

Chris Drummond, Stan Matwin, Chad Gaffield

Appl. Artif. Intell., 2006

Discriminative vs. Generative Classifiers for Cost Sensitive Learning.

Chris Drummond

Proceedings of the Advances in Artificial Intelligence, 2006

2005

Severe Class Imbalance: Why Better Algorithms Aren't the Answer.

Chris Drummond, Robert C. Holte

Proceedings of the Machine Learning: ECML 2005, 2005

2004

What ROC Curves Can't Do (and Cost Curves Can).

Chris Drummond, Robert C. Holte

Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004

Iterative Semi-supervised Learning: Helping the User to Find the Right Records.

Chris Drummond

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

2002

Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks.

Chris Drummond

J. Artif. Intell. Res., 2002

2000

A Learning Agent that Assists the Browsing of Software Libraries.

Chris Drummond, Dan Ionescu, Robert C. Holte

IEEE Trans. Software Eng., 2000

Explicitly representing expected cost: an alternative to ROC representation.

Chris Drummond, Robert C. Holte

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria.

Chris Drummond, Robert C. Holte

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998

Composing Functions to Speed up Reinforcement Learning in a Changing World.

Chris Drummond

Proceedings of the Machine Learning: ECML-98, 1998

1997

Using a Case Base of Surfaces to Speed-Up Reinforcement Learning.

Chris Drummond

Proceedings of the Case-Based Reasoning Research and Development, 1997

1996

Intelligent Browsing for Multimedia Applications.

Chris Drummond, Dan Ionescu, Robert Holte, Nicolas D. Georganas, Emil M. Petriu

Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1996

1993

Accelerating browsing by automatically inferring a user's search goal.

Chris Drummond, Robert C. Holte, Dan Ionescu

Proceedings of the Eighth Knowledge-Based Software Engineering Conference, 1993