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ORCIDNiklas Lavesson
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Books and Theses
- 2008
[b1]Niklas Lavesson:
On the Metric-based Approach to Supervised Concept Learning. Blekinge Institute of Technology, Sweden, 2008
Journal Articles
- 2024
- [j23]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: 103988 (2024) - 2023
- [j22]Jonatan Flyckt, Filip Andersson, Florian Westphal, Andreas Månsson, Niklas Lavesson:
Explaining rifle shooting factors through multi-sensor body tracking. Intell. Data Anal. 27(2): 535-554 (2023) - 2022
- [j21]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: 116961 (2022) - 2021
- [j20]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: 100182 (2021) - [j19]Eva García-Martín, Albert Bifet, Niklas Lavesson:
Energy modeling of Hoeffding tree ensembles. Intell. Data Anal. 25(1): 81-104 (2021) - [j18]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Energy-aware very fast decision tree. Int. J. Data Sci. Anal. 11(2): 105-126 (2021) - [j17]Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, Farhad Basiri, Niklas Lavesson:
Multi-View Data Analysis Techniques for Monitoring Smart Building Systems. Sensors 21(20): 6775 (2021) - 2018
- [j16]Florian Westphal, Håkan Grahn, Niklas Lavesson:
Efficient document image binarization using heterogeneous computing and parameter tuning. Int. J. Document Anal. Recognit. 21(1-2): 41-58 (2018) - 2016
- [j15]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): 2324-2365 (2016) - [j14]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): 258-275 (2016) - [j13]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): 12:1-12:15 (2016) - 2015
- [j12]Ayne A. Beyene, Tewelle Welemariam, Marie Persson, Niklas Lavesson:
Improved concept drift handling in surgery prediction and other applications. Knowl. Inf. Syst. 44(1): 177-196 (2015) - 2014
- [j11]Niklas Lavesson, Veselka Boeva, Elena Tsiporkova, Paul Davidsson:
A method for evaluation of learning components. Autom. Softw. Eng. 21(1): 41-63 (2014) - [j10]Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva:
Detecting serial residential burglaries using clustering. Expert Syst. Appl. 41(11): 5252-5266 (2014) - 2013
- [j9]Samira Kazemi, Shahrooz Abghari, Niklas Lavesson, Henric Johnson, Peter Ryman:
Open data for anomaly detection in maritime surveillance. Expert Syst. Appl. 40(14): 5719-5729 (2013) - [j8]Niklas Lavesson, Peter Linde, Panayiota Polydoratou:
Preface. Inf. Serv. Use 33(2): 61-62 (2013) - [j7]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): 98-117 (2013) - 2012
- [j6]Shaliz Rezaee, Niklas Lavesson, Henric Johnson:
E-Mail Prioritization using Online Social Network Profile Distance. Int. J. Comput. Sci. Appl. 9(1): 70-87 (2012) - [j5]Niklas Lavesson, Stefan Axelsson:
Similarity assessment for removal of noisy end user license agreements. Knowl. Inf. Syst. 32(1): 167-189 (2012) - 2011
- [j4]Ana Alice Baptista, Peter Linde, Niklas Lavesson, Miguel A. Brito:
Preface. Inf. Serv. Use 31(3-4): 93 (2011) - [j3]Niklas Lavesson, Martin Boldt, Paul Davidsson, Andreas Jacobsson:
Learning to detect spyware using end user license agreements. Knowl. Inf. Syst. 26(2): 285-307 (2011) - 2010
- [j2]Niklas Lavesson:
Learning Machine Learning: A Case Study. IEEE Trans. Educ. 53(4): 672-676 (2010) - 2007
- [j1]Niklas Lavesson, Paul Davidsson:
Evaluating learning algorithms and classifiers. Int. J. Intell. Inf. Database Syst. 1(1): 37-52 (2007)
Conference and Workshop Papers
- 2024
- [c42]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: 112-131 - 2023
- [c41]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: 159-174 - 2021
- [c40]Einav Peretz-Andersson, Niklas Lavesson, Albert Bifet, Patrick Mikalef:
AI Transformation in the Public Sector: Ongoing Research. SAIS 2021: 1-4 - [c39]Elinore Stenhager, Niklas Lavesson:
