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Luís Cruz
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A systematic review of Green AI
R Verdecchia, J Sallou, L Cruz
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (4 …, 2023
1732023
A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance
P Strecht, L Cruz, C Soares, J Mendes-Moreira, R Abreu
Educational Data Mining 2015, 2015
171*2015
AI lifecycle models need to be revised
M Haakman, L Cruz, H Huijgens, A van Deursen
Empirical Software Engineering 26 (5), 1-29, 2021
1432021
Performance-based Guidelines for Energy Efficient Mobile Applications
L Cruz, R Abreu
IEEE/ACM International Conference on Mobile Software Engineering and Systems …, 2017
131*2017
Catalog of Energy Patterns for Mobile Applications
L Cruz, R Abreu
Empirical Software Engineering, 2019
1132019
Data-centric Green AI: An Exploratory Empirical Study
R Verdecchia, L Cruz, J Sallou, M Lin, J Wickenden, E Hotellier
2022 International Conference on ICT for Sustainability (ICT4S), 35-45, 2022
642022
To the attention of mobile software developers: guess what, test your app!
L Cruz, R Abreu, D Lo
Empirical Software Engineering 24, 2438-2468, 2019
602019
Leafactor: Improving Energy Efficiency of Android Apps via Automatic Refactoring
L Cruz, R Abreu, JN Rouvignac
IEEE/ACM International Conference on Mobile Software Engineering and Systems …, 2017
58*2017
The prevalence of code smells in machine learning projects
B Van Oort, L Cruz, M Aniche, A Van Deursen
2021 IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI …, 2021
532021
Using Automatic Refactoring to Improve Energy Efficiency of Android Apps
L Cruz, R Abreu
CIbSE XXI Ibero-American Conference on Software Engineering, 2018
482018
A wearable and mobile intervention delivery system for individuals with panic disorder
L Cruz, J Rubin, R Abreu, S Ahern, H Eldardiry, DG Bobrow
Proceedings of the 14th International Conference on Mobile and Ubiquitous …, 2015
352015
Code smells for machine learning applications
H Zhang, L Cruz, A Van Deursen
Proceedings of the 1st international conference on AI engineering: software …, 2022
342022
An analysis of 35+ million jobs of Travis CI
T Durieux, R Abreu, M Monperrus, TF Bissyandé, L Cruz
2019 IEEE International Conference on Software Maintenance and Evolution …, 2019
342019
Do energy-oriented changes hinder maintainability?
L Cruz, R Abreu, J Grundy, L Li, X Xia
2019 IEEE International conference on software maintenance and evolution …, 2019
342019
Tools to measure software energy consumption from your computer
L Cruz
Blog post, 2021
312021
On the energy footprint of mobile testing frameworks
L Cruz, R Abreu
IEEE Transactions on Software Engineering 47 (10), 2260-2271, 2019
292019
Uncovering energy-efficient practices in deep learning training: Preliminary steps towards green ai
T Yarally, L Cruz, D Feitosa, J Sallou, A Van Deursen
2023 IEEE/ACM 2nd International Conference on AI Engineering–Software …, 2023
282023
Data smells in public datasets
A Shome, L Cruz, A Van Deursen
Proceedings of the 1st International Conference on AI Engineering: Software …, 2022
222022
EMaaS: Energy measurements as a service for mobile applications
L Cruz, R Abreu
2019 IEEE/ACM 41st International Conference on Software Engineering: New …, 2019
19*2019
Are concept drift detectors reliable alarming systems?-a comparative study
L Poenaru-Olaru, L Cruz, A van Deursen, JS Rellermeyer
2022 IEEE International Conference on Big Data (Big Data), 3364-3373, 2022
162022
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