Niklas Lavesson

Niklas Lavesson

Professor

niklas.lavesson@bth.se

Department of Software Engineering, Room J2333

+46 (0) 455-385675

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Short Biography

Niklas Lavesson is Professor of Software Engineering with specialization Applied AI and Machine Learning at Software Engineering Research Laboratory (SERL), Blekinge Institute of Technology (BTH) since July 2021. Lavesson has a PhD in computer science with specialisation in machine learning from BTH (2008). His research interests within basic research are focused on explainable and interactive AI-systems. Within applied research, Lavesson is interested in how to 1) use AI and machine learning to make software engineering more efficient and effective, and 2) how to pose requirements for, develop, test, and maintain data-driven AI systems which are able to make themselves understood by humans and which can collaborate with humans to solve tasks together.

 

Projects & Publications

Selected publications
Niklas Lavesson, Martin Boldt, Paul Davidsson, Andreas Jacobsson. (2011). Learning to detect spyware using end user license agreements.
Hiva Allahyari, Niklas Lavesson. (2011). User-oriented assessment of classification model understandability. Proc. Scandinavian Conference on Artificial Intelligence.
Niklas Lavesson, Paul Davidsson. (2006). Quantifying the impact of learning algorithm parameter tuning. Proc. AAAI National Conference on Artificial Intelligence.
Recent publications
Eduardo Zimelewicz, Marcos Kalinowski, Daniel Mendez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Helio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Teresa Baldassarre, Tony Gorschek, "ML-Enabled Systems Model Deployment and Monitoring", Lecture Notes in Business Information Processing, ISSN 18651348, EISSN 18651356, EISSN 505, Software Quality as a Foundation for Security, Springer Science+Business Media B.V., 2024
Jonatan Flyckt, Filip Andersson, Florian Westphal, Andreas Mansson, Niklas Lavesson, "Explaining rifle shooting factors through multi-sensor body tracking", Intelligent Data Analysis, ISSN 1088-467X, EISSN 1571-4128, Vol. 27, nr 2, pp. 535 - 554, IOS Press, 2023
William Lidberg, Siddhartho Shekhar Paul, Florian Westphal, Kai Florian Richter, Niklas Lavesson, Raitis Melniks, Janis Ivanovs, Mariusz Ciesielski, Antti Leinonen, Anneli M. Agren, "Mapping Drainage Ditches in Forested Landscapes Using Deep Learning and Aerial Laser Scanning", Journal of irrigation and drainage engineering, ISSN 0733-9437, EISSN 1943-4774, Vol. 149, nr 3, American Society of Civil Engineers (ASCE), 2023
Jonatan Flyckt, Filip Andersson, Niklas Lavesson, Liselott Nilsson, Anneli M. Ågren, "Detecting ditches using supervised learning on high-resolution digital elevation models", Expert systems with applications, ISSN 0957-4174, EISSN 1873-6793, Vol. 201, Elsevier Ltd, 2022
Eva García Martín, Albert Bifet, Niklas Lavesson, "Energy Modeling of Hoeffding Tree Ensembles", Intelligent Data Analysis, ISSN 1088-467X, EISSN 1571-4128, Vol. 25, nr 1, pp. 81 - 104, IOS Press, 2021

Quick facts

Publications per year

1050

Total number of citations

Citations per year