2005 |
13 | EE | Joel D. Martin:
Fast and Furious Text Mining.
IEEE Data Eng. Bull. 28(4): 11-20 (2005) |
2003 |
12 | EE | Howard Johnson,
Joel D. Martin:
Unsupervised Learning of Morphology for English and Inuktitut.
HLT-NAACL 2003 |
11 | EE | Berry de Bruijn,
Joel D. Martin:
Finiding Gene Function using LitMiner.
TREC 2003: 451-459 |
10 | EE | Ian Donaldson,
Joel D. Martin,
Berry de Bruijn,
Cheryl Wolting,
Vicki Lay,
Brigitte Tuekam,
Shudong Zhang,
Berivan Baskin,
Gary D. Bader,
Katerina Michalickova,
Tony Pawson,
Christopher W. V. Hogue:
PreBIND and Textomy - mining the biomedical literature for protein-protein interactions using a support vector machine.
BMC Bioinformatics 4: 11 (2003) |
2001 |
9 | EE | Alain Désilets,
Berry de Bruijn,
Joel D. Martin:
Extracting Keyphrases from Spoken Audio Documents.
SIGIR Workshop: Information Retrieval Techniques for Speech Applications 2001: 36-50 |
1999 |
8 | EE | Joel D. Martin,
Chris Lankester:
Ask Me Tomorrow: The NRC and University of Ottawa Question Answering System.
TREC 1999 |
1998 |
7 | EE | Joel D. Martin,
Robert Holte:
Searching for Content-Based Addresses on the World-Wide Web.
ACM DL 1998: 299-300 |
1995 |
6 | EE | Joel D. Martin,
Kurt VanLehn:
Student assessment using Bayesian nets.
Int. J. Hum.-Comput. Stud. 42(6): 575-591 (1995) |
1994 |
5 | | Joel D. Martin:
DP 1: Supervised and Unsupervised Clustering.
ECML 1994: 395-398 |
4 | | Joel D. Martin,
Dorrit Billman:
Acquiring and Combining Overlapping Concepts.
Machine Learning 16(1-2): 121-155 (1994) |
1991 |
3 | | Joel D. Martin,
Dorrit Billman:
Variability Bias and Category Learning.
ML 1991: 90-94 |
1989 |
2 | | Joel D. Martin:
Focusing Attention for Observational Learning: The Importance of Context.
IJCAI 1989: 562-567 |
1 | | Joel D. Martin:
Reducing Redundant Learning.
ML 1989: 396-399 |