Alexander K. Seewald

Alexander K. Seewald: Automatic Extraction of Go Game Positions from Images: a Multi-Strategical Approach to Constrained Multi-Object Recognition. Applied Artificial Intelligence 24(3): 233-252 (2010)

Alexander K. Seewald, Wilfried N. Gansterer: On the detection and identification of botnets. Computers & Security 29(1): 45-58 (2010)

Alexander K. Seewald: Towards Autmating Malware Classification and Characterization. Sicherheit 2008: 291-302

Alexander K. Seewald, Florian Kleedorfer: Lambda pruning: an approximation of the string subsequence kernel for practical SVM classification and redundancy clustering. Adv. Data Analysis and Classification 1(3): 221-239 (2007)

Alexander K. Seewald: An evaluation of Naive Bayes variants in content-based learning for spam filtering. Intell. Data Anal. 11(5): 497-524 (2007)

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)

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)

Alexander K. Seewald: Book Review: Mobile Robotics - A Practical Introduction, 2nd Edition, By Ulrich Nehmzow. Applied Artificial Intelligence 18(5): 467- (2004)

Alexander K. Seewald: Ranking for Medical Annotation: Investigating Performance, Local Search and Homonymy Recognition. KELSI 2004: 109-123

Alexander K. Seewald: Towards a Theoretical Framework for Ensemble Classification. IJCAI 2003: 1443-1444

Alexander K. Seewald: Exploring the Parameter State Space of Stacking. ICDM 2002: 685-688

Alexander K. Seewald: How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness. ICML 2002: 554-561

Alexander K. Seewald, Johann Petrak, Gerhard Widmer: Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study. FLAIRS Conference 2001: 407-411

Alexander K. Seewald: Entertainment Robots - Myth or Reality. FLAIRS Conference 2001: 504-508

Alexander K. Seewald, Johannes Fürnkranz: An Evaluation of Grading Classifiers. IDA 2001: 115-124