Haym Hirsh

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

Collaborative distances:

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

2020

Accelerating evidence-informed decision-making for the Sustainable Development Goals using machine learning.

Jaron Porciello, Maryia Ivanina, Maidul Islam, Stefan Einarson, Haym Hirsh

Nat. Mach. Intell., 2020

2016

Interactive Consensus Agreement Games for Labeling Images.

Paul Upchurch, Daniel Sedra, Andrew Mullen, Haym Hirsh, Kavita Bala

Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

2015

A U.S. Research Roadmap for Human Computation.

Pietro Michelucci, Lea Shanley, Janis Dickinson, Haym Hirsh

CoRR, 2015

2014

Antisocial computing: exploring design risks in social computing systems.

David W. McDonald, David H. Ackley, Randal E. Bryant, Melissa Gedney, Haym Hirsh, Lea Shanley

Interactions, 2014

Approximating the crowd.

Seyda Ertekin, Cynthia Rudin, Haym Hirsh

Data Min. Knowl. Discov., 2014

2013

Human Computation in the Wild.

Haym Hirsh

Proceedings of the Handbook of Human Computation, 2013

Reports on the 2012 AAAI Fall Symposium Series.

Rezarta Islamaj Dogan, Yolanda Gil, Haym Hirsh, Narayanan Chatapuram Krishnan, Michael Lewis, Çetin Meriçli, Parisa Rashidi, Victor Raskin, Samarth Swarup, Wei Sun, Julia M. Taylor, Lana Yeganova

AI Mag., 2013

2012

Learning to Predict the Wisdom of Crowds

Seyda Ertekin, Haym Hirsh, Cynthia Rudin

CoRR, 2012

Diamonds From the Rough: Improving Drawing, Painting, and Singing via Crowdsourcing.

Yotam I. Gingold, Etienne Vouga, Eitan Grinspun, Haym Hirsh

Proceedings of the 4th Human Computation Workshop, 2012

Discovery Informatics: AI Opportunities in Scientific Discovery.

Yolanda Gil, Haym Hirsh

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

Selective Sampling of Labelers for Approximating the Crowd.

Seyda Ertekin, Haym Hirsh, Cynthia Rudin

Proceedings of the Machine Aggregation of Human Judgment, 2012

Preface.

Will Bridewell, Yolanda Gil, Haym Hirsh, Kerstin Kleese van Dam, Karsten Steinhaeuser

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

2009

AAAI 2008 Workshop Reports.

Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Rong Zhou

AI Mag., 2009

2008

Data Mining Research: Current Status and Future Opportunities.

Haym Hirsh

Stat. Anal. Data Min., 2008

2007

Extending WHIRL with background knowledge for improved text classification.

Sarah Zelikovitz, William W. Cohen, Haym Hirsh

Inf. Retr., 2007

2006

Experience-efficient learning in associative bandit problems.

Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh

Proceedings of the Machine Learning, 2006

2005

Artificial Intelligence: The Next Twenty-Five Years.

Matthew Stone, Haym Hirsh

AI Mag., 2005

Improving Text Classification Using EM with Background Text.

Sarah Zelikovitz, Haym Hirsh

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Towards Measuring Similarity in Description Logics.

Alexander Borgida, Thomas J. Walsh, Haym Hirsh

Proceedings of the 2005 International Workshop on Description Logics (DL2005), 2005

2004

Version spaces and the consistency problem.

Haym Hirsh, Nina Mishra, Leonard Pitt

Artif. Intell., 2004

2003

Converting numerical classification into text classification.

Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik

Artif. Intell., 2003

Integrating Background Knowledge Into Text Classification.

Sarah Zelikovitz, Haym Hirsh

Proceedings of the IJCAI-03, 2003

Adding numbers to text classification.

Sofus A. Macskassy, Haym Hirsh

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).

Steve A. Chien, Haym Hirsh

AI Mag., 2002

Integrating Background Knowledge into Nearest-Neighbor Text Classification.

Sarah Zelikovitz, Haym Hirsh

Proceedings of the Advances in Case-Based Reasoning, 6th European Conference, 2002

2001

Technical Paper Recommendation: A Study in Combining Multiple Information Sources.

Chumki Basu, Haym Hirsh, William W. Cohen, Craig G. Nevill-Manning

J. Artif. Intell. Res., 2001

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

Robert S. Engelmore, Haym Hirsh

AI Mag., 2001

Intelligent Information Triage.

Sofus A. Macskassy, Haym Hirsh, Foster J. Provost, Ramesh Sankaranarayanan, Vasant Dhar

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.

Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Using LSI for Text Classification in the Presence of Background Text.

Sarah Zelikovitz, Haym Hirsh

Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000

AI's Greatest Trends and Controversies.

Marti A. Hearst, Haym Hirsh

IEEE Intell. Syst., 2000

Enabling technologies: learning to personalize.

Haym Hirsh, Chumki Basu, Brian D. Davison

Commun. ACM, 2000

Improving Short-Text Classification using Unlabeled Data for Classification Problems.

Sarah Zelikovitz, Haym Hirsh

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.

Khaled Rasheed, Haym Hirsh

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

A Quantitative Study of Small Disjuncts.

Gary M. Weiss, Haym Hirsh

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.

Haym Hirsh, Michael H. Coen, Michael C. Mozer, Richard Hasha, James L. Flanagan

IEEE Intell. Syst., 1999

Learning to be selective in genetic-algorithm-based design optimization.

Khaled Rasheed, Haym Hirsh

Artif. Intell. Eng. Des. Anal. Manuf., 1999

Feature-Based Learners for Description Logics.

