Publications
Look also at my DBLP page (thanks to Michael Lay)
Copyright of every publication is held by the corresponding publisher. PDFs are provided for personal use only.
International journals
F. Gullo, D. Mandaglio, A. Tagarelli
A Combinatorial Multi-Armed Bandit Approach to Correlation Clustering
Data Mining and Knowledge Discovery (DAMI), 37(4): 1630-1691, 2023
[pdf] [code&data]J. Layne, J. Carpenter, E. Serra, F. Gullo
Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs
Proceedings of the VLDB Endowment (PVLDB), 16(9):2075-2089, 2023
[pdf] [code&data]E. Galimberti, M. Ciaperoni, A. Barrat, F. Bonchi, C. Cattuto, F. Gullo.
Span-core Decomposition for Temporal Networks: Algorithms and Applications
ACM Transactions on Knowledge Discovery from Data (TKDD), 15(1):2:1-2:44, 2021
[pdf] [code&data]I. Bordino, F. Gullo, G. Legnaro
Advancing Receivable Financing via a Network-based Approach
IEEE Transactions on Network Science and Engineering (TNSE), 8(2):1328-1337, 2021
[pdf] [extended]I. Bordino, A. Ferretti, F. Gullo, S. Pascolutti
GarNLP: A Natural Language Processing Pipeline for Garnishment Documents
Information Systems Frontiers (ISFI), 23(1):101-114, 2021
[pdf] [poster]M. Ciaperoni, E. Galimberti, F. Bonchi, C. Cattuto, F. Gullo, A. Barrat
Relevance of temporal cores for epidemic spread in temporal networks
Scientific Reports (SciRep), 10, Article number: 12529, 2020
[pdf]E. Galimberti, F. Bonchi, F. Gullo, T. Lanciano
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications
ACM Transactions on Knowledge Discovery from Data (TKDD), 14(1):11:1-11:40, 2020
[pdf] [code&data]F. Bonchi, I. Bordino, F. Gullo, G. Stilo
The Importance of Unexpectedness: Discovering Buzzing Stories in Anomalous Temporal Graphs
Web Intelligence (WI), 17(3):177-198, 2019
[pdf]A. Khan, F. Bonchi, F. Gullo, A. Nufer
Conditional Reliability in Uncertain Graphs
IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(11):2078-2092, 2018
[pdf] [data]A. Tagarelli, A. Amelio, F. Gullo
Ensemble-based Community Detection in Multilayer Networks
Data Mining and Knowledge Discovery (DAMI), 31(5):1506-1543, 2017
[pdf] [slides] [code&data]F. Gullo, G. Ponti, A. Tagarelli, S. Greco
An Information-Theoretic Approach to Hierarchical Clustering of Uncertain Data
Information Sciences (INS), 402:199-215, 2017
[pdf] [code]X. Bai, B. Barla Cambazoglu, F. Gullo, A. Mantrach, F. Silvestri
Exploiting Search History of Users for News Personalization
Information Sciences (INS), 385- 386:125-137, 2017
[pdf]I. Assent, C. Domeniconi, F. Gullo, A. Tagarelli, A. Zimek
MultiClust 2013: Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering
SIGKDD Explorations, 18(1):35-38, 2016
[pdf]P. Parchas, F. Gullo, D. Papadias, F. Bonchi
Uncertain Graph Processing through Representative Instances
ACM Transactions on Database Systems (TODS), 40(3):20:1-20:39, 2015
[pdf]N. Barbieri, F. Bonchi, E. Galimberti, F. Gullo
Efficient and Effective Community Search
Data Mining and Knowledge Discovery (DAMI), 29(5):1406-1433, 2015
[pdf] [slides] [code]F. Bonchi, A. Gionis, F. Gullo, C. Tsourakakis, A. Ukkonen
Chromatic Correlation Clustering
ACM Transactions on Knowledge Discovery from Data (TKDD), 9(4):34:1-34:24, 2015
[pdf]F. Gullo
From Patterns in Data to Knowledge Discovery: What Data Mining Can Do
Physics Procedia, 62:18-22, 2015
[pdf]F. Gullo, C. Domeniconi, A. Tagarelli
Metacluster-based Projective Clustering Ensembles
Machine Learning (MACH), 98(1-2):181-216, 2015
[pdf] [code&data]F. Gullo, G. Ponti, A. Tagarelli
Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain Objects
Statistical Analysis and Data Mining (SAM), 6(2):116-135, 2013
[pdf]F. Gullo, C. Domeniconi, A. Tagarelli
Projective Clustering Ensembles
Data Mining and Knowledge Discovery (DAMI), 26(3):452-511, 2013
[pdf] [code&data]F. Gullo, A. Tagarelli
Uncertain Centroid based Partitional Clustering of Uncertain Data
Proceedings of the VLDB Endowment (PVLDB), 5(7):610-621, 2012
[pdf] [slides] [code] [BC label]F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri
A Time Series Approach for Clustering Mass Spectrometry Data
Journal of Computational Science (JOCS), 3(5):344-355, 2012
[pdf]S. Greco, F. Gullo, G. Ponti, A. Tagarelli
Collaborative Clustering of XML Documents
Journal of Computer and System Sciences (JCSS), 77(6):988-1008, 2011
[pdf]F. Gullo, G. Ponti, A. Tagarelli, S. Greco
A Time Series Representation Model for Accurate and Fast Similarity Detection
Pattern Recognition (PR), 42(11):2998-3014, 2009
[pdf]F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri
MaSDA: A System for Analyzing Mass Spectrometry Data
Computer Methods and Programs in Biomedicine (CMPB), 95(2 suppl.):S12-S21, 2009
[pdf]International conferences (selected)
D. Mandaglio, A. Tagarelli, F. Gullo
Correlation Clustering with Global Weight Bounds
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD ‘21), pp. 1371-1381. Bilbao, Spain, September 13-17, 2021
[pdf] [slides] [poster] [code&data]D. Mandaglio, A. Tagarelli, F. Gullo
In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ‘20), pp. 1371-1381. San Diego, CA – USA, August 23-27, 2020
[pdf] [slides] [code&data]E. Galimberti, A. Barrat, F. Bonchi, C. Cattuto, F. Gullo
Mining (maximal) Span-cores from Temporal Networks
In Proceedings of the ACM International Conference on Knowledge and Information Management (CIKM ‘18), pp. 107-116. Turin, Italy, October 22-26, 2018
[pdf] [slides] [code&data]F. Bonchi, F. Gullo, B. Mishra, D. Ramazzotti
Probabilistic Causal Analysis of Social Influence
In Proceedings of the ACM International Conference on Knowledge and Information Management (CIKM ‘18), pp. 1003-1012. Turin, Italy, October 22-26, 2018
[pdf] [slides] [code&data]I. Bordino, F. Gullo
Network-based Receivable Financing
In Proceedings of the ACM International Conference on Knowledge and Information Management (CIKM ‘18), pp. 2137-2145. Turin, Italy, October 22-26, 2018
[pdf] [slides]E. Galimberti, F. Bonchi, F. Gullo
Core Decomposition and Densest Subgraph in Multilayer Networks
In Proceedings of the ACM International Conference on Knowledge and Information Management (CIKM ‘17), pp. 1807-1816. Singapore, November 6-10, 2017
[pdf] [slides] [code&data]N. Ruchansky, F. Bonchi, D. Garcia Soriano, F. Gullo, N. Kourtellis
To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem
In Proceedings of the ACM International Conference on Knowledge and Information Management (CIKM ‘17), pp. 879-888. Singapore, November 6-10, 2017
[pdf] [slides]I. Bordino, A. Ferretti, M. Firrincieli, F. Gullo, M. Paris, S. Pascolutti, G. Sabena
Advancing NLP via a distributed-messaging approach
In Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData ‘16), pp. 1561-1568. Washington D.C., USA, December 5-8, 2016
[pdf] [slides]H. Vahabi, I. Koutsopoulos, F. Gullo, M. Halkidi
DifRec: a Social-Diffusion-aware Recommender System
In Proceedings of the ACM International Conference on Knowledge and Information Management (CIKM ‘15), pp. 1481-1490. Melbourne, Australia, October 19-23, 2015
[pdf]A. Khan, F. Gullo, T. Wohler, F. Bonchi
