Lorenzo Severini

27 papers A* 2B 3Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 B conf
UniAsk: AI-powered search for banking knowledge bases.
EDBT
Ilaria Bordino, Francesco Di Iorio, Andrea Galliani, Alessio Rosatelli, Lorenzo Severini
2024 — conf
General-Purpose Query Processing on Summary Graphs.
ASONAM (Workshops)
Aris Anagnostopoulos, Valentina Arrigoni, Francesco Gullo, Giorgia Salvatori, Lorenzo Severini
2024 J jnl
General-purpose query processing on summary graphs.
Soc. Netw. Anal. Min.
Aris Anagnostopoulos, Valentina Arrigoni, Francesco Gullo, Giorgia Salvatori, Lorenzo Severini
2024 — conf
Intelligent Algorithm Selection for Efficient Update Predictions in Social Media Feeds.
ASONAM (Workshops)
Max-Emanuel Keller, Alexander Döschl, Peter Mandl, Alexander Schill, Lorenzo Severini
2024 A* conf
Local Centrality Minimization with Quality Guarantees.
WWW
Atsushi Miyauchi, Lorenzo Severini, Francesco Bonchi
2024 J jnl
Local Centrality Minimization with Quality Guarantees.
CoRR
Atsushi Miyauchi, Lorenzo Severini, Francesco Bonchi
2023 — ed.
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
PKDD/ECML Workshops (1)
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 Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
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
PKDD/ECML Workshops (2)
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 Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2021 — ed.
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
PKDD/ECML Workshops (1)
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 Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
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
PKDD/ECML Workshops (2)
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 Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
Mining Data for Financial Applications - 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers
MIDAS@PKDD/ECML
Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini
2020 — conf
Better Fewer but Better: Community Search with Outliers.
WI/IAT
Francesco Bonchi, Lorenzo Severini, Mauro Sozio
2020 J jnl
Better Fewer but Better: Community Search with Outliers.
CoRR
Francesco Bonchi, Lorenzo Severini, Mauro Sozio
2019 A* conf
Coverage Centrality Maximization in Undirected Networks.
AAAI
Gianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini
2019 — conf
Distance-generalized Core Decomposition.
SIGMOD Conference
Francesco Bonchi, Arijit Khan, Lorenzo Severini
2019 J jnl
Distance-generalized Core Decomposition.
CoRR
Francesco Bonchi, Arijit Khan, Lorenzo Severini
2019 J jnl
Recommending links through influence maximization.
Theor. Comput. Sci.
Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj
2018 J jnl
Coverage Centrality Maximization in Undirected Networks.
CoRR
Gianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini
2018 J jnl
Improving the Betweenness Centrality of a Node by Adding Links.
ACM J. Exp. Algorithmics
Elisabetta Bergamini, Pierluigi Crescenzi, Gianlorenzo D'Angelo, Henning Meyerhenke, Lorenzo Severini, Yllka Velaj
2017 J jnl
Improving the betweenness centrality of a node by adding links.
CoRR
Elisabetta Bergamini, Pierluigi Crescenzi, Gianlorenzo D'Angelo, Henning Meyerhenke, Lorenzo Severini, Yllka Velaj
2017 J jnl
Recommending links through influence maximization.
CoRR
Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj
2017 B conf
Selecting Nodes and Buying Links to Maximize the Information Diffusion in a Network.
MFCS
Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj
2017 J jnl
Selecting nodes and buying links to maximize the information diffusion in a network.
CoRR
Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj
2016 J jnl
Greedily Improving Our Own Closeness Centrality in a Network.
ACM Trans. Knowl. Discov. Data
Pierluigi Crescenzi, Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj
2016 — conf
Influence Maximization in the Independent Cascade Model.
ICTCS
Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj
2015 B conf
Greedily Improving Our Own Centrality in A Network.
SEA
Pierluigi Crescenzi, Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj
2015 — conf
On the Maximum Betweenness Improvement Problem.
ICTCS
Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj