| 2009 |
35 | | Omid David-Tabibi,
H. Jaap van den Herik,
Moshe Koppel,
Nathan S. Netanyahu:
Simulating human grandmasters: evolution and coevolution of evaluation functions.
GECCO 2009: 1483-1490 |
34 | | Shlomo Argamon,
Moshe Koppel,
James W. Pennebaker,
Jonathan Schler:
Automatically profiling the author of an anonymous text.
Commun. ACM 52(2): 119-123 (2009) |
33 | | Moshe Koppel,
Jonathan Schler,
Shlomo Argamon:
Computational methods in authorship attribution.
JASIST 60(1): 9-26 (2009) |
| 2008 |
32 | | Benno Stein,
Efstathios Stamatatos,
Moshe Koppel:
Proceedings of the ECAI'08 Workshop on Uncovering Plagiarism, Authorship and Social Software Misuse, Patras, Greece, July 22, 2008
CEUR-WS.org 2008 |
31 | | Omid David-Tabibi,
Moshe Koppel,
Nathan S. Netanyahu:
Genetic algorithms for mentor-assisted evaluation function optimization.
GECCO 2008: 1469-1476 |
| 2007 |
30 | | Benno Stein,
Moshe Koppel,
Efstathios Stamatatos:
Proceedings of the SIGIR 2007 International Workshop on Plagiarism Analysis, Authorship Identification, and Near-Duplicate Detection, PAN 2007, Amsterdam, Netherlands, July 27, 2007
CEUR-WS.org 2007 |
29 | | Dmitry Davidov,
Ari Rappoport,
Moshe Koppel:
Fully Unsupervised Discovery of Concept-Specific Relationships by Web Mining.
ACL 2007 |
28 | | Shlomo Argamon,
Moshe Koppel,
James W. Pennebaker,
Jonathan Schler:
Mining the Blogosphere: Age, gender and the varieties of self-expression.
First Monday 12(9): (2007) |
27 | | Yosef A. Solewicz,
Moshe Koppel:
UsingPost-Classifiers to Enhance Fusion of Low- and High-Level Speaker Recognition.
IEEE Transactions on Audio, Speech & Language Processing 15(7): 2063-2071 (2007) |
26 | | Benno Stein,
Moshe Koppel,
Efstathios Stamatatos:
Plagiarism analysis, authorship identification, and near-duplicate detection PAN'07.
SIGIR Forum 41(2): 68-71 (2007) |
| 2006 |
25 | | Moshe Koppel,
Jonathan Schler,
Shlomo Argamon,
Eran Messeri:
Authorship attribution with thousands of candidate authors.
SIGIR 2006: 659-660 |
24 | | Moshe Koppel,
Jonathan Schler:
The Importance of Neutral Examples for Learning Sentiment.
Computational Intelligence 22(2): 100-109 (2006) |
23 | | Moshe Koppel,
Navot Akiva,
Ido Dagan:
Feature instability as a criterion for selecting potential style markers.
JASIST 57(11): 1519-1525 (2006) |
| 2005 |
22 | | Oren Glickman,
Ido Dagan,
Moshe Koppel:
A Probabilistic Classification Approach for Lexical Textual Entailment.
AAAI 2005: 1050-1055 |
21 | | Moshe Koppel,
Jonathan Schler:
Using Neutral Examples for Learning Polarity.
IJCAI 2005: 1616-1617 |
20 | | Oren Glickman,
Ido Dagan,
Moshe Koppel:
A Probabilistic Lexical Approach to Textual Entailment.
IJCAI 2005: 1682-1683 |
19 | | Moshe Koppel,
Jonathan Schler,
Kfir Zigdon:
Automatically Determining an Anonymous Author's Native Language.
ISI 2005: 209-217 |
18 | | Yosef A. Solewicz,
Moshe Koppel:
Selective Fusion for Speaker Verification in Surveillance.
ISI 2005: 269-279 |
17 | | Moshe Koppel,
Jonathan Schler,
Kfir Zigdon:
Determining an author's native language by mining a text for errors.
KDD 2005: 624-628 |
16 | | Oren Glickman,
Ido Dagan,
Moshe Koppel:
A Lexical Alignment Model for Probabilistic Textual Entailment.
MLCW 2005: 287-298 |
| 2004 |
15 | | Moshe Koppel,
Jonathan Schler:
Authorship verification as a one-class classification problem.
ICML 2004 |
| 2001 |
14 | | Julio Ortega,
Moshe Koppel,
Shlomo Argamon:
Arbitrating Among Competing Classifiers Using Learned Referees.
Knowl. Inf. Syst. 3(4): 470-490 (2001) |
| 2000 |
13 | | Shlomo Argamon-Engelson,
Moshe Koppel,
Hillel Walters:
Maximizing Theory Accuracy Through Selective Reinterpretation.
Machine Learning 41(2): 123-152 (2000) |
| 1998 |
12 | | Shlomo Argamon-Engelson,
Moshe Koppel:
Tractability of Theory Patching
CoRR cs.AI/9803103: (1998) |
11 | | Shlomo Argamon-Engelson,
Moshe Koppel:
Tractability of Theory Patching.
J. Artif. Intell. Res. (JAIR) 8: 39-65 (1998) |
| 1996 |
10 | | Sean P. Engelson,
Moshe Koppel:
Identifying the Information Contained in a Flawed Theory.
ICML 1996: 131-138 |
| 1995 |
9 | | Sean P. Engelson,
Moshe Koppel:
Distilling Reliable Information From Unreliable Theories.
ICML 1995: 218-225 |
| 1994 |
8 | | Moshe Koppel,
Alberto Maria Segre,
Ronen Feldman:
Getting the Most from Flawed Theories.
ICML 1994: 139-147 |
7 | | Moshe Koppel,
Ronen Feldman,
Alberto Maria Segre:
Bias-Driven Revision of Logical Domain Theories
CoRR cs.AI/9402103: (1994) |
6 | | Moshe Koppel,
Ronen Feldman,
Alberto Maria Segre:
Bias-Driven Revision of Logical Domain Theories.
J. Artif. Intell. Res. (JAIR) 1: 159-208 (1994) |
| 1991 |
5 | | Ronen Feldman,
Alberto Maria Segre,
Moshe Koppel:
Incremental Refinement of Approximate Domain Theories.
ML 1991: 500-504 |
4 | | Moshe Koppel:
ESBL: an integrated method for learning from partial information.
Ann. Math. Artif. Intell. 4: 323-343 (1991) |
3 | | Moshe Koppel,
Henri Atlan:
An almost machine-independent theory of program-length complexity, sophistication, and induction.
Inf. Sci. 56(1-3): 23-33 (1991) |
2 | | Moshe Koppel:
Learning to Predict Non-Deterministically Generated Strings.
Machine Learning 7: 85-99 (1991) |
| 1989 |
1 | | Moshe Koppel:
Unpredictable strings are collectives.
J. Comb. Theory, Ser. A 51(1): 144-148 (1989) |