Publications

A full and continuously updated list of publications is available on Google Scholar. The complete academic CV is available here.

Selected journal publications

  1. E. Ballante, P. Muliere, S. Figini. Generalized Bayesian Ensemble Survival Tree (GBEST) model. Statistics, 1-16, 2025. https://doi.org/10.1080/02331888.2025.2531445

  2. F.M. Quetti, S. Figini, E. Ballante. A Bayesian Approach to Ensemble Clustering with Applications. Statistics, 1-23, 2025. http://dx.doi.org/10.1080/02331888.2025.2505576

  3. A. Bondesan, A. Piralla, E. Ballante, A.M.G. Pitrolo, S. Figini, F. Baldanti, M. Zanella. Predictability of viral load dynamics in the early phases of SARS-CoV-2 through a model-based approach. Mathematical Biosciences and Engineering, 22(4), 725-743, 2025. https://doi.org/10.3934/mbe.2025027

  4. E. Ballante, F. Naz, S. Figini, S. Gerzeli. Customized Learning to predict student dropout. Advances and Applications in Mathematical Sciences, 23(4), 279-299, 2024.

  5. F. Naz, S. Gerzeli, E. Ballante, S. Figini. Learning in Lockdowns: A Five-Year Analysis of COVID-19’s Influence on University Students’ Academic Experiences. Advances and Applications in Statistics, 9(1), 59-75, 2023. https://doi.org/10.17654/0972361724005

  6. E. Ballante, L. Bellanger, P. Drouin, S. Figini, A. Stamm. Smoothing Method for Unit Quaternion Time Series in a Classification Problem: An application to motion data. Scientific Reports, 13, 9366, 2023. https://doi.org/10.1038/s41598-023-36480-y

  7. E. Ballante. An extension of generalized Bayesian ensemble tree models to survival analysis. Far East Journal of Theoretical Statistics, 67(2), 137-146, 2023. http://dx.doi.org/10.17654/0972086323007

  8. C. Scapicchio, A. Chincarini, E. Ballante, et al. A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia. European Radiology Experimental, 7, 18, 2023. https://doi.org/10.1186/s41747-023-00334-z

  9. R.F. Cabini, F. Brero, A. Lancia, C. Stelitano, O. Oneta, E. Ballante, et al. Preliminary report on harmonization of features extraction process using the ComBat tool in the multi-center Blue Sky Radiomics study on stage III unresectable NSCLC. Insights into Imaging, 13(1), 38, 2022.

  10. E. Ballante, S. Figini, P. Uberti. A new approach in model selection for ordinal target variables. Computational Statistics, 37, 43-56, 2022. https://doi.org/10.1007/s00180-021-01112-4

  11. E. Ballante, M. Galvani, P. Uberti, S. Figini. Polarized Classification Tree Models: theory and computational aspects. Journal of Classification, 38, 481-499, 2021. https://doi.org/10.1007/s00357-021-09383-8

  12. P. Felisaz, G. Colelli, E. Ballante, et al. Texture analysis and machine learning to predict muscle water T2 and fat fraction in Facioscapulohumeral muscular dystrophy. European Journal of Radiology, 134, 2021.

  13. E. Ballante, C. Bardelli, M. Zanella, S. Figini, G. Toscani. Economic segregation under the action of trading uncertainties. Symmetry, 12(9), 1390, 2020. https://doi.org/10.3390/sym12091390

Working papers

  1. E. Ballante, A. Mira, S. Figini. A Rank-Based Similarity Measure for Robust Hierarchical Clustering. Working paper.

  2. E. Ballante, A. Panzavolta, C. Lunetta, A. Dodich, C. Cerami, S. Figini. A Tree-Based Approach for Clustering Individual Networks: Identifying Emotion Recognition Profiles in Neurodegenerative Diseases. Working paper.

  3. F.M. Quetti, E. Ballante, S. Figini, P. Giudici. Explainable Cluster analysis: a bagging approach. Under review.

  4. M. Coniglione, E. Ballante, S. Assecondi, S. Figini. Network-based Clustering of Cognitive Profiles: A comparative two-phase approach mitigating double-dipping estimation. Working paper.

  5. A. Bonomo, G. Rigano, D. Giosa, L. Giuffrè, O. Romeo, S. Figini, E. Ballante. RAIDNC: Random forest Assisted Identification and Discrimination of Non-Coding transcripts. Working paper.

Proceedings and collaborations

For conference proceedings and the complete list of collaborative biomedical publications, please see the full CV or Google Scholar.