Niklas Lavesson

83 papers A* 1A 3B 9C 6Misc 1Journal 34Unranked 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
Identifying key AI challenges in make-to-order manufacturing organisations: A multiple case study.
J. Syst. Softw.
Jonatan Flyckt, Tony Gorschek, Daniel Méndez, Niklas Lavesson
2025 J jnl
Naming the Pain in machine learning-enabled systems engineering.
Inf. Softw. Technol.
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
2025 J jnl
Natural Language Processing in Software Engineering: A Systematic Literature Review.
J. Softw. Eng. Res. Dev.
Gabriel Nogueira Pacheco, Luiz Eduardo Galvão Martins, Ana Estela Antunes da Silva, Niklas Lavesson, Tony Gorschek
2025 — conf
Navigating demand forecasting in make-to-order manufacturing: the role of global models and intermittent time-series.
SAIS
Jonatan Flyckt, Niklas Lavesson
2024 J jnl
Adversarial Machine Learning in Industry: A Systematic Literature Review.
Comput. Secur.
Felix Viktor Jedrzejewski, Lukas Thode, Jannik Fischbach, Tony Gorschek, Daniel Méndez, Niklas Lavesson
2024 — conf
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems.
SWQD
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
2024 J jnl
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems.
CoRR
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
2024 J jnl
Naming the Pain in Machine Learning-Enabled Systems Engineering.
CoRR
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
2024 J jnl
TimeLess: A Vision for the Next Generation of Software Development.
CoRR
Zeeshan Rasheed, Malik Abdul Sami, Jussi Rasku, Kai-Kristian Kemell, Zheying Zhang, Janne Harjamäki, Shahbaz Siddeeq, Sami Lahti, Tomas Herda, Mikko Nurminen, Niklas Lavesson, Jose Siqueira de Cerqueira, Md Toufique Hasan, Ayman Asad Khan, Mahade Hasan, Mika Saari, Petri Rantanen, Jari Soini, Pekka Abrahamsson
2023 J jnl
Explaining rifle shooting factors through multi-sensor body tracking.
Intell. Data Anal.
Jonatan Flyckt, Filip Andersson, Florian Westphal, Andreas Månsson, Niklas Lavesson
2023 J jnl
Large-scale information retrieval in software engineering - an experience report from industrial application.
CoRR
Michael Unterkalmsteiner, Tony Gorschek, Robert Feldt, Niklas Lavesson
2023 — conf
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey.
PROFES (1)
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
2023 J jnl
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey.
CoRR
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
2022 J jnl
Detecting ditches using supervised learning on high-resolution digital elevation models.
Expert Syst. Appl.
Jonatan Flyckt, Filip Andersson, Niklas Lavesson, Liselott Nilsson, Anneli M. Å gren
2022 J jnl
Green Accelerated Hoeffding Tree.
CoRR
Eva García-Martín, Albert Bifet, Niklas Lavesson, Rikard König, Henrik Linusson
2021 — conf
AI Transformation in the Public Sector: Ongoing Research.
SAIS
Einav Peretz-Andersson, Niklas Lavesson, Albert Bifet, Patrick Mikalef
2021 J jnl
DIGITNET: A Deep Handwritten Digit Detection and Recognition Method Using a New Historical Handwritten Digit Dataset.
Big Data Res.
Huseyin Kusetogullari, Amir Yavariabdi, Johan Hall, Niklas Lavesson
2021 J jnl
Energy modeling of Hoeffding tree ensembles.
Intell. Data Anal.
Eva García-Martín, Albert Bifet, Niklas Lavesson
2021 J jnl
Energy-aware very fast decision tree.
Int. J. Data Sci. Anal.
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2021 — conf
Hit Detection in Sports Pistol Shooting.
SAIS
Elinore Stenhager, Niklas Lavesson
2021 J jnl
Multi-View Data Analysis Techniques for Monitoring Smart Building Systems.
Sensors
Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, Farhad Basiri, Niklas Lavesson
2020 B conf
Representative Image Selection for Data Efficient Word Spotting.
DAS
Florian Westphal, Håkan Grahn, Niklas Lavesson
2019 C conf
A Case for Guided Machine Learning.
CD-MAKE
Florian Westphal, Niklas Lavesson, Håkan Grahn
2019 — ed.
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML
Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn
2019 B conf
Higher Order Mining for Monitoring District Heating Substations.
DSAA
Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson
2019 A conf
Learning Character Recognition with Graph-Based Privileged Information.
ICDAR
Florian Westphal, Niklas Lavesson, Håkan Grahn
2018 C conf
A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences.
