Sfoglia per Autore
Teaching LLMs to Move: Generation of Human Activity Sensor Traces with BERT
In corso di stampa Bigelli, L.; Bogliolo, A.; Calisti, L.; Contoli, C.; Kania, N.; Lattanzi, E.
Telegram Bots in Science Education: Applications in the Context of Astrophysics
2025 Sandri, Maura; Bogliolo, Alessandro; Klopfenstein, Cuno Lorenz; Mignone, Claudia; Galleti, Silvia; Badia, Chiara; Bandiera, Rino; Daricello, Laura; Teresa Fulco, Maria; Giobbi, Giuliana; Leonardi, Laura; Malaspina, Marco; Paoletti, Daniela; Trinchieri, Ginevra
Decentralized Health Data Management: An IPFS-based Approach and Performance Evaluation
2025 Franco, Francesco; Bogliolo, Alessandro; Montagna, Sara; Bedogni, Luca; Ferretti, Stefano
Insights From 7 Years of CodyMaze Experiments
2025 Klopfenstein, Cuno Lorenz; Paolini, Brendan; Di Francesco, Gian Marco; Bogliolo, Alessandro
Molecular Fingerprints-Based Machine Learning for Metabolic Profiling
2025 Sirocchi, Christel; Biancucci, Federica; Suffian, Muhammad; Benedetti, Riccardo; Donati, Matteo; Ferretti, Stefano; Bogliolo, Alessandro; Magnani, Mauro; Menotta, Michele; Montagna, Sara
The role of user feedback in enhancing understanding and trust in counterfactual explanations for explainable AI
2025 Suffian, Muhammad; Kuhl, Ulrike; Bogliolo, Alessandro; Alonso-Moral, Jose M.
Can LLMs Learn the Language of Inertial Sensors in Human Activity Recognition?
2025 Bigelli, L.; Bogliolo, A.; Calisti, L.; Capellacci, P.; Contoli, C.; Kania, N.; Lattanzi, E.
Interpretable Machine Learning for Automated Cellular Population Analysis in Flow Cytometry
2025 Benedetti, Riccardo; Suffian, Muhammad; Bogliolo, Alessandro; Canonico, Barbara; Papa, Stefano; Ortolani, Claudio; Montagna, Sara
Introducing User Feedback-Based Counterfactual Explanations (UFCE)
2024 Suffian, Muhammad; Alonso-Moral, Jose M.; Bogliolo, Alessandro
Predicting metabolic responses in genetic disorders via structural representation in machine learning
2024 Sirocchi, Christel; Biancucci, Federica; Suffian, Muhammad; Donati, Matteo; Ferretti, Stefano; Bogliolo, Alessandro; Magnani, Mauro; Menotta, Michele; Montagna, Sara
Medical-informed machine learning: integrating prior knowledge into medical decision systems
2024 Sirocchi, Christel; Bogliolo, Alessandro; Montagna, Sara
A power-aware vision-based virtual sensor for real-time edge computing
2024 Contoli, Chiara; Calisti, Lorenzo; Fabrizio, Giacomo Di; Kania, Nicholas; Bogliolo, Alessandro; Lattanzi, Emanuele
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
2024 Sirocchi, Christel; Suffian, Muhammad; Sabbatini, Federico; Bogliolo, Alessandro; Montagna, Sara
A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge Computing
2024 Kania, Nicholas; Bogliolo, Alessandro; Calisti, Lorenzo; Contoli, Chiara; Di Fabrizio, Giacomo; Romanelli, Luca; Lattanzi, Emanuele
Investigating Participation Mechanisms in EU Code Week
2024 Sirocchi, Christel; Pofantis, Annika Ostergren; Bogliolo, Alessandro
Exploring Machine Learning for Untargeted Metabolomics Using Molecular Fingerprints
2024 Sirocchi, Christel; Biancucci, Federica; Donati, Matteo; Bogliolo, Alessandro; Magnani, Mauro; Menotta, Michele; Montagna, Sara
Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders
2023 Sirocchi, Christel; Biancucci, Federica; Donati, Matteo; D'Amore, Nunzio; Benedetti, Riccardo; Bogliolo, Alessandro; Ferretti, Stefano; Magnani, Mauro; Menotta, Michele; Suffian, Muhammad; Montagna, Sara
Investigating Human-Centered Perspectives in Explainable Artificial Intelligence
2023 Suffian, Muhammad; Stepin, Ilia; Maria Alonso-Moral, Jose; Bogliolo, Alessandro
Machine learning for automated gating of flow cytometry data
2022 Suffian, Muhammad; Montagna, Sara; Bogliolo, Alessandro; Ortolani, Claudio; Papa, Stefano; D'Atri, Mario
FCE: Feedback Based Counterfactual Explanations for Explainable AI
2022 Suffian, Muhammad; Graziani, Pierluigi; Alonso, Jose M.; Bogliolo, Alessandro
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Teaching LLMs to Move: Generation of Human Activity Sensor Traces with BERT | In corso di stampa | Bigelli, L.; Bogliolo, A.; Calisti, L.; Contoli, C.; Kania, N.; Lattanzi, E. | |
