Marco Maggipinto

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Dimensional Data

Semiconductor Manufacturing

Top Venues

Eng. Appl. Artif. Intell.

IEEE Trans Autom. Sci. Eng.

Publications

Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone
Lazy FSCA for unsupervised variable selection. Eng. Appl. Artif. Intell. 124 (2023)
Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto
A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study. IEEE Trans Autom. Sci. Eng. 19 (3) (2022)
Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces. Eng. Appl. Artif. Intell. 109 (2022)
Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone
Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study. CoRR (2021)
Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
Adversarial Training Reduces Information and Improves Transferability. AAAI (2021)
Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek
Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. WSC (2020)
Gian Antonio Susto, Marco Maggipinto, Federico Zocco, Seán F. McLoone
Induced Start Dynamic Sampling for Wafer Metrology Optimization. IEEE Trans Autom. Sci. Eng. 17 (1) (2020)
Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari
Proximal Deterministic Policy Gradient. CoRR (2020)
Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
Adversarial Training Reduces Information and Improves Transferability. CoRR (2020)
Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari
Proximal Deterministic Policy Gradient. IROS (2020)
Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
β-Variational Classifiers Under Attack. CoRR (2020)
Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces. CoRR (2020)
Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto
A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing. INDIN (2019)
Alberto Purpura, Marco Maggipinto, Gianmaria Silvello, Gian Antonio Susto
Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now). ICTIR (2019)
Marco Maggipinto, Gian Antonio Susto, Federico Zocco, Seán F. McLoone
What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction. CASE (2019)
Gian Antonio Susto, Marco Maggipinto, Giulia Zannon, Fabio Altinier, Elena Pesavento, Alessandro Beghi
Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines. ECC (2018)
Matteo Terzi, Chiara Masiero, Alessandro Beghi, Marco Maggipinto, Gian Antonio Susto
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. RTSI (2017)