Haym Hirsh

Publication Activity (10 Years)

Years Active: 1987-2020
Publications (10 Years): 3

Top Topics

Human Computation

Sustainable Development

Top Venues

AAAI Fall Symposium: Discovery Informatics

AAAI Fall Symposium: Machine Aggregation of Human Judgment

Publications

Jaron Porciello, Maryia Ivanina, Maidul Islam, Stefan Einarson, Haym Hirsh
Accelerating evidence-informed decision-making for the Sustainable Development Goals using machine learning. Nat. Mach. Intell. 2 (10) (2020)
Paul Upchurch, Daniel Sedra, Andrew Mullen, Haym Hirsh, Kavita Bala
Interactive Consensus Agreement Games for Labeling Images. HCOMP (2016)
Pietro Michelucci, Lea Shanley, Janis Dickinson, Haym Hirsh
A U.S. Research Roadmap for Human Computation. CoRR (2015)
Seyda Ertekin, Cynthia Rudin, Haym Hirsh
Approximating the crowd. Data Min. Knowl. Discov. 28 (5-6) (2014)
David W. McDonald, David H. Ackley, Randal E. Bryant, Melissa Gedney, Haym Hirsh, Lea Shanley
Antisocial computing: exploring design risks in social computing systems. Interactions 21 (6) (2014)
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
Reports on the 2012 AAAI Fall Symposium Series. AI Mag. 34 (1) (2013)
Seyda Ertekin, Haym Hirsh, Cynthia Rudin
Learning to Predict the Wisdom of Crowds CoRR (2012)
Yolanda Gil, Haym Hirsh
Discovery Informatics: AI Opportunities in Scientific Discovery. AAAI Fall Symposium: Discovery Informatics (2012)
Seyda Ertekin, Haym Hirsh, Cynthia Rudin
Selective Sampling of Labelers for Approximating the Crowd. AAAI Fall Symposium: Machine Aggregation of Human Judgment (2012)
Yotam I. Gingold, Etienne Vouga, Eitan Grinspun, Haym Hirsh
Diamonds From the Rough: Improving Drawing, Painting, and Singing via Crowdsourcing. HCOMP@AAAI (2012)
Will Bridewell, Yolanda Gil, Haym Hirsh, Kerstin Kleese van Dam, Karsten Steinhaeuser
Preface. AAAI Fall Symposium: Discovery Informatics (2012)
Chumki Basu, William W. Cohen, Haym Hirsh, Craig G. Nevill-Manning
Technical Paper Recommendation: A Study in Combining Multiple Information Sources CoRR (2011)
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
AAAI 2008 Workshop Reports. AI Mag. 30 (1) (2009)
Haym Hirsh
Data Mining Research: Current Status and Future Opportunities. Stat. Anal. Data Min. 1 (2) (2008)
Sarah Zelikovitz, William W. Cohen, Haym Hirsh
Extending WHIRL with background knowledge for improved text classification. Inf. Retr. 10 (1) (2007)
Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh
Experience-efficient learning in associative bandit problems. ICML (2006)
Sarah Zelikovitz, Haym Hirsh
Improving Text Classification Using EM with Background Text. FLAIRS Conference (2005)
Alexander Borgida, Thomas J. Walsh, Haym Hirsh
Towards Measuring Similarity in Description Logics. Description Logics (2005)
Matthew Stone, Haym Hirsh
Artificial Intelligence: The Next Twenty-Five Years. AI Mag. 26 (4) (2005)
Haym Hirsh, Nina Mishra, Leonard Pitt
Version spaces and the consistency problem. Artif. Intell. 156 (2) (2004)
Sofus A. Macskassy, Haym Hirsh
Adding numbers to text classification. CIKM (2003)
Sarah Zelikovitz, Haym Hirsh
Integrating Background Knowledge Into Text Classification. IJCAI (2003)
Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik
