Lorena Poenaru-Olaru

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Machine Learning Systems

Failure Prediction

Data Stream Classification

Top Venues

Middleware Doctoral Symposium

Publications

Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions. CoRR (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)
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)
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)
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)
Lorena Poenaru-Olaru
AutoML: towards automation of machine learning systems maintainability. Middleware Doctoral Symposium (2021)
Lorena Poenaru-Olaru, Judith Redi, Arthur Hovanesyan, Huijuan Wang
Default Prediction Using Network Based Features. COMPLEX NETWORKS (2021)