Haym Hirsh

Affiliations:
  • Rutgers University, USA


According to our database1, Haym Hirsh authored at least 81 papers between 1987 and 2020.

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Bibliography

2020
Accelerating evidence-informed decision-making for the Sustainable Development Goals using machine learning.
Nat. Mach. Intell., 2020

2016
Interactive Consensus Agreement Games for Labeling Images.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

2015
A U.S. Research Roadmap for Human Computation.
CoRR, 2015

2014
Antisocial computing: exploring design risks in social computing systems.
Interactions, 2014

Approximating the crowd.
Data Min. Knowl. Discov., 2014

2013
Human Computation in the Wild.
Proceedings of the Handbook of Human Computation, 2013

Reports on the 2012 AAAI Fall Symposium Series.
AI Mag., 2013

2012
Learning to Predict the Wisdom of Crowds
CoRR, 2012

Diamonds From the Rough: Improving Drawing, Painting, and Singing via Crowdsourcing.
Proceedings of the 4th Human Computation Workshop, 2012

Discovery Informatics: AI Opportunities in Scientific Discovery.
Proceedings of the Discovery Informatics: The Role of AI Research in Innovating Scientific Processes, 2012

Selective Sampling of Labelers for Approximating the Crowd.
Proceedings of the Machine Aggregation of Human Judgment, 2012

Preface.
Proceedings of the Discovery Informatics: The Role of AI Research in Innovating Scientific Processes, 2012

2009
AAAI 2008 Workshop Reports.
AI Mag., 2009

2008
Data Mining Research: Current Status and Future Opportunities.
Stat. Anal. Data Min., 2008

2007
Extending WHIRL with background knowledge for improved text classification.
Inf. Retr., 2007

2006
Experience-efficient learning in associative bandit problems.
Proceedings of the Machine Learning, 2006

2005
Artificial Intelligence: The Next Twenty-Five Years.
AI Mag., 2005

Improving Text Classification Using EM with Background Text.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Towards Measuring Similarity in Description Logics.
Proceedings of the 2005 International Workshop on Description Logics (DL2005), 2005

2004
Version spaces and the consistency problem.
Artif. Intell., 2004

2003
Converting numerical classification into text classification.
Artif. Intell., 2003

Integrating Background Knowledge Into Text Classification.
Proceedings of the IJCAI-03, 2003

Adding numbers to text classification.
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2002
Editorial Introduction: The Fourteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2001).
AI Mag., 2002

Integrating Background Knowledge into Nearest-Neighbor Text Classification.
Proceedings of the Advances in Case-Based Reasoning, 6th European Conference, 2002

2001
Technical Paper Recommendation: A Study in Combining Multiple Information Sources.
J. Artif. Intell. Res., 2001

Editorial Introduction to this Special Issue of AI Magazine: The Twelfth Innovative Applications of Artificial Intelligence Conference (IAAI-2000).
AI Mag., 2001

Intelligent Information Triage.
Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Using Text Classifiers for Numerical Classification.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Using LSI for Text Classification in the Presence of Background Text.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
AI's Greatest Trends and Controversies.
IEEE Intell. Syst., 2000

Enabling technologies: learning to personalize.
Commun. ACM, 2000

Improving Short-Text Classification using Unlabeled Data for Classification Problems.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

A Quantitative Study of Small Disjuncts.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Room service, AI-style.
IEEE Intell. Syst., 1999

Learning to be selective in genetic-algorithm-based design optimization.
Artif. Intell. Eng. Des. Anal. Manuf., 1999

Feature-Based Learners for Description Logics.
Proceedings of the 1999 International Workshop on Description Logics (DL'99), Linköping, Sweden, July 30, 1999

1998
Mining Text Using Keyword Distributions.
J. Intell. Inf. Syst., 1998

Trends & Controversies: Interactive Fiction.
IEEE Intell. Syst., 1998

Learning to set up numerical optimizations of engineering designs.
Artif. Intell. Eng. Des. Anal. Manuf., 1998

Knowledge Management: A Text Mining Approach.
Proceedings of the PAKM 98, 1998

Learning to Predict Rare Events in Event Sequences.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Human Performance on Clustering Web Pages: A Preliminary Study.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Joins that Generalize: Text Classification Using WHIRL.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

The Problem with Noise and Small Disjuncts.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Feature Generation for Sequence Categorization.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Recommendation as Classification: Using Social and Content-Based Information in Recommendation.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
Exploiting Background Information in Knowledge Discovery from Text.
J. Intell. Inf. Syst., 1997

A genetic algorithm for continuous design space search.
Artif. Intell. Eng., 1997

Using Case Based Learning to Improve Genetic Algorithm Based Design Optimization.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Toward an Adaptive Command Line Interface.
Proceedings of the Design of Computing Systems: Social and Ergonomic Considerations, 1997

An Adaptive UNIX Command-Line Assistant.
Proceedings of the First International Conference on Autonomous Agents, 1997

Version Spaces without Boundary Sets.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

Representing Sequences in Description Logics.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

Experiments in UNIX Command Prediction.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996
Inductive learning for engineering design optimization.
Artif. Intell. Eng. Des. Anal. Manuf., 1996

Data Fusion of Machine-Learning Methods for the TREC5 Routing Task (and other work).
Proceedings of The Fifth Text REtrieval Conference, 1996

Mining Associations in Text in the Presence of Background Knowledge.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Representing Sequences in Description Logics Using Suffix Trees.
Proceedings of the 1996 International Workshop on Description Logics, 1996

1995
Corrigendum for "Learnability of Description Logics".
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994
Badges.
Dataset, August, 1994

Generalizing Version Spaces.
Mach. Learn., 1994

The Learnability of Description Logics with Equality Constraints.
Mach. Learn., 1994

Using Background Knowledge to Improve Inductive Learning: A Case Study in Molecular Biology.
IEEE Expert, 1994

Learning the Classic Description Logic: Theoretical and Experimental Results.
Proceedings of the 4th International Conference on Principles of Knowledge Representation and Reasoning (KR'94). Bonn, 1994

Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993
Learning DNF Via Probabilistic Evidence Combination.
Proceedings of the Machine Learning, 1993

1992
Learnability of Description Logics.
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

Classifier Learning from Noisy Data as Probabilistic Evidence Combination.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

Polynomial-Time Learning with Version Spaces.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

Computing Least Common Subsumers in Description Logics.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
Theoretical Underpinnings of Version Spaces.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990
Incremental Version-Space Merging.
Proceedings of the Machine Learning, 1990

Learning from Data with Bounded Inconsistency.
Proceedings of the Machine Learning, 1990

1989
Incremental version-space merging : a general framework for concept learning.
PhD thesis, 1989

Combining Empirical and Analytical Learning with Version Spaces.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Incremental Batch Learning.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Approximating Learned Search Control Knowledge.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988
Reasoning about Operationality for Explanation-Based Learning.
Proceedings of the Machine Learning, 1988

1987
Explanation-based Generalization in a Logic-Programming Environment.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987


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