Luis Cruz

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 52

Top Topics

Systematic Review

Machine Learning

Mobile Applications

Model Selection

Top Venues

Empir. Softw. Eng.

Publications

Arumoy Shome, Luis Cruz, Arie van Deursen
Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions. CoRR (2024)
Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions. CoRR (2024)
Eileen Kapel, Luis Cruz, Diomidis Spinellis, Arie van Deursen
On the Difficulty of Identifying Incident-Inducing Changes. ICSE-SEIP (2024)
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)
Pooja Rani, Jonas Zellweger, Veronika Kousadianos, Luis Cruz, Timo Kehrer, Alberto Bacchelli
Energy Patterns for Web: An Exploratory Study. ICSE (SEIS) (2024)
Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz
Green Runner: A Tool for Efficient Deep Learning Component Selection. CAIN (2024)
Arumoy Shome, Luis Cruz, Arie van Deursen
Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions. NLBSE@ICSE (2024)
Nienke Nijkamp, June Sallou, Niels van der Heijden, Luis Cruz
Green AI in Action: Strategic Model Selection for Ensembles in Production. CoRR (2024)
Arumoy Shome, Luis Cruz, Arie van Deursen
Data vs. Model Machine Learning Fairness Testing: An Empirical Study. CoRR (2024)
June Sallou, Luis Cruz, Thomas Durieux
EnergiBridge: Empowering Software Sustainability through Cross-Platform Energy Measurement. CoRR (2023)
Wander Siemers, June Sallou, Luis Cruz
The Two Faces of AI in Green Mobile Computing: A Literature Review. CoRR (2023)
Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen
Batching for Green AI - An Exploratory Study on Inference. CoRR (2023)
Roberto Verdecchia, June Sallou, Luis Cruz
A systematic review of Green AI. WIREs Data. Mining. Knowl. Discov. 13 (4) (2023)
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)
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)
Arumoy Shome, Luis Cruz, Arie van Deursen
Towards Understanding Machine Learning Testing in Practise. CoRR (2023)
Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
Maintaining and Monitoring AIOps Models Against Concept Drift. CAIN (2023)
Lorena Poenaru-Olaru, Natalia Karpova, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
Maintenance Techniques for Anomaly Detection AIOps Solutions. CoRR (2023)
Roberto Verdecchia, June Sallou, Luis Cruz
A Systematic Review of Green AI. CoRR (2023)
Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz
Green Runner: A tool for efficient model selection from model repositories. CoRR (2023)
Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study. CoRR (2022)
Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study. Big Data (2022)
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)
Bart van Oort, Luis Cruz, Babak Loni, Arie van Deursen
"Project smells" - Experiences in Analysing the Software Quality of ML Projects with mllint. CoRR (2022)
Arumoy Shome, Luis Cruz, Arie van Deursen
Data Smells in Public Datasets. CoRR (2022)
Jai Kannan, Scott Barnett, Luis Cruz, Anj Simmons, Akash Agarwal
MLSmellHound: A Context-Aware Code Analysis Tool. ICSE (NIER) (2022)
Haiyin Zhang, Luis Cruz, Arie van Deursen
Code Smells for Machine Learning Applications. CoRR (2022)
Luis Cruz, Rui Abreu
On the Energy Footprint of Mobile Testing Frameworks. IEEE Trans. Software Eng. 47 (10) (2021)
Mark Haakman, Luis Cruz, Hennie Huijgens, Arie van Deursen
AI lifecycle models need to be revised. Empir. Softw. Eng. 26 (5) (2021)
Bart van Oort, Luis Cruz, Maurício Finavaro Aniche, Arie van Deursen
The Prevalence of Code Smells in Machine Learning projects. CoRR (2021)
Bart van Oort, Luis Cruz, Maurício Aniche, Arie van Deursen
The Prevalence of Code Smells in Machine Learning projects. WAIN@ICSE (2021)
Sofia Reis, Rui Abreu, Luis Cruz
Fixing Vulnerabilities Potentially Hinders Maintainability. CoRR (2021)
Yuanhao Xie, Luis Cruz, Petra Heck, Jan S. Rellermeyer
Systematic Mapping Study on the Machine Learning Lifecycle. WAIN@ICSE (2021)
Sofia Reis, Rui Abreu, Luis Cruz
Fixing vulnerabilities potentially hinders maintainability. Empir. Softw. Eng. 26 (6) (2021)
Yuanhao Xie, Luis Cruz, Petra Heck, Jan S. Rellermeyer
Systematic Mapping Study on the Machine Learning Lifecycle. CoRR (2021)
Mark Haakman, Luis Cruz, Hennie Huijgens, Arie van Deursen
AI Lifecycle Models Need To Be Revised. An Exploratory Study in Fintech. CoRR (2020)
Luis Cruz, Rui Abreu, David Lo
To the Attention of Mobile Software Developers: Guess What, Test your App! CoRR (2019)
Luis Cruz, Rui Abreu
Catalog of Energy Patterns for Mobile Applications. CoRR (2019)
Luis Cruz, Rui Abreu
EMaaS: Energy Measurements as a Service for Mobile Applications. CoRR (2019)
Luis Cruz, Rui Abreu
EMaaS: energy measurements as a service for mobile applications. ICSE (NIER) (2019)
Thomas Durieux, Rui Abreu, Martin Monperrus, Tegawendé F. Bissyandé, Luis Cruz
An Analysis of 35+ Million Jobs of Travis CI. ICSME (2019)
Luis Cruz, Rui Abreu, David Lo
To the attention of mobile software developers: guess what, test your app! Empir. Softw. Eng. 24 (4) (2019)
Luis Cruz, Rui Abreu
Catalog of energy patterns for mobile applications. Empir. Softw. Eng. 24 (4) (2019)
Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia
Do Energy-oriented Changes Hinder Maintainability? CoRR (2019)
Luis Cruz, Rui Abreu
Improving Energy Efficiency Through Automatic Refactoring. J. Softw. Eng. Res. Dev. 7 (2019)
Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia
Do Energy-Oriented Changes Hinder Maintainability? ICSME (2019)
Luis Cruz, Rui Abreu
On the Energy Footprint of Mobile Testing Frameworks. CoRR (2019)
Luis Cruz, Rui Abreu
Using Automatic Refactoring to Improve Energy Efficiency of Android Apps. CoRR (2018)
Luis Cruz, Rui Abreu
Measuring the energy footprint of mobile testing frameworks. ICSE (Companion Volume) (2018)
Luis Cruz, Rui Abreu
Using Automatic Refactoring to Improve Energy Efficiency of Android Apps. CIbSE (2018)
Luis Cruz, Rui Abreu, Jean-Noel Rouvignac
Leafactor: Improving Energy Efficiency of Android Apps via Automatic Refactoring. MOBILESoft@ICSE (2017)
Luis Cruz, Rui Abreu
Performance-Based Guidelines for Energy Efficient Mobile Applications. MOBILESoft@ICSE (2017)
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)
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)
Luis Cruz, Luís Paulo Reis, Nuno Lau, Armando Sousa
Optimization Approach for the Development of Humanoid Robots' Behaviors. IBERAMIA (2012)