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ORCIDEva García Martín
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Books and Theses
- 2020
[b1]Eva García Martín:
Energy Efficiency in Machine Learning: Approaches to Sustainable Data Stream Mining. Blekinge Institute of Technology, Sweden, 2020
Journal Articles
- 2021
- [j4]Eva García-Martín, Albert Bifet
, Niklas Lavesson:
Energy modeling of Hoeffding tree ensembles. Intell. Data Anal. 25(1): 81-104 (2021) - [j3]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Energy-aware very fast decision tree. Int. J. Data Sci. Anal. 11(2): 105-126 (2021) - 2019
- [j2]Eva García-Martín, Crefeda Faviola Rodrigues, Graham D. Riley, Håkan Grahn:
Estimation of energy consumption in machine learning. J. Parallel Distributed Comput. 134: 75-88 (2019) - 2016
- [j1]Eva García Martín, Niklas Lavesson, Mina Doroud:
Hashtags and followers - An experimental study of the online social network Twitter. Soc. Netw. Anal. Min. 6(1): 12:1-12:15 (2016)
Conference and Workshop Papers
- 2019
- [c6]Lars Lundberg, Håkan Lennerstad, Veselka Boeva, Eva García-Martín:
Handling Non-linear Relations in Support Vector Machines through Hyperplane Folding. ICMLC 2019: 137-141 - 2018
- [c5]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Hoeffding Trees with Nmin Adaptation. DSAA 2018: 70-79 - [c4]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
How to Measure Energy Consumption in Machine Learning Algorithms. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 243-255 - 2017
- [c3]Eva García Martín, Niklas Lavesson, Håkan Grahn:
Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree. GPC 2017: 267-281 - [c2]Eva García Martín, Niklas Lavesson, Håkan Grahn, Veselka Boeva:
Energy Efficiency in Machine Learning: A position paper. SAIS 2017: 137:008 - 2015
- [c1]Eva García Martín, Niklas Lavesson, Håkan Grahn:
Energy Efficiency in Data Stream Mining. ASONAM 2015: 1125-1132
Editorship
- 2019
- [e1]Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents]
Informal and Other Publications
- 2022
- [i3]Eva García-Martín, Albert Bifet, Niklas Lavesson, Rikard König, Henrik Linusson:
Green Accelerated Hoeffding Tree. CoRR abs/2205.03184 (2022) - 2018
- [i2]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Hoeffding Trees with nmin adaptation. CoRR abs/1808.01145 (2018) - 2017
- [i1]Eva García Martín, Niklas Lavesson:
Is it ethical to avoid error analysis? CoRR abs/1706.10237 (2017)
Coauthor Index
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