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Eva García-Martín
Eva García-Martín
PhD in Machine Learning. Data Scientist at Ekkono Solutions
Verified email at ekkono.ai - Homepage
Title
Cited by
Cited by
Year
Estimation of energy consumption in machine learning
E García-Martín, CF Rodrigues, G Riley, H Grahn
Journal of Parallel and Distributed Computing 134, 75-88, 2019
1642019
Hashtags and followers: An experimental study of the online social network Twitter
EG Martín, N Lavesson, M Doroud
Social Network Analysis and Mining 6 (1), 12, 2016
24*2016
Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree
E Garcia-Martin, N Lavesson, H Grahn
Green, Pervasive, and Cloud Computing: 12th International Conference, GPC …, 2017
162017
Energy Efficiency in Machine Learning: A position paper
E García-Martín, N Lavesson, H Grahn, V Boeva
30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS …, 2017
152017
How to measure energy consumption in machine learning algorithms
E García-Martín, N Lavesson, H Grahn, E Casalicchio, V Boeva
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
82018
Hoeffding Trees with nmin adaptation
E García-Martín, N Lavesson, H Grahn, E Casalicchio, V Boeva
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
52018
Energy efficiency analysis of the very fast decision tree algorithm
E Garcia-Martin, N Lavesson, H Grahn
Trends in Social Network Analysis, 229-252, 2017
52017
Energy Efficiency in Data Stream Mining
E Garcia-Martin, N Lavesson, H Grahn
Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015
5*2015
Extraction and energy efficient processing of streaming data
E García-Martín
Blekinge Tekniska Högskola, 2017
42017
Energy Efficiency in Machine Learning: Approaches to Sustainable Data Stream Mining
E García Martín
Blekinge Tekniska Högskola, 2020
32020
Is it ethical to avoid error analysis?
E García-Martín, N Lavesson
2017 Workshop on Fairness, Accountability, and Transparency in Machine …, 2017
32017
Handling non-linear relations in support vector machines through hyperplane folding
L Lundberg, H Lennerstad, V Boeva, E García-Martín
Proceedings of the 2019 11th International Conference on Machine Learning …, 2019
22019
Trend analysis to automatically identify heat program changes
S Abghari, E Garcia-Martin, C Johansson, N Lavesson, H Grahn
Energy Procedia 116, 407-415, 2017
22017
Green Accelerated Hoeffding Tree
E Garcia-Martin, A Bifet, N Lavesson, R König, H Linusson
arXiv preprint arXiv:2205.03184, 2022
12022
Energy-aware very fast decision tree
E García-Martín, N Lavesson, H Grahn, E Casalicchio, V Boeva
International Journal of Data Science and Analytics 11 (2), 105-126, 2021
12021
Energy modeling of Hoeffding tree ensembles
E García-Martín, A Bifet, N Lavesson
Intelligent Data Analysis 25 (1), 81-104, 2021
2021
Is it Ethical to Avoid Error Analysis?
EG Martín, N Lavesson
arXiv, 2017
2017
MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities
CIC Alzate, A Monreale, H Assem, A Bifet, TS Buda, B Caglayan, B Drury, ...
Hyperplane Folding–a Way to Increase the Margin in Support Vector Machines
L Lundberg, H Lennerstad, E Garcia-Martin, N Lavesson, V Boeva
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Articles 1–19