Genetic Programming Bibliography entries for Pal Saetrom
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
GP coauthors/coeditors:
Tony Handstad,
Arne Johan H Hestnes,
Magnus Lie Hetland,
Olga Matveeva,
Yury Nechipurenko,
Leo Rossi,
Barry Moore,
Aleksey Y Ogurtsov,
John F Atkins,
Svetlana A Shabalina,
Ola Saetrom,
Ola Snove Jr,
Ragnhild Sneve,
Knut Ivan Kristiansen,
Thomas Grunfeld,
Torbjorn Rognes,
Erling Seeberg,
Olaf Rene Birkeland,
Genetic Programming Articles by Pal Saetrom
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Tony Handstad and Arne J H Hestnes and Pal Saetrom.
Motif kernel generated by genetic programming improves remote homology and fold detection.
BMC Bioinformatics, 8(23) 2007.
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Olga Matveeva and Yury Nechipurenko and Leo Rossi and Barry Moore and Pal Saetrom and Aleksey Y. Ogurtsov and John F. Atkins and Svetlana A. Shabalina.
Comparison of approaches for rational siRNA design leading to a new efficient and transparent method.
Nucleic Acids Research, 35(8):e63, 2007.
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Pal Saetrom and Ragnhild Sneve and Knut I. Kristiansen and Ola Snove and Thomas Grunfeld and Torbjorn Rognes and Erling Seeberg.
Predicting non-coding RNA genes in Escherichia coli with boosted genetic programming.
Nucleic Acids Research, 33(10):3263-3270, 2005.
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Magnus Lie Hetland and Pal Saetrom.
Evolutionary Rule Mining in Time Series Databases.
Machine Learning, 58(2-3):107-125, 2005.
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Ola Saetrom and Ola Snove, Jr. and Pal Saetrom.
Weighted sequence motifs as an improved seeding step in microRNA target prediction algorithms.
RNA, 1(7):995-1003, 2005.
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Pal Saetrom.
Predicting the efficacy of short oligonucleotides in antisense and RNAi experiments with boosted genetic programming.
Bioinformatics, 20(17):3055-3063, 2004.
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Pal Saetrom and Ola Snove, Jr..
A comparison of siRNA efficacy predictors.
Biochemical and Biophysical Research Communications, 321(1):247-253, 2004.
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Genetic Programming PhD doctoral thesis Pal Saetrom
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Pal Saetrom.
Hardware accelerated genetic programming for pattern mining in strings. Dr.philos thesis ,
Faculty of Information Technology, Mathematics and Electrical Engineering Department of Computer and Information Science, Norwegian University of Science and Technology, NTNU, Norway, 2005?.
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Genetic Programming conference papers by Pal Saetrom
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Pal Saetrom and Magnus Lie Hetland.
Mining Interesting Temporal Rules with Genetic Programming and Specialized Hardware. In
M. Arif Wani and Krzysztof J. Cios and Khalid Hafeez editors,
Proceedings of the 2003 International Conference on Machine Learning and Applications - ICMLA 2003, pages 145-151, Los Angeles, California, USA, 2003. CSREA Press.
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Magnus Lie Hetland and Pal Saetrom.
Temporal Rule Discovery using Genetic Programming and Specialized Hardware. In
Ahmad Lotfi and Jon Garibaldi and Robert John editors,
Proceedings of the 4th International Conference on Recent Advances in Soft Computing, pages 182-188, Nottingham, United Kingdom, 2002. The Nottingham Trent University.
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Genetic Programming book chapters by Pal Saetrom
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Pal Saetrom and Ola Snove Jr..
Robust Machine Learning Algorithms Predict MicroRNA Genes and Targets. In
John J. Rossi and Gregory J. Hannon editors,
MicroRNA Methods, volume 427 of Methods in Enzymology, pages 25-49. Academic Press, 2007.
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Pal Saetrom and Olaf Rene Birkeland and Ola Snove Jr..
Boosting improves stability and accuracy of genetic programming in biological classification. In
Rick L. Riolo and Terence Soule and Bill Worzel editors,
Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, pages 61-78. Springer, Ann Arbor, 2006.
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