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Luis Cruz 0002
Person information
- affiliation: TU Delft, The Netherlands
- affiliation (PhD 2019): University of Porto / INESC ID, Portugal
Other persons with the same name
- Luís Alberto da Silva Cruz (aka: Luis Cruz 0001) — University of Coimbra, Department of Electrical and Computer Engineering, Portugal
- Luis Cruz 0003 (aka: Luís Cruz 0003) — Drexel University, Department of Physics, Philadelphia, PA, USA (and 2 more)
- Luis Cruz 0004 — Cinvestav, Computer Science Department, México City, México
- Luis Cruz 0005 — University of Coimbra, Faculty of Economics / CeBER, Portugal (and 1 more)
- Luis Cruz 0006 — Communication Network Institute, Design Automation for Embedded Systems Group, Dortmund, Germany
- Luis Cruz 0007 — Bosch Security and Safety Systems, Ovar, Portugal
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2020 – today
- 2024
- [c36]Nienke Nijkamp, June Sallou, Niels van der Heijden, Luís Cruz:
Green AI in Action: Strategic Model Selection for Ensembles in Production. AIware 2024 - [c35]Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz:
Green Runner: A Tool for Efficient Deep Learning Component Selection. CAIN 2024: 112-117 - [c34]Lorena Poenaru-Olaru, Natalia Karpova, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen:
Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World. CAIN 2024: 222-233 - [c33]Eileen Kapel, Luis Cruz, Diomidis Spinellis, Arie van Deursen:
Enhancing Incident Management: Insights from a Case Study at ING. FinanSE@ICSE 2024: 1-8 - [c32]Pooja Rani, Jonas Zellweger, Veronika Kousadianos, Luis Cruz, Timo Kehrer, Alberto Bacchelli:
Energy Patterns for Web: An Exploratory Study. ICSE (SEIS) 2024: 12-22 - [c31]Eileen Kapel, Luis Cruz, Diomidis Spinellis, Arie van Deursen:
On the Difficulty of Identifying Incident-Inducing Changes. ICSE-SEIP 2024: 36-46 - [c30]Arumoy Shome, Luís Cruz, Arie van Deursen:
Data vs. Model Machine Learning Fairness Testing: An Empirical Study. ICSE Companion 2024: 366-367 - [c29]Arumoy Shome, Luis Cruz, Arie van Deursen:
Data vs. Model Machine Learning Fairness Testing: An Empirical Study. DeepTest@ICSE 2024 - [c28]Arumoy Shome, Luis Cruz, Arie van Deursen:
Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions. NLBSE@ICSE 2024: 29-32 - [i34]Pooja Rani, Jonas Zellweger, Veronika Kousadianos, Luis Cruz, Timo Kehrer, Alberto Bacchelli:
Energy Patterns for Web: An Exploratory Study. CoRR abs/2401.06482 (2024) - [i33]Arumoy Shome, Luis Cruz, Arie van Deursen:
Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions. CoRR abs/2401.07696 (2024) - [i32]Arumoy Shome, Luis Cruz, Arie van Deursen:
Data vs. Model Machine Learning Fairness Testing: An Empirical Study. CoRR abs/2401.07697 (2024) - [i31]Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen:
McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions. CoRR abs/2401.14093 (2024) - [i30]Nienke Nijkamp, June Sallou, Niels van der Heijden, Luis Cruz:
Green AI in Action: Strategic Model Selection for Ensembles in Production. CoRR abs/2405.17451 (2024) - [i29]Luís Cruz, Xavier Franch Gutierrez, Silverio Martínez-Fernández:
Innovating for Tomorrow: The Convergence of SE and Green AI. CoRR abs/2406.18142 (2024) - [i28]Arumoy Shome, Luis Cruz, Diomidis Spinellis, Arie van Deursen:
Understanding Feedback Mechanisms in Machine Learning Jupyter Notebooks. CoRR abs/2408.00153 (2024) - [i27]Enrique Barba Roque, Luis Cruz, Thomas Durieux:
Unveiling the Energy Vampires: A Methodology for Debugging Software Energy Consumption. CoRR abs/2412.10063 (2024) - 2023
- [j7]Roberto Verdecchia, June Sallou, Luis Cruz:
A systematic review of Green AI. WIREs Data. Mining. Knowl. Discov. 13(4) (2023) - [c27]Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen:
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI. CAIN 2023: 25-36 - [c26]Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen:
Maintaining and Monitoring AIOps Models Against Concept Drift. CAIN 2023: 98-99 - [c25]Arumoy Shome, Luís Cruz, Arie van Deursen:
Towards Understanding Machine Learning Testing in Practise. CAIN 2023: 117-118 - [c24]Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie van Deursen:
Batching for Green AI - An Exploratory Study on Inference. SEAA 2023: 112-119 - [c23]Santiago del Rey, Silverio Martínez-Fernández, Luís Cruz, Xavier Franch:
