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 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.
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. 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.
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.
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.
Pål Sætrom and Magnus Lie Hetland. Multiobjective Evolution of Temporal Rules. In Proc. 8th Scandinavian Conf. on Artificial Intelligence, SCAI, IOS Press, 2003.
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.
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. 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. Evolutionary Rule Mining in Time Series Databases. In Machine Learning, 58(2). Kluwer Academic Publishers, 2005.
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. Practical Python (648 p). Apress, 2002.
Magnus Lie Hetland. Beginning Python (604 p). Apress, 2005.
I’ve been a reviewer for the following publications:
Proc. 19th ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications, OOPSLA, ACM 2004.
Machine Learning, 58(2), Kluwer Academic Publishers, 2005.
Proc. Int. Conf. on Machine Learning and Data Mining, MLDM, Springer-Verlag, 2005.
Proc. Int. Conf. of Computational Intelligence and Multimedia Applications, ICCIMA, IEEE CS Press, 2005.
Proc. Scandinavian Conference on Artificial Intelligence, SCAI, 2006. (Program committee member.)
IEEE Trans. on Pattern Analysis and Machine Intelligence, TPAMI, 2006.
Proc. Norwegian Informatics Conference, NIK, 2004, 2006, 2007.
Software: Practice and Experience, Wiley InterScience, 2006.
Proc. of the IASTED International Conference on Artificial Intelligence and Applications, AIA, 2007.
Proc. Scandinavian Conference on Artificial Intelligence, SCAI, 2008. (Program committee member.)