| 2008 |
|---|
| 12 | | Alexander K. Seewald:
Towards Autmating Malware Classification and Characterization.
Sicherheit 2008: 291-302 |
| 2007 |
|---|
| 11 | EE | Alexander K. Seewald:
An evaluation of Naive Bayes variants in content-based learning for spam filtering.
Intell. Data Anal. 11(5): 497-524 (2007) |
| 2006 |
|---|
| 10 | EE | Alexander K. Seewald,
Christian Holzbaur,
Gerhard Widmer:
Evaluation of term utility functions for very short multidocument summaries.
Applied Artificial Intelligence 20(1): 57-77 (2006) |
| 2005 |
|---|
| 9 | EE | Violaine Pillet,
Marc Zehnder,
Alexander K. Seewald,
Anne-Lise Veuthey,
Johann Petrak:
GPSDB: a new database for synonyms expansion of gene and protein names.
Bioinformatics 21(8): 1743-1744 (2005) |
| 2004 |
|---|
| 8 | EE | Alexander K. Seewald:
Ranking for Medical Annotation: Investigating Performance, Local Search and Homonymy Recognition.
KELSI 2004: 109-123 |
| 7 | EE | Alexander K. Seewald:
Book Review: Mobile Robotics - A Practical Introduction, 2nd Edition, By Ulrich Nehmzow.
Applied Artificial Intelligence 18(5): 467- (2004) |
| 2003 |
|---|
| 6 | | Alexander K. Seewald:
Towards a Theoretical Framework for Ensemble Classification.
IJCAI 2003: 1443-1444 |
| 2002 |
|---|
| 5 | EE | Alexander K. Seewald:
Exploring the Parameter State Space of Stacking.
ICDM 2002: 685-688 |
| 4 | | Alexander K. Seewald:
How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness.
ICML 2002: 554-561 |
| 2001 |
|---|
| 3 | | Alexander K. Seewald,
Johann Petrak,
Gerhard Widmer:
Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study.
FLAIRS Conference 2001: 407-411 |
| 2 | | Alexander K. Seewald:
Entertainment Robots - Myth or Reality.
FLAIRS Conference 2001: 504-508 |
| 1 | EE | Alexander K. Seewald,
Johannes Fürnkranz:
An Evaluation of Grading Classifiers.
IDA 2001: 115-124 |
