Afonso Lourenço

Orcid: 0000-0002-3465-3419

According to our database1, Afonso Lourenço authored at least 16 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Axle Sensor Fusion for Online Continual Wheel Fault Detection in Wayside Railway Monitoring.
CoRR, February, 2026

iHOMER+: Incremental multi-view output-specialization for streaming multi-label learning.
Inf. Fusion, 2026

Bridging Streaming Continual Learning via In-Context Large Tabular Models.
Proceedings of the 1st Streaming Continual Learning Bridge at AAAI (StreamingCL 2026) co-located with 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026), 2026

In-context Learning of Evolving Data Streams with Tabular Foundational Models.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Explainable Anomaly Detection for Industrial IoT Data Streams.
CoRR, December, 2025

Online hierarchical partitioning of the output space in extreme multi-label data stream.
CoRR, July, 2025

Continual learning for rotating machinery fault diagnosis with cross-domain environmental and operational variations.
CoRR, April, 2025

Boosting-inspired online learning with transfer for railway maintenance.
CoRR, April, 2025

On-device edge learning for IoT data streams: a survey.
CoRR, February, 2025

Online Hierarchical Partitioning of the Output Space in Extreme Multi-Label Data Streams.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024
Time series data mining for railway wheel and track monitoring: a survey.
Neural Comput. Appl., September, 2024

2023
Online adaptive learning for out-of-round railway wheels detection.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Automated green machine learning for condition-based maintenance.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022
Using an Explainable Machine Learning Approach to Minimize Opportunistic Maintenance Interventions.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection, 2022

Using simulation to evaluate a concept drift detector for condition based maintenance.
Proceedings of the IECON 2022, 2022


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