128 citations · 190 across the 7 of their papers we have counts for
7 papers
Change Detection in Multivariate data streams: Online Analysis with Kernel-QuantTree
Michelangelo Olmo Nogara Notarianni, Filippo Leveni, Diego Stucchi +2
We present Kernel-QuantTree Exponentially Weighted Moving Average (KQT-EWMA), a non-parametric change-detection algorithm that combines the Kernel-QuantTree (KQT) histogram and the…
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
Yunkang Cao, Jiangning Zhang, Luca Frittoli +3
Zero-shot anomaly detection (ZSAD) targets the identification of anomalies within images from arbitrary novel categories. This study introduces AdaCLIP for the ZSAD task, leveragin…
Class Distribution Monitoring for Concept Drift Detection
Diego Stucchi, Luca Frittoli, Giacomo Boracchi
We introduce Class Distribution Monitoring (CDM), an effective concept-drift detection scheme that monitors the class-conditional distributions of a datastream. In particular, our…
Composite Convolution: a Flexible Operator for Deep Learning on 3D Point Clouds
Alberto Floris, Luca Frittoli, Diego Carrera +1
Deep neural networks require specific layers to process point clouds, as the scattered and irregular location of 3D points prevents the use of conventional convolutional filters. W…
Nonparametric and Online Change Detection in Multivariate Datastreams using QuantTree
Luca Frittoli, Diego Carrera, Giacomo Boracchi
We address the problem of online change detection in multivariate datastreams, and we introduce QuantTree Exponentially Weighted Moving Average (QT-EWMA), a nonparametric change-de…
Deep Open-Set Recognition for Silicon Wafer Production Monitoring
Luca Frittoli, Diego Carrera, Beatrice Rossi +2
The chips contained in any electronic device are manufactured over circular silicon wafers, which are monitored by inspection machines at different production stages. Inspection ma…
Deep Autoencoders for Anomaly Detection in Textured Images using CW-SSIM
Andrea Bionda, Luca Frittoli, Giacomo Boracchi
Detecting anomalous regions in images is a frequently encountered problem in industrial monitoring. A relevant example is the analysis of tissues and other products that in normal…