Personal profile
Education/Academic qualification
Doctor of Philosophy, informatics, Vilnius University
Award Date: 1 Apr 2010
Keywords
- Adaptation
- Concept drift
- Evolving data streams
- Change detection
- Predictive analytics
- Discrimination aware data mining
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 13 Climate Action -
SDG 15 Life on Land
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Predicting habitat suitability for Asian elephants in non-analog ecosystems with Bayesian models
Noda, R., Mechenich, M. F., Saarinen, J., Vehtari, A. & Žliobaitė, I., Sept 2024, In: Ecological Informatics. 82, p. 1-15 15 p., 102658.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Citations (Scopus)61 Downloads (Pure) -
A survey of evaluation methods for personal route and destination prediction from mobility traces
Stegmann, R. A., Žliobaitė, I., Tolvanen, T., Hollmén, J. & Read, J., 1 Mar 2018, In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 8, 2, p. 1-18 e1237.Research output: Contribution to journal › Review Article › peer-review
11 Citations (Scopus) -
Computational biomes: The ecometrics of large mammal teeth
Galbrun, E., Tang, H., Fortelius, M. & Žliobaitė, I., 1 Jan 2018, In: Palaeontologia Electronica. 21, 1, p. 1-31 3A.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile15 Citations (Scopus)169 Downloads (Pure) -
A 5.3 pJ/op approximate TTA VLIW tailored for machine learning
Teittinen, J., Hiienkari, M., Zliobaite, I., Hollmen, J., Berg, H., Heiskala, J., Viitanen, T., Simonsson, J. & Koskinen, L., 1 Mar 2017, In: Microelectronics Journal. 61, p. 106-113 8 p.Research output: Contribution to journal › Article › Scientific › peer-review
4 Citations (Scopus) -
BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints
Maslov, A., Pechenizkiy, M., Pel, Y., Zliobaite, I., Shklyaev, A., Karkkainen, T. & Hollmen, J., 30 Jun 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. IEEE, p. 1916-1923 8 p. 7966085. (Proceedings of International Joint Conference on Neural Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
4 Citations (Scopus)