Pubblicazioni | Dipartimento di Economia

2025

Forti, M., Bilancia, M., Cafarelli, B., del Gobbo, E., Nigri, A. (2025). Predicting dropout from higher education with multinomial finite mixture models: empirical evidence from Italy. Quality & Quantity. doi: 10.1007/s11135-025-02135-5.
Levantesi, S., Nigri, A., Pagnottoni, P. Spelta, A. (2025). Wasserstein barycenter regression: application to the joint dynamics of regional GDP and life expectancy in Italy. AStA Advances in Statistical Analysis, 109, 313–336. doi: 10.1007/s10182-024-00506-1.
Lanfiuti Baldi, G., Nigri, A., & Shang, H. L. (2025). Age-Period Modeling of Mortality Gaps: The Cases of Cancer and Circulatory Diseases. Journal of Official Statistics, 41(4), 1154-1180. doi: 10.1177/0282423X251350772.
Fattoruso, G., Marcarelli, G. (2025). An empirical analysis to test the ability of multi-criteria methods to explain some behavioural anomalies. Soft Comput 29, 4549–4558. doi: 10.1007/s00500-025-10630-y.
Ayadi, W., Andria, J., Tollo, G.d. Fattoruso, G. (2025). Biclustering sustainable local tourism systems by the Tabu search optimization algorithm. Quality & Quantity. doi: 10.1007/s11135-025-02105-x.
Nigri, A., Forti, M., & Shang, H. L. (2025). Extending finite mixture models with skew-normal distributions and hidden Markov models for time series. Journal of Statistical Computation and Simulation, 1–28. doi:10.1080/00949655.2025.2568148.
Alderighi, M., Ciano, T., Ferrara, M. & Santoro, D. (2025). MONTUR project: dataset for understanding and forecasting tourist flows. PLOS ONE. 20(10): e0335190. doi: 10.1371/journal.pone.0335190.
Anyebe, D., Di Bari, A., Santoro, D. & Villani, G. (2025). A PPP Projects Valuation: Real Options, Competition and Anchoring Bias. Computational Economics. doi: 10.1007/s10614-025-11109-6.
Grilli L., Sgarro G. A. (2025). Rivoluzione educativa: come l’AI personalizza l’insegnamento, risolve problemi e prevede comportamenti, numero 105, Mondo Digitale, Aica.
Fattoruso, G., Mancini, P., Marcarelli, G., Squillante, M. (2025). A new q-AHPSort II to classify STEM master’s degree programme. Annals of Operations Research, 1-22.
Santoro, D., Grilli, L., Sgarro, G.A., Colasanto, F., Villani, G. (2025). MCMC Approach for Stock Price Forecasting Using an Italian-BERT Model. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography II. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer, Cham.
Pronello, N., Del Gobbo, E., Fontanella, L., Ignaccolo, R., Ippoliti, L., Fontanella, S. (2025). Functional graphical models for corpus linguistics in social media. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography II. SIS 2024, Short Papers, Solecited Sessions. Italian Statistical Society Series on Advances in Statistics. Springer, Cham.
Baldi, G. L., Nigri, A. (2025). Statistical Modelling of Population Gaps in Mortality: The Skellam Distribution. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography IV: SIS 2024, Short Papers, Contributed Sessions 2. Italian Statistical Society Series on Advances in Statistics. Springer, Cham.