Hit Detection in Sports Pistol Shooting. SAIS 2021: 1-4 - 2020
- [c38]Florian Westphal, Håkan Grahn, Niklas Lavesson:
Representative Image Selection for Data Efficient Word Spotting. DAS 2020: 383-397 - 2019
- [c37]Florian Westphal, Niklas Lavesson, Håkan Grahn:
A Case for Guided Machine Learning. CD-MAKE 2019: 353-361 - [c36]Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson:
Higher Order Mining for Monitoring District Heating Substations. DSAA 2019: 382-391 - [c35]Florian Westphal, Niklas Lavesson, Håkan Grahn:
Learning Character Recognition with Graph-Based Privileged Information. ICDAR 2019: 1163-1168 - 2018
- [c34]Florian Westphal, Niklas Lavesson, Håkan Grahn:
Document Image Binarization Using Recurrent Neural Networks. DAS 2018: 263-268 - [c33]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Hoeffding Trees with Nmin Adaptation. DSAA 2018: 70-79 - [c32]Veselka Boeva, Milena Angelova, Niklas Lavesson, Oliver Rosander, Elena Tsiporkova:
Evolutionary Clustering Techniques for Expertise Mining Scenarios. ICAART (2) 2018: 523-530 - [c31]Florian Westphal, Håkan Grahn, Niklas Lavesson:
User Feedback and Uncertainty in User Guided Binarization. ICDM Workshops 2018: 403-410 - [c30]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: 1123-1130 - [c29]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: 243-255 - 2017
- [c28]Eva García Martín, Niklas Lavesson, Håkan Grahn:
Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree. GPC 2017: 267-281 - [c27]Eva García Martín, Niklas Lavesson, Håkan Grahn, Veselka Boeva:
Energy Efficiency in Machine Learning: A position paper. SAIS 2017: 137:008 - 2016
- [c26]Huseyin Kusetogullari, Håkan Grahn, Niklas Lavesson:
Handwriting image enhancement using local learning windowing, Gaussian Mixture Model and k-means clustering. ISSPIT 2016: 305-310 - 2015
- [c25]Eva García Martín, Niklas Lavesson, Håkan Grahn:
Energy Efficiency in Data Stream Mining. ASONAM 2015: 1125-1132 - [c24]Siva Krishna Dasari, Niklas Lavesson, Petter Andersson, Marie Persson:
Tree-Based Response Surface Analysis. MOD 2015: 118-129 - [c23]Raja Khurram Shahzad, Mehwish Fatima, Niklas Lavesson, Martin Boldt:
Consensus Decision Making in Random Forests. MOD 2015: 347-358 - 2013
- [c22]Anton Borg, Niklas Lavesson, Veselka Boeva:
Comparison of Clustering Approaches for Gene Expression Data. SCAI 2013: 55-64 - 2012
- [c21]Raja Khurram Shahzad, Niklas Lavesson:
Veto-based Malware Detection. ARES 2012: 47-54 - [c20]Anton Borg, Niklas Lavesson:
E-mail Classification Using Social Network Information. ARES 2012: 168-173 - 2011
- [c19]Raja Khurram Shahzad, Niklas Lavesson, Henric Johnson:
Accurate Adware Detection Using Opcode Sequence Extraction. ARES 2011: 189-195 - [c18]Håkan Grahn, Niklas Lavesson, Mikael Hellborg Lapajne, Daniel Slat:
CudaRF: A CUDA-based implementation of Random Forests. AICCSA 2011: 95-101 - [c17]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: 87-94 - [c16]Henric Johnson, Niklas Lavesson, Daniela Oliveira, Shyhtsun Felix Wu:
Trustworthy opportunistic sensing: A Social Computing Paradigm. IRI 2011: 513-518 - [c15]Anton Borg, Martin Boldt, Niklas Lavesson:
Informed Software Installation Through License Agreement Categorization. ISSA 2011 - [c14]Raja Khurram Shahzad, Niklas Lavesson:
Detecting Scareware by Mining Variable Length Instruction Sequences. ISSA 2011 - [c13]Elena Kostadinova, Veselka Boeva, Niklas Lavesson:
Clustering of Multiple Microarray Experiments Using Information Integration. ITBAM 2011: 123-137 - [c12]Hiva Allahyari, Niklas Lavesson:
User-oriented Assessment of Classification Model Understandability. SCAI 2011: 11-19 - [c11]Raja Khurram Shahzad, Niklas Lavesson:
Extended Abstract: Detecting Scareware by Mining Variable Length Instruction Sequences. SCAI 2011: 195-196 - [c10]Niklas Lavesson, Henric Johnson:
