Carlo Vittorio Cannistraci

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 19

Top Topics

Negative Matrix Factorization

Complex Networks

Community Detection

Dimension Reduction

Top Venues

Appl. Netw. Sci.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

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)
Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models. ICLR (2024)
Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks. CoRR (2024)
Aldo Acevedo, Claudio Durán, Ming-Ju Kuo, Sara Ciucci, Michael Schroeder, Carlo Vittorio Cannistraci
Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms. IEEE Access 10 (2022)
Claudio Durán, Alessandro Muscoloni, Carlo Vittorio Cannistraci
Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks. Appl. Netw. Sci. 6 (1) (2021)
Yan Ge, Philipp Rosendahl, Claudio Durán, Nicole Töpfner, Sara Ciucci, Jochen R. Guck, Carlo Vittorio Cannistraci
Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Yan Ge, Philipp Rosendahl, Claudio Durán, Nicole Töpfner, Sara Ciucci, Jochen R. Guck, Carlo Vittorio Cannistraci
Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers. CoRR (2020)
Carlo Vittorio Cannistraci, Alessandro Muscoloni
Geometrical congruence and efficient greedy navigability of complex networks. CoRR (2020)
Alessandro Muscoloni, Carlo Vittorio Cannistraci
Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding. CoRR (2019)
Alessandro Muscoloni, Carlo Vittorio Cannistraci
Navigability evaluation of complex networks by greedy routing efficiency. CoRR (2019)
Claudio Durán, Simone Daminelli, Josephine Maria Thomas, V. Joachim Haupt, Michael Schroeder, Carlo Vittorio Cannistraci
Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory. Briefings Bioinform. 19 (6) (2018)
Alessandro Muscoloni, Carlo Vittorio Cannistraci
Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space. CoRR (2018)
Carlo Vittorio Cannistraci, Alessandro Muscoloni
Latent Geometry Inspired Graph Dissimilarities Enhance Affinity Propagation Community Detection in Complex Networks. CoRR (2018)
Alessandro Muscoloni, Carlo Vittorio Cannistraci
Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction. CoRR (2017)
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 (2017)
Alessandro Muscoloni, Carlo Vittorio Cannistraci
A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities. CoRR (2017)
Alessandro Muscoloni, Carlo Vittorio Cannistraci
Rich-clubness test: how to determine whether a complex network has or doesn't have a rich-club? CoRR (2017)
Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci
Semi-supervised community detection based on non-negative matrix factorization with node popularity. Inf. Sci. 381 (2017)
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 (2016)
Simone Daminelli, Josephine Maria Thomas, Claudio Durán, Carlo Vittorio Cannistraci
Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks. CoRR (2015)
Marcin Rogowski, Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato, Philip P. Weber, Timothy Ravasi, Jürgen P. Schulze, Daniel Acevedo Feliz
Poster: Observing change in crowded data sets in 3D space - Visualizing gene expression in human tissues. 3DUI (2013)
Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato, Timothy Ravasi
Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding. Bioinform. 29 (13) (2013)
Carlo Vittorio Cannistraci, Timothy Ravasi, Franco Maria Montevecchi, Trey Ideker, Massimo Alessio
Nonlinear dimension reduction and clustering by Minimum Curvilinearity unfold neuropathic pain and tissue embryological classes. Bioinform. 26 (18) (2010)