2024

Di Bari, A., Grilli, L., Santoro, D. Villani, G. (2024). A new methodology to support wind investment decision: a combination of natural language processing and Monte Carlo option pricing technique. Decisions in Economics and Finance
Santoro, D., Ciano, T. Ferrara, M. (2024). A comparison between machine and deep learning models on high stationarity data. Scientific Reports, 14, 19409
Sgarro, G.A., Santoro, D. Grilli, L. (2024). Ant Colony Optimization for solving Directed Chinese Postman Problem. Neural Computing & Applications. 36, 17615–17630
Guarino, A. Santoro, D. Grilli, L. Zaccagnino, R. Balbi, M. (2024). EvoFolio: a portfolio optimization method based on multi-objective evolutionary algorithms. Neural Computing & Applications. 36, 7221–7243
Sgarro, G.A. Grilli, L. Santoro, D. (2024). Optimal multivariate mixture: a genetic algorithm approach. Annals of Operations Research
Vairo, A. Sgarro, G.A. Romano, F. (2024). Predicting Commodity Prices: a Neural Networks Approach to improve Market Prospects. Applied Mathematical Sciences, Vol. 18, 2024, no. 6, 289-298
Fattoruso, G. Barbati, M. Ishizaka, A. (2024). An AHP parsimonious based approach to handle manufacturing errors in production processes. Production Planning & Control 35 (16), 2370-2399
Cavallo, B. Fattoruso, G. Ishizaka, A. (2024). A new SMAA-based methodology for incomplete pairwise comparison matrices: evaluating production errors in the automotive sector. Journal of the Operational Research Society 75 (8), 1535-1568
di Tollo, G. Fattoruso, G. Filograsso, G. (2024). An adaptive evolutionary strategy for long–short portfolio construction. Decisions in Economics and Finance, 1-22
Fattoruso, G. Martino, R. Ventre, V. Violi, A. (2024). A dynamic model for performance evaluations: an integrated approach based on P-AHP and aggregation operators. Management Decision
M. Biancardi, L. Maddalena. The Effects of R&D in Adaptation Technologies on International Environmental Agreements. Proceedings of the International Conference “Game Theory and Applications” 2022 Trends in Mathematics, Leon A. Petrosyan, Vladimir Mazalov, Nikolay A. Zenkevich Editors 2024
Di Bari, A., Grilli, L., Santoro, D., Villani, G. (2024). A Combination of NLP and Monte Carlo Technique to Improve Wind Investment Decisions. In: Corazza, M., Gannon, F., Legros, F., Pizzi, C., Touzé, V. (eds) Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2024. Springer, Cham
Canlı, D.; ̧Senyurt, S.; Ertem Kaya, F.; Grilli, L. (2024). The Pedal Curves Generated by Alternative Frame Vectors and Their Smarandache Curves. Symmetry. 16, 1012
Sgarro Giacinto Angelo, Luca Grilli. (2024) Ant Colony Optimization for Chinese Postman Problem. Neural Computing and Applications 36(6). 2901-2920
M. Bufalo, A. Nigri. (2024). Forecasting vital rates by a trimodal extension of the flexible generalized skew normal probability density function. Statistics, 1-25
S. Levantesi, A. Nigri, P. Pagnottoni, A. Spelta. (2024). Wasserstein barycenter regression: application to the joint dynamics of regional GDP and life expectancy in Italy. AStA Advances in Statistical Analysis, 1-24
M. Bilancia, A. Nigri, B. Cafarelli, D. Di Bona. (2024). An interpretable cluster-based logistic regression model, with application to the characterization of response to therapy in severe eosinophilic asthma. The International Journal of Biostatistics. (2024)
M. Bonetti, U. Basellini, A. Nigri. (2024). The Average Uneven Mortality index: Building on the ‘e-dagger’ measure of lifespan inequality. Demographic Research. 50, 1281-1300, 1
A. Nigri, S. Levantesi, S. Scognamiglio. (2024). Disaggregating Death Rates of Age-Groups Using Deep Learning Algorithms. Journal of Official Statistics
L.S. Alaimo, A. Nigri. (2024). The gender gap in life expectancy and lifespan disparity as social risk indicators for international countries: A fuzzy clustering approach. Socio-Economic Planning Sciences 91, 101712 1

