Composizione del Gruppo di Ricerca

Il progetto ha carattere multidisciplinare coinvolgendo 5 dipartimenti, 3 aree CUN e 7 SSD per un totale di 20 partecipanti.

Project coordinator

Francesco
Santini

Partecipanti al progetto

David
Aristei

Alessandra
Cretarola

Gianna
Figà Talamanca

Mario Luca
Fravolini

Andrea
Fronzetti Colladon

Filippo
Granocchia

Barbara
Guardabascio

Bruno
Iannazzo

Silvia
Lorenzini

Marco
Patacca

Davide
Petturiti

Ludovica
Segneri

Elena
Stanghellini

Carlo
Taticchi

Giulia
Verdoliva

Marco
Cuccarini

Luca Maria
Tutino

Alessandro
Denarda

Roberto
Vestrelli

Profilo di Qualità

Riportiamo di seguito 30 pubblicazioni del gruppo di ricerca, tutte correlate alle tematiche del progetto. Di queste, 16 pubblicazioni sono valutate nel quartile Q1 Scimago Journal Report (SJR) nei settori bibliometrici dei proponenti, mentre 14 pubblicazioni sono valutate in fascia A nei settori non bibliometrici dei proponenti.

1. Davide Aristei, Silvia Bacci, Francesco Bartolucci, Silvia Pandolfi. A bivariate finite mixture growth model with selection. Advances in Data Analysis and Classification, 15(3), pp. 759–793, 2021.
2. Alessandra Cretarola, Gianna Figà-Talamanca, Cyril Grunspan. Blockchain and cryptocurrencies: economic and financial research. Decisions in Economics and Finance, 2021.
3. Gianna Figà-Talamanca, Marco Patacca: An explorative analysis of sentiment impact on S&P 500 components returns, volatility and downside risk. Annals of Operations Research, 2022.
4. Alessandra Cretarola, Gianna Figà-Talamanca: Detecting bubbles in Bitcoin price dynamics via market exuberance. Annals of Operations Research, 299(1-2), pp. 459–479, 2021.
5. Alessandra Cretarola, Gianna Figà-Talamanca, Marco Patacca: Market attention and Bitcoin price modeling: theory, estimation and option pricing. Decision in Economics and Finance, 2019.
6. Alessandra Cretarola, Gianna Figà-Talamanca: Bubble regime identification in an attention-based model for Bitcoin and Ethereum price dynamics. Economics Letters, 2019.
7. Gianna Figà-Talamanca, Marco Patacca: Does market attention affect Bitcoin returns and volatility? Decision in Economics and Finance, 2019.
8. Michele Crispoltoni, Mario L. Fravolini, Fabio Balzano, Stephane D'Urso, Marcello R. Napolitano. Interval Fuzzy Model for Robust Aircraft IMU Sensors Fault Detection, Sensors, vol. 18, pp. 2488, 2018.
9. Enrico Bellocchio, Gabriele Costante, Silvia Cascianelli, Mario L. Fravolini, Paolo Valigi. Combining Domain Adaptation and Spatial Consistency for Unseen Fruits Counting: A Quasi-Unsupervised Approach, IEEE Robotics and Automation Letters, vol. 5, no. 2, pp.1079-1086, 2020.
10. Alessandro Devo, Giacomo Mezzetti, Gabriele Costante, Mario L. Fravolini, Paolo Valigi. Towards Generalization in Target-Driven Visual Navigation by Using Deep Reinforcement Learning. IEEE Transaction on Robotics, p. 1-16, ISSN: 1552-3098, 2020.
11. Nicholas Cartocci, Marcello R. Napolitano, Francesco Crocetti, Gabriele Costante, Paolo Valigi, Mario L. Fravolini. Data-driven fault diagnosis techniques: non-linear directional residual vs. machine-learning-based methods", Sensors, 22 (7), pp.2635, 2022.
12. Andrea Fronzetti Colladon, Johanne Saint-Charles, Pierre Mongeau: From words to connections: Word use similarity as an honest signal conducive to employees' digital communication. J. Inf. Sci. 47(6), 2021.