ICMLA
Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Håkan Grahn, Selim Ickin, Jörgen Gustafsson
2018 B conf
Document Image Binarization Using Recurrent Neural Networks.
DAS
Florian Westphal, Niklas Lavesson, Håkan Grahn
2018 J jnl
Efficient document image binarization using heterogeneous computing and parameter tuning.
Int. J. Document Anal. Recognit.
Florian Westphal, Håkan Grahn, Niklas Lavesson
2018 — conf
Evolutionary Clustering Techniques for Expertise Mining Scenarios.
ICAART (2)
Veselka Boeva, Milena Angelova, Niklas Lavesson, Oliver Rosander, Elena Tsiporkova
2018 B conf
Hoeffding Trees with Nmin Adaptation.
DSAA
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2018 J jnl
Hoeffding Trees with nmin adaptation.
CoRR
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2018 — conf
How to Measure Energy Consumption in Machine Learning Algorithms.
Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2018 — conf
User Feedback and Uncertainty in User Guided Binarization.
ICDM Workshops
Florian Westphal, Håkan Grahn, Niklas Lavesson
2017 — ed.
30th Annual Workshop of the Swedish Artificial Intelligence Society, SAIS 2017, May 15-16, 2017, Karlskrona, Sweden
SAIS
Niklas Lavesson
2017 — conf
Energy Efficiency in Machine Learning: A position paper.
SAIS
Eva García Martín, Niklas Lavesson, Håkan Grahn, Veselka Boeva
2017 C conf
Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree.
GPC
Eva García Martín, Niklas Lavesson, Håkan Grahn
2017 J jnl
Is it ethical to avoid error analysis?
CoRR
Eva García Martín, Niklas Lavesson
2016 J jnl
A mixture-of-experts approach for gene regulatory network inference.
Int. J. Data Min. Bioinform.
Borong Shao, Niklas Lavesson, Veselka Boeva, Raja Khurram Shahzad
2016 — conf
Handwriting image enhancement using local learning windowing, Gaussian Mixture Model and k-means clustering.
ISSPIT
Huseyin Kusetogullari, Håkan Grahn, Niklas Lavesson
2016 J jnl
Hashtags and followers - An experimental study of the online social network Twitter.
Soc. Netw. Anal. Min.
Eva García Martín, Niklas Lavesson, Mina Doroud
2016 J jnl
Large-scale information retrieval in software engineering - an experience report from industrial application.
Empir. Softw. Eng.
Michael Unterkalmsteiner, Tony Gorschek, Robert Feldt, Niklas Lavesson
2015 — conf
Consensus Decision Making in Random Forests.
MOD
Raja Khurram Shahzad, Mehwish Fatima, Niklas Lavesson, Martin Boldt
2015 B conf
Energy Efficiency in Data Stream Mining.
ASONAM
Eva García Martín, Niklas Lavesson, Håkan Grahn
2015 J jnl
Improved concept drift handling in surgery prediction and other applications.
Knowl. Inf. Syst.
Ayne A. Beyene, Tewelle Welemariam, Marie Persson, Niklas Lavesson
2015 — conf
Tree-Based Response Surface Analysis.
MOD
Siva Krishna Dasari, Niklas Lavesson, Petter Andersson, Marie Persson
2014 J jnl
A method for evaluation of learning components.
Autom. Softw. Eng.
Niklas Lavesson, Veselka Boeva, Elena Tsiporkova, Paul Davidsson
2014 J jnl
Detecting serial residential burglaries using clustering.
Expert Syst. Appl.
Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva
2013 J jnl
Comparative Analysis of Voting Schemes for Ensemble-based Malware Detection.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl.
Raja Khurram Shahzad, Niklas Lavesson
2013 — conf
Comparison of Clustering Approaches for Gene Expression Data.
SCAI
Anton Borg, Niklas Lavesson, Veselka Boeva
2013 — ed.
Mining the Digital Information Networks - 17th International Conference on Electronic Publishing, Karlskrona, Sweden, June 13-14, 2013.
ELPUB
Niklas Lavesson, Peter Linde, Panayiota Polydoratou
2013 J jnl
Open data for anomaly detection in maritime surveillance.
Expert Syst. Appl.
Samira Kazemi, Shahrooz Abghari, Niklas Lavesson, Henric Johnson, Peter Ryman
2013 J jnl
Preface.
Inf. Serv. Use
Niklas Lavesson, Peter Linde, Panayiota Polydoratou
2012 J jnl
E-Mail Prioritization using Online Social Network Profile Distance.
Int. J. Comput. Sci. Appl.
Shaliz Rezaee, Niklas Lavesson, Henric Johnson
2012 B conf
E-mail Classification Using Social Network Information.