2023

Giulio Mario Cappelletti, Rossana Caputo, Michela Cariglia, Luca Grilli, Carlo Russo, Domenico Santoro, Giacinto Angelo Sgarro Harnessing the power of blockchain in the agri-food sector: a meta-analysis of current research and best practices, Applied Mathematical Sciences, Vol. 17, 2023, no. 10, 477-501
Sgarro Giacinto Angelo, Luca Grilli, Anna Antonia Valenzano, Fiorenzo Moscatelli, Domenico Monacis, Giusi Toto, Antonella De Maria, Giovanni Messina, and Rita Polito The Role of BIA Analysis in Osteoporosis Risk Development: Hierarchical Clustering Approach. Diagnostics 2023 (Section Machine Learning and Artificial Intelligence in Diagnostics), 13, 2292.
Alfonso Guarino, Luca Grilli, Domenico Santoro, Francesco Messina, Rocco Zaccagnino On the efficacy of ‘herd behavior’ in the commodities market. A neuro-fuzzy agent ‘herding’ on deep learning traders, Applied Stochastic Models in Business and Industry, in press (2023)
Giacinto Angelo Sgarro, Luca Grilli, Anna Valenzano, Fiorenzo, Moscatelli, Domenico Monacis, Giusi Antonia Toto, Antonella De Maria, Giovanni Messina, Rita Polito The role of BIA Analysis in Osteoporosis Risk Develop- ment: Hierarchical clustering approach, Diagnostics (section Machine Learning and Artificial Intelligence), in press (2023).
Emiliano del Gobbo, Alfonso Guarino, Barbara Cafarelli, Luca Grilli GradeAid: a framework for automatic short answers grading in educational contexts—design, implementation and evaluation, Knowledge and Information Systems (2023)
Emiliano del Gobbo, Alfonso Guarino, Barbara Cafarelli, Luca Grilli, Pierpaolo Limone, Automatic evaluation of open-ended questions for online learning. A systematic mapping, Studies in Educational Evaluation, Volume 77, 2023, 101258, ISSN 0191-491X
Cappelletti, Giulio Mario, Luca Grilli, Carlo Russo, and Domenico Santoro Benchmarking Sustainable Mobility in Higher Education Sustainability 15, no. 6: 5190. 2023.
Sgarro G. A., Grilli L. Genetic algorithm for optimal multivariate mixture, Applied Mathematical Sciences, Vol. 17, 2023, no. 1, 15-25
Di Bari Antonio, Santoro Domenico, Tarrazon-Rodon Maria Antonia, and Villani Giovanni, (2023). The impact of polarity score on real option valuation for multistage projects. Quality & Quantity. doi: 10.1007/s11135-023-01635-6
Cardillo G., Giordani P., Levantesi S., Nigri A., Spelta A., Mortality forecasting using a four-way CANDECOMP/PARAFAC decomposition. Scandinavian Actuarial Journal. 2023
Levantesi S., Nigri A., Piscopo G., Spelta A., Multi-country clustering-based forecasting of healthy life expectancy. Quality & Quantity, 2023, 1-27

2022

Grilli L., Santoro D. Forecasting financial time series with Boltzmann entropy through neural networks, Computational Management Science, Volume 19, Issue 4, Pages 665 - 681, October 2022.
Cappelletti G. M., Grilli L., Russo C., Santoro D. Machine Learning and Sustainable Mobility: TheCase of the University of Foggia (Italy), Applied Sciences 12, no. 17: 8774. 2022.
Guarino A., Grilli L., Santoro D., Messina F., Zaccagnino R. To learn or not to learn? Evaluating autonomous, adaptive, automated traders in cryptocurrencies financial bubbles, Neural Computing and Applications, Volume 34, Issue 23, Pages 20715 - 20756, December 2022.
Lamonaca E., Cafarelli B., Calculli C., Tricase C. Consumer perception of attributes of organic food in Italy: A CUB model study. Heliyon, Volume 8, Issue 3, 2022.
Nigri A., Aburto J. M., Basellini U., Bonetti M. Evaluation of age-specific causes of death in the context of the Italian longevity transition. Scientific Reports 12, 22624. 2022.
Grilli L., Santoro D. Generative Adversarial Network to evaluate quantity of information in financial markets, Neural Computing and Applications, Volume 34, Issue 20, Pages 17473 - 17490, October 2022.
Colasanto F., Grilli L., Santoro D., Villani G. Neural Network Contribute to Reverse Cryptographic Processes in Bitcoin Systems: attention on SHA256, Applied Mathematical Sciences, Vol. 16, 2022, no. 4, 215 - 232
Colasanto F., Grilli L., Santoro D., Villani G. BERT's sentiment score for portfolio optimization: a fine-tuned views in Black and Litterman model, Neural Computing and Applications, 34(20), pp. 17507-17521 (2022).
Cardillo G., Giordani P., Levantesi S., Nigri A. A tensor-based approach to cause-of-death mortality modeling. Annals of Operations Research, 1-20. 2022
Colasanto F., Grilli L., Santoro D., Villani G. AlBERTino for stock price prediction: a Gibbs sampling approach, Information Sciences, Volume 597, 2022, Pages 341-357, ISSN 0020-0255
Casalino G., Grilli L., Guarino A., Schicchi D., Taibi D. Intelligent Knowledge Understanding from Students Questionnaires: A Case Study. 2022. In: Casalino G. et al. (eds), Higher Education Learning Methodologies and Technologies Online. HELMeTO 2021. Communications in Computer and Information Science, vol 1542. Springer, Switzerland.
Nigri A., Levantesi S., Aburto J. M. Leveraging deep neural networks to estimate age specific mortality from life expectancy at birth. DEMOGRAPHIC RESEARCH. 2022. doi: 10.4054/DemRes.2022.47.8
Marino M., Levantesi S., Nigri A. A neural approach to improve the Lee-Carter mortality density forecasts. North American Actuarial Journal. 2022.
del Gobbo E., Guarino A., Cafarelli B., Grilli L., Limone P. On the perceptions of online learning due to COVID-19 pandemic. Case study: University of Foggia, Italy. In: Limone, P., Di Fuccio, R., Toto, G.A. (eds) Psychology, Learning, Technology. PLT 2022. Communications in Computer and Information Science, vol 1606. Springer, Cham.

