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Francesco Gullo

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affiliation: UniCredit, Rome, Italy

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2022
[b1]
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Francesco Bonchi, David García-Soriano, Francesco Gullo:
Correlation Clustering. Synthesis Lectures on Data Mining and Knowledge Discovery, Springer 2022, ISBN 978-3-031-79198-7, pp. 1-133

Journal Articles

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2024
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Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli:
Neural discovery of balance-aware polarized communities. Mach. Learn. 113(9): 6611-6644 (2024)
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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)
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Oana Balalau, Francesco Bonchi, T.-H. Hubert Chan, Francesco Gullo, Mauro Sozio, Hao Xie:
Finding Subgraphs with Maximum Total Density and Limited Overlap in Weighted Hypergraphs. ACM Trans. Knowl. Discov. Data 18(4): 95:1-95:21 (2024)
2023
[j23]
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Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli:
A combinatorial multi-armed bandit approach to correlation clustering. Data Min. Knowl. Discov. 37(4): 1630-1691 (2023)
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Janet Layne, Justin Carpenter, Edoardo Serra, Francesco Gullo:
Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs. Proc. VLDB Endow. 16(9): 2075-2089 (2023)
2021
[j21]
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Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti:
GarNLP: A Natural Language Processing Pipeline for Garnishment Documents. Inf. Syst. Frontiers 23(1): 101-114 (2021)
[j20]
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Edoardo Galimberti, Martino Ciaperoni, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Span-core Decomposition for Temporal Networks: Algorithms and Applications. ACM Trans. Knowl. Discov. Data 15(1): 2:1-2:44 (2021)
[j19]
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Ilaria Bordino, Francesco Gullo, Giacomo Legnaro:
Advancing Receivable Financing via a Network-Based Approach. IEEE Trans. Netw. Sci. Eng. 8(2): 1328-1337 (2021)
2020
[j18]
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Edoardo Galimberti, Francesco Bonchi, Francesco Gullo, Tommaso Lanciano:
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications. ACM Trans. Knowl. Discov. Data 14(1): 11:1-11:40 (2020)
2019
[j17]
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Francesco Bonchi, Ilaria Bordino, Francesco Gullo, Giovanni Stilo:
The importance of unexpectedness: Discovering buzzing stories in anomalous temporal graphs. Web Intell. 17(3): 177-198 (2019)
2018
[j16]
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Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer:
Conditional Reliability in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 30(11): 2078-2092 (2018)
2017
[j15]
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Andrea Tagarelli, Alessia Amelio, Francesco Gullo:
Ensemble-based community detection in multilayer networks. Data Min. Knowl. Discov. 31(5): 1506-1543 (2017)
[j14]
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Xiao Bai, Berkant Barla Cambazoglu, Francesco Gullo, Amin Mantrach, Fabrizio Silvestri:
Exploiting search history of users for news personalization. Inf. Sci. 385: 125-137 (2017)
[j13]
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Sergio Greco:
An information-theoretic approach to hierarchical clustering of uncertain data. Inf. Sci. 402: 199-215 (2017)
2016
[j12]
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Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek:
MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report]. SIGKDD Explor. 18(1): 35-38 (2016)
2015
[j11]
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Nicola Barbieri, Francesco Bonchi, Edoardo Galimberti, Francesco Gullo:
Efficient and effective community search. Data Min. Knowl. Discov. 29(5): 1406-1433 (2015)
[j10]
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Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
Metacluster-based Projective Clustering Ensembles. Mach. Learn. 98(1-2): 181-216 (2015)
[j9]
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Francesco Bonchi, Aristides Gionis, Francesco Gullo, Charalampos E. Tsourakakis, Antti Ukkonen:
Chromatic Correlation Clustering. ACM Trans. Knowl. Discov. Data 9(4): 34:1-34:24 (2015)
[j8]
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Panos Parchas, Francesco Gullo, Dimitris Papadias, Francesco Bonchi:
Uncertain Graph Processing through Representative Instances. ACM Trans. Database Syst. 40(3): 20:1-20:39 (2015)
2013
[j7]
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Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
Projective clustering ensembles. Data Min. Knowl. Discov. 26(3): 452-511 (2013)
[j6]
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli:
Minimizing the variance of cluster mixture models for clustering uncertain objects. Stat. Anal. Data Min. 6(2): 116-135 (2013)
2012
[j5]
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Giuseppe Tradigo, Pierangelo Veltri:
A time series approach for clustering mass spectrometry data. J. Comput. Sci. 3(5): 344-355 (2012)
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Francesco Gullo, Andrea Tagarelli:
Uncertain Centroid based Partitional Clustering of Uncertain Data. Proc. VLDB Endow. 5(7): 610-621 (2012)
2011
[j3]
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Sergio Greco, Francesco Gullo, Giovanni Ponti, Andrea Tagarelli:
Collaborative clustering of XML documents. J. Comput. Syst. Sci. 77(6): 988-1008 (2011)
2009
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Giuseppe Tradigo, Pierangelo Veltri:
MaSDA: A system for analyzing mass spectrometry data. Comput. Methods Programs Biomed. 95(2-S1): 12-21 (2009)
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Sergio Greco:
A time series representation model for accurate and fast similarity detection. Pattern Recognit. 42(11): 2998-3014 (2009)

