Quantifying the Impact of Learning Algorithm Parameter Tuning. - Niklas Lavesson; Paul Davidsson (AAAI, 2006)

Evaluating learning algorithms and classifiers. - Niklas Lavesson; Paul Davidsson (Int. J. Intell. Inf. Database Syst., 2007)

Generic Methods for Multi-criteria Evaluation. - Niklas Lavesson; Paul Davidsson (SDM, 2008)

On the Metric-based Approach to Supervised Concept Learning. - Niklas Lavesson (2008)

Spyware Prevention by Classifying End User License Agreements. - Niklas Lavesson; Paul Davidsson; Martin Boldt; Andreas Jacobsson (New Challenges in Applied Intelligence Technologies, 2008)

Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images. - Azam Sheikh Muhammad; Niklas Lavesson; Paul Davidsson; Mikael G. Nilsson (CAIP, 2009)

Identification of Surgery Indicators by Mining Hospital Data: A Preliminary Study. - Marie Persson; Niklas Lavesson (DEXA Workshops, 2009)

AMORI: A Metric-Based One Rule Inducer. - Niklas Lavesson; Paul Davidsson (SDM, 2009)

Detection of Spyware by Mining Executable Files. - Raja Khurram Shahzad; Syed Imran Haider; Niklas Lavesson (ARES, 2010)

Predicting the Risk of Future Hospitalization. - Niklas Lavesson (DEXA Workshops, 2010)

A hybrid computational method for the identification of cell cycle-regulated genes. - Veselka Boeva; Petia Ivanova; Niklas Lavesson (IEEE Conf. of Intelligent Systems, 2010)

APPrOVE: Application-oriented validation and evaluation of supervised learners. - Niklas Lavesson; Paul Davidsson (IEEE Conf. of Intelligent Systems, 2010)

Learning Machine Learning: A Case Study. - Niklas Lavesson (IEEE Trans. Educ., 2010)

Accurate Adware Detection Using Opcode Sequence Extraction. - Raja Khurram Shahzad; Niklas Lavesson; Henric Johnson (ARES, 2011)

CudaRF: A CUDA-based implementation of Random Forests. - Håkan Grahn; Niklas Lavesson; Mikael Hellborg Lapajne; Daniel Slat (AICCSA, 2011)

Your best might not be good enough: Ranking in collaborative social search engines. - Prantik Bhattacharyya; Jeff Rowe; Shyhtsun Felix Wu; Karen Zita Haigh; Niklas Lavesson; Henric Johnson (CollaborateCom, 2011)

Trustworthy opportunistic sensing: A Social Computing Paradigm. - Henric Johnson; Niklas Lavesson; Daniela Oliveira 001; Shyhtsun Felix Wu (IRI, 2011)

Informed Software Installation Through License Agreement Categorization. - Anton Borg; Martin Boldt; Niklas Lavesson (ISSA, 2011)

Detecting Scareware by Mining Variable Length Instruction Sequences. - Raja Khurram Shahzad; Niklas Lavesson (ISSA, 2011)

Clustering of Multiple Microarray Experiments Using Information Integration. - Elena Kostadinova; Veselka Boeva; Niklas Lavesson (ITBAM, 2011)

User-oriented Assessment of Classification Model Understandability. - Hiva Allahyari; Niklas Lavesson (SCAI, 2011)

Extended Abstract: Detecting Scareware by Mining Variable Length Instruction Sequences. - Raja Khurram Shahzad; Niklas Lavesson (SCAI, 2011)

Measuring profile distance in online social networks. - Niklas Lavesson; Henric Johnson (WIMS, 2011)

Preface. - Ana Alice Baptista; Peter Linde; Niklas Lavesson; Miguel A. Brito (Inf. Serv. Use, 2011)

Learning to detect spyware using end user license agreements. - Niklas Lavesson; Martin Boldt; Paul Davidsson; Andreas Jacobsson (Knowl. Inf. Syst., 2011)

E-mail Classification Using Social Network Information. - Anton Borg; Niklas Lavesson (ARES, 2012)

Veto-based Malware Detection. - Raja Khurram Shahzad; Niklas Lavesson (ARES, 2012)

E-Mail Prioritization using Online Social Network Profile Distance. - Shaliz Rezaee; Niklas Lavesson; Henric Johnson (Int. J. Comput. Sci. Appl., 2012)

