Davide Cacciarelli

According to our database, Davide Cacciarelli authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Data-driven jet fuel demand forecasting: A case study of Copenhagen Airport.

Alessandro Contini, Davide Cacciarelli, Murat Kulahci

CoRR, November, 2025

An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity.

Junghee Pyeon, Davide Cacciarelli, Kamran Paynabar

CoRR, November, 2025

Do we actually understand the impact of renewables on electricity prices? A causal inference approach.

Davide Cacciarelli, Pierre Pinson, Filip Panagiotopoulos, David Dixon, Lizzie Blaxland

CoRR, January, 2025

Camera clustering for scalable stream-based active distillation.

Dani Manjah, Davide Cacciarelli, Christophe De Vleeschouwer, Benoît Macq

Expert Syst. Appl., 2025

2024

Real-Time Sampling Strategies for Regression with Irrelevant Features.

Davide Cacciarelli, John Sølve Tyssedal, Murat Kulahci

Int. J. Semantic Comput., September, 2024

Robust online active learning.

Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal

Qual. Reliab. Eng. Int., February, 2024

Active learning for data streams: a survey.

Davide Cacciarelli, Murat Kulahci

Mach. Learn., January, 2024

Active Learning for Data Streams.

Davide Cacciarelli

PhD thesis, 2024

2023

A survey on online active learning.

Davide Cacciarelli, Murat Kulahci

CoRR, 2023

Stream-Based Active Learning for Regression with Dynamic Feature Selection.

Davide Cacciarelli, John Sølve Tyssedal, Murat Kulahci

Proceedings of the 2023 Fifth International Conference on Transdisciplinary AI (TransAI), 2023

Stream-Based Active Distillation for Scalable Model Deployment.

Dani Manjah, Davide Cacciarelli, Mohamed Benkedadra, Baptiste Standaert, Gauthier Rotsart De Hertaing, Benoît Macq, Stéphane Galland, Christophe De Vleeschouwer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Stream-based active learning with linear models.

Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal

Knowl. Based Syst., 2022

Online Active Learning for Soft Sensor Development using Semi-Supervised Autoencoders.

Davide Cacciarelli, Murat Kulahci, John Tyssedal

CoRR, 2022

A novel fault detection and diagnosis approach based on orthogonal autoencoders.

Davide Cacciarelli, Murat Kulahci

Comput. Chem. Eng., 2022