Niklas Lavesson

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 35

Top Topics

Machine Learning

Image Binarization

Evolutionary Clustering

Top Venues

Intell. Data Anal.

Publications

Eduardo Zimelewicz, Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. CoRR (2024)
Felix Viktor Jedrzejewski, Lukas Thode, Jannik Fischbach, Tony Gorschek, Daniel Méndez, Niklas Lavesson
Adversarial Machine Learning in Industry: A Systematic Literature Review. Comput. Secur. 145 (2024)
Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Kelly Azevedo, Tatiana Escovedo, Hugo Villamizar, Hélio Lopes, Maria Teresa Baldassarre, Stefan Wagner, Stefan Biffl, Jürgen Musil, Michael Felderer, Niklas Lavesson, Tony Gorschek
Naming the Pain in Machine Learning-Enabled Systems Engineering. CoRR (2024)
Eduardo Zimelewicz, Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. SWQD (2024)
Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Méndez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. PROFES (1) (2023)
Michael Unterkalmsteiner, Tony Gorschek, Robert Feldt, Niklas Lavesson
Large-scale information retrieval in software engineering - an experience report from industrial application. CoRR (2023)
Jonatan Flyckt, Filip Andersson, Florian Westphal, Andreas Månsson, Niklas Lavesson
Explaining rifle shooting factors through multi-sensor body tracking. Intell. Data Anal. 27 (2) (2023)
Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Méndez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. CoRR (2023)
Jonatan Flyckt, Filip Andersson, Niklas Lavesson, Liselott Nilsson, Anneli M. Å gren
Detecting ditches using supervised learning on high-resolution digital elevation models. Expert Syst. Appl. 201 (2022)
Eva García-Martín, Albert Bifet, Niklas Lavesson, Rikard König, Henrik Linusson
Green Accelerated Hoeffding Tree. CoRR (2022)
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
Energy-aware very fast decision tree. Int. J. Data Sci. Anal. 11 (2) (2021)
Huseyin Kusetogullari, Amir Yavariabdi, Johan Hall, Niklas Lavesson
DIGITNET: A Deep Handwritten Digit Detection and Recognition Method Using a New Historical Handwritten Digit Dataset. Big Data Res. 23 (2021)
Elinore Stenhager, Niklas Lavesson
Hit Detection in Sports Pistol Shooting. SAIS (2021)
Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, Farhad Basiri, Niklas Lavesson
Multi-View Data Analysis Techniques for Monitoring Smart Building Systems. Sensors 21 (20) (2021)
Eva García-Martín, Albert Bifet, Niklas Lavesson
Energy modeling of Hoeffding tree ensembles. Intell. Data Anal. 25 (1) (2021)
Einav Peretz-Andersson, Niklas Lavesson, Albert Bifet, Patrick Mikalef
AI Transformation in the Public Sector: Ongoing Research. SAIS (2021)
Florian Westphal, Håkan Grahn, Niklas Lavesson
Representative Image Selection for Data Efficient Word Spotting. DAS (2020)
Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson
Higher Order Mining for Monitoring District Heating Substations. DSAA (2019)
Florian Westphal, Niklas Lavesson, Håkan Grahn
Learning Character Recognition with Graph-Based Privileged Information. ICDAR (2019)
Florian Westphal, Niklas Lavesson, Håkan Grahn
A Case for Guided Machine Learning. CD-MAKE (2019)
Florian Westphal, Håkan Grahn, Niklas Lavesson
Efficient document image binarization using heterogeneous computing and parameter tuning. Int. J. Document Anal. Recognit. 21 (1-2) (2018)
Florian Westphal, Niklas Lavesson, Håkan Grahn
Document Image Binarization Using Recurrent Neural Networks. DAS (2018)
Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Håkan Grahn, Selim Ickin, Jörgen Gustafsson
A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. ICMLA (2018)
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
Hoeffding Trees with Nmin Adaptation. DSAA (2018)
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
Hoeffding Trees with nmin adaptation. CoRR (2018)
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
How to Measure Energy Consumption in Machine Learning Algorithms. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML (2018)
Veselka Boeva, Milena Angelova, Niklas Lavesson, Oliver Rosander, Elena Tsiporkova
Evolutionary Clustering Techniques for Expertise Mining Scenarios. ICAART (2) (2018)
Florian Westphal, Håkan Grahn, Niklas Lavesson
User Feedback and Uncertainty in User Guided Binarization. ICDM Workshops (2018)
Eva García Martín, Niklas Lavesson
Is it ethical to avoid error analysis? CoRR (2017)
Eva García Martín, Niklas Lavesson, Håkan Grahn, Veselka Boeva
Energy Efficiency in Machine Learning: A position paper. SAIS (2017)
Eva García Martín, Niklas Lavesson, Håkan Grahn
Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree. GPC (2017)
Huseyin Kusetogullari, Håkan Grahn, Niklas Lavesson
Handwriting image enhancement using local learning windowing, Gaussian Mixture Model and k-means clustering. ISSPIT (2016)
Michael Unterkalmsteiner, Tony Gorschek, Robert Feldt, Niklas Lavesson
Large-scale information retrieval in software engineering - an experience report from industrial application. Empir. Softw. Eng. 21 (6) (2016)