Conference and Workshop Papers

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2024
[c52]
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Stefania Costantini, Pierangelo Dell'Acqua, Giovanni De Gasperis, Francesco Gullo, Andrea Rafanelli:
NEMO - A Neural, Emotional Architecture for Human-AI Teaming. CILC 2024
[c51]
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Stefania Costantini, Pierangelo Dell'Acqua, Giovanni De Gasperis, Francesco Gullo, Andrea Rafanelli:
The NEMO co-pilot. Ital-IA 2024: 124-128
[c50]
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Maximilian K. Egger, Wenyue Ma, Davide Mottin, Panagiotis Karras, Ilaria Bordino, Francesco Gullo, Aris Anagnostopoulos:
ReliK: A Reliability Measure for Knowledge Graph Embeddings. SEBD 2024: 80-90
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Maximilian K. Egger, Wenyue Ma, Davide Mottin, Panagiotis Karras, Ilaria Bordino, Francesco Gullo, Aris Anagnostopoulos:
ReliK: A Reliability Measure for Knowledge Graph Embeddings. WWW 2024: 2009-2019
2022
[c48]
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Francesco Gullo, Lucio La Cava, Domenico Mandaglio, Andrea Tagarelli:
When Correlation Clustering Meets Fairness Constraints. DS 2022: 302-317
[c47]
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Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo:
Correlation Clustering: from Local to Global Constraints. SEBD 2022: 445-452
2021
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Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo:
Correlation Clustering with Global Weight Bounds. ECML/PKDD (2) 2021: 499-515
2020
[c45]
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Xiao Bai, Berkant Barla Cambazoglu, Francesco Gullo, Amin Mantrach, Fabrizio Silvestri:
Improving News Personalization Through Search Logs. BIAS 2020: 152-166
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Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo:
In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints. KDD 2020: 1371-1381
2018
[c43]
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Edoardo Galimberti, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Mining (maximal) Span-cores from Temporal Networks. CIKM 2018: 107-116
[c42]
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Francesco Bonchi, Francesco Gullo, Bud Mishra, Daniele Ramazzotti:
Probabilistic Causal Analysis of Social Influence. CIKM 2018: 1003-1012
[c41]
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Ilaria Bordino, Francesco Gullo:
Network-based Receivable Financing. CIKM 2018: 2137-2145
2017
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Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem. CIKM 2017: 879-888
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Edoardo Galimberti, Francesco Bonchi, Francesco Gullo:
Core Decomposition and Densest Subgraph in Multilayer Networks. CIKM 2017: 1807-1816
[c38]
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Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli:
The Projective Clustering Ensemble Problem for Advanced Data Clustering. SEBD 2017: 194
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Cristiano Di Crescenzo, Giulia Gavazzi, Giacomo Legnaro, Elena Troccoli, Ilaria Bordino, Francesco Gullo:
HERMEVENT: a news collection for emerging-event detection. WIMS 2017: 11:1-11:10
2016
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli:
Handling Uncertainty in Clustering Art-Exhibition Visiting Styles. BDTA 2016: 54-63
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Ilaria Bordino, Andrea Ferretti, Marco Firrincieli, Francesco Gullo, Marcello Paris, Stefano Pascolutti, Gianluca Sabena:
Advancing NLP via a distributed-messaging approach. IEEE BigData 2016: 1561-1568
[c34]
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Ana Freire, Matteo Manca, Diego Sáez-Trumper, David Laniado, Ilaria Bordino, Francesco Gullo, Andreas Kaltenbrunner:
Graph-Based Breaking News Detection on Wikipedia. Wiki@ICWSM 2016
[c33]
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Ilaria Bordino, Andrea Ferretti, Marco Firrincieli, Francesco Gullo, Marcello Paris, Gianluca Sabena:
Hermes: A Distributed-Messaging Tool for NLP. MOD 2016: 402-406
[c32]
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Francesco Bonchi, Ilaria Bordino, Francesco Gullo, Giovanni Stilo:
Identifying Buzzing Stories via Anomalous Temporal Subgraph Discovery. WI 2016: 161-168
2015
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Hossein Vahabi, Iordanis Koutsopoulos, Francesco Gullo, Maria Halkidi:
DifRec: A Social-Diffusion-Aware Recommender System. CIKM 2015: 1481-1490
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Arijit Khan, Francesco Gullo, Thomas Wohler, Francesco Bonchi:
Top-k Reliable Edge Colors in Uncertain Graphs. CIKM 2015: 1851-1854
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Davide Mottin, Francesco Bonchi, Francesco Gullo:
Graph Query Reformulation with Diversity. KDD 2015: 825-834
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Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
The Minimum Wiener Connector Problem. SIGMOD Conference 2015: 1587-1602
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Oana Denisa Balalau, Francesco Bonchi, T.-H. Hubert Chan, Francesco Gullo, Mauro Sozio:
Finding Subgraphs with Maximum Total Density and Limited Overlap. WSDM 2015: 379-388
2014
[c26]
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Arijit Khan, Francesco Bonchi, Aristides Gionis, Francesco Gullo:
Fast Reliability Search in Uncertain Graphs. EDBT 2014: 535-546
[c25]
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Francesco Bonchi, Aristides Gionis, Francesco Gullo, Antti Ukkonen:
Distance oracles in edge-labeled graphs. EDBT 2014: 547-558
[c24]
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Francesco Bonchi, Francesco Gullo, Andreas Kaltenbrunner, Yana Volkovich:
Core decomposition of uncertain graphs. KDD 2014: 1316-1325
[c23]
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli:
Be Certain of How-to before Mining Uncertain Data. ECML/PKDD (3) 2014: 489-493
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Panos Parchas, Francesco Gullo, Dimitris Papadias, Francesco Bonchi:
The pursuit of a good possible world: extracting representative instances of uncertain graphs. SIGMOD Conference 2014: 967-978
2013
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Lucrezia Macchia, Francesco Bonchi, Francesco Gullo, Luca Chiarandini:
Mining Summaries of Propagations. ICDM 2013: 498-507
[c20]
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Salvatore Romeo, Andrea Tagarelli, Francesco Gullo, Sergio Greco:
A Tensor-based Clustering Approach for Multiple Document Classifications. ICPRAM 2013: 200-205
[c19]
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Charalampos E. Tsourakakis, Francesco Bonchi, Aristides Gionis, Francesco Gullo, Maria A. Tsiarli:
Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees. KDD 2013: 104-112
2012
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Francesco Gullo, A. K. M. Khaled Ahsan Talukder, Sean Luke, Carlotta Domeniconi, Andrea Tagarelli:
Multiobjective optimization of co-clustering ensembles. GECCO (Companion) 2012: 1495-1496
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Francesco Bonchi, Aristides Gionis, Francesco Gullo, Antti Ukkonen:
Chromatic correlation clustering. KDD 2012: 1321-1329
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Andrea Tagarelli, Francesco Gullo:
Evaluating PageRank methods for structural sense ranking in labeled tree data. WIMS 2012: 36:1-36:12
2011
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Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
Advancing data clustering via projective clustering ensembles. SIGMOD Conference 2011: 733-744
2010
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Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
Enhancing Single-Objective Projective Clustering Ensembles. ICDM 2010: 833-838
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli:
Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain Objects. ICDM 2010: 839-844
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Sergio Greco, Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Giuseppe Agapito:
Clustering XML Documents: a Distributed Collaborative Approach (Extended Abstract). SEBD 2010: 406-413
2009
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Giuseppe Tradigo, Pierangelo Veltri:
Hierarchical clustering of microarray data with probe-level uncertainty. CBMS 2009: 1-6
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Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
Projective Clustering Ensembles. ICDM 2009: 794-799
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Sergio Greco, Francesco Gullo, Giovanni Ponti, Andrea Tagarelli:
Collaborative Clustering of XML Documents. ICPP Workshops 2009: 579-586
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Salvatore liritano, Massimiliano Ruffolo, Diego Labate:
Low-voltage electricity customer profiling based on load data clustering. IDEAS 2009: 330-333
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Francesco Gullo, Andrea Tagarelli, Sergio Greco:
Diversity-Based Weighting Schemes for Clustering Ensembles. SDM 2009: 437-448
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Sergio Greco:
Information-Theoretic Hierarchical Clustering of Uncertain Data. SEBD 2009: 273-280
2008
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Giuseppe Tradigo, Pierangelo Veltri:
MSPtool: A Versatile Tool for Mass Spectrometry Data Preprocessing. CBMS 2008: 209-214
[c4]
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Sergio Greco:
A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach. ICDM 2008: 821-826
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli:
Clustering Uncertain Data Via K-Medoids. SUM 2008: 229-242
2007
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Giuseppe Tradigo, Pierangelo Veltri:
A Time Series Based Approach for Classifying Mass Spectrometry Data. CBMS 2007: 412-420
[c1]
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Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Sergio Greco:
Accurate and Fast Similarity Detection in Time Series. SEBD 2007: 172-183

