I’m an associate professor in computer science at the Norwegian university of science and technology (NTNU). Currently, my research interest lies in similarity search and metric indexing.
Magnus Lie Hetland. Ptolemaic Indexing. arXiv:0911.4384 [cs.DS].
Magnus Lie Hetland. The Basic Principles of Metric Indexing. In Carlos A. Coello Coello, Satchidananda Dehuri and Susmita Ghosh, editors, Swarm Intelligence for Multi-objective Problems in Data Mining, Springer-Verlag, 2009. (Version with notes inline. The original publication is available at www.springerlink.com.)
Will Archer Arentz, Magnus Lie Hetland and Bjørn Olstad. Methods for retrieving musical information based on rhythm and pitch correlations. In Journal of New Music Research 34(2), 2005.
Magnus Lie Hetland and Pål Sætrom. Evolutionary Rule Mining in Time Series Databases. In Machine Learning, 58(2). Kluwer Academic Publishers, 2005.
Magnus Lie Hetland. A survey of recent methods for efficient retrieval of similar time sequences. In Mark Last, Abraham Kandel, and Horst Bunke, editors, Data Mining in Time Series Databases. World Scientific, 2004.
Magnus Lie Hetland and Pål Sætrom. Temporal rule discovery using genetic programming and specialized hardware. In Ahmad Lotfi, Jonathon M. Garibaldi, editors, Applications and Science in Soft Computing, Springer-Verlag, 2004.
Magnus Lie Hetland and Pål Sætrom. A Comparison of Hardware and Software in Sequence Rule Evolution. In Proc. 8th Scandinavian Conf. on Artificial Intelligence, SCAI, IOS Press, 2003.
Pål Sætrom and Magnus Lie Hetland. Multiobjective Evolution of Temporal Rules. In Proc. 8th Scandinavian Conf. on Artificial Intelligence, SCAI, IOS Press, 2003.
Amund Tveit, Magnus Lie Hetland and Håvard Engum. Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients. In Proc. 5th Int. Conf. on Data Warehousing and Knowledge Discovery, DaWaK, Springer-Verlag, 2003.
Amund Tveit and Magnus Lie Hetland. Multicategory Incremental Proximal Support Vector Classifiers. In Proc. 7th Int. Conf. on Knowledge-Based Intelligent Information & Engineering Systems, KES, Springer-Verlag, 2003.
Magnus Lie Hetland and Pål Sætrom. The Role of Discretization Parameters in Sequence Rule Evolution. In Proc. 7th Int. Conf. on Knowledge-Based Intelligent Information & Engineering Systems, KES, Springer-Verlag, 2003.
Pål Sætrom and Magnus Lie Hetland. Unsupervised Temporal Rule Mining with Genetic Programming and Specialized Hardware. In Proc. 2003 Int. Conf. on Machine Learning and Applications, ICMLA, Association for Machine Learning and Applications, 2003.
Magnus Lie Hetland and Pål Sætrom. Temporal rule discovery using genetic programming and specialized hardware. In Proc. 4th Int. Conf. on Recent Advances in Soft Computing, RASC, 2002.
Magnus Lie Hetland. Beginning Python, 2nd ed (656 p). Apress, 2008.
Magnus Lie Hetland. Beginning Python (604 p). Apress, 2005.
Magnus Lie Hetland. Practical Python (648 p). Apress, 2002.
Appearance on Newton, a popular science show for children on NRK (Jan 10, 2010), explaining how search engines work. (Dept. news story)
The Teacher of the Year award at the Faculty of Information Technology, Mathematics and Electrical Engineering, NTNU, 2009.
I’ve been a reviewer for the following publications and conferences:
Proc. Norwegian Informatics Conference, NIK, 2004, 2006, 2007, 2008, 2009.
Proc. Scandinavian Conference on Artificial Intelligence, SCAI, 2006, 2008. (Program committee member.)
Proc. of the IASTED International Conference on Artificial Intelligence and Applications, AIA, 2007.
Software: Practice and Experience, Wiley InterScience, 2006.
IEEE Trans. on Pattern Analysis and Machine Intelligence, TPAMI, 2006.
Proc. Int. Conf. of Computational Intelligence and Multimedia Applications, ICCIMA, IEEE CS Press, 2005.
Proc. Int. Conf. on Machine Learning and Data Mining, MLDM, Springer-Verlag, 2005.
Machine Learning, 58(2), Kluwer Academic Publishers, 2005.
Proc. 19th ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications, OOPSLA, ACM 2004.