Borong Shao, Niklas Lavesson, Veselka Boeva, Raja Khurram Shahzad
A mixture-of-experts approach for gene regulatory network inference. Int. J. Data Min. Bioinform. 14 (3) (2016)
Eva García Martín, Niklas Lavesson, Mina Doroud
Hashtags and followers - An experimental study of the online social network Twitter. Soc. Netw. Anal. Min. 6 (1) (2016)
Ayne A. Beyene, Tewelle Welemariam, Marie Persson, Niklas Lavesson
Improved concept drift handling in surgery prediction and other applications. Knowl. Inf. Syst. 44 (1) (2015)
Eva García Martín, Niklas Lavesson, Håkan Grahn
Energy Efficiency in Data Stream Mining. ASONAM (2015)
Siva Krishna Dasari, Niklas Lavesson, Petter Andersson, Marie Persson
Tree-Based Response Surface Analysis. MOD (2015)
Raja Khurram Shahzad, Mehwish Fatima, Niklas Lavesson, Martin Boldt
Consensus Decision Making in Random Forests. MOD (2015)
Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva
Detecting serial residential burglaries using clustering. Expert Syst. Appl. 41 (11) (2014)
Niklas Lavesson, Veselka Boeva, Elena Tsiporkova, Paul Davidsson
A method for evaluation of learning components. Autom. Softw. Eng. 21 (1) (2014)
Raja Khurram Shahzad, Niklas Lavesson
Comparative Analysis of Voting Schemes for Ensemble-based Malware Detection. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 4 (1) (2013)
Samira Kazemi, Shahrooz Abghari, Niklas Lavesson, Henric Johnson, Peter Ryman
Open data for anomaly detection in maritime surveillance. Expert Syst. Appl. 40 (14) (2013)
Anton Borg, Niklas Lavesson, Veselka Boeva
Comparison of Clustering Approaches for Gene Expression Data. SCAI (2013)
Niklas Lavesson, Peter Linde, Panayiota Polydoratou
Preface. Inf. Serv. Use 33 (2) (2013)
Raja Khurram Shahzad, Niklas Lavesson
Veto-based Malware Detection. ARES (2012)
Shaliz Rezaee, Niklas Lavesson, Henric Johnson
E-Mail Prioritization using Online Social Network Profile Distance. Int. J. Comput. Sci. Appl. 9 (1) (2012)
Niklas Lavesson, Stefan Axelsson
Similarity assessment for removal of noisy end user license agreements. Knowl. Inf. Syst. 32 (1) (2012)
Anton Borg, Niklas Lavesson
E-mail Classification Using Social Network Information. ARES (2012)
Håkan Grahn, Niklas Lavesson, Mikael Hellborg Lapajne, Daniel Slat
CudaRF: A CUDA-based implementation of Random Forests. AICCSA (2011)
Prantik Bhattacharyya, Jeff Rowe, Shyhtsun Felix Wu, Karen Zita Haigh, Niklas Lavesson, Henric Johnson
Your best might not be good enough: Ranking in collaborative social search engines. CollaborateCom (2011)
Raja Khurram Shahzad, Niklas Lavesson
Extended Abstract: Detecting Scareware by Mining Variable Length Instruction Sequences. SCAI (2011)
Henric Johnson, Niklas Lavesson, Daniela Oliveira, Shyhtsun Felix Wu
Trustworthy opportunistic sensing: A Social Computing Paradigm. IRI (2011)
Hiva Allahyari, Niklas Lavesson
User-oriented Assessment of Classification Model Understandability. SCAI (2011)
Ana Alice Baptista, Peter Linde, Niklas Lavesson, Miguel A. Brito
Preface. Inf. Serv. Use 31 (3-4) (2011)
Raja Khurram Shahzad, Niklas Lavesson
Detecting Scareware by Mining Variable Length Instruction Sequences. ISSA (2011)
Anton Borg, Martin Boldt, Niklas Lavesson
Informed Software Installation Through License Agreement Categorization. ISSA (2011)
Elena Kostadinova, Veselka Boeva, Niklas Lavesson
Clustering of Multiple Microarray Experiments Using Information Integration. ITBAM (2011)
Niklas Lavesson, Henric Johnson
Measuring profile distance in online social networks. WIMS (2011)
Raja Khurram Shahzad, Niklas Lavesson, Henric Johnson
Accurate Adware Detection Using Opcode Sequence Extraction. ARES (2011)
Niklas Lavesson, Martin Boldt, Paul Davidsson, Andreas Jacobsson
Learning to detect spyware using end user license agreements. Knowl. Inf. Syst. 26 (2) (2011)
Niklas Lavesson
Learning Machine Learning: A Case Study. IEEE Trans. Educ. 53 (4) (2010)
Raja Khurram Shahzad, Syed Imran Haider, Niklas Lavesson
Detection of Spyware by Mining Executable Files. ARES (2010)
Niklas Lavesson
Predicting the Risk of Future Hospitalization. DEXA Workshops (2010)
Veselka Boeva, Petia Ivanova, Niklas Lavesson
A hybrid computational method for the identification of cell cycle-regulated genes. IEEE Conf. of Intelligent Systems (2010)
Niklas Lavesson, Paul Davidsson
APPrOVE: Application-oriented validation and evaluation of supervised learners. IEEE Conf. of Intelligent Systems (2010)
Marie Persson, Niklas Lavesson
Identification of Surgery Indicators by Mining Hospital Data: A Preliminary Study. DEXA Workshops (2009)
Niklas Lavesson, Paul Davidsson
AMORI: A Metric-Based One Rule Inducer. SDM (2009)
Azam Sheikh Muhammad, Niklas Lavesson, Paul Davidsson, Mikael G. Nilsson
Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images. CAIP (2009)
Niklas Lavesson, Paul Davidsson
Generic Methods for Multi-criteria Evaluation. SDM (2008)
Niklas Lavesson, Paul Davidsson
Evaluating learning algorithms and classifiers. Int. J. Intell. Inf. Database Syst. 1 (1) (2007)
Niklas Lavesson, Paul Davidsson
Quantifying the Impact of Learning Algorithm Parameter Tuning. AAAI (2006)