20072019
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Fingerprint Dive into the research topics where Tomi Räty is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 45 Similar Profiles
Testing Engineering & Materials Science
Sensors Engineering & Materials Science
Servers Engineering & Materials Science
Graphical user interfaces Engineering & Materials Science
Decision making Engineering & Materials Science
Intrusion detection Engineering & Materials Science
Personnel Engineering & Materials Science
Monitoring Engineering & Materials Science

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Research Output 2007 2019

  • 26 Conference article in proceedings
  • 13 Article
  • 1 Chapter or book article
  • 1 Dissertation
1 Citation (Scopus)
23 Downloads (Pure)

Analysis of large sparse graphs using regular decomposition of graph distance matrices

Reittu, H., Leskelä, L., Fiorucci, M. & Räty, T., 22 Jan 2019, 2018 IEEE International Conference on Big Data (Big Data). IEEE Institute of Electrical and Electronic Engineers , p. 3784-3792 8622118

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Open Access
File
Decomposition
Structural properties
Statistical methods

Clustering structure analysis in time-series data with density-based clusterability measure

Jokinen, J., Raty, T. & Lintonen, T., Nov 2019, In : IEEE/CAA Journal of Automatica Sinica. 6, 6, p. 1332-1343 12 p., 8894746.

Research output: Contribution to journalArticleScientificpeer-review

Time series
Cluster analysis
Clustering algorithms

Regular Decomposition of Large Graphs: Foundation of a Sampling Approach to Stochastic Block Model Fitting

Reittu, H., Norros, I., Räty, T., Bolla, M. & Bazsó, F., 7 Mar 2019, In : Data Science and Engineering. 4, 1, p. 44-60 17 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Sampling
Decomposition
Maximum likelihood

Self-learning of multivariate time series using perceptually important points

Lintonen, T. & Raty, T., Nov 2019, In : IEEE/CAA Journal of Automatica Sinica. 6, 6, p. 1318-1331 14 p., 8894745.

Research output: Contribution to journalArticleScientificpeer-review

Time series
Supervised learning
Learning systems
Labels

Unsupervised online detection and prediction of outliers in streams of sensor data

Reunanen, N., Räty, T., Jokinen, J. J., Hoyt, T. & Culler, D., 3 Jun 2019, In : International Journal of Data Science and Analytics.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Sensors
Logistics
Experiments
Data storage equipment
Costs