Niklas Lavesson
Niklas Lavesson publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Data Mining Algorithms and Applications, Imbalanced Data Classification Techniques and Explainable Artificial Intelligence (XAI).
- World rank
- #922,252 of 1,633,909 ranked researchers
- Rank in Sweden
- #10,811 of 16,333
- Works
- 35
- Citations
- 85
- Citations per work
- 2.4
What does Niklas Lavesson research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence21% of their works
- 2Information Systems17% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Signal Processing10% of their works
- 5Computer Networks and Communications3% of their works
- 6Media Technology3% of their works
Research topics
- Data Mining Algorithms and Applications
- Imbalanced Data Classification Techniques
- Explainable Artificial Intelligence (XAI)
- Machine Learning and Data Classification
- Data Stream Mining Techniques
- Software Engineering Techniques and Practices
- Data Management and Algorithms
- Advanced Malware Detection Techniques
Which keywords describe Niklas Lavesson's research?
The keywords of their largest research topics: Machine Learning, Classification, Data Mining, Deep Neural Networks, Frequent Patterns, Imbalanced Data, SMOTE and Agile Software Development.
- Noisy Labels
- Interpretable Models
- GPS Trajectories
- Detection
- Concept Drift
- Agile Software Development
- Imbalanced Data
- Deep Neural Networks
- Classification
- Machine Learning
- Data Mining
- Frequent Patterns
- SMOTE
- Android Malware
- Data Streams
- Empirical Studies
- Hyperparameter Optimization
- Machine Learning Interpretability
- Trajectory Data Mining
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Machine Learning62 topics
- Classification52 topics
- Data Mining41 topic
- Deep Neural Networks42 topics
- Frequent Patterns41 topic
- Imbalanced Data31 topic
- SMOTE31 topic
- Agile Software Development21 topic
- Android Malware21 topic
- Concept Drift21 topic
- Data Streams21 topic
- Detection21 topic
- Empirical Studies21 topic
- GPS Trajectories21 topic
- Hyperparameter Optimization21 topic
- Interpretable Models21 topic
- Machine Learning Interpretability21 topic
- Noisy Labels21 topic
- Trajectory Data Mining21 topic
Where does Niklas Lavesson work?
Niklas Lavesson's main affiliation in the publication record is Blekinge Institute of Technology, Sweden.
How many publications and citations does Niklas Lavesson have?
Science Explorer counts 35 works and 85 citations for Niklas Lavesson, ranking #922,252 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.