Marco Maggipinto

According to our database, Marco Maggipinto authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Lazy FSCA for unsupervised variable selection.

Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone

Eng. Appl. Artif. Intell., 2023

2022

A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study.

Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto

IEEE Trans Autom. Sci. Eng., 2022

IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces.

Marco Maggipinto, Matteo Terzi, Gian Antonio Susto

Eng. Appl. Artif. Intell., 2022

2021

Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study.

Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone

CoRR, 2021

Adversarial Training Reduces Information and Improves Transferability.

Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Induced Start Dynamic Sampling for Wafer Metrology Optimization.

Gian Antonio Susto, Marco Maggipinto, Federico Zocco, Seán F. McLoone

IEEE Trans Autom. Sci. Eng., 2020

β-Variational Classifiers Under Attack.

Marco Maggipinto, Matteo Terzi, Gian Antonio Susto

CoRR, 2020

Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing.

Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek

Proceedings of the Winter Simulation Conference, 2020

Proximal Deterministic Policy Gradient.

Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing.

Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now).

Alberto Purpura, Marco Maggipinto, Gianmaria Silvello, Gian Antonio Susto

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction.

Marco Maggipinto, Gian Antonio Susto, Federico Zocco, Seán F. McLoone

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines.

Gian Antonio Susto, Marco Maggipinto, Giulia Zannon, Fabio Altinier, Elena Pesavento, Alessandro Beghi

Proceedings of the 16th European Control Conference, 2018

2017

Deep learning for virtual metrology: Modeling with optical emission spectroscopy data.

Matteo Terzi, Chiara Masiero, Alessandro Beghi, Marco Maggipinto, Gian Antonio Susto

Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017