Converting numerical classification into text classification. Artif. Intell. 143 (1) (2003)
Steve A. Chien, Haym Hirsh
Editorial Introduction: The Fourteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2001). AI Mag. 23 (2) (2002)
Sarah Zelikovitz, Haym Hirsh
Integrating Background Knowledge into Nearest-Neighbor Text Classification. ECCBR (2002)
Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik
Using Text Classifiers for Numerical Classification. IJCAI (2001)
Sarah Zelikovitz, Haym Hirsh
Using LSI for Text Classification in the Presence of Background Text. CIKM (2001)
Sofus A. Macskassy, Haym Hirsh, Foster J. Provost, Ramesh Sankaranarayanan, Vasant Dhar
Intelligent Information Triage. SIGIR (2001)
Chumki Basu, Haym Hirsh, William W. Cohen, Craig G. Nevill-Manning
Technical Paper Recommendation: A Study in Combining Multiple Information Sources. J. Artif. Intell. Res. 14 (2001)
Robert S. Engelmore, Haym Hirsh
Editorial Introduction to this Special Issue of AI Magazine: The Twelfth Innovative Applications of Artificial Intelligence Conference (IAAI-2000). AI Mag. 22 (2) (2001)
Marti A. Hearst, Haym Hirsh
AI's Greatest Trends and Controversies. IEEE Intell. Syst. 15 (1) (2000)
Khaled Rasheed, Haym Hirsh
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models. GECCO (2000)
Haym Hirsh, Chumki Basu, Brian D. Davison
Enabling technologies: learning to personalize. Commun. ACM 43 (8) (2000)
Sarah Zelikovitz, Haym Hirsh
Improving Short-Text Classification using Unlabeled Data for Classification Problems. ICML (2000)
Gary M. Weiss, Haym Hirsh
A Quantitative Study of Small Disjuncts. AAAI/IAAI (2000)
Haym Hirsh, Michael H. Coen, Michael C. Mozer, Richard Hasha, James L. Flanagan
Room service, AI-style. IEEE Intell. Syst. 14 (2) (1999)
Khaled Rasheed, Haym Hirsh
Learning to be selective in genetic-algorithm-based design optimization. Artif. Intell. Eng. Des. Anal. Manuf. 13 (3) (1999)
Daniel Kudenko, Haym Hirsh
Feature-Based Learners for Description Logics. Description Logics (1999)
William W. Cohen, Haym Hirsh
Joins that Generalize: Text Classification Using WHIRL. KDD (1998)
Mark Schwabacher, Thomas Ellman, Haym Hirsh
Learning to set up numerical optimizations of engineering designs. Artif. Intell. Eng. Des. Anal. Manuf. 12 (2) (1998)
Ronen Feldman, Ido Dagan, Haym Hirsh
Mining Text Using Keyword Distributions. J. Intell. Inf. Syst. 10 (3) (1998)
Chumki Basu, Haym Hirsh, William W. Cohen
Recommendation as Classification: Using Social and Content-Based Information in Recommendation. AAAI/IAAI (1998)
Haym Hirsh
Trends & Controversies: Interactive Fiction. IEEE Intell. Syst. 13 (6) (1998)
Gary M. Weiss, Haym Hirsh
Learning to Predict Rare Events in Event Sequences. KDD (1998)
Gary M. Weiss, Haym Hirsh
The Problem with Noise and Small Disjuncts. ICML (1998)
Daniel Kudenko, Haym Hirsh
Feature Generation for Sequence Categorization. AAAI/IAAI (1998)
Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan Aumann, Orly Liphstat, Yonatan Schler, Martin Rajman
Knowledge Management: A Text Mining Approach. PAKM (1998)
Sofus A. Macskassy, Arunava Banerjee, Brian D. Davison, Haym Hirsh
Human Performance on Clustering Web Pages: A Preliminary Study. KDD (1998)