13. Andrea Fronzetti Colladon, Barbara Guardabascio, Rosy Innarella: Using social network and semantic analysis to analyze online travel forums and forecast tourism demand. Decis. Support Syst. 123, 2019.
14. Andrea Fronzetti Colladon, Peter A. Gloor: Measuring the impact of spammers on e-mail and Twitter networks. Int. J. Inf. Manag. 48: 254-262, 2019.
15. Agostino La Bella, Andrea Fronzetti Colladon, Elisa Battistoni, Silvia Castellan, Matteo Francucci: Assessing perceived organizational leadership styles through twitter text mining. J. Assoc. Inf. Sci. Technol. 69(1): 21-31, 2018.
16. Mohammed Elshendy, Andrea Fronzetti Colladon, Elisa Battistoni, Peter A. Gloor: Using four different online media sources to forecast the crude oil price. J. Inf. Sci. 44(3): 408-421, 2018.
17. Massimiliano Fasi, Bruno Iannazzo. Computing the weighted geometric mean of two large-scale matrices and its inverse times a vector. SIAM J. Matrix Anal. Appl. 39-1, pp. 178-203, 2018.
18. Massimiliano Fasi, Bruno Iannazzo. The dual inverse scaling and squaring algorithm for the matrix logarithm. IMA J. Numer. Anal., 42-2, pp. 2829-2851, 2022.
19. Massimiliano Fasi, Bruno Iannazzo. Computing primary solutions of equations involving primary matrix functions. Linear Algebra Appl. 560, pp. 17-42, 2019. 8
20. Davide Petturiti, Barbara Vantaggi: Conditional decisions under objective and subjective ambiguity in Dempster-Shafer theory. Fuzzy Sets Syst. 447: 155-181, 2022.
21. Davide Petturiti, Barbara Vantaggi: Probability envelopes and their Dempster-Shafer approximations in statistical matching. Int. J. Approx. Reason. 150: 199-222, 2022.
22. Davide Petturiti, Barbara Vantaggi: Modeling agent's conditional preferences under objective ambiguity in Dempster-Shafer theory. Int. J. Approx. Reason. 119: 151-176, 2020.
23. Giulianella Coletti, Davide Petturiti, Barbara Vantaggi: Models for pessimistic or optimistic decisions under different uncertain scenarios. Int. J. Approx. Reason. 105: 305-326, 2019.
24. Giulianella Coletti, Davide Petturiti, Barbara Vantaggi: Dutch book rationality conditions for conditional preferences under ambiguity. Ann. Oper. Res. 279(1-2): 115-150, 2019.
25. Kasper Dokter, Fabio Gadducci, Benjamin Lion, Francesco Santini: Soft constraint automata with memory. J. Log. Algebraic Methods Program. 118: 100615, 2021.
26. Stefano Bistarelli, Francesco Santini: Abstract argumentation and (optimal) stable marriage problems. Argument Comput. 11(1-2): 15-40, 2020.
27. Stefano Bistarelli, Ivan Mercanti, Paolo Santancini, Francesco Santini: End-to-End Voting with Non-Permissioned and Permissioned Ledgers. J. Grid Comput. 17(1): 97-118, 2019.
28. Stefano Bistarelli, Fabio Rossi, Francesco Santini: A novel weighted defence and its relaxation in abstract argumentation. Int. J. Approx. Reason. 92: 66-86, 2018.
29. Elena Stanghellini, Marco Doretti: On marginal and conditional parameters in logistic regression models. Biometrika, Vol. 106(3), pp. 732-739, 2019.
30. Martina Raggi, Elena Stanghellini, Marco Doretti. Path Analysis for Binary Random Variables. Sociological Methods and Research. Published online first, SAGE Publications Inc, 2021.