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ORCIDCarlo V. Cannistraci
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2020 – today
- 2024
[c3]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- [c2]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 - [i14]Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci:
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks. CoRR abs/2405.15481 (2024) - 2022
- [j9]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: 22441-22471 (2022) - 2021
- [j8]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) - [j7]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): 1405-1415 (2021) - 2020
- [i13]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 abs/2003.00009 (2020) - [i12]Carlo Vittorio Cannistraci, Alessandro Muscoloni:
Geometrical congruence and efficient greedy navigability of complex networks. CoRR abs/2005.13255 (2020)
2010 – 2019
- 2019
- [i11]Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Navigability evaluation of complex networks by greedy routing efficiency. CoRR abs/1901.07909 (2019) - [i10]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) - [i9]Claudio Durán, Aldo Acevedo, Sara Ciucci, Alessandro Muscoloni, Carlo V. Cannistraci:
Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity. CoRR abs/1912.12211 (2019) - [i8]Aldo Acevedo, Sara Ciucci, Ming-Ju Kuo, Claudio Durán, Carlo V. Cannistraci:
Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms. CoRR abs/1912.12418 (2019) - 2018
- [j6]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): 1183-1202 (2018) - [i7]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) - [i6]Carlo Vittorio Cannistraci, Alessandro Muscoloni:
Latent Geometry Inspired Graph Dissimilarities Enhance Affinity Propagation Community Detection in Complex Networks. CoRR abs/1804.04566 (2018) - 2017
- [j5]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) - [j4]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: 304-321 (2017) - [i5]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) - [i4]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) - [i3]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
- [i2]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) - 2015
- [i1]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 abs/1504.07011 (2015) - 2014
- [j3]The Fantom Consortium, RIKEN PMII, RIKEN CLST (DGT), Alistair R. R. Forrest, Hideya Kawaji, Michael Rehli, J. Kenneth Baillie, Michiel J. L. de Hoon, Vanja Haberle, Timo Lassmann, Ivan V. Kulakovskiy, Marina Lizio, Masayoshi Itoh, Robin Andersson, Christopher J. Mungall, Terrence F. Meehan, Sebastian Schmeier, Nicolas Bertin, Mette Jørgensen, Emmanuel Dimont, Erik Arner, Christian Schmidl, Ulf Schaefer, Yulia A. Medvedeva, Charles Plessy, Morana Vitezic, Jessica Severin, Colin A. M. Semple, Yuri Ishizu, Robert S. Young, Margherita Francescatto, Intikhab Alam, Davide Albanese, Gabriel M. Altschuler, Takahiro Arakawa, John A. C. Archer, Peter Arner, Magda Babina, Sarah Rennie, Piotr J. Balwierz, Anthony G. Beckhouse, Swati Pradhan-Bhatt, Judith A. Blake, Antje Blumenthal, Beatrice Bodega, Alessandro Bonetti, James Briggs, Frank Brombacher, A. Maxwell Burroughs, Andrea Califano, Carlo V. Cannistraci, Daniel Carbajo, Yun Chen, Marco Chierici, Yari Ciani, Hans Clevers, Emiliano Dalla, Carrie A. Davis, Michael Detmar, Alexander D. Diehl, Taeko Dohi, Finn Drabløs, Albert S. B. Edge, Matthias Edinger, Karl Ekwall, Mitsuhiro Endoh, Hideki Enomoto, Michela Fagiolini, Lynsey Fairbairn, Hai Fang, Mary C. Farach-Carson, Geoffrey J. Faulkner, Alexander V. Favorov, Malcolm E. Fisher, Martin C. Frith, Rie