Projects per year
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Dive into the research topics where Timo Lintonen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Active
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6GLearn: Radio Channel Aware Machine Learning based 6G Design
Kiviranta, M. (Manager), Moilanen, I. (Participant) & Lintonen, T. (Participant)
1/01/23 → 31/12/25
Project: Business Finland project
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EURMARS: An advanced surveillance platform to improve the EURopean Multi Authority BordeR Security efficiency and cooperation
Salmela, L. (Manager), Toivonen, S. (Participant), Laarni, J. (Participant), Väätänen, A. (Participant), Lintonen, T. (Participant) & Keränen, J. (Participant)
1/10/22 → 30/09/25
Project: EU project
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Ray Tracing Assisted Radar Detection in 6G
Moilanen, I., Lintonen, T., Kiviranta, M., Sangi, P., Pyhtilä, J., Pirinen, P. & Juntti, M., 11 Dec 2023, 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall). IEEE Institute of Electrical and Electronic Engineers, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Assessment of the Clusterability of Data Using a Multimodal Convolutional Neural Network
Reunanen, N., Räty, T., Lintonen, T. & Jokinen, J., 1 Jun 2022, In: IEEE Transactions on Artificial Intelligence. 3, 3, p. 355-369Research output: Contribution to journal › Article › Scientific › peer-review
Open Access1 Citation (Scopus) -
Automatic optimization of outlier detection ensembles using a limited number of outlier examples
Reunanen, N., Räty, T. & Lintonen, T. (Corresponding Author), 1 Oct 2020, In: International Journal of Data Science and Analytics. 10, 4, p. 377-394Research output: Contribution to journal › Article › Scientific › peer-review
Open Access11 Citations (Scopus) -
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 journal › Article › Scientific › peer-review
31 Citations (Scopus) -
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 journal › Article › Scientific › peer-review
11 Citations (Scopus)