Sebastian Luehr

Publications

Published Jan 1, 2020 by Sebastian Luehr in Publications at https://quasispace.org/publications/

Articles and papers; remnants from a past life.

Peer reviewed

  • S. Lühr and M. Lazarescu (2009) Incremental Clustering of Dynamic Data Streams Using Connectivity Based Representative Points . Data and Knowledge Engineering, 68(1):1–27.

  • S. Lühr and M. Lazarescu (2008) Connectivity Based Stream Clustering Using Localised Density Exemplars . Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining, volume 5012 of Lecture Notes in Artificial Intelligence, pp. 983–984.

  • S. Lühr and M. Lazarescu (2007) A Visual Data Analysis Tool for Sport Player Performance Benchmarking, Comparison and Change Detection . IEEE Int’l Conf. Tools with Artificial Intelligence, pp. 289–297.

  • S. Lühr, G. West and S. Venkatesh (2007) Recognition of Emergent Human Behaviour in a Smart Home: A Data Mining Approach . Pervasive and Mobile Computing, 3(2):95–116.

  • S. Lühr, S. Venkatesh and G. West (2005) Emergent Intertransaction Association Rules for Abnormality Detection in Intelligent Environments . Proc. Int’l Conf. Intelligent Sensors, Sensor Networks and Information Processing, pp. 343–347.

  • S. Lühr, S. Venkatesh, G. West and H. H. Bui (2004) Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity . Proc. 8th Pacific Rim Int’l Conf. Artificial Intelligence, volume 3157 of Lecture Notes in Artificial Intelligence, pp. 983–984.

  • S. Lühr, H. H. Bui, S. Venkatesh and G. West (2003) Recognition of Human Activity Through Hierarchical Stochastic Learning . IEEE Int’l Conf. Pervasive Computing and Communications, pp. 416–423.

Technical reports

  • S. Lühr, G. West and S. Venkatesh (2005) An Extended Frequent Pattern Tree for Intertransaction Association Rule Mining . Institute for Multi-Sensor Processing and Content Analysis, Department of Computing, Curtin University. Technical report 2005/1.

  • S. Lühr, G. West and S. Venkatesh and H. H. Bui (2004) Duration Abnormality Detection in Sequences of Human Activity . Institute for Multi-Sensor Processing and Content Analysis, Department of Computing, Curtin University. Technical report 2004/2.

Thesis

  • S. Lühr (2006) Techniques for the Discovery of Anomalous Human Behaviour in Intelligent Environments . PhD thesis, Curtin University.

Sebastian

Sebastian Luehr is a software engineering lead with hands on experience developing applications for the web and mobile, and safety critical systems.

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© 2020 Sebastian Luehr