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Lorenzo Severini
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2020 – today
- 2024
- [j4]Aris Anagnostopoulos, Valentina Arrigoni, Francesco Gullo, Giorgia Salvatori, Lorenzo Severini:
General-purpose query processing on summary graphs. Soc. Netw. Anal. Min. 14(1): 157 (2024) - [c8]Atsushi Miyauchi, Lorenzo Severini, Francesco Bonchi:
Local Centrality Minimization with Quality Guarantees. WWW 2024: 410-421 - [i7]Atsushi Miyauchi, Lorenzo Severini, Francesco Bonchi:
Local Centrality Minimization with Quality Guarantees. CoRR abs/2402.07718 (2024) - 2023
- [e5]Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents] - [e4]Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents] - 2021
- [e3]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e2]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [e1]Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini:
Mining Data for Financial Applications - 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12591, Springer 2021, ISBN 978-3-030-66980-5 [contents] - 2020
- [c7]Francesco Bonchi, Lorenzo Severini, Mauro Sozio:
Better Fewer but Better: Community Search with Outliers. WI/IAT 2020: 105-112 - [i6]Francesco Bonchi, Lorenzo Severini, Mauro Sozio:
Better Fewer but Better: Community Search with Outliers. CoRR abs/2012.00356 (2020)
2010 – 2019
- 2019
- [j3]Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj:
Recommending links through influence maximization. Theor. Comput. Sci. 764: 30-41 (2019) - [c6]Gianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini:
Coverage Centrality Maximization in Undirected Networks. AAAI 2019: 501-508 - [c5]Francesco Bonchi, Arijit Khan, Lorenzo Severini:
Distance-generalized Core Decomposition. SIGMOD Conference 2019: 1006-1023 - [i5]Francesco Bonchi, Arijit Khan, Lorenzo Severini:
Distance-generalized Core Decomposition. CoRR abs/1904.07262 (2019) - 2018
- [j2]Elisabetta Bergamini, Pierluigi Crescenzi, Gianlorenzo D'Angelo, Henning Meyerhenke, Lorenzo Severini, Yllka Velaj:
Improving the Betweenness Centrality of a Node by Adding Links. ACM J. Exp. Algorithmics 23 (2018) - [i4]Gianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini:
Coverage Centrality Maximization in Undirected Networks. CoRR abs/1811.04331 (2018) - 2017
- [c4]Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj:
Selecting Nodes and Buying Links to Maximize the Information Diffusion in a Network. MFCS 2017: 75:1-75:14 - [i3]Elisabetta Bergamini, Pierluigi Crescenzi, Gianlorenzo D'Angelo, Henning Meyerhenke, Lorenzo Severini, Yllka Velaj:
Improving the betweenness centrality of a node by adding links. CoRR abs/1702.05284 (2017) - [i2]Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj:
Recommending links through influence maximization. CoRR abs/1706.04368 (2017) - [i1]Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj:
Selecting nodes and buying links to maximize the information diffusion in a network. CoRR abs/1706.06466 (2017) - 2016
- [j1]Pierluigi Crescenzi, Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj:
Greedily Improving Our Own Closeness Centrality in a Network. ACM Trans. Knowl. Discov. Data 11(1): 9:1-9:32 (2016) - [c3]Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj:
Influence Maximization in the Independent Cascade Model. ICTCS 2016: 269-274 - 2015
- [c2]Pierluigi Crescenzi, Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj:
Greedily Improving Our Own Centrality in A Network. SEA 2015: 43-55 - [c1]Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj:
On the Maximum Betweenness Improvement Problem. ICTCS 2015: 153-168
Coauthor Index
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last updated on 2024-10-12 22:57 CEST by the dblp team
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