Do DL models and training environments have an impact on energy consumption? SEAA 2023: 150-158 - [c22]Wander Siemers, June Sallou, Luís Cruz:
The Two Faces of AI in Green Mobile Computing: A Literature Review. SEAA 2023: 301-309 - [c21]Lorena Poenaru-Olaru, June Sallou, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen:
Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques. GREENS@ICSE 2023: 17-18 - [d2]Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie van Deursen:
Material of the paper entitled "Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI". Zenodo, 2023 - [i26]Roberto Verdecchia, June Sallou, Luis Cruz:
A Systematic Review of Green AI. CoRR abs/2301.11047 (2023) - [i25]Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie van Deursen:
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI. CoRR abs/2303.13972 (2023) - [i24]Arumoy Shome, Luis Cruz, Arie van Deursen:
Towards Understanding Machine Learning Testing in Practise. CoRR abs/2305.04988 (2023) - [i23]Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz:
Green Runner: A tool for efficient model selection from model repositories. CoRR abs/2305.16849 (2023) - [i22]Santiago del Rey, Silverio Martínez-Fernández, Luís Cruz, Xavier Franch:
Do DL models and training environments have an impact on energy consumption? CoRR abs/2307.05520 (2023) - [i21]Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen:
Batching for Green AI - An Exploratory Study on Inference. CoRR abs/2307.11434 (2023) - [i20]Wander Siemers, June Sallou, Luis Cruz:
The Two Faces of AI in Green Mobile Computing: A Literature Review. CoRR abs/2308.04436 (2023) - [i19]Lorena Poenaru-Olaru, Natalia Karpova, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen:
Maintenance Techniques for Anomaly Detection AIOps Solutions. CoRR abs/2311.10421 (2023) - [i18]June Sallou, Luis Cruz, Thomas Durieux:
EnergiBridge: Empowering Software Sustainability through Cross-Platform Energy Measurement. CoRR abs/2312.13897 (2023) - 2022
- [c20]Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer:
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study. IEEE Big Data 2022: 3364-3373 - [c19]Arumoy Shome, Luís Cruz, Arie van Deursen:
Data smells in public datasets. CAIN 2022: 205-216 - [c18]Haiyin Zhang, Luís Cruz, Arie van Deursen:
Code smells for machine learning applications. CAIN 2022: 217-228 - [c17]Jai Kannan, Scott Barnett, Luis Cruz, Anj Simmons, Akash Agarwal:
MLSmellHound: A Context-Aware Code Analysis Tool. ICSE (NIER) 2022: 66-70 - [c16]Bart van Oort, Luis Cruz, Babak Loni, Arie van Deursen:
"Project smells" - Experiences in Analysing the Software Quality of ML Projects with mllint. ICSE (SEIP) 2022: 211-220 - [c15]Roberto Verdecchia, Luís Cruz, June Sallou, Michelle Lin, James Wickenden, Estelle Hotellier:
Data-Centric Green AI An Exploratory Empirical Study. ICT4S 2022: 35-45 - [c14]Ching-Chi Chuang, Luís Cruz, Robbert van Dalen, Vladimir Mikovski, Arie van Deursen:
Removing dependencies from large software projects: are you really sure? SCAM 2022: 105-115 - [d1]Luis Cruz, Rui Abreu:
On the Energy Footprint of Mobile Testing Frameworks. IEEE DataPort, 2022 - [i17]Bart van Oort, Luis Cruz, Babak Loni, Arie van Deursen:
"Project smells" - Experiences in Analysing the Software Quality of ML Projects with mllint. CoRR abs/2201.08246 (2022) - [i16]Arumoy Shome, Luis Cruz, Arie van Deursen:
Data Smells in Public Datasets. CoRR abs/2203.08007 (2022) - [i15]Haiyin Zhang, Luis Cruz, Arie van Deursen:
Code Smells for Machine Learning Applications. CoRR abs/2203.13746 (2022) - [i14]Roberto Verdecchia, Luís Cruz, June Sallou, Michelle Lin, James Wickenden, Estelle Hotellier:
Data-Centric Green AI: An Exploratory Empirical Study. CoRR abs/2204.02766 (2022) - [i13]Jai Kannan, Scott Barnett, Luís Cruz, Anj Simmons, Akash Agarwal:
MLSmellHound: A Context-Aware Code Analysis Tool. CoRR abs/2205.03790 (2022) - [i12]Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer:
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study. CoRR abs/2211.13098 (2022) - 2021
- [j6]Mark Haakman, Luis Cruz, Hennie Huijgens, Arie van Deursen:
AI lifecycle models need to be revised. Empir. Softw. Eng. 26(5): 95 (2021) - [j5]Sofia Reis, Rui Abreu, Luis Cruz:
Fixing vulnerabilities potentially hinders maintainability. Empir. Softw. Eng. 26(6): 127 (2021) - [j4]Luis Cruz, Rui Abreu:
