Multifractality and Long-Range Dependence of Asset returns: the Scaling Behavior of the Markov-Switching Multifractal Model with Lognormal volatility Components. - Ruipeng Liu; Tiziana di Matteo; Thomas Lux (Adv. Complex Syst., 2008)

Centrality and Peripherality in Filtered Graphs from Dynamical Financial Correlations. - Francesco Pozzi; Tiziana di Matteo; Tomaso Aste (Adv. Complex Syst., 2008)

Recipes for Baking Black Forest Databases - Building and Querying Black Hole Merger Trees from Cosmological Simulations. - Julio López 002; Colin Degraf; Tiziana di Matteo; Bin Fu; Eugene Fink; Garth A. Gibson (SSDBM, 2011)

Hierarchical information clustering by means of topologically embedded graphs. - Won-Min Song; Tiziana di Matteo; Tomaso Aste (CoRR, 2011)

Nested hierarchies in planar graphs. - Won-Min Song; Tiziana di Matteo; Tomaso Aste (Discret. Appl. Math., 2011)

Graph theory enables drug repurposing. How a mathematical model can drive the discovery of hidden Mechanisms of Action. - Ruggero Gramatica; Tiziana di Matteo; Stefano Giorgetti; Massimo Barbiani; Dorian Bevec; Tomaso Aste (CoRR, 2013)

Clustering and hierarchy of financial markets data: advantages of the DBHT. - Nicolò Musmeci; Tomaso Aste; Tiziana di Matteo (CoRR, 2014)

Petascale Cosmology: Simulations of Structure Formation. - Rupert A. C. Croft; Tiziana di Matteo; Nishikanta Khandai; Yu Feng 009 (Comput. Sci. Eng., 2015)

Parsimonious modeling with Information Filtering Networks. - Wolfram Barfuss; Guido Previde Massara; Tiziana di Matteo; Tomaso Aste (CoRR, 2016)

Sparse Causality Network Retrieval from Short Time Series. - Tomaso Aste; Tiziana di Matteo (Complex., 2017)

The Multiplex Dependency Structure of Financial Markets. - Nicolò Musmeci; Vincenzo Nicosia; Tomaso Aste; Tiziana di Matteo; Vito Latora (Complex., 2017)

Network Filtering for Big Data: Triangulated Maximally Filtered Graph. - Guido Previde Massara; Tiziana di Matteo; Tomaso Aste (J. Complex Networks, 2017)

Blockchain Technologies: The Foreseeable Impact on Society and Industry. - Tomaso Aste; Paolo Tasca; Tiziana di Matteo (Computer, 2017)

Dynamic correlations at different time-scales with Empirical Mode Decomposition. - Noemi Nava; Tiziana di Matteo; Tomaso Aste (CoRR, 2017)

Complexity of Products: The Effect of Data Regularisation. - Orazio Angelini; Tiziana di Matteo (Entropy, 2018)

Blockchain inefficiency in the Bitcoin peers network. - Giuseppe Pappalardo; Tiziana di Matteo; Guido Caldarelli; Tomaso Aste (EPJ Data Sci., 2018)

A New Multilayer Network Construction via Tensor Learning. - Giuseppe Brandi; Tiziana di Matteo (ICCS (6), 2020)

Disentangling shock diffusion on complex networks: identification through graph planarity. - Sudarshan Kumar; Tiziana di Matteo; Anindya S. Chakrabarti; Vincenzo Nicosia (J. Complex Networks, 2020)

AI-assisted super-resolution cosmological simulations. - Yin Li; Yueying Ni; Rupert A. C. Croft; Tiziana di Matteo; Simeon Bird; Yu Feng 009 (CoRR, 2020)

A new set of cluster driven composite development indicators. - Anshul Verma; Orazio Angelini; Tiziana di Matteo (EPJ Data Sci., 2020)

Unveil stock correlation via a new tensor-based decomposition method. - Giuseppe Brandi; Ruggero Gramatica; Tiziana di Matteo (J. Comput. Sci., 2020)

Higher-Order Hierarchical Spectral Clustering for Multidimensional Data. - Giuseppe Brandi; Tiziana di Matteo (ICCS (5), 2021)

AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics. - Yueying Ni; Yin Li; Patrick Lachance; Rupert A. C. Croft; Tiziana di Matteo; Simeon Bird; Yu Feng 009 (CoRR, 2021)

Predicting multidimensional data via tensor learning. - Giuseppe Brandi; Tiziana di Matteo (J. Comput. Sci., 2021)

COSMO: a Research Data Service Platform and Experiences from the BlueTides Project. - Julian A. Uran; Wanting Huang; Juan Puerto; Nianyi Chen; Mei-Yu Wang; Yueying Ni; Tiziana di Matteo; Paola Buitrago (PEARC, 2022)

Asymmetric Relatedness from Partial Correlation. - Carlos Saenz de Pipaon Perez; Andrea Zaccaria; Tiziana di Matteo (Entropy, 2022)

The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites. - Yueying Ni; Shy Genel; Daniel Anglés-Alcázar; Francisco Villaescusa-Navarro; Yongseok Jo; Simeon Bird; Tiziana di Matteo; Rupert A. C. Croft; Nianyi Chen; Natalí S. M. de Santi; Matthew Gebhardt; Helen Shao; et al. (CoRR, 2023)

Supervised Similarity for Firm Linkages. - Ryan Samson; Adrian Banner; Luca Candelori; Sebastien Cottrell; Tiziana di Matteo; Paul Duchnowski; Vahagn Kirakosyan; Jose Marques; Kharen Musaelian; Stefano Pasquali; Ryan Stever; Dario Villani (CoRR, 2025)

Bridging Literature and the Universe Via A Multi-Agent Large Language Model System. - Xiaowen Zhang; Zhenyu Bi; Patrick Lachance; Xuan Wang; Tiziana di Matteo; Rupert A. C. Croft (CoRR, 2025)