Federica Baccini
Assistant Professor (Ricercatore a Tempo Determinato Tipologia A)
Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti"
Università di Roma "La Sapienza"
Office: room B123 - Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti", Via Ariosto 25, 00185, Rome.
Office hour: please send an email to book an appointment.
Contact: baccini@diag.uniroma1.it or federica.baccini@uniroma1.it
Short bio
Hi! I am an Assistant Professor (Ricercatore a Tempo Determinato Tipologia A) at the Department of Computer, Control and Management Engineering "Antonio Ruberti", Università di Roma "La Sapienza". I am currently collaborating with Prof. Fabrizio Silvestri and Prof. Irene Amerini as part of the RSTLess research group.
My main research interests evolve around the analysis of graph-structured data, with emphasis on their interdisciplinary applications. My previous and ongoing work include the analysis of multilayer and higher-order networks, and the study of machine learning models for graphs.
Downloads
Complete CV in .pdf format.
Teaching activities
A.Y. 2024/2025 Fundamentals of Artificial Intelligence and Data Management, module Fundamentals of Artificial Intelligence (6 CFU)
Course year: 2 - Bachelor's Degree Course Mathematical Sciences for Artificial Intelligence (classe di laurea L-35)
A.Y. 2023/2024 Fundamentals of Artificial Intelligence and Data Management, module Fundamentals of Artificial Intelligence (6 CFU)
Course year: 2 - Bachelor's Degree Course Mathematical Sciences for Artificial Intelligence (classe di laurea L-35)
List of publications
Mazzierli, T., Baccini, F., Allinovi, M., Gallo, P., Tsalouchos, A., Laudicina, S., Di Marcantonio, E., Ravaglia, F., Somma, C & Dattolo, P. (2025). Stratification of IgA nephropathy using similarity network fusion: clinical, biochemical, and biopsy-based clusters with prognostic implications. Nephrology Dialysis Transplantation. ERA-EDTA Congress 2025 [abstract accepted for publication].
Siciliano, F., Maiano, L., Papa, L., Baccini, F., Amerini, I., Silvestri, F. (2025). Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2023. Communications in Computer and Information Science, vol 2134. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-74627-7_44.
Bernàrdez, G., Telyatnikov, L., Montagna, M., Baccini, F., Papillon, M., Ferriol-Galms, M., et al. (2024). ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM), in Proceedings of Machine Learning Research. DOI: https://proceedings.mlr.press/v251/bernardez24a.html.
Ambrosini, R., Baccini, F., & Barabesi, L. (2024). Similarity network aggregation for the analysis of glacier ecosystems. Environmetrics, e2875. DOI: https://doi.org/10.1002/env.2875.
Baccini, A., Baccini, F., Barabesi, L., Cioni, M., Petrovich, E., & Pignalosa, D. (2024). Fine-grained classification of journal articles based on multiple layers of information through similarity network fusion: The case of the Cambridge Journal of Economics. Scientometrics, 129(1), 373-400. https://doi.org/10.1007/s11192-023-04884-2.
Peyronel, F., Rossi, A., Palazzini, G., Tagliavini, D. & Baccini, F. (2024). Development of an app for a science-based prescription of haemodialysis, Nephrology Dialysis Transplantation, Volume 39, Issue Supplement 1, May 2024, gfae06907661605. DOI: https://doi.org/10.1093/ndt/gfae069.766.
Baccini, F., Barabesi, L., & Petrovich, E. (2023). Similarity matrix average for aggregating multiplex networks. Journal of Physics: Complexity, 4(2), 025017. https://doi.org/10.1088/2632-072X/acda09.
Baccini, F. (2023). Analysis of Multiple Relations in Multilayer and Higher-Order Networks. PhD thesis.
Baccini, F., Geraci, F., & Bianconi, G. (2022). Weighted simplicial complexes and their representation power of higher-order network data and topology. Physical Review E, 106(3), 034319. DOI:https://doi.org/10.1103/PhysRevE.106.034319.
Baccini, F., Barabesi, L., Baccini, A., Khelfaoui, M., & Gingras, Y. (2022). Similarity network fusion for scholarly journals. Journal of Informetrics, 16(1), 101226. DOI: https://doi.org/10.1016/j.joi.2021.101226.
Baccini, F., Bianchini, M., & Geraci, F. (2022). Graph-Based Integration of Histone Modification Profiles. Mathematics, 10(11), 1842. DOI: https://doi.org/10.3390/math10111842.
Guerranti, F., Mannino, M., Baccini, F., Bongini, P., Pancino, N., Visibelli, A., & Marziali, S. (2021). CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients. Procedia Computer Science, 192, 1696-1704. DOI: https://doi.org/10.1016/j.procs.2021.08.174.
This Website's cover is adapted from a sketch kindly given to me by my dearest friend and artist Maurizio Olivotto.