Top-k Reliable Edge Colors in Uncertain Graphs
In Proceedings of the ACM International Conference on Knowledge and Information Management (CIKM ‘15), pp. 1851-1854. Melbourne, Australia, October 19-23, 2015
[pdf]D. Mottin, F. Bonchi, F. Gullo
Graph Query Reformulation with Diversity
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ‘15), pp. 825-834. Sydney, Australia, August 10-13, 2015
[pdf] [slides] [poster] [code&data]N. Ruchansky, F. Bonchi, D. Garcia Soriano, F. Gullo, N. Kourtellis
The Minimum Wiener Connector Problem
In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD ‘15), pp. 1587-1602. Melbourne, Victoria, Australia, May 31-June 14, 2015
[pdf] [slides] [Wikipedia]O. Balalau, F. Bonchi, T-H. Hubert Chan, F. Gullo, M. Sozio
Finding Subgraphs with Maximum Total Density and Limited Overlap
In Proceedings of the International Conference on Web Search and Data Mining (WSDM ‘15), pp. 379- 388. Shanghai, China, February 2-6, 2015
[pdf] [slides] [code]F. Gullo, G. Ponti, A. Tagarelli
Be certain of how-to before mining uncertain data
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD ‘14) (Nectar Track), pp. 489-493. Nancy, France, September 15-19, 2014
[pdf] [slides] [code]F. Bonchi, F. Gullo, A. Kaltenbrunner, Y. Volkovich
Core Decomposition of Uncertain Graphs
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ‘14), pp. 1316-1325. New York City, New York (USA), August 24-27, 2014
[pdf] [slides] [poster] [code&data]P. Parchas, F. Gullo, D. Papadias, F. Bonchi
The Pursuit of a Good Possible World: Extracting Representative Instances of Uncertain Graphs
In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD ‘14), pp. 967-978. Snowbird, Utah (USA), June 22-27, 2014
[pdf]F. Bonchi, A. Gionis, F. Gullo, A. Ukkonen
Distance oracles in edge-labeled graphs
In Proceedings of the International Conference on Extending Database Technology (EDBT ‘14), pp. 547-558. Athens, Greece, March 24-28, 2014
[pdf] [slides]A. Khan, F. Bonchi, A. Gionis, F. Gullo
Fast Reliability Search in Uncertain Graphs
In Proceedings of the International Conference on Extending Database Technology (EDBT ‘14), pp. 535-546. Athens, Greece, March 24-28, 2014
[pdf] [slides] [code&data]L. Macchia, F. Bonchi, F. Gullo, L. Chiarandini
Mining Summaries of Propagations
In Proceedings of the IEEE International Conference on Data Mining (ICDM ‘13), pp. 498-507. Dallas, Texas (USA), December 7-10, 2013
[pdf] [code&data]C. E. Tsourakakis, F. Bonchi, A. Gionis, F. Gullo, M. A. Tsiarli
Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ‘13), pp. 104-112. Chicago, Illinois (USA), August 11-14, 2013
[pdf] [slides] [code]F. Bonchi, A. Gionis, F. Gullo, A. Ukkonen
Chromatic Correlation Clustering
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ‘12), pp. 1321-1329. Beijing, China, August 12-16, 2012
[pdf] [extended] [poster] [video]F. Gullo, A. K. A. Talukder, S. Luke, C. Domeniconi, A. Tagarelli
Multiobjective Optimization of Co-Clustering Ensembles
In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ‘12), pp. 1495-1496. Philadelphia, PA (USA), July 7-11, 2012
[pdf] [extended] [poster] [code&data]F. Gullo, C. Domeniconi, A. Tagarelli
Advancing Data Clustering via Projective Clustering Ensembles
In Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data (SIGMOD ‘11), pp. 733-744. Athens, Greece, June 12-16, 2011
[pdf] [slides] [code&data] [repeatability and workability (RWE) label]F. Gullo, G. Ponti, A. Tagarelli
Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain Objects
