Search Results - "Masiero, Chiara"

Enhancing interpretability and generalizability in extended isolation forests by Arcudi, Alessio, Frizzo, Davide, Masiero, Chiara, Susto, Gian Antonio

“…Anomaly Detection (AD) focuses on identifying unusual patterns in complex datasets and systems. While Machine Learning and Decision Support Systems (DSS) are…”
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AcME—Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box by Dandolo, David, Masiero, Chiara, Carletti, Mattia, Dalle Pezze, Davide, Susto, Gian Antonio

“…In the context of human-in-the-loop Machine Learning applications, like Decision Support Systems, interpretability approaches should provide actionable…”
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Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis by Carletti, Mattia, Masiero, Chiara, Beghi, Alessandro, Susto, Gian Antonio

“…In the past recent years, Machine Learning methodologies have been applied in countless application areas. In particular, they play a key role in enabling…”
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FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment by Pezze, Davide Dalle, Masiero, Chiara, Tosato, Diego, Beghi, Alessandro, Susto, Gian Antonio

“…Predictive Maintenance technologies are particularly appealing for Industrial Equipment producers, as they pave the way to the selling of high added-value…”
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On the Error Region for Channel Estimation-Based Physical Layer Authentication Over Rayleigh Fading by Ferrante, Augusto, Laurenti, Nicola, Masiero, Chiara, Pavon, Michele, Tomasin, Stefano

“…For a physical layer message authentication procedure based on the comparison of channel estimates obtained from the received messages, we focus on an outer…”
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Time and Spectral Domain Relative Entropy: A New Approach to Multivariate Spectral Estimation by Ferrante, A., Masiero, C., Pavon, M.

“…The concept of spectral relative entropy rate is introduced for jointly stationary Gaussian processes. Using classical information-theoretic results, we…”
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A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring by Dalle Pezze, Davide, Deronjic, Denis, Masiero, Chiara, Tosato, Diego, Beghi, Alessandro, Susto, Gian Antonio

“…Continual Learning aims to learn from a stream of tasks, being able to remember at the same time both new and old tasks. We propose a scenario that holds…”
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A Computer Vision-Inspired Deep Learning Architecture for Virtual Metrology Modeling With 2-Dimensional Data by Maggipinto, Marco, Terzi, Matteo, Masiero, Chiara, Beghi, Alessandro, Susto, Gian Antonio

“…The rise of industry 4.0 and data-intensive manufacturing makes advanced process control (APC) applications more relevant than ever for process/production…”
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The effect of the rootstock SO4 on the wine quality in comparison to the rootstocks 1103 Paulsen, 140 Ru, 420 A and Börner by Josef Terleth, Ulrich Pedri, Christoph Patauner, Chiara Masiero, Gian Marco Riccio, Barbara Raifer

“…In a steep slope with limited soil thickness, a rootstock comparison was established in 1999 with the Pinot Blanc variety and the rootstocks SO4, 1103 Paulsen…”
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Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation by Lorenti, Luciano, Pezze, Davide Dalle, Andreoli, Jacopo, Masiero, Chiara, Gentner, Natalie, Yang, Yao, Susto, Gian Antonio

“…Predictive Maintenance (PdM) aims to detect forth-coming failures in machinery to reduce costs associated with defective products and equipment inactivity…”
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Panoramas, Keys to Unlock Complexity in Digital Humanities and Data Humanism Methodological Analysis, Performance Assessment and Cataloguing of 31 Real Cases: Methodological Analysis, Performance Assessment and Cataloguing of 31 Real Cases by Masiero Sgrinzatto, Chiara, Zilio, Emanuela

“…In the interdisciplinary landscape shaped by Digital Humanities (DH) and Data Humanism (DHu), panoramas represent immersive narratives and interactive…”
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Panoramas, Keys to Unlock Complexity in Digital Humanities and Data Humanism by Masiero Sgrinzatto, Chiara, Zilio, Emanuela

“…In the interdisciplinary landscape shaped by Digital Humanities (DH) and Data Humanism (DHu), panoramas represent immersive narratives and interactive…”
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Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD by Zaccaria, Valentina, Masiero, Chiara, Dandolo, David, Susto, Gian Antonio

“…While Machine Learning has become crucial for Industry 4.0, its opaque nature hinders trust and impedes the transformation of valuable insights into actionable…”
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Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD by Zaccaria, Valentina, Masiero, Chiara, Dandolo, David, Susto, Gian Antonio

“…While Machine Learning has become crucial for Industry 4.0, its opaque nature hinders trust and impedes the transformation of valuable insights into actionable…”
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AcME-AD: Accelerated Model Explanations for Anomaly Detection by Zaccaria, Valentina, Dandolo, David, Masiero, Chiara, Susto, Gian Antonio

“…Pursuing fast and robust interpretability in Anomaly Detection is crucial, especially due to its significance in practical applications. Traditional Anomaly…”
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Enhancing Interpretability and Generalizability in Extended Isolation Forests by Arcudi, Alessio, Frizzo, Davide, Masiero, Chiara, Susto, Gian Antonio

“…Anomaly Detection (AD) focuses on identifying unusual behaviors in complex datasets. Machine Learning (ML) algorithms and Decision Support Systems (DSSs)…”
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Continual Learning Approaches for Anomaly Detection by Pezze, Davide Dalle, Anello, Eugenia, Masiero, Chiara, Susto, Gian Antonio

“…Anomaly Detection is a relevant problem that arises in numerous real-world applications, especially when dealing with images. However, there has been little…”
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Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis by Anello, Eugenia, Masiero, Chiara, Ferro, Fabiana, Ferrari, Francesca, Mukaj, Bleona, Beghi, Alessandro, Susto, Gian Antonio

“…The Industrial Internet of Things is one of the application area where Machine Learning has been most successful recently. In such context, typically Machine…”
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A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring by Pezze, Davide Dalle, Deronjic, Denis, Masiero, Chiara, Tosato, Diego, Beghi, Alessandro, Susto, Gian Antonio

“…Continual Learning aims to learn from a stream of tasks, being able to remember at the same time both new and old tasks. While many approaches were proposed…”
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AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box by Dandolo, David, Masiero, Chiara, Carletti, Mattia, Pezze, Davide Dalle, Susto, Gian Antonio

“…In the context of human-in-the-loop Machine Learning applications, like Decision Support Systems, interpretability approaches should provide actionable…”
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