Niklas Lavesson

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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-MartínMachine Learning Engineer at SpotifyVerified email at spotify.com
Raja Khurram ShahzadVerified email at khurram.com.pk
Florian WestphalAssistant Professor, Jönköping UniversityVerified email at ju.se
Martin BoldtAssociate professor, Computer science, Blekinge Institute of TechnologyVerified email at bth.se
Shahrooz AbghariPh.D. in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Anton BorgBlekinge Institute of TechnologyVerified email at bth.se
Shyhtsun Felix WuUniversity of California, DavisVerified email at cs.ucdavis.edu
Andreas JacobssonAssociate Professor in Computer Science @ Malmö UniversityVerified email at mah.se
Marie PerssonLecturer in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Emiliano CasalicchioSapienza University of Rome - Computer Science Dep.Verified email at uniroma1.it
Hiva AlahyariChalmers/Göteborg UniversityVerified email at chalmers.se
Dirk VanhoudtVITOVerified email at vito.be
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Jeff RoweUC DavisVerified email at ucdavis.edu
Amir YavariabdiAssistant ProfessorVerified email at karatay.edu.tr
Johan HallCTO Arkiv Digital AD ABVerified email at kronohill.se
Marco BertoniProfessor, Product Development Research Lab, Blekinge Institute of TechnologyVerified email at bth.se

Niklas Lavesson

Professor of Software Engineering - Applied AI/ML at Blekinge Institute of Technology

Verified email at bth.se - Homepage

AI Transformation Machine Learning Software Engineering


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	94	2006
User-oriented assessment of classification model understandability H Allahyari, N Lavesson 11th Scandinavian Conference on Artificial intelligence, 11-19, 2011	80	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	70	2013
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	68	2016
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	60	2011
Document image binarization using recurrent neural networks F Westphal, N Lavesson, H Grahn 2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018	52	2018
Comparative analysis of voting schemes for ensemble-based malware detection RK Shahzad, N Lavesson Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable …, 2013	52	2013
Learning to detect spyware using end user license agreements N Lavesson, M Boldt, P Davidsson, A Jacobsson Knowledge and Information Systems 26, 285-307, 2011	52	2011
Detection of spyware by mining executable files RK Shahzad, SI Haider, N Lavesson 2010 International Conference on Availability, Reliability and Security, 295-302, 2010	52	2010
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	51	2014
DIGITNET: A deep handwritten digit detection and recognition method using a new historical handwritten digit dataset H Kusetogullari, A Yavariabdi, J Hall, N Lavesson Big Data Research 23, 100182, 2021	44	2021
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	41	2015
Accurate adware detection using opcode sequence extraction RK Shahzad, N Lavesson, H Johnson 2011 Sixth International Conference on Availability, Reliability and …, 2011	39	2011
Detecting Scareware by Mining Variable Length Instruction Sequences RK Shahzad, N Lavesson Tenth Annual Information Security South Africa Conference, 2011	34	2011
Evaluating learning algorithms and classifiers N Lavesson, P Davidsson International Journal of Intelligent Information and Database Systems 1 (1 …, 2007	34	2007
Learning machine learning: A case study N Lavesson IEEE Transactions on Education 53 (4), 672-676, 2010	31	2010
Veto-based malware detection RK Shahzad, N Lavesson 2012 Seventh International Conference on Availability, Reliability and …, 2012	26	2012
Evaluation and analysis of supervised learning algorithms and classifiers N Lavesson Blekinge Institute of Technology, 2006	26	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	25	2016
On the concept of trust in online social networks H Johnson, N Lavesson, H Zhao, SF Wu Trustworthy internet, 143-157, 2011	24	2011

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