Fujita, Shiro Fukuda, Cesare Furlanello, Masaaki Furuno, Jun-ichi Furusawa, Teunis B. Geijtenbeek, Andrew P. Gibson, Thomas R. Gingeras, Daniel Goldowitz, Julian Gough, Sven Guhl, Reto Guler, Stefano Gustincich, Thomas J. Ha, Masahide Hamaguchi, Mitsuko Hara, Matthias Harbers, Jayson Harshbarger, Akira Hasegawa, Yuki Hasegawa, Takehiro Hashimoto, Meenhard Herlyn, Kelly J. Hitchens, Shannan J. Ho Sui, Oliver M. Hofmann, Ilka Hoof, Fumi Hori, Lukasz Huminiecki, Kei Iida, Tomokatsu Ikawa, Boris R. Jankovic, Hui Jia, Anagha Joshi, Giuseppe Jurman, Bogumil Kaczkowski, Chieko Kai, Kaoru Kaida, Ai Kaiho, Kazuhiro Kajiyama, Mutsumi Kanamori-Katayama, Artem S. Kasianov, Takeya Kasukawa, Shintaro Katayama, Sachi Kato, Shuji Kawaguchi, Hiroshi Kawamoto, Yuki I. Kawamura, Tsugumi Kawashima, Judith S. Kempfle, Tony J. Kenna, Juha Kere, Levon M. Khachigian, Toshio Kitamura, S. Peter Klinken, Alan J. Knox, Miki Kojima, Soichi Kojima, Naoto Kondo, Haruhiko Koseki, Shigeo Koyasu, Sarah Krampitz, Atsutaka Kubosaki, Andrew T. Kwon, Jeroen F. J. Laros, Weonju Lee, Andreas Lennartsson, Kang Li, Berit Lilje, Leonard Lipovich, Alan Mackay-Sim, Ri-ichiroh Manabe, Jessica Cara Mar, Benoit Marchand, Anthony Mathelier, Niklas Mejhert, Alison M. Meynert, Yosuke Mizuno, David A. de Lima Morais, Hiromasa Morikawa, Mitsuru Morimoto, Kazuyo Moro, Efthymios Motakis, Hozumi Motohashi, Christine Mummery, Mitsuyoshi Murata, Sayaka Nagao-Sato, Yutaka Nakachi, Fumio Nakahara, Toshiyuki Nakamura, Yukio Nakamura, Kenichi Nakazato, Erik van Nimwegen, Noriko Ninomiya, Hiromi Nishiyori, Shohei Noma, Tadasuke Nozaki, Soichi Ogishima, Naganari Ohkura, Hiroko Ohmiya, Hiroshi Ohno, Mitsuhiro Ohshima, Mariko Okada-Hatakeyama, Yasushi Okazaki, Valerio Orlando, Dmitry A. Ovchinnikov, Arnab Pain, Robert Passier, Margaret Patrikakis, Helena Persson, Silvano Piazza, James G. D. Prendergast, Owen J. L. Rackham, Jordan A. Ramilowski, Mamoon Rashid, Timothy Ravasi, Patrizia Rizzu, Marco Roncador, Sugata Roy, Morten B. Rye, Eri Saijyo, Antti Sajantila, Akiko Saka, Shimon Sakaguchi, Mizuho Sakai, Hiroki Sato, Hironori Sato, Suzana Savvi, Alka Saxena, Claudio Schneider, Erik A. Schultes, Gundula G. Schulze-Tanzil, Anita Schwegmann, Thierry Sengstag, Guojun Sheng, Hisashi Shimoji, Yishai Shimoni, Jay W. Shin, Christophe Simon, Daisuke Sugiyama, Takaaki Sugiyama, Masanori Suzuki, Naoko Suzuki, Rolf K. Swoboda, Peter A. C. 't Hoen, Michihira Tagami, Naoko Takahashi, Jun Takai, Hiroshi Tanaka, Hideki Tatsukawa, Zuotian Tatum, Mark Thompson, Hiroo Toyoda, Tetsuro Toyoda, Eivind Valen, Marc van de Wetering, Linda M. van den Berg, Roberto Verardo, Dipti Vijayan, Ilya E. Vorontsov, Wyeth W. Wasserman, Shoko Watanabe, Christine A. Wells, Louise N. Winteringham, Ernst Wolvetang, Emily J. Wood, Yoko Yamaguchi, Masayuki Yamamoto, Misako Yoneda, Yohei Yonekura, Shigehiro Yoshida, Susan E. Zabierowski, Peter G. Zhang, Xiaobei Zhao, Silvia Zucchelli, Kim M. Summers, Harukazu Suzuki, Carsten O. Daub, Jun Kawai, Peter Heutink, Winston Hide, Tom C. Freeman, Boris Lenhard, Vladimir B. Bajic, Martin S. Taylor, Vsevolod J. Makeev, Albin Sandelin, David A. Hume, Piero Carninci, Yoshihide Hayashizaki:
A promoter-level mammalian expression atlas. Nat. 507(7493): 462-470 (2014) - 2013
- [j2]Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato, Timothy Ravasi:
Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding. Bioinform. 29(13): 199-209 (2013) - [c1]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: 173-174 - 2010
- [j1]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)
Coauthor Index
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