| 2006 |
|---|
| 8 | EE | Tong Zhang,
Alexandrin Popescul,
Byron Dom:
Linear prediction models with graph regularization for web-page categorization.
KDD 2006: 821-826 |
| 2005 |
|---|
| 7 | EE | Andrew I. Schein,
Alexandrin Popescul,
Lyle H. Ungar,
David M. Pennock:
CROC: A New Evaluation Criterion for Recommender Systems.
Electronic Commerce Research 5(1): 51-74 (2005) |
| 2004 |
|---|
| 6 | EE | Alexandrin Popescul,
Lyle H. Ungar:
Cluster-based concept invention for statistical relational learning.
KDD 2004: 665-670 |
| 2003 |
|---|
| 5 | EE | Alexandrin Popescul,
Lyle H. Ungar,
Steve Lawrence,
David M. Pennock:
Statistical Relational Learning for Document Mining.
ICDM 2003: 275-282 |
| 4 | | Dmitry Pavlov,
Alexandrin Popescul,
David M. Pennock,
Lyle H. Ungar:
Mixtures of Conditional Maximum Entropy Models.
ICML 2003: 584-591 |
| 2002 |
|---|
| 3 | EE | Andrew I. Schein,
Alexandrin Popescul,
Lyle H. Ungar,
David M. Pennock:
Methods and metrics for cold-start recommendations.
SIGIR 2002: 253-260 |
| 2001 |
|---|
| 2 | EE | Alexandrin Popescul,
Lyle H. Ungar,
David M. Pennock,
Steve Lawrence:
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments.
UAI 2001: 437-444 |
| 2000 |
|---|
| 1 | EE | Alexandrin Popescul,
Gary William Flake,
Steve Lawrence,
Lyle H. Ungar,
C. Lee Giles:
Clustering and Identifying Temporal Trends in Document Databases.
ADL 2000: 173-182 |