Editorship

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2023
[e11]
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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]
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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
[e9]
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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]
[e8]
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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]
[e7]
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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
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Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti:
Mining Data for Financial Applications - 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11985, Springer 2020, ISBN 978-3-030-37719-9 [contents]
2019
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Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Céline Robardet, Tiziano Squartini:
ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11054, Springer 2019, ISBN 978-3-030-13462-4 [contents]
2017
[e4]
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Ilaria Bordino, Guido Caldarelli, Fabio Fumarola, Francesco Gullo, Tiziano Squartini:
Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18, 2017. CEUR Workshop Proceedings 1941, CEUR-WS.org 2017 [contents]
2016
[e3]
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Carlotta Domeniconi, Francesco Gullo, Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu:
IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain. IEEE Computer Society 2016 [contents]
[e2]
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Ilaria Bordino, Guido Caldarelli, Fabio Fumarola, Francesco Gullo, Tiziano Squartini:
Proceedings of the First Workshop on MIning DAta for financial applicationS (MIDAS 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016), Riva del Garda, Italy, September 19-23, 2016. CEUR Workshop Proceedings 1774, CEUR-WS.org 2016 [contents]
2013
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Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek:
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering, in conjunction with KDD 2013, Chicago, IL, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2334-5 [contents]

Reference Works

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2018
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Francesco Bonchi, Francesco Gullo, Andreas Kaltenbrunner:
Core Decomposition of Massive, Information-Rich Graphs. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018

Informal and Other Publications

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2024
[i10]
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Maximilian K. Egger, Wenyue Ma, Davide Mottin, Panagiotis Karras, Ilaria Bordino, Francesco Gullo, Aris Anagnostopoulos:
ReliK: A Reliability Measure for Knowledge Graph Embeddings. CoRR abs/2404.16572 (2024)
2020
[i9]
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  - journals/corr/abs-2006-13738
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Ilaria Bordino, Francesco Gullo, Giacomo Legnaro:
The Power of Connection: Leveraging Network Analysis to Advance Receivable Financing. CoRR abs/2006.13738 (2020)
2019
[i8]
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Edoardo Galimberti, Martino Ciaperoni, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Span-core Decomposition for Temporal Networks: Algorithms and Applications. CoRR abs/1910.03645 (2019)
2018
[i7]
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  - journals/corr/abs-1808-02129
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Francesco Bonchi, Francesco Gullo, Bud Mishra, Daniele Ramazzotti:
Probabilistic Causal Analysis of Social Influence. CoRR abs/1808.02129 (2018)
[i6]
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Edoardo Galimberti, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Mining (maximal) span-cores from temporal networks. CoRR abs/1808.09376 (2018)
[i5]
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Edoardo Galimberti, Francesco Bonchi, Francesco Gullo, Tommaso Lanciano:
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications. CoRR abs/1812.08712 (2018)
2017
[i4]
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  - journals/corr/abs-1709-01123
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Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem. CoRR abs/1709.01123 (2017)
2016
[i3]
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  persistent URL:
  - https://dblp.org/rec/journals/corr/KhanBGN16
Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer:
Conditional Reliability in Uncertain Graphs. CoRR abs/1608.04474 (2016)
2015
[i2]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/RuchanskyBGGK15
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  persistent URL:
  - https://dblp.org/rec/journals/corr/RuchanskyBGGK15
Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
The Minimum Wiener Connector. CoRR abs/1504.00513 (2015)
2012
[i1]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1203-6401
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1203-6401
Francesco Gullo, Andrea Tagarelli:
Uncertain Centroid based Partitional Clustering of Uncertain Data. CoRR abs/1203.6401 (2012)

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