| Student and school performance across countries: A machine learning approach C Masci, G Johnes, T Agasisti European Journal of Operational Research 269 (3), 1072-1085, 2018 | 112 | 2018 |
| The influence of school size, principal characteristics and school management practices on educational performance: An efficiency analysis of Italian students attending middle … C Masci, K De Witte, T Agasisti Socio-Economic Planning Sciences 61, 52-69, 2018 | 88 | 2018 |
| Generalized mixed‐effects random forest: A flexible approach to predict university student dropout M Pellagatti, C Masci, F Ieva, AM Paganoni Statistical Analysis and Data Mining: The ASA Data Science Journal 14 (3 …, 2021 | 60 | 2021 |
| PET/CT-based radiomics of mass-forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival F Fiz, C Masci, G Costa, M Sollini, A Chiti, F Ieva, G Torzilli, L Viganò European journal of nuclear medicine and molecular imaging 49 (10), 3387-3400, 2022 | 47 | 2022 |
| Using regression tree ensembles to model interaction effects: a graphical approach F Schiltz, C Masci, T Agasisti, D Horn Applied Economics 50 (58), 6341-6354, 2018 | 40 | 2018 |
| Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques M Cannistrà, C Masci, F Ieva, T Agasisti, AM Paganoni Studies in Higher Education 47 (9), 1935-1956, 2022 | 31 | 2022 |
| Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements C Masci, F Ieva, T Agasisti, AM Paganoni Journal of Applied Statistics 44 (7), 1296-1317, 2017 | 29 | 2017 |
| Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students C Masci, F Ieva, T Agasisti, AM Paganoni Socio-Economic Planning Sciences 54, 47-57, 2016 | 27 | 2016 |
| Performing learning analytics via generalised mixed-effects trees L Fontana, C Masci, F Ieva, AM Paganoni Data 6 (7), 74, 2021 | 23 | 2021 |
| Virtual biopsy for diagnosis of chemotherapy-associated liver injuries and steatohepatitis: a combined radiomic and clinical model in patients with colorectal liver metastases G Costa, L Cavinato, C Masci, F Fiz, M Sollini, LS Politi, A Chiti, ... Cancers 13 (12), 3077, 2021 | 17 | 2021 |
| Semiparametric mixed effects models for unsupervised classification of Italian schools C Masci, AM Paganoni, F Ieva Journal of the Royal Statistical Society Series A: Statistics in Society 182 …, 2019 | 17 | 2019 |
| Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients C Masci, F Ieva, T Agasisti, AM Paganoni Computational Statistics 36 (4), 2337-2377, 2021 | 11 | 2021 |
| Not the magic algorithm: modelling and early-predicting students dropout through machine learning and multilevel approach M Cannistrà, C Masci, F Ieva, T Agasisti, A Paganoni MOX-Modelling and Scientific Computing, Department of Mathematics …, 2020 | 10 | 2020 |
| The determinants of mathematics achievement: a gender perspective using multilevel random forest A Bertoletti, M Cannistrà, M Diaz Lema, C Masci, A Mergoni, L Rossi, ... Economies 11 (2), 32, 2023 | 8 | 2023 |
| Semiparametric multinomial mixed-effects models: A university students profiling tool C Masci, F Ieva, AM Paganoni The Annals of Applied Statistics 16 (3), 1608-1632, 2022 | 8 | 2022 |
| Using machine learning to model interaction effects in education: A graphical approach F Schiltz, C Masci, T Agasisti, D Horn Budapest Working Papers on the Labour Market, 2017 | 5 | 2017 |
| Using statistical analytics to study school performance through administrative datasets T Agasisti, F Ieva, C Masci, AM Paganoni, M Soncin Data Analytics Applications in Education, 183-209, 2017 | 4 | 2017 |
| Laboratorio di statistica con R. Eserciziario AM Paganoni, F Ieva, V Vitelli PEARSON EDUCATION ITALIA SRL, 2012 | 4 | 2012 |
| Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach A Ragni, C Masci, F Ieva, AM Paganoni arXiv preprint arXiv:2302.12103, 2023 | 3 | 2023 |
| Survival models for predicting student dropout at university across time C Masci, M Giovio, P Mussida Education and new developments, 203, 2022 | 2 | 2022 |