2021

Levantesi S., Nigri A., Piscopo G. Clustering-based simultaneous forecasting of life expectancy time series through Long-Short Term Memory Neural Networks. International Journal of Approximate Reasoning. 2021.
Casalino G., Cafarelli B., del Gobbo E., Fontanella L., Grilli L., Guarino A., Limone P., Schicchi D., Taibi D. Framing automatic grading techniques for open-ended questionnaires responses. A short survey. 2021. CEUR Workshop Proceedings, Volume 3025, ISSN 1613-0073
del Gobbo, E., Fontanella, S., Sarra, A. et al. Emerging Topics in Brexit Debate on Twitter Around the Deadlines. Social Indicators Research 156, 669–688, 2021.
Grilli L., Casalino G., Limone P., Santoro D., Schicchi D. Deep learning for knowledge tracing in learning analytics: an overview, Proceedings of the First Workshop on Technology Enhanced Learning Environments for Blended Education - The Italian e-Learning Conference 2021, In CEUR WORKSHOP PROCEEDINGS - ISSN:1613-0073, 2021, vol. 2817
Casalino G., Grilli L., Schicchi D., Taibi D. Intelligent Knowledge understanding from students questionnaires, Book of Abstracts HELMeTO 2021 3rd International Workshop on Higher Education Learning Methodologies and Technologies, 2021, Ed. by Marta Cimitile and Riccardo Pecori, pp. 66-68, ISBN: 978-88-99978-36-5
Russo, V, del Gobbo E. Inside Trending Topic Algorithm: How Do Human Interactions Drive Public Opinion in an Artificial Environment. Social Science Computer Review. Volume 41 Issue 1, 2021.
Limone P., Toto G.A., Cafarelli, B. The Decision-Making Process and the Construction of Online Sociality through the Digital Storytelling Methodology. Electronics 2021, 10, 2465.
Grilli L., Santoro D. Cryptocurrencies markets and entropy: a statistical ensemble based approach. Applied Mathematical Sciences, Vol. 15, 2021, no. 7, 297-320. doi: 10.12988/ams.2021.914488

2020

Grilli L., Gutierrez M., Maddalena L., Piga A. Optimal selection and environmental sustainability of innovative storage conditions and packaging technologies in cheesecake production, Applied Mathematical Sciences, Vol. 14, 2020, no. 6, 245-270,
Bisceglia M., Grilli L., A Dynamic Private Property Resource Game with Asymmetric Firms, Decisions in Economics and Finance, 43, 109–127 (2020).
Nigri A., Levantesi S., Marino M. Life expectancy and lifespan disparity forecasting: a Long ShortTerm Memory approach. Scandinavian Actuarial Journal. 2020