 | 2007 |
| 14 |  | Milad Shokouhi,
Justin Zobel,
Yaniv Bernstein:
Distributed Text Retrieval From Overlapping Collections.
ADC 2007: 141-150 |
| 13 |  | Michael Cameron,
Yaniv Bernstein,
Hugh E. Williams:
Clustered Sequence Representation for Fast Homology Search.
Journal of Computational Biology 14(5): 594-614 (2007) |
| 2006 |
| 12 |  | Justin Zobel,
Yaniv Bernstein:
The Case of the Duplicate Documents Measurement, Search, and Science.
APWeb 2006: 26-39 |
| 11 |  | Yaniv Bernstein,
Michael Cameron:
Fast Discovery of Similar Sequences in Large Genomic Collections.
ECIR 2006: 432-443 |
| 10 |  | Michael Cameron,
Yaniv Bernstein,
Hugh E. Williams:
Clustering Near-Identical Sequences for Fast Homology Search.
RECOMB 2006: 175-189 |
| 9 |  | Yaniv Bernstein,
Milad Shokouhi,
Justin Zobel:
Compact Features for Detection of Near-Duplicates in Distributed Retrieval.
SPIRE 2006: 110-121 |
| 8 |  | Yaniv Bernstein,
Justin Zobel:
Accurate discovery of co-derivative documents via duplicate text detection.
Inf. Syst. 31(7): 595-609 (2006) |
| 2005 |
| 7 |  | Donald Metzler,
Yaniv Bernstein,
W. Bruce Croft,
Alistair Moffat,
Justin Zobel:
Similarity measures for tracking information flow.
CIKM 2005: 517-524 |
| 6 |  | Yaniv Bernstein,
Justin Zobel:
Redundant documents and search effectiveness.
CIKM 2005: 736-743 |
| 5 |  | Donald Metzler,
Yaniv Bernstein,
W. Bruce Croft,
Alistair Moffat,
Justin Zobel:
The recap system for identifying information flow.
SIGIR 2005: 678 |
| 4 |  | Yaniv Bernstein,
Bodo Billerbeck,
Steven Garcia,
Nicholas Lester,
Falk Scholer,
Justin Zobel,
William Webber:
RMIT University at TREC 2005: Terabyte and Robust Track.
TREC 2005 |
| 2004 |
| 3 |  | Yaniv Bernstein,
Xiaodong Li,
Victor Ciesielski,
Andy Song:
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement.
GECCO (2) 2004: 702-703 |
| 2 |  | Yaniv Bernstein,
Justin Zobel:
A Scalable System for Identifying Co-derivative Documents.
SPIRE 2004: 55-67 |
| 2003 |
| 1 |  | Yaniv Bernstein,
Xiaodong Li:
Critical dynamics in evolutionary algorithms.
IEEE Congress on Evolutionary Computation (1) 2003: 427-434 |