Measuring profile distance in online social networks. WIMS 2011: 47 - 2010
- [c9]Raja Khurram Shahzad, Syed Imran Haider, Niklas Lavesson:
Detection of Spyware by Mining Executable Files. ARES 2010: 295-302 - [c8]Niklas Lavesson:
Predicting the Risk of Future Hospitalization. DEXA Workshops 2010: 120-124 - [c7]Niklas Lavesson, Paul Davidsson:
APPrOVE: Application-oriented validation and evaluation of supervised learners. IEEE Conf. of Intelligent Systems 2010: 150-155 - [c6]Veselka Boeva, Petia Ivanova, Niklas Lavesson:
A hybrid computational method for the identification of cell cycle-regulated genes. IEEE Conf. of Intelligent Systems 2010: 390-395 - 2009
- [c5]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: 1220-1227 - [c4]Marie Persson, Niklas Lavesson:
Identification of Surgery Indicators by Mining Hospital Data: A Preliminary Study. DEXA Workshops 2009: 323-327 - [c3]Niklas Lavesson, Paul Davidsson:
AMORI: A Metric-Based One Rule Inducer. SDM 2009: 930-941 - 2008
- [c2]Niklas Lavesson, Paul Davidsson:
Generic Methods for Multi-criteria Evaluation. SDM 2008: 541-546 - 2006
- [c1]Niklas Lavesson, Paul Davidsson:
Quantifying the Impact of Learning Algorithm Parameter Tuning. AAAI 2006: 395-400
Parts in Books or Collections
- 2008
- [p1]Niklas Lavesson, Paul Davidsson, Martin Boldt, Andreas Jacobsson:
Spyware Prevention by Classifying End User License Agreements. New Challenges in Applied Intelligence Technologies 2008: 373-382
Editorship
- 2019
- [e4]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:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - 2017
- [e3]Niklas Lavesson:
30th Annual Workshop of the Swedish Artificial Intelligence Society, SAIS 2017, May 15-16, 2017, Karlskrona, Sweden. Linköping Electronic Conference Proceedings 137, Linköping University Electronic Press 2017, ISBN 978-91-7685-496-9 [contents] - 2013
- [e2]Niklas Lavesson, Peter Linde, Panayiota Polydoratou:
Mining the Digital Information Networks - 17th International Conference on Electronic Publishing, Karlskrona, Sweden, June 13-14, 2013. IOS Press 2013, ISBN 978-1-61499-269-1 [contents] - 2012
- [e1]Ana Alice Baptista, Peter Linde, Niklas Lavesson, Miguel Abrunhosa de Brito:
Social Shaping of Digital Publishing: Exploring the interplay between Culture and Technology - 16th International Conference on Electronic Publishing, Guimaraes, Portugal, June 14-15, 2013. IOS Press 2012, ISBN 978-1-61499-408-4 [contents]
Data and Artifacts
- 2023
- [d1]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. Zenodo, 2023
Informal and Other Publications
- 2024
- [i8]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 abs/2402.05333 (2024) - [i7]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 abs/2406.04359 (2024) - [i6]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, Toufique Hasan, Ayman Khan, Mahade Hasan, Mika Saari, Petri Rantanen, Jari Soini, Pekka Abrahamsson:
TimeLess: A Vision for the Next Generation of Software Development. CoRR abs/2411.08507 (2024) - 2023
- [i5]Michael Unterkalmsteiner, Tony Gorschek, Robert Feldt, Niklas Lavesson:
Large-scale information retrieval in software engineering - an experience report from industrial application. CoRR abs/2308.11750 (2023) - [i4]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 abs/2310.06726 (2023) - 2022
- [i3]Eva García-Martín, Albert Bifet, Niklas Lavesson, Rikard König, Henrik Linusson:
Green Accelerated Hoeffding Tree. CoRR abs/2205.03184 (2022) - 2018
- [i2]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Hoeffding Trees with nmin adaptation. CoRR abs/1808.01145 (2018) - 2017
- [i1]Eva García Martín, Niklas Lavesson:
Is it ethical to avoid error analysis? CoRR abs/1706.10237 (2017)
Coauthor Index
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