• 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