Tosto, M., Cirrincione, G., Cruz Rambaud, S., Squillante, M. A Multi-Criteria Approach to Evaluate School Accessibility. AHPSort II and FlowSort: A Comparative Study. Electronic Journal of Applied Statistical Analysis, 2026. DOI: 10.1285/i20705948v19n1p192
Cavallo, B., Fattoruso, G., Ishizaka, A., De Filippo M.C., (2026). Sustainable tourism: A group parsimonious approach. Management Decision. https://doi.org/10.1108/MD-09-2025-2744
Kazan, A.; Kazan, S.; Gür Mazlum, S.; Karaca, E.; Altın, M.; Grilli, L. Canal Hypersurfaces Generated by Pseudo-Null Curves with Bishop Frame in Lorentz–Minkowski 4-Space. Symmetry 2026, 18, 935. https://doi.org/10.3390/sym1806093
Antonio Vairo, Luca Grilli, Kamile Taujanskaite, Cross-country generalization bias in agricultural production: do machine learning models learn the same way?, Applied Mathematical Sciences, Vol. 20, 2026, no. 2, 69-77 https://doi.org/10.12988/ams.2026.919323
Sgarro, G.A., Santoro, D. & Grilli, L. Ant colony optimization for solving mixed Chinese postman problem on open real world data. Neural Comput & Applic 38, 134 (2026). https://doi.org/10.1007/s00521-026-11846-1
Sgarro GA, Vasco P, Santoro D, Grilli L, Giglio M, Brunetti ND, et al. (2026) Identifying risk patterns for sudden cardiac death in athletes: A clustering and principal component analysis approach. PLoS One 21(1): e0339377. https://doi.org/10.1371/journal.pone.0339377
Yıldız, C.C.; Şenyurt, S.; Grilli, L. Parallel Darboux Equidistant Ruled Surfaces in E3. Symmetry 2026, 18, 111. https://doi.org/10.3390/sym18010111
Tosto, M., Cirrincione, G., Cruz Rambaud, S., Fattoruso, G., Squillante, M. (2025). Multi-Criteria Decision Making and Artificial Intelligence for the School system: a systematic literature review, pp 9-33, Vol. 55. Ratio Mathematica. http://dx.doi.org/10.23755/rm.v55i0.1710
R. C. Fabiola Imperatrice , Lucia Melchiorre, Domenico Lorusso, Domenico Santoro, Luca Grilli "Beyond the traditional classroom: innovation and inclusion in math teaching with AI", Journal of Inclusive Methodology and Technology in Learning and Teaching, ISSN 2785-5104, Anno 5 n.3 (2025) link
Francesca Ranieri, Luca Grilli, Caterina De Lucia, Pasquale Pazienza, Antonio Felice Uricchio, "La fiscalità di scopo: il contributo ambientale nelle Isole Tremiti", RIVISTA ITALIANA DI DIRITTO DEL TURISMO, 2025 Fascicolo 2025/44, https://doi.org/10.3280/DT2025-044003
Toto GA, Grilli L, Traetta L, Villani R, Petito A and Serviddio G (2025) "Convergence of disciplines: a systematic review of multidisciplinary development approaches in artificial intelligence". Front. Digit. Health 7:1400338. https://doi.org/10.3389/fdgth.2025.1400338
Boyacıoğlu Kalkan, Özgür, Süleyman Şenyurt, Davut Canlı, and Luca Grilli. (2025). "Involute Partner-Ruled Surfaces Formed by Involutes of Spacelike Curves in Minkowski Three-Space", Axioms 14, no. 5: 337. https://doi.org/10.3390/axioms14050337
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. https://doi.org/10.1007/978-3-031-64350-7_96
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.
Fattoruso, G., Squillante, M., (2024). Analytic Hierarchy Process e le sue estensioni. Metodi e applicazioni socio-economiche. Editoriale Scientifica. ISBN 979-12-235-0030-9
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
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).
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
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
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
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