Khaled Rasheed, Haym Hirsh, Andrew Gelsey
A genetic algorithm for continuous design space search. Artif. Intell. Eng. 11 (3) (1997)
Haym Hirsh, Brian D. Davison
An Adaptive UNIX Command-Line Assistant. Agents (1997)
Brian D. Davison, Haym Hirsh
Experiments in UNIX Command Prediction. AAAI/IAAI (1997)
Khaled Rasheed, Haym Hirsh
Using Case Based Learning to Improve Genetic Algorithm Based Design Optimization. ICGA (1997)
Brian D. Davison, Haym Hirsh
Toward an Adaptive Command Line Interface. HCI (2) (1997)
Ronen Feldman, Haym Hirsh
Exploiting Background Information in Knowledge Discovery from Text. J. Intell. Inf. Syst. 9 (1) (1997)
Haym Hirsh, Nina Mishra, Leonard Pitt
Version Spaces without Boundary Sets. AAAI/IAAI (1997)
Haym Hirsh, Daniel Kudenko
Representing Sequences in Description Logics. AAAI/IAAI (1997)
Mark Schwabacher, Thomas Ellman, Haym Hirsh
Inductive learning for engineering design optimization. Artif. Intell. Eng. Des. Anal. Manuf. 10 (2) (1996)
Kwong Bor Ng, David Loewenstern, Chumki Basu, Haym Hirsh, Paul B. Kantor
Data Fusion of Machine-Learning Methods for the TREC5 Routing Task (and other work). TREC (1996)
Daniel Kudenko, Haym Hirsh
Representing Sequences in Description Logics Using Suffix Trees. Description Logics (1996)
Ronen Feldman, Haym Hirsh
Mining Associations in Text in the Presence of Background Knowledge. KDD (1996)
William W. Cohen, Haym Hirsh
Corrigendum for "Learnability of Description Logics". COLT (1995)
Haym Hirsh
Generalizing Version Spaces. Mach. Learn. 17 (1) (1994)
William W. Cohen, Haym Hirsh
The Learnability of Description Logics with Equality Constraints. Mach. Learn. 17 (2-3) (1994)
Haym Hirsh, Michiel O. Noordewier
Using Background Knowledge to Improve Inductive Learning: A Case Study in Molecular Biology. IEEE Expert 9 (5) (1994)
Haym Hirsh, Nathalie Japkowicz
Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology. AAAI (1994)
William W. Cohen, Haym Hirsh
Learning the Classic Description Logic: Theoretical and Experimental Results. KR (1994)
Steven W. Norton, Haym Hirsh
Learning DNF Via Probabilistic Evidence Combination. ICML (1993)
William W. Cohen, Alexander Borgida, Haym Hirsh
Computing Least Common Subsumers in Description Logics. AAAI (1992)
Haym Hirsh
Polynomial-Time Learning with Version Spaces. AAAI (1992)
Steven W. Norton, Haym Hirsh
Classifier Learning from Noisy Data as Probabilistic Evidence Combination. AAAI (1992)
William W. Cohen, Haym Hirsh
Learnability of Description Logics. COLT (1992)
Haym Hirsh
Theoretical Underpinnings of Version Spaces. IJCAI (1991)
Haym Hirsh
Incremental Version-Space Merging. ML (1990)
Haym Hirsh
Learning from Data with Bounded Inconsistency. ML (1990)
Scott H. Clearwater, Tze-Pin Chen, Haym Hirsh, Bruce G. Buchanan
Incremental Batch Learning. ML (1989)
Haym Hirsh
Combining Empirical and Analytical Learning with Version Spaces. ML (1989)
Melissa P. Chase, Monte Zweben, Richard L. Piazza, John D. Burger, Paul P. Maglio, Haym Hirsh
Approximating Learned Search Control Knowledge. ML (1989)
Haym Hirsh
Reasoning about Operationality for Explanation-Based Learning. ML (1988)
Haym Hirsh
Explanation-based Generalization in a Logic-Programming Environment. IJCAI (1987)