Towards cost-sensitive adaptation: When is it worth updating your predictive model?
Žliobaitė, Indrė, Budka, Marcin, Stahl, Frederic
Published in Neurocomputing (Amsterdam) (20.02.2015)
Published in Neurocomputing (Amsterdam) (20.02.2015)
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Journal Article
Adaptive Preprocessing for Streaming Data
Zliobaite, Indre, Gabrys, Bogdan
Published in IEEE transactions on knowledge and data engineering (01.02.2014)
Published in IEEE transactions on knowledge and data engineering (01.02.2014)
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Journal Article
Evaluation methods and decision theory for classification of streaming data with temporal dependence
Žliobaitė, Indrė, Bifet, Albert, Read, Jesse, Pfahringer, Bernhard, Holmes, Geoff
Published in Machine learning (01.03.2015)
Published in Machine learning (01.03.2015)
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Journal Article
Identifying climate thresholds for dominant natural vegetation types at the global scale using machine learning: Average climate versus extremes
Beigaitė, Rita, Tang, Hui, Bryn, Anders, Skarpaas, Olav, Stordal, Frode, Bjerke, Jarle W., Žliobaitė, Indrė
Published in Global change biology (01.06.2022)
Published in Global change biology (01.06.2022)
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Journal Article
Quantifying mammalian diets
Lintulaakso, Kari, Tatti, Nikolaj, Žliobaitė, Indrė
Published in Mammalian biology : Zeitschrift für Säugetierkunde (01.02.2023)
Published in Mammalian biology : Zeitschrift für Säugetierkunde (01.02.2023)
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Journal Article
A Humboldtian approach to life and climate of the geological past: Estimating palaeotemperature from dental traits of mammalian communities
Oksanen, Otto, Žliobaitė, Indrė, Saarinen, Juha, Lawing, A. Michelle, Fortelius, Mikael
Published in Journal of biogeography (01.08.2019)
Published in Journal of biogeography (01.08.2019)
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Journal Article
Improving Adaptation through Evolution and Learning: A Response to Watson and Szathmáry
Žliobaitė, Indrė, Stenseth, Nils Chr
Published in Trends in ecology & evolution (Amsterdam) (01.12.2016)
Published in Trends in ecology & evolution (Amsterdam) (01.12.2016)
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