Thorsteinn Rognvaldsson

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Stefan ByttnerProfessor in Information Technology, Halmstad UniversityVerified email at hh.se
Slawomir NowaczykProfessor, Center for Applied Intelligent Systems Research, Halmstad UniversityVerified email at hh.se
Carsten PetersonProfessor, Computational Biology, Theoretical Physics, Lund UniversityVerified email at thep.lu.se
Leif LönnbladProfessor in Theoretical Physics, Lund UniversityVerified email at thep.lu.se
Rune PrytzHead of Research at Stratio AutomotiveVerified email at stratioautomotive.com
Yuantao FanHalmstad UniversityVerified email at hh.se
Liwen YouAWSVerified email at amazon.com
Nicholas WickströmAssociate Professor of Computer systems Engineering, Halmstad UniversityVerified email at hh.se
Mattias OhlssonProfessor, Computational Biology and Biological Physics, Lund University, SwedenVerified email at cec.lu.se
Fredrik LevanderLund UniversityVerified email at immun.lth.se
Henrik AndreassonAASS, Orebro Univeristy, SwedenVerified email at oru.se
Bo SöderbergAss. prof., Lund University (ret.)Verified email at thep.lu.se
Eric A. AntoneloProfessor, Federal University of Santa CatarinaVerified email at ufsc.br
Achim J. LilienthalProfessor of Computer Science at Technical University of Munich and Örebro UniversityVerified email at oru.se
Daniel DaleviCentiro Solutions ABVerified email at centiro.com
Kenneth NilssonSenior Lecturer of Electrical Engineering, Halmstad UniversityVerified email at hh.se
Mona EklundProfessor of occupational therapyVerified email at med.lu.se
Lena-Karin ErlandssonProfessor i arbetsterapi, Högskolan HalmstadVerified email at hh.se
Iulian CarpatoreaVerified email at volvo.com
Jari HäkkinenDepartment of Oncology and Pathology, Clinical Sciences, Lund University, SwedenVerified email at med.lu.se

Thorsteinn Rognvaldsson

Professor of Computer Science, Halmstad University

Verified email at hh.se - Homepage

Artificial Intelligence Machine Learning Bioinformatics Data Mining


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JETNET 3.0—A versatile artificial neural network package C Peterson, T Rögnvaldsson, L Lönnblad Computer Physics Communications 81 (1-2), 185-220, 1994	509	1994
JETNET 3.0—A versatile artificial neural network package C Peterson, T Rögnvaldsson, L Lönnblad Computer Physics Communications 81 (1-2), 185-220, 1994	509	1994
Using neural networks to identify jets L Lönnblad, C Peterson, T Rögnvaldsson Nuclear Physics B 349 (3), 675-702, 1991	188	1991
Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data R Prytz, S Nowaczyk, T Rögnvaldsson, S Byttner Engineering applications of artificial intelligence 41, 139-150, 2015	166	2015
Pattern recognition in high energy physics with artificial neural networks—JETNET 2.0 L Lönnblad, C Peterson, T Rögnvalsson Computer Physics Communications 70 (1), 167-182, 1992	157	1992
Finding gluon jets with a neural trigger L Lönnblad, C Peterson, T Rögnvaldsson Physical review letters 65 (11), 1321, 1990	145	1990
An introduction to artificial neural networks C Peterson, TS Rögnvaldsson CERN, 1991	107	1991
Why neural networks should not be used for HIV-1 protease cleavage site prediction T Rögnvaldsson, L You Bioinformatics 20 (11), 1702-1709, 2004	103	2004
Modular, scriptable and automated analysis tools for high-throughput peptide mass fingerprinting J Samuelsson, D Dalevi, F Levander, T Rögnvaldsson Bioinformatics 20 (18), 3628-3635, 2004	99	2004
Comprehensive bioinformatic analysis of the specificity of human immunodeficiency virus type 1 protease L You, D Garwicz, T Rognvaldsson Journal of virology 79 (19), 12477-12486, 2005	78	2005
Predicting System Loads with Artificial Neural Networks--Methods and Results from" The Great Energy Predictor Shootout" MBO Ohlsson, CO Peterson, H Pi, TS Rognvaldsson, BPW Soderberg ASHRAE Transactions-American Society of Heating Refrigerating …, 1994	78	1994
Predicting System Loads with Artificial Neural Networks--Methods and Results from" The Great Energy Predictor Shootout" MBO Ohlsson, CO Peterson, H Pi, TS Rognvaldsson, BPW Soderberg ASHRAE Transactions-American Society of Heating Refrigerating …, 1994	78	1994
Transfer learning for remaining useful life prediction based on consensus self-organizing models Y Fan, S Nowaczyk, T Rögnvaldsson Reliability Engineering & System Safety 203, 107098, 2020	76	2020
On Langevin updating in multilayer perceptrons T Rögnvaldsson Neural computation 6 (5), 916-926, 1994	72	1994
Smoothing regularizers for projective basis function networks J Moody, T Rögnvaldsson Advances in neural information processing systems 9, 1996	66	1996
Consensus self-organized models for fault detection (COSMO) S Byttner, T Rögnvaldsson, M Svensson Engineering applications of artificial intelligence 24 (5), 833-839, 2011	63	2011
Spark advance control using the ion current and neural soft sensors M Hellring, T Munther, T Rögnvaldsson, N Wickström, C Carlsson, ... SAE transactions, 1590-1595, 1999	54	1999
State of the art prediction of HIV-1 protease cleavage sites T Rögnvaldsson, L You, D Garwicz Bioinformatics 31 (8), 1204-1210, 2015	52	2015
Automated methods for improved protein identification by peptide mass fingerprinting F Levander, T Rögnvaldsson, J Samuelsson, P James Proteomics 4 (9), 2594-2601, 2004	51	2004
Robust AFR estimation using the ion current and neural networks M Hellring, T Munther, T Rögnvaldsson, N Wickström, C Carlsson, ... SAE transactions, 1585-1589, 1999	45	1999

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