Carlo V. Cannistraci
Orcid: 0000-0003-0100-8410
According to our database1,
Carlo V. Cannistraci
authored at least 22 papers
between 2010 and 2022.
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Bibliography
2022
Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms.
IEEE Access, 2022
2021
Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks.
Appl. Netw. Sci., 2021
2020
CoRR, 2020
2019
Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms.
CoRR, 2019
Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding.
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 Bioinform., 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?
Appl. Netw. Sci., 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
2013
Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding.
Bioinform., 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.
Bioinform., 2010