Similarity assessment for removal of noisy end user license agreements. - Niklas Lavesson; Stefan Axelsson (Knowl. Inf. Syst., 2012)

Comparison of Clustering Approaches for Gene Expression Data. - Anton Borg; Niklas Lavesson; Veselka Boeva (SCAI, 2013)

Open data for anomaly detection in maritime surveillance. - Samira Kazemi; Shahrooz Abghari; Niklas Lavesson; Henric Johnson; Peter Ryman (Expert Syst. Appl., 2013)

Preface. - Niklas Lavesson; Peter Linde; Panayiota Polydoratou (Inf. Serv. Use, 2013)

Comparative Analysis of Voting Schemes for Ensemble-based Malware Detection. - Raja Khurram Shahzad; Niklas Lavesson (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2013)

A method for evaluation of learning components. - Niklas Lavesson; Veselka Boeva; Elena Tsiporkova; Paul Davidsson (Autom. Softw. Eng., 2014)

Detecting serial residential burglaries using clustering. - Anton Borg; Martin Boldt; Niklas Lavesson; Ulf Melander; Veselka Boeva (Expert Syst. Appl., 2014)

Energy Efficiency in Data Stream Mining. - Eva García Martín; Niklas Lavesson; Håkan Grahn (ASONAM, 2015)

Tree-Based Response Surface Analysis. - Siva Krishna Dasari; Niklas Lavesson; Petter Andersson; Marie Persson (MOD, 2015)

Consensus Decision Making in Random Forests. - Raja Khurram Shahzad; Mehwish Fatima; Niklas Lavesson; Martin Boldt (MOD, 2015)

Improved concept drift handling in surgery prediction and other applications. - Ayne A. Beyene; Tewelle Welemariam; Marie Persson; Niklas Lavesson (Knowl. Inf. Syst., 2015)

Handwriting image enhancement using local learning windowing, Gaussian Mixture Model and k-means clustering. - Huseyin Kusetogullari; Håkan Grahn; Niklas Lavesson (ISSPIT, 2016)

Large-scale information retrieval in software engineering - an experience report from industrial application. - Michael Unterkalmsteiner; Tony Gorschek; Robert Feldt; Niklas Lavesson (Empir. Softw. Eng., 2016)

A mixture-of-experts approach for gene regulatory network inference. - Borong Shao; Niklas Lavesson; Veselka Boeva; Raja Khurram Shahzad (Int. J. Data Min. Bioinform., 2016)

Hashtags and followers - An experimental study of the online social network Twitter. - Eva García Martín; Niklas Lavesson; Mina Doroud (Soc. Netw. Anal. Min., 2016)

Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree. - Eva García Martín; Niklas Lavesson; Håkan Grahn (GPC, 2017)

Energy Efficiency in Machine Learning: A position paper. - Eva García Martín; Niklas Lavesson; Håkan Grahn; Veselka Boeva (SAIS, 2017)

Is it ethical to avoid error analysis? - Eva García Martín; Niklas Lavesson (CoRR, 2017)

Document Image Binarization Using Recurrent Neural Networks. - Florian Westphal; Niklas Lavesson; Håkan Grahn (DAS, 2018)

Hoeffding Trees with Nmin Adaptation. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (DSAA, 2018)

Evolutionary Clustering Techniques for Expertise Mining Scenarios. - Veselka Boeva; Milena Angelova; Niklas Lavesson; Oliver Rosander; Elena Tsiporkova (ICAART (2), 2018)

User Feedback and Uncertainty in User Guided Binarization. - Florian Westphal; Håkan Grahn; Niklas Lavesson (ICDM Workshops, 2018)

A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. - Shahrooz Abghari; Veselka Boeva; Niklas Lavesson; Håkan Grahn; Selim Ickin; Jörgen Gustafsson (ICMLA, 2018)

How to Measure Energy Consumption in Machine Learning Algorithms. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Efficient document image binarization using heterogeneous computing and parameter tuning. - Florian Westphal; Håkan Grahn; Niklas Lavesson (Int. J. Document Anal. Recognit., 2018)

A Case for Guided Machine Learning. - Florian Westphal; Niklas Lavesson; Håkan Grahn (CD-MAKE, 2019)

