Temporal Data Mining Using Shape Space Representations of Time Series

E. Fuchs, T. Gruber, H. Pree, B. Sick; Temporal Data Mining Using Shape Space Representations of Time Series; in: Neurocomputing; (accepted)


SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis

D. Fisch, T. Gruber, B. Sick; SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis; in: IEEE Transactions on Knowledge and Data Engineering; (accepted)


Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations

E. Fuchs, T. Gruber, J. Nitschke, B. Sick; Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations; in: IEEE Transactions on Pattern Analysis and Machine Intelligence; vol. 32; no. 12; pp. 2232-2245; 2010


On-Line Intrusion Alert Aggregation With Generative Data Stream Modeling

A. Hofmann, B. Sick; On-Line Intrusion Alert Aggregation With Generative Data Stream Modeling; in: IEEE Transactions on Dependable and Secure Computing; (accepted)


So Near And Yet So Far: New Insight Into Properties Of Some Well-Known Classifier Paradigms

D. Fisch, B. Kühbeck, B. Sick, S. J. Ovaska; So Near And Yet So Far: New Insight Into Properties Of Some Well-Known Classifier Paradigms; in: Information Sciences; vol. 180, no. 18, pp. 3381-3401; 2010


Online Signature Verification with Support Vector Machines Based on LCSS Kernel Functions

C. Gruber, T. Gruber, S. Krinninger, B. Sick; Online Signature Verification with Support Vector Machines Based on LCSS Kernel Functions; in: IEEE Transactions on Systems, Man, and Cybernetics – Part B (Cybernetics); vol. 40, no. 4, pp. 1088-1100; 2010


On the Versatility of Radial Basis Function Neural Networks: A Case Study in the Field of Intrusion Detection

D. Fisch, A. Hofmann, B. Sick; On the Versatility of Radial Basis Function Neural Networks: A Case Study in the Field of Intrusion Detection; in: Information Sciences; vol. 180, no. 12, pp. 2421-2439; 2010


Periodical Switching Between Related Goals for Improving Evolvability to a Fixed Goal in Multi-Objective Problems

S. J. Ovaska, B. Sick, A. H. Wright; Periodical Switching Between Related Goals for Improving Evolvability to a Fixed Goal in Multi-Objective Problems; in: Information Sciences; vol. 179, no. 23, pp. 4046-4056; 2009


On-line Motif Detection in Time Series With SwiftMotif

E. Fuchs, T. Gruber, J. Nitschke, B. Sick; On-line Motif Detection in Time Series With SwiftMotif; in: Pattern Recognition; vol. 42, no. 11, pp. 3015-3031; 2009


Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks

E. Fuchs, C. Gruber, T. Reitmaier, B. Sick; Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks; in: IEEE Transactions on Neural Networks; vol. 20, no. 9, pp. 1450-1462; 2009