In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM ‘10), pp. 839-844. Sydney, Australia, December 14-17, 2010
[pdf] [slides]F. Gullo, C. Domeniconi, A. Tagarelli
Enhancing Single-Objective Projective Clustering Ensembles
In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM ‘10), pp. 833-838. Sydney, Australia, December 14-17, 2010
[pdf] [slides] [code&data]F. Gullo, C. Domeniconi, A. Tagarelli
Projective Clustering Ensembles
In Proceedings of the 9th IEEE International Conference on Data Mining (ICDM ‘09), pp. 794-799. Miami, Florida (USA), December 6-9, 2009
[pdf] [slides] [code&data]F. Gullo, A. Tagarelli, S. Greco
Diversity-based Weighting Schemes for Clustering Ensembles
In Proceedings of the 9th SIAM International Conference on Data Mining (SDM ‘09), pp. 437-448. Sparks, Nevada (USA), April 30-May 2, 2009
[pdf] [slides]F. Gullo, G. Ponti, A. Tagarelli, S. Greco
A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach
In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM ‘08), pp. 821-826. Pisa, Italy, December 15-19, 2008
[pdf] [slides] [code]Books
F. Bonchi, D. Garcia Soriano, F. Gullo
Correlation Clustering
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2022Edited volumes
Koprinska et al.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Proceedings, Part I
Communications in Computer and Information Science (CCIS) 1752, Springer, 2023, ISBN 978-3-031-23617-4Koprinska et al.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Proceedings, Part II
Communications in Computer and Information Science (CCIS) 1753, Springer, 2023, ISBN 978-3-031-23632-7Kamp et al.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Proceedings, Part I
Communications in Computer and Information Science (CCIS) 1524, Springer, 2021, ISBN 978-3-030-93735-5Kamp et al.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Proceedings, Part II
Communications in Computer and Information Science (CCIS) 1525, Springer, 2021, ISBN 978-3-030-93732-4V. Bitetta, I. Bordino, A. Ferretti, F. Gullo, G. Ponti, L. Severini
Mining Data for Financial Applications - 5th ECML PKDD Workshop, MIDAS 2020, co-located with the 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2020), Ghent, Belgium, September 18, 2020
Lecture Notes in Computer Science (LNCS) 12591, Springer, 2021, ISBN 978-3-030-66980-5V. Bitetta, I. Bordino, A. Ferretti, F. Gullo, S. Pascolutti, G. Ponti
Mining Data for Financial Applications - 4th ECML PKDD Workshop, MIDAS 2019, co-located with the 2019 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2019), Wurzburg, Germany, September 16, 2019
Lecture Notes in Computer Science (LNCS) 11985, Springer, 2020, ISBN 978-3-030-37719-9C. Alzate, A. Monreale, L. Bioglio, V. Bitetta, I. Bordino, G. Caldarelli, A. Ferretti, R. Guidotti, F. Gullo, S. Pascolutti, R. G. Pensa, C. Robardet, T. Squartini
ECML PKDD 2018 Workshops – MIDAS 2018 and PAP 2018, Proceedings, co-located with the 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2018), Dublin, Ireland, September 10-14, 2018
Lecture Notes in Computer Science (LNCS) 11054, Springer, 2019, ISBN 978-3-030-13462-4I. Bordino, G. Caldarelli, F. Fumarola, F. Gullo, T. Squartini
Proceedings of the First Workshop on MIning DAta for financial applicationS (MIDAS 2017), colocated with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2017), Skopje, Macedonia, September 18, 2017
CEUR Workshop Proceedings Vol-1941, CEUR-WS.org, 2017C. Domeniconi, F. Gullo, F. Bonchi, J. Domingo-Ferrer, R. Baeza-Yates, Z.-H. Zhou, X. Wu
