| A systematic review of Green AI R Verdecchia, J Sallou, L Cruz Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (4 …, 2023 | 179 | 2023 |
| 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 | 172* | 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 | 143 | 2021 |
| Performance-based Guidelines for Energy Efficient Mobile Applications L Cruz, R Abreu IEEE/ACM International Conference on Mobile Software Engineering and Systems …, 2017 | 132* | 2017 |
| Catalog of Energy Patterns for Mobile Applications L Cruz, R Abreu Empirical Software Engineering, 2019 | 115 | 2019 |
| 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 | 65 | 2022 |
| 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 | 61 | 2019 |
| 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 | 53 | 2021 |
| Using Automatic Refactoring to Improve Energy Efficiency of Android Apps L Cruz, R Abreu CIbSE XXI Ibero-American Conference on Software Engineering, 2018 | 49 | 2018 |
| 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 | 35 | 2015 |
| Code smells for machine learning applications H Zhang, L Cruz, A Van Deursen Proceedings of the 1st international conference on AI engineering: software …, 2022 | 34 | 2022 |
| 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 | 34 | 2019 |
| 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 | 34 | 2019 |
| Tools to measure software energy consumption from your computer L Cruz Blog post, 2021 | 31 | 2021 |
| 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 | 29 | 2023 |
| On the energy footprint of mobile testing frameworks L Cruz, R Abreu IEEE Transactions on Software Engineering 47 (10), 2260-2271, 2019 | 29 | 2019 |
| Data smells in public datasets A Shome, L Cruz, A Van Deursen Proceedings of the 1st International Conference on AI Engineering: Software …, 2022 | 22 | 2022 |
| 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 | 16 | 2022 |
Rui AbreuMeta Platforms, Inc and University of Porto/INESC-IDEmail confirmado em fe.up.pt