12 citations · 22 across the 7 of their papers we have counts for
8 papers
K-Models: a Flexible and Interpretable Method for Ordinal Clustering with Application to Antigen-Antibody Interaction Profiles
Giulia Patanè, Alessandra Menafoglio, Alexander Krauth +4
Existing clustering methods for functional data often prioritize partitioning accuracy over interpretability, making it challenging to extract meaningful insights when the data-gen…
Single-Step Reconstruction-Free Anomaly Detection and Segmentation via Diffusion Models
Mehrdad Moradi, Marco Grasso, Bianca Maria Colosimo +1
Generative models have demonstrated significant success in anomaly detection and segmentation over the past decade. Recently, diffusion models have emerged as a powerful alternativ…
Functional-Ordinal Canonical Correlation Analysis With Application to Data from Optical Sensors
Giulia Patanè, Federica Nicolussi, Alexander Krauth +4
We address the problem of predicting a target ordinal variable based on observable features consisting of functional profiles. This problem is crucial, especially in decision-makin…
Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples
Fadel M. Megahed, Ying-Ju Chen, Bianca Maria Colosimo +5
This expository paper introduces a simplified approach to image-based quality inspection in manufacturing using OpenAI's CLIP (Contrastive Language-Image Pretraining) model adapted…
Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes
Sara Bonacina, Daniele Zago, Giovanna Capizzi +1
Traditional Statistical Process Control methodologies face several challenges when monitoring defects in complex geometries, such as those of products obtained via Additive Manufac…
Robust Functional ANOVA with Application to Additive Manufacturing
Fabio Centofanti, Bianca Maria Colosimo, Marco Luigi Grasso +3
The development of data acquisition systems is facilitating the collection of data that are apt to be modelled as functional data. In some applications, the interest lies in the id…