Energy Efficiency in Data Stream Mining. - Eva García Martín; Niklas Lavesson; Håkan Grahn (ASONAM, 2015)

Hashtags and followers - An experimental study of the online social network Twitter. - Eva García Martín; Niklas Lavesson; Mina Doroud (Soc. Netw. Anal. Min., 2016)

Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree. - Eva García Martín; Niklas Lavesson; Håkan Grahn (GPC, 2017)

Energy Efficiency in Machine Learning: A position paper. - Eva García Martín; Niklas Lavesson; Håkan Grahn; Veselka Boeva (SAIS, 2017)

Is it ethical to avoid error analysis? - Eva García Martín; Niklas Lavesson (CoRR, 2017)

Hoeffding Trees with Nmin Adaptation. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (DSAA, 2018)

How to Measure Energy Consumption in Machine Learning Algorithms. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Handling Non-linear Relations in Support Vector Machines through Hyperplane Folding. - Lars Lundberg; Håkan Lennerstad; Veselka Boeva; Eva García-Martín (ICMLC, 2019)

Estimation of energy consumption in machine learning. - Eva García-Martín; Crefeda Faviola Rodrigues; Graham D. Riley; Håkan Grahn (J. Parallel Distributed Comput., 2019)

Energy Efficiency in Machine Learning: Approaches to Sustainable Data Stream Mining. - Eva García Martín (2020)

Energy modeling of Hoeffding tree ensembles. - Eva García-Martín; Albert Bifet; Niklas Lavesson (Intell. Data Anal., 2021)

Energy-aware very fast decision tree. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (Int. J. Data Sci. Anal., 2021)

Green Accelerated Hoeffding Tree. - Eva García-Martín; Albert Bifet; Niklas Lavesson; Rikard König; Henrik Linusson (CoRR, 2022)