Alexander K. Seewald

发表

Towards a theoretical framework for ensemble classification

Alexander K. Seewald, A. Seewald, 2003, IJCAI 2003.

Automated detection, quantification and characterization of osteoclasts in cultures using a combined image-processing and machine-learning strategy

Alexander K. Seewald, Isabella Ellinger, Andreas Heindl, 2011 .

On the Brittleness of Handwritten Digit Recognition Models

Alexander K. Seewald, A. Seewald, 2012 .

Lambda pruning: an approximation of the string subsequence kernel for practical SVM classification and redundancy clustering

Alexander K. Seewald, Florian Kleedorfer, A. Seewald, 2007, Adv. Data Anal. Classif..

A New Approach for Outlier Detection in Near Real Time

Alexander K. Seewald, Reinhold Behringer, Colin Pattinson, 2010, 2010 Fourth UKSim European Symposium on Computer Modeling and Simulation.

Exploring the parameter state space of stacking

Alexander K. Seewald, A. Seewald, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Towards the Automated Detection and Characterization of Osteoclasts in Microscopic Images

Alexander K. Seewald, Isabella Ellinger, Andreas Heindl, 2012 .

GPSDB: a new database for synonyms expansion of gene and protein names

Alexander K. Seewald, Anne-Lise Veuthey, Johann Petrak, 2005, Bioinform..

Towards Autmating Malware Classification and Characterization

Alexander K. Seewald, 2008, Sicherheit.

BOOK REVIEW: MOBILE ROBOTICS - A PRACTICAL INTRODUCTION, 2ND EDITION, BY ULRICH NEHMZOW

Alexander K. Seewald, 2004, Appl. Artif. Intell..

How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness

Alexander K. Seewald, A. Seewald, 2002, International Conference on Machine Learning.

An Evaluation of Grading Classifiers

Johannes Fürnkranz, Alexander K. Seewald, Johannes Fürnkranz, 2001, IDA.

EVALUATION OF TERM UTILITY FUNCTIONS FOR VERY SHORT MULTIDOCUMENT SUMMARIES

Alexander K. Seewald, Gerhard Widmer, Christian Holzbaur, 2006, Appl. Artif. Intell..

On the detection and identification of botnets

Wilfried N. Gansterer, Alexander K. Seewald, 2010, Comput. Secur..

An evaluation of Naive Bayes variants in content-based learning for spam filtering

Alexander K. Seewald, A. Seewald, 2007, Intell. Data Anal..

AUTOMATIC EXTRACTION OF GO GAME POSITIONS FROM IMAGES: A MULTI-STRATEGICAL APPROACH TO CONSTRAINED MULTI-OBJECT RECOGNITION

Alexander K. Seewald, A. Seewald, 2010, Appl. Artif. Intell..

Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study

Alexander K. Seewald, Gerhard Widmer, Johann Petrak, 2001, FLAIRS Conference.

Ranking for Medical Annotation: Investigating Performance, Local Search and Homonymy Recognition

Alexander K. Seewald, 2004, KELSI.

Entertainment Robots - Myth or Reality

Alexander K. Seewald, 2001, FLAIRS Conference.

Dancing Guide: Near Realtime Audio Classification of Live Dance Music on Smartphones

Alexander K. Seewald, 2021, ICAART.

Cycle4Value: A Blockchain-based Reward System to Promote Cycling and Reduce CO2 Footprint

Alexander K. Seewald, Alexander Pfeiffer, Thomas Wernbacher, 2021, ICAART.

Digits-A Dataset for Handwritten Digit Recognition

Alexander K. Seewald, .

Meta-Learning for StackedClassification

Alexander K. Seewald, A. Seewald, 2002 .

Ranking for BioMinT : Investigating Performance , Local Search and Homonymy Recognition

Alexander K. Seewald, 2004 .