GALICI, ROBERTA
GALICI, ROBERTA
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Risultati 1 - 9 di 9 (tempo di esecuzione: 0.021 secondi).
Characterizing Algorithmic Performance in Machine Learning for Education
2024-02-19
Data-Efficient Student Profiling in Online Courses
2024-01-01 Fenu, G.; Galici, R.; Marras, M.
Exploring Student Interactions with AI in Programming Training
2024-01-01 Fenu, G.; Galici, R.; Marras, M.; Reforgiato recupero, D.
Do Not Trust a Model because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning
2023-01-01 Galici, R.; Kaser, T.; Fenu, G.; Marras, M.
How Close are Predictive Models to Teachers in Detecting Learners at Risk?
2023-01-01 Galici, R.; Kaser, T.; Fenu, G.; Marras, M.
Supporting Instructors with Course Attendance and Quality Prediction in Synchronous Learning
2023-01-01 Fenu, G.; Galici, R.; Marras, M.; Picciau, S.
Experts’ View on Challenges and Needs for Fairness in Artificial Intelligence for Education
2022-01-01 Fenu, G.; Galici, R.; Marras, M.
Applying the ETL process to blockchain data. Prospect and findings
2020-01-01 Galici, R.; Ordile, L.; Marchesi, M.; Pinna, A.; Tonelli, R.
Evaluation framework for context-aware speaker recognition in noisy smart living environments
2020-01-01 Fenu, Gianni; Galici, R.; Marras, Mirko
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Characterizing Algorithmic Performance in Machine Learning for Education | 19-feb-2024 | - | - | Università degli Studi di Cagliari |
| Data-Efficient Student Profiling in Online Courses | 1-gen-2024 | Fenu, G.; Galici, R.; Marras, M. | - | Springer Science and Business Media Deutschland GmbH |
| Exploring Student Interactions with AI in Programming Training | 1-gen-2024 | Fenu, G.; Galici, R.; Marras, M.; Reforgiato recupero, D. | - | ACM, Association for Computing Machinery |
| Do Not Trust a Model because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning | 1-gen-2023 | Galici, R.; Kaser, T.; Fenu, G.; Marras, M. | - | Association for Computing Machinery |
| How Close are Predictive Models to Teachers in Detecting Learners at Risk? | 1-gen-2023 | Galici, R.; Kaser, T.; Fenu, G.; Marras, M. | - | Association for Computing Machinery, Inc |
| Supporting Instructors with Course Attendance and Quality Prediction in Synchronous Learning | 1-gen-2023 | Fenu, G.; Galici, R.; Marras, M.; Picciau, S. | - | Springer Science and Business Media Deutschland GmbH |
| Experts’ View on Challenges and Needs for Fairness in Artificial Intelligence for Education | 1-gen-2022 | Fenu, G.; Galici, R.; Marras, M. | - | Springer Science and Business Media Deutschland GmbH |
| Applying the ETL process to blockchain data. Prospect and findings | 1-gen-2020 | Galici, R.; Ordile, L.; Marchesi, M.; Pinna, A.; Tonelli, R. | INFORMATION | - |
| Evaluation framework for context-aware speaker recognition in noisy smart living environments | 1-gen-2020 | Fenu, Gianni; Galici, R.; Marras, Mirko | - | CEUR-WS |