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2020 – today
- 2023
[i12]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, Shivam Pandey, Lars Hernquist, Romeel Dave:
The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites. CoRR abs/2304.02096 (2023)- 2022
- [j15]Carlos Saenz de Pipaon Perez, Andrea Zaccaria, Tiziana di Matteo:
Asymmetric Relatedness from Partial Correlation. Entropy 24(3): 365 (2022) - [c4]Julian A. Uran, Wanting Huang, Juan Puerto, Nianyi Chen, Mei-Yu Wang, Yueying Ni, Tiziana di Matteo, Paola Buitrago:
COSMO: a Research Data Service Platform and Experiences from the BlueTides Project. PEARC 2022: 42:1-42:5 - 2021
- [j14]Giuseppe Brandi, Tiziana di Matteo:
Predicting multidimensional data via tensor learning. J. Comput. Sci. 53: 101372 (2021) - [c3]Giuseppe Brandi, Tiziana di Matteo:
Higher-Order Hierarchical Spectral Clustering for Multidimensional Data. ICCS (5) 2021: 387-400 - [i11]Yueying Ni, Yin Li, Patrick Lachance, Rupert A. C. Croft, Tiziana di Matteo, Simeon Bird, Yu Feng:
AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics. CoRR abs/2105.01016 (2021) - 2020
- [j13]Sudarshan Kumar, Tiziana di Matteo, Anindya S. Chakrabarti, Vincenzo Nicosia:
Disentangling shock diffusion on complex networks: identification through graph planarity. J. Complex Networks 8(3) (2020) - [j12]Anshul Verma, Orazio Angelini, Tiziana di Matteo:
A new set of cluster driven composite development indicators. EPJ Data Sci. 9(1): 8 (2020) - [j11]Giuseppe Brandi, Ruggero Gramatica, Tiziana di Matteo:
Unveil stock correlation via a new tensor-based decomposition method. J. Comput. Sci. 46: 101116 (2020) - [c2]Giuseppe Brandi, Tiziana di Matteo:
A New Multilayer Network Construction via Tensor Learning. ICCS (6) 2020: 148-154 - [i10]Giuseppe Brandi, Tiziana di Matteo:
Predicting Multidimensional Data via Tensor Learning. CoRR abs/2002.04328 (2020) - [i9]Yin Li, Yueying Ni, Rupert A. C. Croft, Tiziana di Matteo, Simeon Bird, Yu Feng:
AI-assisted super-resolution cosmological simulations. CoRR abs/2010.06608 (2020)
2010 – 2019
- 2018
- [j10]Orazio Angelini, Tiziana di Matteo:
Complexity of Products: The Effect of Data Regularisation. Entropy 20(11): 814 (2018) - [j9]Giuseppe Pappalardo, Tiziana di Matteo, Guido Caldarelli, Tomaso Aste:
Blockchain inefficiency in the Bitcoin peers network. EPJ Data Sci. 7(1): 30 (2018) - 2017
- [j8]Tomaso Aste, Tiziana di Matteo:
Sparse Causality Network Retrieval from Short Time Series. Complex. 2017: 4518429:1-4518429:13 (2017) - [j7]Nicolò Musmeci, Vincenzo Nicosia, Tomaso Aste, Tiziana di Matteo, Vito Latora:
The Multiplex Dependency Structure of Financial Markets. Complex. 2017: 9586064:1-9586064:13 (2017) - [j6]Guido Previde Massara, Tiziana di Matteo, Tomaso Aste:
Network Filtering for Big Data: Triangulated Maximally Filtered Graph. J. Complex Networks 5(2): 161-178 (2017) - [j5]Tomaso Aste, Paolo Tasca, Tiziana di Matteo:
Blockchain Technologies: The Foreseeable Impact on Society and Industry. Computer 50(9): 18-28 (2017) - [i8]Giuseppe Pappalardo, Tiziana di Matteo, Guido Caldarelli, Tomaso Aste:
Blockchain Inefficiency in the Bitcoin Peers Network. CoRR abs/1704.01414 (2017) - [i7]Noemi Nava, Tiziana di Matteo, Tomaso Aste:
Dynamic correlations at different time-scales with Empirical Mode Decomposition. CoRR abs/1708.06586 (2017) - 2016
- [i6]Wolfram Barfuss, Guido Previde Massara, Tiziana di Matteo, Tomaso Aste:
Parsimonious modeling with Information Filtering Networks. CoRR abs/1602.07349 (2016) - [i5]Nicolò Musmeci, Vincenzo Nicosia, Tomaso Aste, Tiziana di Matteo, Vito Latora:
The multiplex dependency structure of financial markets. CoRR abs/1606.04872 (2016) - 2015
- [j4]Rupert A. C. Croft, Tiziana di Matteo, Nishikanta Khandai, Yu Feng:
Petascale Cosmology: Simulations of Structure Formation. Comput. Sci. Eng. 17(2): 40-46 (2015) - [i4]Guido Previde Massara, Tiziana di Matteo, Tomaso Aste:
Network Filtering for Big Data: Triangulated Maximally Filtered Graph. CoRR abs/1505.02445 (2015) - 2014
- [i3]Nicolò Musmeci, Tomaso Aste, Tiziana di Matteo:
Clustering and hierarchy of financial markets data: advantages of the DBHT. CoRR abs/1406.0496 (2014) - 2013
- [i2]Ruggero Gramatica, Tiziana di Matteo, Stefano Giorgetti, Massimo Barbiani, Dorian Bevec, Tomaso Aste:
Graph theory enables drug repurposing. How a mathematical model can drive the discovery of hidden Mechanisms of Action. CoRR abs/1306.0924 (2013) - 2011
- [j3]Won-Min Song, Tiziana di Matteo, Tomaso Aste:
Nested hierarchies in planar graphs. Discret. Appl. Math. 159(17): 2135-2146 (2011) - [c1]Julio López, Colin Degraf, Tiziana di Matteo, Bin Fu, Eugene Fink, Garth A. Gibson:
Recipes for Baking Black Forest Databases - Building and Querying Black Hole Merger Trees from Cosmological Simulations. SSDBM 2011: 546-554 - [i1]Won-Min Song, Tiziana di Matteo, Tomaso Aste:
Hierarchical information clustering by means of topologically embedded graphs. CoRR abs/1110.4477 (2011)
2000 – 2009
- 2008
- [j2]Ruipeng Liu, Tiziana di Matteo, Thomas Lux:
Multifractality and Long-Range Dependence of Asset returns: the Scaling Behavior of the Markov-Switching Multifractal Model with Lognormal volatility Components. Adv. Complex Syst. 11(5): 669-684 (2008) - [j1]Francesco Pozzi, Tiziana di Matteo, Tomaso Aste:
Centrality and Peripherality in Filtered Graphs from Dynamical Financial Correlations. Adv. Complex Syst. 11(6): 927-950 (2008)
Coauthor Index
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