16th IEEE International Conference on Data Mining Workshops (ICDMW 2016), Barcelona, Spain, December 12, 2016
IEEE Computer Society, 2016, ISBN 978-1-5090-5472-5I. Bordino, G. Caldarelli, F. Fumarola, F. Gullo, T. Squartini
Proceedings of the First Workshop on MIning DAta for financial applicationS (MIDAS 2016), colocated with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2016), Riva del Garda, Italy, September 19, 2016
CEUR Workshop Proceedings Vol-1774, CEUR-WS.org, 2016I. Assent, C. Domeniconi, F. Gullo, A. Tagarelli, A. Zimek
MultiClust ‘13: Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering, co-located with the KDD ‘13 conference, Chicago, Illinois (USA), August 11 - 14, 2013
ACM, 2013, ISBN 978-1-4503-2334-5T. Washio, J. Luo, P. Desikan, K.-W. Hsu, J. Srivastava, E.-P. Lim, M. Teisseire, M. Roche, C. Domeniconi, F. Gullo, A. Tagarelli, H. K. Tan, and W. C. Onn
Emerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Revised Selected Papers
Lecture Notes in Computer Science 7769, Springer, 2013, ISBN 978-3-642-36777-9Book chapters (refereed)
F. Bonchi, F. Gullo, A. Kaltenbrunner
Core Decomposition of Massive, Information-Rich Graphs
In Encyclopedia of Social Network Analysis and Mining - 2 edition, Springer, 2018F. Gullo, G. Ponti, S. Greco
Organizing XML Documents on a Peer-to-Peer Network by Collaborative Clustering
In XML Data Mining: Models, Methods, and Applications, IGI Global, 2012, pp. 449-466Other international conferences
F. Gullo, L. La Cava, D. Mandaglio, A. Tagarelli
When Correlation Clustering Meets Fairness Constraints
In Proceedings of the International Conference on Discovery Science (DS ‘22). Montpellier, France, October 10-12, 2022
[pdf]C. Di Crescenzo, G. Gavazzi, G. Legnaro, E. Troccoli, I. Bordino, F. Gullo
HERMEVENT: A News Collection for Emerging-Event Detection
In Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS ‘17). Amantea, Italy, June 19-22, 2017
[pdf] [slides] [data]F. Bonchi, I. Bordino, F. Gullo, G. Stilo
Identifying Buzzing Stories via Anomalous Temporal Subgraph Discovery
In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI ‘16), pp. 161-168. Omaha, Nebraska, USA, October 13-16, 2016
[pdf]F. Gullo, G. Ponti, A. Tagarelli, S. Cuomo, P. De Michele, F. Piccialli
Handling Uncertainty in Clustering Art-exhibition Visiting Styles
In Proceedings of the 7th EAI International Conference on Big Data Technologies and Applications (BDTA ‘16). Seoul, South Korea, November 17-18, 2016
[pdf]I. Bordino, A. Ferretti, M. Firrincieli, F. Gullo, M. Paris, G. Sabena
Hermes: A Distributed-Messaging Tool for NLP
In Proceedings of the 2nd International Conference on Machine Learning, Optimization, and Big Data (MOD ‘16), pp. 402-406. Volterra, Italy, August 26-29, 2016
[pdf] [slides]S. Romeo, A. Tagarelli, F. Gullo, S. Greco
A Tensor-based Clustering Approach for Multiple Document Classifications
In Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM ‘13), pp. 200-205. Barcelona, Spain, February 15-18, 2013
[pdf]A. Tagarelli, F. Gullo
Evaluating PageRank Methods for Structural Sense Ranking in Labeled Tree Data
In Proceedings of the Int. Conf. on Web Intelligence, Mining and Semantics (WIMS ‘12). Craiova, Romania, June 13-15, 2012
[pdf]F. Gullo, G. Ponti, A. Tagarelli, S. Iiritano, M. Ruffolo, D. Labate
Low-voltage Electricity Customer Profiling based on Load Data Clustering
In Proceedings of the 13th International Database Engineering & Applications Symposium (IDEAS ‘09), pp. 330-333. Cetraro, Italy, September 16-18, 2009
[pdf] [slides]F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri
