| University dropout prediction through educational data mining techniques: A systematic review F Agrusti, G Bonavolontà, M Mezzini Journal of e-learning and knowledge society 15 (3), 161-182, 2019 | 67 | 2019 |
| Auditing sum-queries to make a statistical database secure FM Malvestuto, M Mezzini, M Moscarini ACM Transactions on Information and System Security (TISSEC) 9 (1), 31-60, 2006 | 52 | 2006 |
| Using deep learning for collecting data about museum visitor behavior A Ferrato, C Limongelli, M Mezzini, G Sansonetti Applied Sciences 12 (2), 533, 2022 | 42 | 2022 |
| Deep learning approach for predicting university dropout: A case study at Roma Tre University F Agrusti, M Mezzini, G Bonavolontà Journal of e-learning and knowledge society 16 (1), 44-54, 2020 | 36 | 2020 |
| Simple algorithms for minimal triangulation of a graph and backward selection of a decomposable Markov network M Mezzini, M Moscarini Theoretical computer science 411 (7-9), 958-966, 2010 | 21 | 2010 |
| Polynomial time algorithm for computing a minimum geodetic set in outerplanar graphs M Mezzini Theoretical Computer Science 745, 63-74, 2018 | 19 | 2018 |
| Auditing sum queries FM Malvestuto, M Mezzini International Conference on Database Theory, 126-142, 2002 | 19 | 2002 |
| On the geodeticity of the contour of a graph M Mezzini, M Moscarini Discrete Applied Mathematics 181, 209-220, 2015 | 17 | 2015 |
| Tracking museum visitors through convolutional object detectors M Mezzini, C Limongelli, G Sansonetti, C De Medio Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation …, 2020 | 16 | 2020 |
| On the geodetic iteration number of the contour of a graph M Mezzini Discrete Applied Mathematics 206, 211-214, 2016 | 13 | 2016 |
| Characteristic properties and recognition of graphs in which geodesic and monophonic convexities are equivalent FM Malvestuto, M Mezzini, M Moscarini Discrete Mathematics, Algorithms and Applications 4 (04), 1250063, 2012 | 13 | 2012 |
| Computing simple-path convex hulls in hypergraphs FM Malvestuto, M Mezzini, M Moscarini Information Processing Letters 111 (5), 231-234, 2011 | 13 | 2011 |
| The META4RS Proposal: museum emotion and tracking analysis for recommender systems A Ferrato, C Limongelli, M Mezzini, G Sansonetti Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation …, 2022 | 12 | 2022 |
| Empirical study on label smoothing in neural networks M Mezzini Václav Skala-UNION Agency, 2018 | 12 | 2018 |
| The contour of a bridged graph is geodetic M Mezzini, M Moscarini Discrete Applied Mathematics 204, 213-215, 2016 | 12 | 2016 |
| On the complexity of finding chordless paths in bipartite graphs and some interval operators in graphs and hypergraphs M Mezzini Theoretical Computer Science 411 (7-9), 1212-1220, 2010 | 12 | 2010 |
| Fully dynamic algorithm for chordal graphs with O (1) query-time and O (n2) update-time M Mezzini Theoretical Computer Science 445, 82-92, 2012 | 11 | 2012 |
| A linear algorithm for finding the invariant edges of an edge-weighted graph FM Malvestuto, M Mezzini SIAM Journal on Computing 31 (5), 1438-1455, 2002 | 10 | 2002 |
| Fast minimal triangulation algorithm using minimum degree criterion M Mezzini Theoretical computer science 412 (29), 3775-3787, 2011 | 9 | 2011 |
| Predicting university dropout by using convolutional neural networks M Mezzini, G Bonavolontà, F Agrusti INTED2019 Proceedings, 9155-9163, 2019 | 8 | 2019 |
