Douglas H. Fisher

According to our database1, Douglas H. Fisher authored at least 67 papers between 1985 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
pReview: The Artificially Intelligent Conference Reviewer.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Extending the Philosophy of Computational Criticism.
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

2019
Computational sustainability: computing for a better world and a sustainable future.
Commun. ACM, 2019

Critique as Creativity: Towards Developing Computational Commentators on Creative Works.
Proceedings of the Tenth International Conference on Computational Creativity, 2019

Region Radio: An AI that Finds and Tells Stories about Places.
Proceedings of the Tenth International Conference on Computational Creativity, 2019

2018
Integrating Social Good into CS Education.
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

Who downloads online content and why?
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Is Scrolling Disrupting While Reading?
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

2017
Establishing Conventions for Citing Educational Materials (Abstract Only).
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Pass the Idea Please: The Relationship between Network Position, Direct Engagement, and Course Performance in MOOCs.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

A Selected Summary of AI for Computational Sustainability.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Online Courses.
Proceedings of the Handbook of Science and Technology Convergence, 2016

Incorporating Sustainability into Computing Education.
IEEE Intell. Syst., 2016

Recent Advances in AI for Computational Sustainability.
IEEE Intell. Syst., 2016

Exploring the Effects of Lightweight Social Incentives on Learner Performance in MOOCs.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Meal Planning from an Abstraction Hierarchy of Menus and Recipes.
Proceedings of the Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31, 2016

2015
Blended CS Courses using Massive, Open, Online Courses (and other Online Resources) (Abstract Only).
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Behavior Prediction in MOOCs using Higher Granularity Temporal Information.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

2014
Leveraging AI Teaching in the Cloud for AI Teaching on Campus.
AI Mag., 2014

The past, present, and future of MOOCs and their relevance to software engineering.
Proceedings of the on Future of Software Engineering, 2014

2013
Teaching Computational Thinking Skills in C3STEM with Traffic Simulation.
Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013

Computational Models of Surprise as a Mechanism for Evaluating Creative Design, .
Proceedings of the Fourth International Conference on Computational Creativity, 2013

2011
Computing and AI for a Sustainable Future.
IEEE Intell. Syst., 2011

Reports of the AAAI 2011 Spring Symposia.
AI Mag., 2011

Free Play in Contemplative Ambient Intelligence.
Proceedings of the Ambient Intelligence, 2011

Towards Grammars for Cradle-to-Cradle Design.
Proceedings of the Artificial Intelligence and Sustainable Design, 2011

Preface.
Proceedings of the Artificial Intelligence and Sustainable Design, 2011

Organizing Committee.
Proceedings of the AI and Health Communication, 2011

2008
AI and Developing Socially-Engaged Computational Thinkers.
Proceedings of the Using AI to Motivate Greater Participation in Computer Science, 2008

2007
Ensemble Stump Classifiers and Gene Expression Signatures in Lung Cancer.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

2006
Bootstrapping rule induction to achieve rule stability and reduction.
J. Intell. Inf. Syst., 2006

Backward chaining rule induction.
Intell. Data Anal., 2006

2005
Searching for Meaningful Feature Interactions with Backward-Chaining Rule Induction.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Using Prior Knowledge and Rule Induction Methods to Discover Molecular Markers of Prognosis in Lung Cancer.
Proceedings of the AMIA 2005, 2005

2003
Bootstrapping Rule Induction.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Identifying Markov Blankets with Decision Tree Induction.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Editorial.
Mach. Learn., 2002

2001
Introduction.
Mach. Learn., 2001

2000
Advances in intelligent data analysis.
Intell. Data Anal., 2000

An empirical analysis of techniques for constructing and searching k-dimensional trees.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999
Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

OPT-KD: An Algorithm for Optimizing Kd-Trees.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Modeling decision tree performance with the power law.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
ITERATE: a conceptual clustering algorithm for data mining.
IEEE Trans. Syst. Man Cybern. Part C, 1998

A Review of the Fourteenth International Conference on Machine Learning.
Intell. Data Anal., 1998

1996
Iterative Optimization and Simplification of Hierarchical Clusterings.
J. Artif. Intell. Res., 1996

1994
Overcoming Process Delays with Decision Tree Induction.
IEEE Expert, 1994

1993
Applying AI Clustering to Engineering Tasks.
IEEE Expert, 1993

1992
Ordering Effects in Clustering.
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991
Concept Formation over Explanations and Problem-Solving Experience.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Identifying Cost Effective Boundaries of Operationality.
Proceedings of the Eighth International Workshop (ML91), 1991

Combining Evidence of Deep and Surface Similarity.
Proceedings of the Eighth International Workshop (ML91), 1991

1990
Statistical guidance in symbolic learning.
Ann. Math. Artif. Intell., 1990

Improving Planning Efficient by Conceptual Clustering.
Proceedings of the Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1990, July 15-18, 1990, The Mills House Hotel, Charleston, SC, USA, 1990

Search Control, Utility, and Concept Induction.
Proceedings of the Machine Learning, 1990

1989
Models of Incremental Concept Formation.
Artif. Intell., 1989

An Empirical Comparison of ID3 and Back-propagation.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Noise-Tolerant Conceptual Clustering.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Conceptual Clustering of Explanations.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Conceptual Clustering of Mean-Ends Plans.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988
Concept Simplification and Prediction Accuracy.
Proceedings of the Machine Learning, 1988

A Computational Account of Basic Level and Typicality Effects.
Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987
Knowledge Acquisition via Incremental Conceptual Clustering.
Mach. Learn., 1987

Improving Inference through Conceptual Clustering.
Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987

1986
A Case Study of Incremental Concept Induction.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985
Approaches to Conceptual Clustering.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985


  Loading...