Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks. - Simone Daminelli; Josephine Maria Thomas; Claudio Durán; Carlo Vittorio Cannistraci (CoRR, 2015)

Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory. - Claudio Durán; Simone Daminelli; Josephine Maria Thomas; V. Joachim Haupt; Michael Schroeder 001; Carlo Vittorio Cannistraci (Briefings Bioinform., 2018)

Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity. - Claudio Durán; Aldo Acevedo; Sara Ciucci; Alessandro Muscoloni; Carlo V. Cannistraci (CoRR, 2019)

Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms. - Aldo Acevedo; Sara Ciucci; Ming-Ju Kuo; Claudio Durán; Carlo V. Cannistraci (CoRR, 2019)

Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks. - Claudio Durán; Alessandro Muscoloni; Carlo Vittorio Cannistraci (Appl. Netw. Sci., 2021)

Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers. - Yan Ge; Philipp Rosendahl; Claudio Durán; Nicole Töpfner; Sara Ciucci; Jochen R. Guck; Carlo Vittorio Cannistraci (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms. - Aldo Acevedo; Claudio Durán; Ming-Ju Kuo; Sara Ciucci; Michael Schroeder 001; Carlo Vittorio Cannistraci (IEEE Access, 2022)