2 citations · 2 across the 1 of their papers we have counts for
5 papers
An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
Sukanya Patra, Souhaib Ben Taieb
Unsupervised anomaly detection (AD) methods typically assume clean training data, yet real-world datasets often contain undetected or mislabeled anomalies, leading to significant p…
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds
David Vallmanya Poch, Yorick Estievenart, Elnura Zhalieva +3
Accurate dose calculations in proton therapy rely on high-quality CT images. While planning CTs (pCTs) serve as a reference for dosimetric planning, Cone Beam CT (CBCT) is used thr…
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
Yorick Estievenart, Sukanya Patra, Souhaib Ben Taieb
Efficient and reliable operation of Concentrated Solar Power (CSP) plants is essential for meeting the growing demand for sustainable energy. However, high-temperature solar receiv…
Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection
Sukanya Patra, Souhaib Ben Taieb
Industrial anomaly detection is crucial for quality control and predictive maintenance, but it presents challenges due to limited training data, diverse anomaly types, and external…
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images
Sukanya Patra, Nicolas Sournac, Souhaib Ben Taieb
Concentrated Solar Power (CSP) plants store energy by heating a storage medium with an array of mirrors that focus sunlight onto solar receivers atop a central tower. Operating at…