MAGGIPINTO, MARCO
MAGGIPINTO, MARCO
Dipartimento di Ingegneria dell'Informazione - DEI
A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study
2022 Maggipinto, Marco; Beghi, Alessandro; Susto, Gian Antonio
IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces
2022 Maggipinto, Marco; Terzi, Matteo; Susto, Gian Antonio
Adversarial training reduces information and improves transferability
2021 Terzi, Matteo; Achille, Alessandro; Maggipinto, Marco; Susto, GIAN ANTONIO
Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images
2021 Arena, S.; Bodrov, Y.; Carletti, M.; Gentner, N.; Maggipinto, M.; Yang, Y.; Beghi, A.; Kyek, A.; Susto, G. A.
Induced Start Dynamic Sampling for Wafer Metrology Optimization
2020 Susto, G. A.; Maggipinto, M.; Zocco, F.; Mcloone, S.
Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing
2020 Carletti, M.; Maggipinto, M.; Beghi, A.; Susto, G.; Gentner, N.; Yang, Y.; Kyek, A.
Proximal Deterministic Policy Gradient
2020 Maggipinto, Marco; Susto, GIAN ANTONIO; Chaudhari, Pratik
ß-variational classifiers under attack
2020 Maggipinto, M.; Terzi, M.; Susto, G. A.
A deep learning-based approach to anomaly detection with 2-dimensional data in manufacturing
2019 Maggipinto, M.; Beghi, A.; Susto, G. A.
DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology
2019 Maggipinto, M.; Beghi, A.; Mcloone, S.; Susto, G. A.
Laundry Fabric Classification in Vertical Axis Washing Machines Using Data-Driven Soft Sensors
2019 Maggipinto, Marco; Pesavento, Elena; Altinier, Fabio; Zambonin, Giuliano; Beghi, Alessandro; Susto, GIAN ANTONIO
Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now)
2019 Purpura, Alberto; Maggipinto, Marco; Silvello, Gianmaria; Susto, Gian Antonio
What are the most informative data for virtual metrology? a use case on multi-stage processes fault prediction
2019 Maggipinto, M.; Susto, G. A.; Zocco, F.; Mcloone, S.
A Computer Vision-inspired Deep Learning Architecture for Virtual Metrology modeling with 2-Dimensional Data
2018 Maggipinto, Marco; Terzi, Matteo; Masiero, Chiara; Beghi, A.; Susto, G. A.
A Convolutional Autoencoder Approach for Feature Extraction in Virtual Metrology
2018 Maggipinto, Marco; Masiero, Chiara; Beghi, A.; Susto, G. A.
A Dynamic Sampling Approach for Cost Reduction in Semiconductor Manufacturing
2018 Susto, G. A.; Maggipinto, M.; Zocco, F.; Mcloone, S.
Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines
2018 Susto, G. A.; Maggipinto, Marco; Zannon, G.; Altinier, F.; Pesavento, E.; Beghi, A.
On Optimising Spatial Sampling Plans for Wafer Profile Reconstruction
2018 Mcloone, S.; Zocco, F.; Maggipinto, M.; Susto, G. A.
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data
2017 Terzi, Matteo; Masiero, Chiara; Beghi, Alessandro; Maggipinto, Marco; Susto, Gian Antonio