Daniel Kudenko, Haym Hirsh

Proceedings of the 1999 International Workshop on Description Logics (DL'99), Linköping, Sweden, July 30, 1999

1998

Mining Text Using Keyword Distributions.

Ronen Feldman, Ido Dagan, Haym Hirsh

J. Intell. Inf. Syst., 1998

Trends & Controversies: Interactive Fiction.

Haym Hirsh

IEEE Intell. Syst., 1998

Learning to set up numerical optimizations of engineering designs.

Mark Schwabacher, Thomas Ellman, Haym Hirsh

Artif. Intell. Eng. Des. Anal. Manuf., 1998

Knowledge Management: A Text Mining Approach.

Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan Aumann, Orly Liphstat, Yonatan Schler, Martin Rajman

Proceedings of the PAKM 98, 1998

Learning to Predict Rare Events in Event Sequences.

Gary M. Weiss, Haym Hirsh

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Human Performance on Clustering Web Pages: A Preliminary Study.

Sofus A. Macskassy, Arunava Banerjee, Brian D. Davison, Haym Hirsh

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Joins that Generalize: Text Classification Using WHIRL.

William W. Cohen, Haym Hirsh

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

The Problem with Noise and Small Disjuncts.

Gary M. Weiss, Haym Hirsh

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Feature Generation for Sequence Categorization.

Daniel Kudenko, Haym Hirsh

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.

Chumki Basu, Haym Hirsh, William W. Cohen

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.

Ronen Feldman, Haym Hirsh

J. Intell. Inf. Syst., 1997

A genetic algorithm for continuous design space search.

Khaled Rasheed, Haym Hirsh, Andrew Gelsey

Artif. Intell. Eng., 1997

Using Case Based Learning to Improve Genetic Algorithm Based Design Optimization.

Khaled Rasheed, Haym Hirsh

Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Toward an Adaptive Command Line Interface.

Brian D. Davison, Haym Hirsh

Proceedings of the Design of Computing Systems: Social and Ergonomic Considerations, 1997

An Adaptive UNIX Command-Line Assistant.

Haym Hirsh, Brian D. Davison

Proceedings of the First International Conference on Autonomous Agents, 1997

Version Spaces without Boundary Sets.

Haym Hirsh, Nina Mishra, Leonard Pitt

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

Representing Sequences in Description Logics.

Haym Hirsh, Daniel Kudenko

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

Experiments in UNIX Command Prediction.

Brian D. Davison, Haym Hirsh

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.

Mark Schwabacher, Thomas Ellman, Haym Hirsh

Artif. Intell. Eng. Des. Anal. Manuf., 1996

Data Fusion of Machine-Learning Methods for the TREC5 Routing Task (and other work).

Kwong Bor Ng, David Loewenstern, Chumki Basu, Haym Hirsh, Paul B. Kantor

Proceedings of The Fifth Text REtrieval Conference, 1996

Mining Associations in Text in the Presence of Background Knowledge.

Ronen Feldman, Haym Hirsh

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Representing Sequences in Description Logics Using Suffix Trees.

Daniel Kudenko, Haym Hirsh

Proceedings of the 1996 International Workshop on Description Logics, 1996

1995

Corrigendum for "Learnability of Description Logics".

William W. Cohen, Haym Hirsh

Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994

Badges.

Haym Hirsh

Dataset, August, 1994

Generalizing Version Spaces.

Haym Hirsh

Mach. Learn., 1994

The Learnability of Description Logics with Equality Constraints.

William W. Cohen, Haym Hirsh

Mach. Learn., 1994

Using Background Knowledge to Improve Inductive Learning: A Case Study in Molecular Biology.

Haym Hirsh, Michiel O. Noordewier

IEEE Expert, 1994

Learning the Classic Description Logic: Theoretical and Experimental Results.

William W. Cohen, Haym Hirsh

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.

Haym Hirsh, Nathalie Japkowicz

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

Learning DNF Via Probabilistic Evidence Combination.

Steven W. Norton, Haym Hirsh

Proceedings of the Machine Learning, 1993

1992

Learnability of Description Logics.

William W. Cohen, Haym Hirsh

Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

Classifier Learning from Noisy Data as Probabilistic Evidence Combination.

Steven W. Norton, Haym Hirsh

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

Polynomial-Time Learning with Version Spaces.

Haym Hirsh

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

Computing Least Common Subsumers in Description Logics.

William W. Cohen, Alexander Borgida, Haym Hirsh

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

Theoretical Underpinnings of Version Spaces.

Haym Hirsh

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990

Incremental Version-Space Merging.

Haym Hirsh

Proceedings of the Machine Learning, 1990

Learning from Data with Bounded Inconsistency.

Haym Hirsh

Proceedings of the Machine Learning, 1990

1989

Incremental version-space merging : a general framework for concept learning.

Haym Hirsh

PhD thesis, 1989

Combining Empirical and Analytical Learning with Version Spaces.

Haym Hirsh

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

Incremental Batch Learning.

Scott H. Clearwater, Tze-Pin Chen, Haym Hirsh, Bruce G. Buchanan

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

Approximating Learned Search Control Knowledge.

Melissa P. Chase, Monte Zweben, Richard L. Piazza, John D. Burger, Paul P. Maglio, Haym Hirsh

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

1988

Reasoning about Operationality for Explanation-Based Learning.

Haym Hirsh

Proceedings of the Machine Learning, 1988

1987

Explanation-based Generalization in a Logic-Programming Environment.

Haym Hirsh

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987