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

  1. 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]

  2. 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]

  3. 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]

  4. 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), 2020, ONLINE
    [pdf]

  5. 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]

  6. 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]

  7. 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]

  8. 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]

  9. 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]

  10. 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]

  11. 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]

  12. 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]

  13. 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]

  14. 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]

  15. F. Gullo
    From Patterns in Data to Knowledge Discovery: What Data Mining Can Do
    Physics Procedia, 62:18-22, 2015
    [pdf]

  16. F. Gullo, C. Domeniconi, A. Tagarelli
    Metacluster-based Projective Clustering Ensembles
    Machine Learning (MACH), 98(1-2):181-216, 2015
    [pdf] [code&data]

  17. 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]

  18. F. Gullo, C. Domeniconi, A. Tagarelli
    Projective Clustering Ensembles
    Data Mining and Knowledge Discovery (DAMI), 26(3):452-511, 2013
    [pdf] [code&data]

  19. 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]

  20. 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]

  21. 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]

  22. 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]

  23. 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)

  24. 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]

  25. 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]

  26. 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]

  27. 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]

  28. 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]

  29. 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]

  30. 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]

  31. 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]

  32. 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]

  33. 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]

  34. 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]

  35. 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]

  36. 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]

  37. 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]

  38. 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]

  39. 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]

  40. 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]

  41. 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]

  42. 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]

  43. 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]

  44. 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]

  45. 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]

  46. 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]

  47. 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]

  48. 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]

  49. 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]

  50. 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]

  51. 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]


    Edited volumes

  52. V. 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 978-3-030-66980-5

  53. V. 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 978-3-030-37719-9

  54. C. 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 978-3-030-13462-4

  55. I. 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, 2017

  56. C. 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 978-1-5090-5472-5

  57. I. 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, 2016

  58. I. 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 978-1-4503-2334-5

  59. T. 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 978-3-642-36777-9


    Book chapters (refereed)

  60. F. Bonchi, F. Gullo, A. Kaltenbrunner
    Core Decomposition of Massive, Information-Rich Graphs
    In Encyclopedia of Social Network Analysis and Mining - 2 edition, Springer, 2018

  61. F. 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. 449-466


    Other international conferences

  62. 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]

  63. 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]

  64. 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]

  65. 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]

  66. 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]

  67. 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]

  68. 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]

  69. 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]

  70. 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]

  71. 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]

  72. 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

  73. 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]

  74. 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]

  75. 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]

  76. 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]

  77. 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]

  78. 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]

  79. 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]

  80. 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]