Research output per year
Research output per year
Personal profile
Education/Academic qualification
Dipl.ins., tietotekniikka
Award Date: 17 Jun 2015
Diplomi-insinööri, tietotekniikan koulutusohjelma, Aalto-yliopisto
Award Date: 17 May 2015
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Dive into the research topics where Jonathan Strahl is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Research output
- 4 Conference contribution
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Directing and Combining Multiple Queries for Exploratory Search by Visual Interactive Intent Modeling
Strahl, J., Peltonen, J. & Floreen, P., 2021, Human-Computer Interaction – INTERACT 2021 - 18th IFIP TC 13 International Conference, Proceedings. Ardito, C., Lanzilotti, R., Malizia, A., Malizia, A., Petrie, H., Piccinno, A., Desolda, G. & Inkpen, K. (eds.). Springer, p. 514-535 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12934 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access1 Citation (Scopus) -
Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Strahl, J., Peltonen, J., Mamitsuka, H. & Kaski, S., 3 Apr 2020, Proceedings of AAAI-20, AAAI Conference on Artificial Intelligence. AAAI Press, p. 5851-5858 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34, no. 4).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access -
Negative relevance feedback for exploratory search with visual interactive intent modeling
Peltonen, J., Strahl, J. & Floréen, P., 7 Mar 2017, IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces. ACM, p. 149-159 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile23 Citations (Scopus)270 Downloads (Pure) -
A gaussian process reinforcement learning algorithm with adaptability and minimal tuning requirements
Strahl, J., Honkela, T. & Wagner, P., 2014, Artificial Neural Networks and Machine Learning, ICANN 2014 - 24th International Conference on Artificial Neural Networks, Proceedings. Springer, Vol. 8681 LNCS. p. 371-378 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8681 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
3 Citations (Scopus)
Projects
- 4 Finished
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-: Intelligent Crop Production: Data-integrative, Multi-task Learning Meets Crop Simulator
Mamitsuka, H., Nariman Zadeh, H., Strahl, J., Guvenc, B., Ji, S., Rissanen, S., Honkamaa, J., Pöllänen, A., Hiremath, S. & Ojala, F.
01/01/2018 → 31/12/2022
Project: Academy of Finland: Other research funding
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Data-Driven Decision Support for Digital Health
Kaski, S., Eranti, P., Strahl, J., Vuollekoski, H., Blomstedt, P., Sundin, I., Hegde, P., Daee, P. & Niinimäki, T.
01/01/2016 → 30/06/2018
Project: Academy of Finland: Other research funding
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FiDiPro - Machine Learning for Augmented Science and Knowledge Work
Guvenc, B., Mamitsuka, H., Kaski, S., Gillberg, L., Eranti, P., Strahl, J., Rezaei Yousefi, Z., Gisbrecht, A. & Peltonen, J.
01/01/2015 → 31/12/2018
Project: Business Finland: Other research funding