Niklas Lavesson

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	All	Since 2015
Citations	914	626
h-index	17	14
i10-index	31	23

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Håkan GrahnProfessor of Computer Engineering, Blekinge Institute of Technology, SwedenVerified email at bth.se
Paul DavidssonProfessor of Computer Science, Malmö University, SwedenVerified email at mau.se
Veselka BoevaProfessor of Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Eva García-MartínPhD in Machine Learning. Data Scientist at Ekkono SolutionsVerified email at ekkono.ai
Raja Khurram ShahzadVerified email at khurram.com.pk
Martin BoldtAssociate professor, Blekinge Institute of Technology, SwedenVerified email at bth.se
Shahrooz AbghariPhD student in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Florian WestphalPhD Student in Computer Systems Engineering, Blekinge Institute of TechnologyVerified email at bth.se
Anton BorgBlekinge Institute of TechnologyVerified email at bth.se
Andreas JacobssonAssociate Professor in Computer Science @ Malmö UniversityVerified email at mah.se
Shyhtsun Felix WuUniversity of California, DavisVerified email at cs.ucdavis.edu
Marie PerssonLecturer in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Hiva AlahyariChalmers/Göteborg UniversityVerified email at chalmers.se
Emiliano CasalicchioSapienza University of Rome - Computer Science Dep.Verified email at uniroma1.it
Marco BertoniProfessor, Product Development Research Lab, Blekinge Institute of TechnologyVerified email at bth.se
Ola IsakssonFull Professor in Product Development, ChalmersVerified email at chalmers.se
Sophie I.HallstedtProfessor, Blekinge Institute of Technology, SwedenVerified email at bth.se
Dirk VanhoudtVITOVerified email at vito.be
Jeff RoweUC DavisVerified email at ucdavis.edu
Mina DoroudLinkedIn, incVerified email at linkedin.com

Niklas Lavesson

Professor of Computer Science, School of Engineering, Jönköping University

Verified email at ju.se - Homepage

Machine Learning Data Mining Data Science Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Quantifying the impact of learning algorithm parameter tuning N Lavesson, P Davidsson AAAI 6, 395-400, 2006	60	2006
User-oriented assessment of classification model understandability H Allahyari, N Lavesson 11th Scandinavian Conference on Artificial intelligence, 11-19, 2011	59	2011
CudaRF: a CUDA-based implementation of random forests H Grahn, N Lavesson, MH Lapajne, D Slat 2011 9th IEEE/ACS International Conference on Computer Systems and …, 2011	50	2011
Open data for anomaly detection in maritime surveillance S Kazemi, S Abghari, N Lavesson, H Johnson, P Ryman Expert Systems with Applications 40 (14), 5719-5729, 2013	49	2013
Learning to detect spyware using end user license agreements N Lavesson, M Boldt, P Davidsson, A Jacobsson Knowledge and Information Systems 26 (2), 285-307, 2011	43	2011
Detecting serial residential burglaries using clustering A Borg, M Boldt, N Lavesson, U Melander, V Boeva Expert Systems with Applications 41 (11), 5252-5266, 2014	38	2014
Detection of spyware by mining executable files RK Shahzad, SI Haider, N Lavesson 2010 International Conference on Availability, Reliability and Security, 295-302, 2010	32	2010
Operational Demand Forecasting in District Heating Systems using Ensembles of Online Machine Learning Algorithms C Johansson, M Bergkvist, D Geysen, N Lavesson, D Vanhoudt International Symposium on District Heating and Cooling, 2016	29	2016
Model based decision support for value and sustainability in product development O Isaksson, M Bertoni, S Hallstedt, N Lavesson 20th International Conference on Engineering Design (ICED), Milan, 2015	29	2015
Comparative analysis of voting schemes for ensemble-based malware detection RK Shahzad, N Lavesson Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable …, 2013	28	2013
Evaluating learning algorithms and classifiers N Lavesson, P Davidsson International Journal of Intelligent Information and Database Systems 1 (1 …, 2007	26	2007
Document image binarization using recurrent neural networks F Westphal, N Lavesson, H Grahn 2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018	25	2018
Veto-based malware detection RK Shahzad, N Lavesson 2012 Seventh International Conference on Availability, Reliability and …, 2012	23	2012
Accurate adware detection using opcode sequence extraction RK Shahzad, N Lavesson, H Johnson 2011 Sixth International Conference on Availability, Reliability and …, 2011	23	2011
Detecting Scareware by Mining Variable Length Instruction Sequences RK Shahzad, N Lavesson Tenth Annual Information Security South Africa Conference, 2011	21	2011
Evaluation and analysis of supervised learning algorithms and classifiers N Lavesson Blekinge Institute of Technology, 2006	21	2006
Hashtags and followers: An experimental study of the online social network Twitter E García Martín, N Lavesson, M Doroud Social Network Analysis and Mining 6 (12), 2016	17	2016
On the concept of trust in online social networks H Johnson, N Lavesson, H Zhao, SF Wu Trustworthy internet, 143-157, 2011	17	2011
Learning machine learning: a case study N Lavesson IEEE Transactions on Education 53 (4), 672-676, 2010	17	2010
Generic methods for multi-criteria evaluation N Lavesson, P Davidsson Proceedings of the 2008 SIAM International Conference on Data Mining, 541-546, 2008	17	2008

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