Carlo V. Cannistraci

According to our database1, Carlo V. Cannistraci authored at least 18 papers between 2010 and 2019.

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Bibliography

2019
Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms.
CoRR, 2019

Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity.
CoRR, 2019

Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding.
CoRR, 2019

Navigability evaluation of complex networks by greedy routing efficiency.
CoRR, 2019

2018
Latent Geometry Inspired Graph Dissimilarities Enhance Affinity Propagation Community Detection in Complex Networks.
CoRR, 2018

Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space.
CoRR, 2018

Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory.
Briefings in Bioinformatics, 2018

2017
Semi-supervised community detection based on non-negative matrix factorization with node popularity.
Inf. Sci., 2017

A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities.
CoRR, 2017

Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction.
CoRR, 2017

Rich-clubness test: how to determine whether a complex network has or doesn't have a rich-club?
CoRR, 2017

Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain?
Applied Network Science, 2017

2016
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space.
CoRR, 2016

2015
Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks.
CoRR, 2015

2014
A promoter-level mammalian expression atlas.
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Nature, 2014

2013
Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding.
Bioinformatics, 2013

Poster: Observing change in crowded data sets in 3D space - Visualizing gene expression in human tissues.
Proceedings of the IEEE Symposium on 3D User Interfaces, 2013

2010
Nonlinear dimension reduction and clustering by Minimum Curvilinearity unfold neuropathic pain and tissue embryological classes.
Bioinformatics, 2010


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