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Alessandro Muscoloni
Alessandro Muscoloni
Senior AI Scientist, Ada Health
在 ada.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Machine learning meets complex networks via coalescent embedding in the hyperbolic space
A Muscoloni, JM Thomas, S Ciucci, G Bianconi, CV Cannistraci
Nature Communications 8 (1), 1, 2017
2182017
A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities
A Muscoloni, CV Cannistraci
New Journal of Physics 20 (5), 052002, 2018
1022018
Modular gateway-ness connectivity and structural core organization in maritime network science
M Xu, Q Pan, A Muscoloni, H Xia, CV Cannistraci
Nature communications 11 (1), 2849, 2020
752020
Leveraging the nonuniform PSO network model as a benchmark for performance evaluation in community detection and link prediction
A Muscoloni, CV Cannistraci
New Journal of Physics 20 (6), 063022, 2018
522018
Functional brain network topology discriminates between patients with minimally conscious state and unresponsive wakefulness syndrome
A Cacciola, A Naro, D Milardi, A Bramanti, L Malatacca, M Spitaleri, A Leo, ...
Journal of clinical medicine 8 (3), 306, 2019
472019
Local-community network automata modelling based on length-three-paths for prediction of complex network structures in protein interactomes, food webs and more
A Muscoloni, I Abdelhamid, CV Cannistraci
BioRxiv, 346916, 2018
442018
Navigability evaluation of complex networks by greedy routing efficiency
A Muscoloni, CV Cannistraci
Proceedings of the National Academy of Sciences 116 (5), 1468-1469, 2019
342019
Proprotein convertase subtilisin/kexin 9 (PCSK9) promotes macrophage activation via LDL receptor-independent mechanisms
S Katsuki, P K. Jha, A Lupieri, T Nakano, LSA Passos, MA Rogers, ...
Circulation research 131 (11), 873-889, 2022
302022
Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction
A Muscoloni, U Michieli, CV Cannistraci
arXiv preprint arXiv:1707.09496, 2017
292017
Coalescent embedding in the hyperbolic space unsupervisedly discloses the hidden geometry of the brain
A Cacciola, A Muscoloni, V Narula, A Calamuneri, S Nigro, EA Mayer, ...
arXiv preprint arXiv:1705.04192, 2017
272017
Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space
A Muscoloni, CV Cannistraci
arXiv preprint arXiv:1802.01183, 2018
232018
Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain?
V Narula, AG Zippo, A Muscoloni, GEM Biella, CV Cannistraci
Applied Network Science 2, 1-28, 2017
222017
Adaptive network automata modelling of complex networks
A Muscoloni, U Michieli, Y Zhang, CV Cannistraci
Preprints, 2022
192022
Rich-clubness test: how to determine whether a complex network has or doesn't have a rich-club?
A Muscoloni, CV Cannistraci
arXiv preprint arXiv:1704.03526, 2017
152017
Real-time tracking with an embedded 3D camera with FPGA processing
A Muscoloni, S Mattoccia
2014 international conference on 3d imaging (IC3D), 1-7, 2014
152014
Geometrical congruence, greedy navigability and myopic transfer in complex networks and brain connectomes
CV Cannistraci, A Muscoloni
Nature Communications 13 (1), 7308, 2022
132022
Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding
A Muscoloni, CV Cannistraci
arXiv preprint arXiv:1907.00025, 2019
122019
Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks
C Durán, A Muscoloni, CV Cannistraci
Applied Network Science 6 (1), 29, 2021
92021
Short note on comparing stacking modelling versus cannistraci-hebb adaptive network automata for link prediction in complex networks
A Muscoloni, CV Cannistraci
Preprints, 2021
72021
Coalescent embedding in the hyperbolic space unsupervisedly discloses the hidden geometry of the brain, 2017
A Cacciola, A Muscoloni, V Narula, A Calamuneri, S Nigro, EA Mayer, ...
arXiv preprint arXiv:1705.04192, 0
7
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