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Books and Theses
- 2019
[b1]Alessandro Muscoloni:
Generative modelling and inverse problem solving for networks in hyperbolic space. University of Dresden, Germany, 2019
Journal Articles
- 2021
- [j2]Claudio Durán
, Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks. Appl. Netw. Sci. 6(1): 29 (2021) - 2017
- [j1]Vaibhav Narula, Antonio Giuliano Zippo, Alessandro Muscoloni, Gabriele Eliseo M. Biella, Carlo Vittorio Cannistraci:
Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain? Appl. Netw. Sci. 2: 28 (2017)
Conference and Workshop Papers
- 2024
- [c2]Yingtao Zhang, Jialin Zhao, Wenjing Wu, Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning. ICLR 2024 - 2014
- [c1]Alessandro Muscoloni, Stefano Mattoccia:
Real-time tracking with an embedded 3D camera with FPGA processing. IC3D 2014: 1-7
Informal and Other Publications
- 2020
- [i10]Carlo Vittorio Cannistraci, Alessandro Muscoloni:
Geometrical congruence and efficient greedy navigability of complex networks. CoRR abs/2005.13255 (2020) - 2019
- [i9]Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Navigability evaluation of complex networks by greedy routing efficiency. CoRR abs/1901.07909 (2019) - [i8]Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding. CoRR abs/1907.00025 (2019) - [i7]Claudio Durán, Aldo Acevedo, Sara Ciucci, Alessandro Muscoloni, Carlo V. Cannistraci:
Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity. CoRR abs/1912.12211 (2019) - 2018
- [i6]Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space. CoRR abs/1802.01183 (2018) - [i5]Carlo Vittorio Cannistraci, Alessandro Muscoloni:
Latent Geometry Inspired Graph Dissimilarities Enhance Affinity Propagation Community Detection in Complex Networks. CoRR abs/1804.04566 (2018) - 2017
- [i4]Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Rich-clubness test: how to determine whether a complex network has or doesn't have a rich-club? CoRR abs/1704.03526 (2017) - [i3]Alessandro Muscoloni, Carlo Vittorio Cannistraci:
A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities. CoRR abs/1707.07325 (2017) - [i2]Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction. CoRR abs/1707.09496 (2017) - 2016
- [i1]Josephine Maria Thomas, Alessandro Muscoloni, Sara Ciucci, Ginestra Bianconi, Carlo Vittorio Cannistraci:
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space. CoRR abs/1602.06522 (2016)
Coauthor Index
aka: Carlo Vittorio Cannistraci
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