On the Energy Footprint of Mobile Testing Frameworks. IEEE Trans. Software Eng. 47(10): 2260-2271 (2021) - [c13]Bart van Oort, Luis Cruz, Maurício Aniche, Arie van Deursen:
The Prevalence of Code Smells in Machine Learning projects. WAIN@ICSE 2021: 35-42 - [c12]Yuanhao Xie, Luis Cruz, Petra Heck, Jan S. Rellermeyer:
Systematic Mapping Study on the Machine Learning Lifecycle. WAIN@ICSE 2021: 70-73 - [p1]Daniel Feitosa, Luís Cruz, Rui Abreu, João Paulo Fernandes, Marco Couto, João Saraiva:
Patterns and Energy Consumption: Design, Implementation, Studies, and Stories. Software Sustainability 2021: 89-121 - [i11]Bart van Oort, Luis Cruz, Maurício Finavaro Aniche, Arie van Deursen:
The Prevalence of Code Smells in Machine Learning projects. CoRR abs/2103.04146 (2021) - [i10]Yuanhao Xie, Luis Cruz, Petra Heck, Jan S. Rellermeyer:
Systematic Mapping Study on the Machine Learning Lifecycle. CoRR abs/2103.10248 (2021) - [i9]Sofia Reis, Rui Abreu, Luis Cruz:
Fixing Vulnerabilities Potentially Hinders Maintainability. CoRR abs/2106.03271 (2021) - [i8]Rui Abreu, Marco Couto, Luís Cruz, Jácome Cunha, João Paulo Fernandes, Rui Pereira, Alexandre Perez, João Saraiva:
Green Software Lab: Towards an Engineering Discipline for Green Software. CoRR abs/2108.03028 (2021) - 2020
- [i7]Mark Haakman, Luis Cruz, Hennie Huijgens, Arie van Deursen:
AI Lifecycle Models Need To Be Revised. An Exploratory Study in Fintech. CoRR abs/2010.02716 (2020)
2010 – 2019
- 2019
- [b1]Luis Cruz:
Tools and Techniques for Energy-Efficient Mobile Application Development. University of Porto, Portugal, 2019 - [j3]Luis Cruz, Rui Abreu:
Catalog of energy patterns for mobile applications. Empir. Softw. Eng. 24(4): 2209-2235 (2019) - [j2]Luis Cruz, Rui Abreu, David Lo:
To the attention of mobile software developers: guess what, test your app! Empir. Softw. Eng. 24(4): 2438-2468 (2019) - [j1]Luis Cruz, Rui Abreu:
Improving Energy Efficiency Through Automatic Refactoring. J. Softw. Eng. Res. Dev. 7: 2 (2019) - [c11]Pedro Gomes, Bruno Martins, Luís Cruz:
Segmenting User Sessions in Search Engine Query Logs Leveraging Word Embeddings. TPDL 2019: 185-199 - [c10]Luis Cruz, Rui Abreu:
EMaaS: energy measurements as a service for mobile applications. ICSE (NIER) 2019: 101-104 - [c9]Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia:
Do Energy-Oriented Changes Hinder Maintainability? ICSME 2019: 29-40 - [c8]Thomas Durieux, Rui Abreu, Martin Monperrus, Tegawendé F. Bissyandé, Luis Cruz:
An Analysis of 35+ Million Jobs of Travis CI. ICSME 2019: 291-295 - [i6]Luis Cruz, Rui Abreu:
Catalog of Energy Patterns for Mobile Applications. CoRR abs/1901.03302 (2019) - [i5]Luis Cruz, Rui Abreu:
EMaaS: Energy Measurements as a Service for Mobile Applications. CoRR abs/1902.02605 (2019) - [i4]Luis Cruz, Rui Abreu, David Lo:
To the Attention of Mobile Software Developers: Guess What, Test your App! CoRR abs/1902.02610 (2019) - [i3]Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia:
Do Energy-oriented Changes Hinder Maintainability? CoRR abs/1908.08332 (2019) - [i2]Luis Cruz, Rui Abreu:
On the Energy Footprint of Mobile Testing Frameworks. CoRR abs/1910.08768 (2019) - 2018
- [c7]Luis Cruz, Rui Abreu:
Using Automatic Refactoring to Improve Energy Efficiency of Android Apps. CIbSE 2018: 163-176 - [c6]Luis Cruz, Rui Abreu:
Measuring the energy footprint of mobile testing frameworks. ICSE (Companion Volume) 2018: 400-401 - [i1]Luis Cruz, Rui Abreu:
Using Automatic Refactoring to Improve Energy Efficiency of Android Apps. CoRR abs/1803.05889 (2018) - 2017
- [c5]Luis Cruz, Rui Abreu:
Performance-Based Guidelines for Energy Efficient Mobile Applications. MOBILESoft@ICSE 2017: 46-57 - [c4]Luis Cruz, Rui Abreu, Jean-Noel Rouvignac:
Leafactor: Improving Energy Efficiency of Android Apps via Automatic Refactoring. MOBILESoft@ICSE 2017: 205-206 - 2015
- [c3]Pedro Strecht, Luis Cruz, Carlos Soares, João Mendes-Moreira, Rui Abreu:
A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance. EDM 2015: 392-395 - [c2]Luis Cruz, Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow:
A wearable and mobile intervention delivery system for individuals with panic disorder. MUM 2015: 175-182 - 2012
- [c1]Luis Cruz, Luís Paulo Reis, Nuno Lau, Armando Sousa:
Optimization Approach for the Development of Humanoid Robots' Behaviors. IBERAMIA 2012: 491-500
Coauthor Index
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