Counterfactual Building and Evaluation via eXplainable Support Vector Data Description von Carlevaro, Alberto, Lenatti, Marta, Paglialonga, Alessia, Mongelli, Maurizio

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eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics von Vaccari, Ivan, Carlevaro, Alberto, Narteni, Sara, Cambiaso, Enrico, Mongelli, Maurizio

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A New SVDD Approach to Reliable and Explainable AI von Carlevaro, Alberto, Mongelli, Maurizio

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Conformal predictions for probabilistically robust scalable machine learning classification von Carlevaro, Alberto, Alamo, Teodoro, Dabbene, Fabrizio, Mongelli, Maurizio

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Artichoke deep learning detection network for site-specific agrochemicals UAS spraying von Sassu, Alberto, Motta, Jacopo, Deidda, Alessandro, Ghiani, Luca, Carlevaro, Alberto, Garibotto, Giovanni, Gambella, Filippo

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Estimation and Conformity Evaluation of Multi-Class Counterfactual Explanations for Chronic Disease Prevention von Lenatti, Marta, Carlevaro, Alberto, Guergachi, Aziz, Keshavjee, Karim, Mongelli, Maurizio, Paglialonga, Alessia

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Multiclass Counterfactual Explanations Using Support Vector Data Description von Carlevaro, Alberto, Lenatti, Marta, Paglialonga, Alessia, Mongelli, Maurizio

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Reliable AI Through SVDD and Rule Extraction von Carlevaro, Alberto, Mongelli, Maurizio

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A novel method to derive personalized minimum viable recommendations for type 2 diabetes prevention based on counterfactual explanations von Lenatti, Marta, Carlevaro, Alberto, Guergachi, Aziz, Keshavjee, Karim, Mongelli, Maurizio, Paglialonga, Alessia

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Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions von Narteni, Sara, Carlevaro, Alberto, Guzzi, Jérôme, Mongelli, Maurizio

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Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification von Carlevaro, Alberto, Cantarero, Teodoro Alamo, Dabbene, Fabrizio, Mongelli, Maurizio

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Probabilistic Safety Regions Via Finite Families of Scalable Classifiers von Carlevaro, Alberto, Alamo, Teodoro, Dabbene, Fabrizio, Mongelli, Maurizio

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CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence von Narteni, Sara, Carlevaro, Alberto, Dabbene, Fabrizio, Muselli, Marco, Mongelli, Maurizio

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CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence von Narteni, Sara, Carlevaro, Alberto, Dabbene, Fabrizio, Muselli, Marco, Mongelli, Maurizio

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Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification von Carlevaro, Alberto, Teodoro Alamo Cantarero, Dabbene, Fabrizio, Mongelli, Maurizio

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Probabilistic Safety Regions Via Finite Families of Scalable Classifiers von Carlevaro, Alberto, Alamo, Teodoro, Dabbene, Fabrizio, Mongelli, Maurizio

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A Deep Learning Artichoke Plants Identification Approach for Site-Specific UAV Spraying von Motta, Jacopo, Sassu, Alberto, Deidda, Alessandro, Ghiani, Luca, Carlevaro, Alberto, Garibotto, Giovanni, Gambella, Filippo

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Lipid exchange in crystal-confined fatty acid binding proteins: X-ray evidence and molecular dynamics explanation von Alvarez, H Ariel, Cousido-Siah, Alexandra, Espinosa, Yanis R, Podjarny, Alberto, Carlevaro, C Manuel, Howard, Eduardo

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Integrating Decision Support Tools in the COD-19 Platform von Barbato, Michele, Carlevaro, Cristiano, Ceselli, Alberto, Confessore, Giuseppe, De Luca, Gloria, Premoli, Marco

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Endothelial dysfunction assessed by intracoronary acetylcholine and Tc-99m-sestamibi myocardial perfusion images von do Masoli, Osval, Baliño, Nestor Perez, Di Leva, Ana, Carlevaro, Oscar, Sabaté, Diego, Jalón, Jorge, Meretta, Alejandro, Cragnolino, Daniel, Sarmiento, Ricardo, Ramos, Alberto

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