| Modern industrial statistics: With applications in R, MINITAB, and JMP RS Kenett, S Zacks John Wiley & Sons, 2021 | 207 | 2021 |
| Exploring subgroup performance in end-to-end speech models A Koudounas, E Pastor, G Attanasio, V Mazzia, M Giollo, T Gueudre, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 9 | 2023 |
| Towards comprehensive subgroup performance analysis in speech models A Koudounas, E Pastor, G Attanasio, V Mazzia, M Giollo, T Gueudre, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 4 | 2024 |
| Semantic diversity for natural language understanding evaluation in dialog systems E Palumbo, A Mezzalira, C Marco, A Manzotti, D Amberti | 3 | 2020 |
| Leveraging confidence models for identifying challenging data subgroups in speech models A Koudounas, E Pastor, V Mazzia, M Giollo, T Gueudre, E Reale, ... | | 2024 |
| Package ‘mistat’ D Amberti, DK DiceEval, DV DiceDesign, MD Amberti | | 2023 |
| Commentary# 6: Commentary: The Way to Go D Amberti Foresight: The International Journal of Applied Forecasting, 22-23, 2015 | | 2015 |
| Classical Design and Analysis of Experiments RS Kenett, S Zacks, D Amberti Modern Industrial Statistics: With Applications in R, MINITAB and JMP, 381-445, 2014 | | 2014 |
| Sequential Design of Experiments for model selection: an application to the energy sector D Amberti, M Giordani, A Padriali The R User Conference, useR! 2013 July 10-12 2013 University of Castilla-La …, 2013 | | 2013 |
| Electrical Load Forecasting in R DA Corinne Walz, Franziska Ziemer UseR 2009, 2009 | | 2009 |
| Two-stage modelling in electrical load forecasting, with application to customer management by power distribution utilities RF Amberti D., Pievatolo A. Proceedings of the ENBIS Sixth Annual Conference, 2006 | | 2006 |
| The Role of Statistical Methods in Modern Industry and Services RS Kenett, S Zacks, D Amberti Modern Industrial Statistics: With Applications in R, MINITAB and JMP, 3-12, 0 | | |
| Reliability Analysis RS Kenett, S Zacks, D Amberti Modern Industrial Statistics: With Applications in R, MINITAB and JMP, 497-533, 0 | | |
| Probability Models and Distribution Functions RS Kenett, S Zacks, D Amberti Modern Industrial Statistics: With Applications in R, MINITAB and JMP, 41-112, 0 | | |
| Sampling for Estimation of Finite Population Quantities RS Kenett, S Zacks, D Amberti Modern Industrial Statistics: With Applications in R, MINITAB and JMP, 237-257, 0 | | |
| Multivariate Statistical Process Control RS Kenett, S Zacks, D Amberti Modern Industrial Statistics: With Applications in R, MINITAB and JMP, 361-378, 0 | | |
| Basic Tools and Principles of Process Control RS Kenett, S Zacks, D Amberti Modern Industrial Statistics: With Applications in R, MINITAB and JMP, 285-318, 0 | | |
| Bayesian Reliability Estimation and Prediction RS Kenett, S Zacks, D Amberti Modern Industrial Statistics: With Applications in R, MINITAB and JMP, 534-546, 0 | | |
| Advanced Methods of Statistical Process Control RS Kenett, S Zacks, D Amberti Modern Industrial Statistics: With Applications in R, MINITAB and JMP, 319-360, 0 | | |
| Sampling Plans for Product Inspection RS Kenett, S Zacks, D Amberti Modern Industrial Statistics: With Applications in R, MINITAB and JMP, 258-281, 0 | | |
