Search Results - "Dalle Pezze, Davide"

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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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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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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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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An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning by Tremonti, Matteo, Pezze, Davide Dalle, Paissan, Francesco, Farella, Elisabetta, Susto, Gian Antonio

“…Neural networks excel at addressing real-world tasks, yet their computational demands often confine them to cloud-based platforms. Recent literature has…”
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VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper by Beghi, Alessandro, Dall'Ora, Nicola, Dalle Pezze, Davide, Fummi, Franco, Masiero, Chiara, Spellini, Stefano, Susto, Gian Antonio, Tosoni, Francesco

“…In this paper, we present the project "VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing" by providing details on its research…”
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Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark by Ceccon, Marina, Pezze, Davide Dalle, Fabris, Alessandro, Susto, Gian Antonio

“…Despite the critical importance of the medical domain in Deep Learning, most of the research in this area solely focuses on training models in static…”
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Fairness Evolution in Continual Learning for Medical Imaging by Ceccon, Marina, Pezze, Davide Dalle, Fabris, Alessandro, Susto, Gian Antonio

“…Deep Learning (DL) has made significant strides in various medical applications in recent years, achieving remarkable results. In the field of medical imaging,…”
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PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge by Barusco, Manuel, Borsatti, Francesco, Pezze, Davide Dalle, Paissan, Francesco, Farella, Elisabetta, Susto, Gian Antonio

“…Visual Anomaly Detection (VAD) has gained significant research attention for its ability to identify anomalous images and pinpoint the specific areas…”
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Tiny Robotics Dataset and Benchmark for Continual Object Detection by Pasti, Francesco, De Monte, Riccardo, Pezze, Davide Dalle, Susto, Gian Antonio, Bellotto, Nicola

“…Detecting objects in mobile robotics is crucial for numerous applications, from autonomous navigation to inspection. However, robots are often required to…”
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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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Latent Distillation for Continual Object Detection at the Edge by Pasti, Francesco, Ceccon, Marina, Pezze, Davide Dalle, Paissan, Francesco, Farella, Elisabetta, Susto, Gian Antonio, Bellotto, Nicola

“…While numerous methods achieving remarkable performance exist in the Object Detection literature, addressing data distribution shifts remains challenging…”
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Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning by Bugarin, Nikola, Bugaric, Jovana, Barusco, Manuel, Pezze, Davide Dalle, Susto, Gian Antonio

“…Anomaly Detection is a relevant problem in numerous real-world applications, especially when dealing with images. However, little attention has been paid to…”
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Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning by Bugarin, Nikola, Bugaric, Jovana, Barusco, Manuel, Pezze, Davide Dalle, Susto, Gian Antonio

“…Anomaly Detection is a relevant problem in numerous real-world applications, especially when dealing with images. However, little attention has been paid to…”
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Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent by Della Libera, Luca, Andreoli, Jacopo, Pezze, Davide Dalle, Ravanelli, Mirco, Susto, Gian Antonio

“…A crucial task in predictive maintenance is estimating the remaining useful life of physical systems. In the last decade, deep learning has improved…”
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Replay Consolidation with Label Propagation for Continual Object Detection by De Monte, Riccardo, Pezze, Davide Dalle, Ceccon, Marina, Pasti, Francesco, Paissan, Francesco, Farella, Elisabetta, Susto, Gian Antonio, Bellotto, Nicola

“…Object Detection is a highly relevant computer vision problem with many applications such as robotics and autonomous driving. Continual Learning~(CL) considers…”
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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…”
Get full text