Higher Order Mining for Monitoring District Heating Substations. - Shahrooz Abghari; Veselka Boeva; Jens Brage; Christian Johansson; Håkan Grahn; Niklas Lavesson (DSAA, 2019)

Learning Character Recognition with Graph-Based Privileged Information. - Florian Westphal; Niklas Lavesson; Håkan Grahn (ICDAR, 2019)

Representative Image Selection for Data Efficient Word Spotting. - Florian Westphal; Håkan Grahn; Niklas Lavesson (DAS, 2020)

AI Transformation in the Public Sector: Ongoing Research. - Einav Peretz-Andersson; Niklas Lavesson; Albert Bifet; Patrick Mikalef (SAIS, 2021)

Hit Detection in Sports Pistol Shooting. - Elinore Stenhager; Niklas Lavesson (SAIS, 2021)

DIGITNET: A Deep Handwritten Digit Detection and Recognition Method Using a New Historical Handwritten Digit Dataset. - Huseyin Kusetogullari; Amir Yavariabdi; Johan Hall; Niklas Lavesson (Big Data Res., 2021)

Energy modeling of Hoeffding tree ensembles. - Eva García-Martín; Albert Bifet; Niklas Lavesson (Intell. Data Anal., 2021)

Energy-aware very fast decision tree. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (Int. J. Data Sci. Anal., 2021)

Multi-View Data Analysis Techniques for Monitoring Smart Building Systems. - Vishnu Manasa Devagiri; Veselka Boeva; Shahrooz Abghari; Farhad Basiri; Niklas Lavesson (Sensors, 2021)

Green Accelerated Hoeffding Tree. - Eva García-Martín; Albert Bifet; Niklas Lavesson; Rikard König; Henrik Linusson (CoRR, 2022)

Detecting ditches using supervised learning on high-resolution digital elevation models. - Jonatan Flyckt; Filip Andersson; Niklas Lavesson; Liselott Nilsson; Anneli M. Å gren (Expert Syst. Appl., 2022)

Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. - Antonio Pedro Santos Alves; Marcos Kalinowski; Görkem Giray; Daniel Méndez 001; Niklas Lavesson; Kelly Azevedo; Hugo Villamizar; Tatiana Escovedo; Hélio Lopes 001; Stefan Biffl; Jürgen Musil; Michael Felderer; et al. (PROFES (1), 2023)

Explaining rifle shooting factors through multi-sensor body tracking. - Jonatan Flyckt; Filip Andersson; Florian Westphal; Andreas Månsson; Niklas Lavesson (Intell. Data Anal., 2023)

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. - Eduardo Zimelewicz; Marcos Kalinowski; Daniel Méndez 001; Görkem Giray; Antonio Pedro Santos Alves; Niklas Lavesson; Kelly Azevedo; Hugo Villamizar; Tatiana Escovedo; Hélio Lopes 001; Stefan Biffl; Juergen Musil; et al. (Zenodo, 2023)

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. - Eduardo Zimelewicz; Marcos Kalinowski; Daniel Méndez 001; Görkem Giray; Antonio Pedro Santos Alves; Niklas Lavesson; Kelly Azevedo; Hugo Villamizar; Tatiana Escovedo; Hélio Lopes 001; Stefan Biffl; Juergen Musil; et al. (SWQD, 2024)

Adversarial Machine Learning in Industry: A Systematic Literature Review. - Felix Viktor Jedrzejewski; Lukas Thode; Jannik Fischbach; Tony Gorschek; Daniel Méndez 001; Niklas Lavesson (Comput. Secur., 2024)

TimeLess: A Vision for the Next Generation of Software Development. - 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; et al. (CoRR, 2024)

Naming the Pain in machine learning-enabled systems engineering. - Marcos Kalinowski; Daniel Méndez 001; Görkem Giray; Antonio Pedro Santos Alves; Kelly Azevedo; Tatiana Escovedo; Hugo Villamizar; Hélio Lopes 001; Maria Teresa Baldassarre; Stefan Wagner 001; Stefan Biffl; Jürgen Musil; et al. (Inf. Softw. Technol., 2025)

Identifying key AI challenges in make-to-order manufacturing organisations: A multiple case study. - Jonatan Flyckt; Tony Gorschek; Daniel Méndez 001; Niklas Lavesson (J. Syst. Softw., 2025)