Niklas Lavesson - Google Scholar Citations

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	All	Since 2015
Citations	796	511
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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-MartínPh.D student in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
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
Anton BorgBlekinge Institute of TechnologyVerified email at bth.se
Florian WestphalPhD Student in Computer Systems Engineering, Blekinge 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
Jeff RoweUC DavisVerified email at ucdavis.edu
Marco BertoniAssociate Professor (PhD), 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.HallstedtAssociate Professor, Blekinge Institute of Technology, SwedenVerified email at bth.se
Dirk VanhoudtVITOVerified email at vito.be
Haifeng (Kevin) ZhaoUniversity of California DavisVerified email at ucdavis.edu
Mina DoroudUniversity of California, DavisVerified email at ucdavis.edu

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	Cited by	Year
User-oriented assessment of classification model understandability H Allahyari, N Lavesson 11th scandinavian conference on Artificial intelligence, 2011	54	2011
Quantifying the impact of learning algorithm parameter tuning N Lavesson, P Davidsson AAAI 6, 395-400, 2006	52	2006
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	44	2013
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	44	2011
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	41	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	34	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	31	2010
Evaluating learning algorithms and classifiers N Lavesson, P Davidsson International Journal of Intelligent Information and Database Systems 1 (1 …, 2007	24	2007
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	23	2015
Veto-based malware detection RK Shahzad, N Lavesson 2012 Seventh International Conference on Availability, Reliability and …, 2012	22	2012
Accurate adware detection using opcode sequence extraction RK Shahzad, N Lavesson, H Johnson 2011 Sixth International Conference on Availability, Reliability and …, 2011	21	2011
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	20	2016
Comparative analysis of voting schemes for ensemble-based malware detection RK Shahzad, N Lavesson Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable …, 2013	20	2013
Detecting Scareware by Mining Variable Length Instruction Sequences RK Shahzad, N Lavesson Tenth Annual Information Security South Africa Conference, 2011	19	2011
Evaluation and analysis of supervised learning algorithms and classifiers N Lavesson Blekinge Institute of Technology, 2006	19	2006
Document image binarization using recurrent neural networks F Westphal, N Lavesson, H Grahn 2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018	17	2018
On the concept of trust in online social networks H Johnson, N Lavesson, H Zhao, SF Wu Trustworthy internet, 143-157, 2011	15	2011
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	14	2016
Predicting friendship intensity in online social networks W Ahmad, A Riaz, H Johnson, N Lavesson 21st International Tyrrhenian Workshop on Digital Communications, 2010	14	2010
Learning machine learning: a case study N Lavesson IEEE Transactions on Education 53 (4), 672-676, 2010	14	2010

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