ARES
Anton Borg, Niklas Lavesson
2012 J jnl
Similarity assessment for removal of noisy end user license agreements.
Knowl. Inf. Syst.
Niklas Lavesson, Stefan Axelsson
2012 — ed.
Social Shaping of Digital Publishing: Exploring the interplay between Culture and Technology - 16th International Conference on Electronic Publishing, Guimaraes, Portugal, June 14-15, 2013.
ELPUB
Ana Alice Baptista, Peter Linde, Niklas Lavesson, Miguel Abrunhosa de Brito
2012 B conf
Veto-based Malware Detection.
ARES
Raja Khurram Shahzad, Niklas Lavesson
2011 B conf
Accurate Adware Detection Using Opcode Sequence Extraction.
ARES
Raja Khurram Shahzad, Niklas Lavesson, Henric Johnson
2011 — conf
Clustering of Multiple Microarray Experiments Using Information Integration.
ITBAM
Elena Kostadinova, Veselka Boeva, Niklas Lavesson
2011 C conf
CudaRF: A CUDA-based implementation of Random Forests.
AICCSA
Håkan Grahn, Niklas Lavesson, Mikael Hellborg Lapajne, Daniel Slat
2011 — conf
Detecting Scareware by Mining Variable Length Instruction Sequences.
ISSA
Raja Khurram Shahzad, Niklas Lavesson
2011 — conf
Extended Abstract: Detecting Scareware by Mining Variable Length Instruction Sequences.
SCAI
Raja Khurram Shahzad, Niklas Lavesson
2011 — conf
Informed Software Installation Through License Agreement Categorization.
ISSA
Anton Borg, Martin Boldt, Niklas Lavesson
2011 J jnl
Learning to detect spyware using end user license agreements.
Knowl. Inf. Syst.
Niklas Lavesson, Martin Boldt, Paul Davidsson, Andreas Jacobsson
2011 — conf
Measuring profile distance in online social networks.
WIMS
Niklas Lavesson, Henric Johnson
2011 J jnl
Preface.
Inf. Serv. Use
Ana Alice Baptista, Peter Linde, Niklas Lavesson, Miguel A. Brito
2011 Misc conf
Trustworthy opportunistic sensing: A Social Computing Paradigm.
IRI
Henric Johnson, Niklas Lavesson, Daniela Oliveira, Shyhtsun Felix Wu
2011 — conf
User-oriented Assessment of Classification Model Understandability.
SCAI
Hiva Allahyari, Niklas Lavesson
2011 C conf
Your best might not be good enough: Ranking in collaborative social search engines.
CollaborateCom
Prantik Bhattacharyya, Jeff Rowe, Shyhtsun Felix Wu, Karen Zita Haigh, Niklas Lavesson, Henric Johnson
2010 — conf
A hybrid computational method for the identification of cell cycle-regulated genes.
IEEE Conf. of Intelligent Systems
Veselka Boeva, Petia Ivanova, Niklas Lavesson
2010 — conf
APPrOVE: Application-oriented validation and evaluation of supervised learners.
IEEE Conf. of Intelligent Systems
Niklas Lavesson, Paul Davidsson
2010 B conf
Detection of Spyware by Mining Executable Files.
ARES
Raja Khurram Shahzad, Syed Imran Haider, Niklas Lavesson
2010 J jnl
Learning Machine Learning: A Case Study.
IEEE Trans. Educ.
Niklas Lavesson
2010 — conf
Predicting the Risk of Future Hospitalization.
DEXA Workshops
Niklas Lavesson
2009 A conf
AMORI: A Metric-Based One Rule Inducer.
SDM
Niklas Lavesson, Paul Davidsson
2009 C conf
Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images.
CAIP
Azam Sheikh Muhammad, Niklas Lavesson, Paul Davidsson, Mikael G. Nilsson
2009 — conf
Identification of Surgery Indicators by Mining Hospital Data: A Preliminary Study.
DEXA Workshops
Marie Persson, Niklas Lavesson
2008 A conf
Generic Methods for Multi-criteria Evaluation.
SDM
Niklas Lavesson, Paul Davidsson
2008 — —
On the Metric-based Approach to Supervised Concept Learning.
Niklas Lavesson
2008 — ch.
Spyware Prevention by Classifying End User License Agreements.
New Challenges in Applied Intelligence Technologies
Niklas Lavesson, Paul Davidsson, Martin Boldt, Andreas Jacobsson
2007 J jnl
Evaluating learning algorithms and classifiers.
Int. J. Intell. Inf. Database Syst.
Niklas Lavesson, Paul Davidsson
2006 A* conf
Quantifying the Impact of Learning Algorithm Parameter Tuning.
AAAI
Niklas Lavesson, Paul Davidsson