| Telegram Bots in Science Education: Applications in the Context of Astrophysics | 1-gen-2025 | Sandri, Maura; Bogliolo, Alessandro; Klopfenstein, Cuno Lorenz; Mignone, Claudia; Galleti, Silvia; Badia, Chiara; Bandiera, Rino; Daricello, Laura; Teresa Fulco, Maria; Giobbi, Giuliana; Leonardi, Laura; Malaspina, Marco; Paoletti, Daniela; Trinchieri, Ginevra | |
| Decentralized Health Data Management: An IPFS-based Approach and Performance Evaluation | 1-gen-2025 | Franco, Francesco; Bogliolo, Alessandro; Montagna, Sara; Bedogni, Luca; Ferretti, Stefano | |
| Insights From 7 Years of CodyMaze Experiments | 1-gen-2025 | Klopfenstein, Cuno Lorenz; Paolini, Brendan; Di Francesco, Gian Marco; Bogliolo, Alessandro | |
| Molecular Fingerprints-Based Machine Learning for Metabolic Profiling | 1-gen-2025 | Sirocchi, Christel; Biancucci, Federica; Suffian, Muhammad; Benedetti, Riccardo; Donati, Matteo; Ferretti, Stefano; Bogliolo, Alessandro; Magnani, Mauro; Menotta, Michele; Montagna, Sara | |
| The role of user feedback in enhancing understanding and trust in counterfactual explanations for explainable AI | 1-gen-2025 | Suffian, Muhammad; Kuhl, Ulrike; Bogliolo, Alessandro; Alonso-Moral, Jose M. | |
| Can LLMs Learn the Language of Inertial Sensors in Human Activity Recognition? | 1-gen-2025 | Bigelli, L.; Bogliolo, A.; Calisti, L.; Capellacci, P.; Contoli, C.; Kania, N.; Lattanzi, E. | |
| Interpretable Machine Learning for Automated Cellular Population Analysis in Flow Cytometry | 1-gen-2025 | Benedetti, Riccardo; Suffian, Muhammad; Bogliolo, Alessandro; Canonico, Barbara; Papa, Stefano; Ortolani, Claudio; Montagna, Sara | |
| Introducing User Feedback-Based Counterfactual Explanations (UFCE) | 1-gen-2024 | Suffian, Muhammad; Alonso-Moral, Jose M.; Bogliolo, Alessandro | |
| Predicting metabolic responses in genetic disorders via structural representation in machine learning | 1-gen-2024 | Sirocchi, Christel; Biancucci, Federica; Suffian, Muhammad; Donati, Matteo; Ferretti, Stefano; Bogliolo, Alessandro; Magnani, Mauro; Menotta, Michele; Montagna, Sara | |
| Medical-informed machine learning: integrating prior knowledge into medical decision systems | 1-gen-2024 | Sirocchi, Christel; Bogliolo, Alessandro; Montagna, Sara | |
| A power-aware vision-based virtual sensor for real-time edge computing | 1-gen-2024 | Contoli, Chiara; Calisti, Lorenzo; Fabrizio, Giacomo Di; Kania, Nicholas; Bogliolo, Alessandro; Lattanzi, Emanuele | |
| Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care | 1-gen-2024 | Sirocchi, Christel; Suffian, Muhammad; Sabbatini, Federico; Bogliolo, Alessandro; Montagna, Sara | |
| A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge Computing | 1-gen-2024 | Kania, Nicholas; Bogliolo, Alessandro; Calisti, Lorenzo; Contoli, Chiara; Di Fabrizio, Giacomo; Romanelli, Luca; Lattanzi, Emanuele | |
| Investigating Participation Mechanisms in EU Code Week | 1-gen-2024 | Sirocchi, Christel; Pofantis, Annika Ostergren; Bogliolo, Alessandro | |
| Exploring Machine Learning for Untargeted Metabolomics Using Molecular Fingerprints | 1-gen-2024 | Sirocchi, Christel; Biancucci, Federica; Donati, Matteo; Bogliolo, Alessandro; Magnani, Mauro; Menotta, Michele; Montagna, Sara | |
| Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders | 1-gen-2023 | Sirocchi, Christel; Biancucci, Federica; Donati, Matteo; D'Amore, Nunzio; Benedetti, Riccardo; Bogliolo, Alessandro; Ferretti, Stefano; Magnani, Mauro; Menotta, Michele; Suffian, Muhammad; Montagna, Sara | |
| Investigating Human-Centered Perspectives in Explainable Artificial Intelligence | 1-gen-2023 | Suffian, Muhammad; Stepin, Ilia; Maria Alonso-Moral, Jose; Bogliolo, Alessandro | |
| Machine learning for automated gating of flow cytometry data | 1-gen-2022 | Suffian, Muhammad; Montagna, Sara; Bogliolo, Alessandro; Ortolani, Claudio; Papa, Stefano; D'Atri, Mario | |
| FCE: Feedback Based Counterfactual Explanations for Explainable AI | 1-gen-2022 | Suffian, Muhammad; Graziani, Pierluigi; Alonso, Jose M.; Bogliolo, Alessandro |
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