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researcher

Niklas Lavesson

Blekinge Institute of Technology

4 papers hereh-index 201.2k citations91 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CY1
  • cs.SE1
affiliations
  • Blekinge Institute of Technology
  • Jönköping University
Homepage

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedLarge-scale information retrieval in software engineering -- an experience report from industrial application

18 citations · 19 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SE2023★ 18 cited

Large-scale information retrieval in software engineering -- an experience report from industrial application

Michael Unterkalmsteiner, Tony Gorschek, Robert Feldt +1

Software Engineering activities are information intensive. Research proposes Information Retrieval (IR) techniques to support engineers in their daily tasks, such as establishing a…

cs.LG2022

Green Accelerated Hoeffding Tree

Eva Garcia-Martin, Albert Bifet, Niklas Lavesson +2

State-of-the-art machine learning solutions mainly focus on creating highly accurate models without constraints on hardware resources. Stream mining algorithms are designed to run…

cs.LG2018★ 1 cited

Hoeffding Trees with nmin adaptation

Eva García-Martín, Niklas Lavesson, Håkan Grahn +2

Machine learning software accounts for a significant amount of energy consumed in data centers. These algorithms are usually optimized towards predictive performance, i.e. accuracy…

cs.CY2017

Is it ethical to avoid error analysis?

Eva García-Martín, Niklas Lavesson

Machine learning algorithms tend to create more accurate models with the availability of large datasets. In some cases, highly accurate models can hide the presence of bias in the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.