Aria, M., Gnasso, A., Iorio, C., & Fokkema, M. (2024). Extending Explainable Ensemble Trees (E2Tree) to regression contexts. arXiv preprint arXiv:2409.06439
Gnasso, A., Aria, M., Iorio, C., & Fokkema, M. (2024). Explainable decision tree ensembles. In A. Police, P. Mariani (eds), Methodological and Applied Statistics and Demography (SIS 2024), Springer Nature, pp. XXX-XXX [forthcoming]
Aria, M., Gnasso, A., Iorio, C., & Pandolfo, G. (2024). Explainable ensemble trees. Computational Statistics, 39(1), 3-19.
Aria, M., Gnasso, A., Iorio, C., & Pandolfo, G. (2023). Unlocking explainable in ensemble trees. 16th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2023) and 17th International Conference on Computational and Financial Econometrics (CFE 2023). ECOSTA ECONOMETRICS AND STATISTICS.
Aria M., Gnasso A., D’Aniello L. (2022) Twenty Years of Random Forest: preliminary results of a systematic literature review, IES 2022 Innovation & Society 5.0: Statistical and Economic Methodologies for Quality Assessment, pp. 225-230
Belfiore, A., Gnasso, A., Cuccurullo, C., Aria, M. (2022) AI and ML in accounting and finance: a bibliometric review, JADT 2022, Lexicometrica, pp. 95-101
Aria M., Cuccurullo C., Gnasso A. (2021) A comparison among interpretative proposals for Random Forests, Machine Learning with Applications, DOI: 10.1016/j.mlwa.2021.100094
Adamo D., Gnasso A., et al. (2021) Assessment of Sleep Disturbance in Oral Lichen Planus and Validation of PSQI: a case-control multicenter study from the SIPMO (Italian Society of Oral Pathology and Medicine), DOI: 10.1111/jop.13255
Aria M., Cuccurullo C., Gnasso A. (2021) Supporting decision-makers in healthcare domain. A comparative study of two interpretative proposals for Random Forests, ASA 2021 Statistics and Information Systems for Policy Evaluation, pp. 179-184
Speaker at International Conference on Data Science & Social Research - DSSR24
Speaker at 52nd Scientific Meeting of the Italian Statistical Society - SIS2024
Speaker at Measuring and Interpreting World Changes with Statistics, Data Science and AI - ASA2024
Participant at 26th International Conference on Computational Statistics - COMPSTAT2022
Speaker at International Conference on Data Science - ICDS2023 (Invited Session)
Speaker at 2nd Economics and Finance Workshop for PhD and Post-Doctoral Researchers
Participant at 16th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2023) and 17th International Conference on Computational and Financial Econometrics (CFE 2023)
Speaker at Innovation & Society 5.0: Statistical and Economic Methodologies for Quality Assessment - IES22
Speaker at International Conference on Statistical Analysis of Textual Data - JADT22
Speaker at European Conference on Data Analysis - ECDA22 (Sollecited Session)Speaker at the 2nd Economics and Finance Workshop for PhD and Post-Doctoral Researchers
Speaker at the 2nd Economics and Finance Workshop for PhD and Post-Doctoral Researchers
Speaker at ASA Scientific Conference on Statistics and Information Systems for Policy Evaluation
StatTalk: Methodology & Statistics, Leiden University. "E2Tree: Explaining decision tree ensembles"
Ph.D. Seminars: Department of Economics and Statistics, University of Naples, Federico II. "Explainable Ensemble Trees (E2Tree)"