Hierarchical Clustering of Microarray Data with Probe-level Uncertainty
In Proceedings of the 22th IEEE International Symposium on Computer-Based Medical Systems (CBMS ‘09). Albuquerque, New Mexico (USA), August 3-4, 2009
[pdf]F. Gullo, G. Ponti, A. Tagarelli
Clustering Uncertain Data via K-medoids
In Proceedings of the 2nd International Conference on Scalable Uncertainty Management (SUM ‘08), pp. 229-242. Napoli, Italy, October 1-3, 2008
[pdf] [slides] [code]F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri
MSPtool: A Versatile Tool for Mass Spectrometry Data Preprocessing
In Proceedings of the 21th IEEE International Symposium on Computer-Based Medical Systems (CBMS ‘08), pp. 209-214. Jyvaskyla, Finland, June 17-19, 2008
[pdf]F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri
A Time Series Based Approach for Classifying Mass Spectrometry Data
In Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS ‘07), pp. 412-417. Maribor, Slovenia, June 20-23, 2007
[pdf] [slides]Workshops and national conferences
D. Mandaglio, A. Tagarelli, F. Gullo
Correlation Clustering: from Local to Global Constraints. In Proceedings of the 30th Italian Symposium on Advanced Database Systems (SEBD ‘22). Tirrenia (Pisa), Italy, June 19-22, 2022.
[pdf]X. Bai, B. B. Cambazoglu, F. Gullo, A. Mantrach, F. Silvestri
Improving News Personalization Through Search Logs
In Proceedings of the 1st Workshop on Social Aspects in Personalization and Search (SoAPS ‘18), in conjunction with the 40th European Conference on Information Retrieval (ECIR ‘18). Grenoble, France, March 26-29, 2018.
[pdf] [slides]C. Domeniconi, F. Gullo, A. Tagarelli
The Projective Clustering Ensemble Problem for Advanced Data Clustering
In Proceedings of the 25th Italian Symposium on Advanced Database Systems (SEBD ‘17). Squillace Lido (Catanzaro), Italy, June 25-29, 2017
[pdf] [code&data]A. Freire, M. Manca, D. Saez-Trumper, D. Laniado, I. Bordino, F. Gullo, A. Kaltenbrunner
Graph-Based Breaking News Detection on Wikipedia
In Proceedings of the 2016 International Wiki Workshop, in conjunction with the 10th International AAAI Conference on Web and Social Media (Wiki@ICWSM ‘16). Cologne, Germany, May 17, 2016
[pdf] [poster]S. Greco, F. Gullo, G. Ponti, A. Tagarelli, G. Agapito
Clustering XML Documents: a Distributed Collaborative Approach
In Proceedings of the 18th Italian Symposium on Advanced Database Systems (SEBD ‘10), pp. 406-413. Rimini, Italy, June 20-23, 2010
[pdf] [slides]S. Greco, F. Gullo, G. Ponti, A. Tagarelli
Collaborative Clustering of XML Documents
In Proceedings of the 1st International Workshop on Distributed XML Processing: Theory and Practice (DXP ‘09), in conjunction with the 38th International Conference on Parallel Processing (ICPP ‘09). Vienna, Austria, September 22-25, 2009
[pdf] [slides]F. Gullo, G. Ponti, A. Tagarelli, S. Greco
Information-Theoretic Hierarchical Clustering of Uncertain Data
In Proceedings of the 17th Italian Symposium on Advanced Database Systems (SEBD ‘09), pp. 273-280. Geneva, Italy, June 21-24, 2009
[pdf] [code]F. Gullo, G. Ponti
Hierarchical Clustering of Uncertain Data
In Doctoral Symposium in conjunction with the 14th GII Doctoral School on Advances in Databases, Cetraro, Italy, September 19, 2009
[pdf] [slides] [code]F. Gullo, G. Ponti, A. Tagarelli, S. Greco
Accurate and Fast Similarity Detection in Time Series
In Proceedings of the 15th Italian Symposium on Advanced Database Systems (SEBD ‘07), pp. 172-183. Bari, Italy, June 17-20, 2007
[pdf]