Scholar
Luca Stradiotti
Google Scholar ID: KCPYXyQAAAAJ
PhD student, KU Leuven
Citations & Impact
Citations
14
H-index
2
i10-index
0
Publications
5
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- - Published papers in prestigious conferences such as ECAI and SDM
- - Notable publications:
- - Learning to Reject Low-Quality Explanations via User Feedback, arxiv, 2025
- - Combining Active Learning and Learning to Reject for Anomaly Detection, ECAI 2024
- - Semi-Supervised Isolation Forest for Anomaly Detection, SDM 2024
Research Experience
- - Ph.D. Researcher at DTAI Lab, KU Leuven, 2023 - Present
- - Conducted his master's thesis at KU Leuven, developing a new semi-supervised method for anomaly detection
- - Teaching Assistant: Big Data Analytics Programming, 2023/2024, 2024/2025, 2025/2026
- - Thesis Advisor: Multiple student projects, 2023/2024 - 2025/2026
Education
- - Ph.D. in Machine Learning, KU Leuven, January 2023 - Present, Supervisor: Prof. Dr. Jesse Davis
- - MSc in Computer Engineering, Politecnico di Torino, October 2020 - October 2022, Specialized in Artificial Intelligence and data analytics
- - BSc in Computer Engineering, Politecnico di Torino, October 2017 - July 2020
Background
- Luca is a Ph.D. researcher focusing on machine learning. His main research interests include Anomaly Detection and techniques that introduce the human-in-the-loop, such as Active Learning and Learning to Reject.
