Quantifying the impact of learning algorithm parameter tuning N Lavesson, P Davidsson AAAI 6, 395-400, 2006 | 104 | 2006 |
User-oriented assessment of classification model understandability H Allahyari, N Lavesson 11th Scandinavian Conference on Artificial intelligence, 11-19, 2011 | 87 | 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 | 77 | 2016 |
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 | 73 | 2013 |
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 | 64 | 2021 |
Document image binarization using recurrent neural networks F Westphal, N Lavesson, H Grahn 2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018 | 63 | 2018 |
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 | 63 | 2011 |
Comparative analysis of voting schemes for ensemble-based malware detection RK Shahzad, N Lavesson Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable …, 2013 | 56 | 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 | 53 | 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 | 53 | 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 | 50 | 2014 |
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 | 47 | 2015 |
Accurate adware detection using opcode sequence extraction RK Shahzad, N Lavesson, H Johnson 2011 Sixth International Conference on Availability, Reliability and …, 2011 | 42 | 2011 |
Learning machine learning: A case study N Lavesson IEEE Transactions on Education 53 (4), 672-676, 2010 | 36 | 2010 |
Detecting Scareware by Mining Variable Length Instruction Sequences RK Shahzad, N Lavesson Tenth Annual Information Security South Africa Conference, 2011 | 35 | 2011 |
Evaluating learning algorithms and classifiers N Lavesson, P Davidsson International Journal of Intelligent Information and Database Systems 1 (1 …, 2007 | 35 | 2007 |
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 | 31 | 2016 |
Evaluation and analysis of supervised learning algorithms and classifiers N Lavesson Blekinge Institute of Technology, 2006 | 30 | 2006 |
How to measure energy consumption in machine learning algorithms E García-Martín, N Lavesson, H Grahn, E Casalicchio, V Boeva ECML PKDD 2018 Workshops: Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe …, 2019 | 28 | 2019 |
Identification of energy hotspots: A case study of the very fast decision tree E Garcia-Martin, N Lavesson, H Grahn Green, Pervasive, and Cloud Computing: 12th International Conference, GPC …, 2017 | 28 | 2017 |