Publications

My DBLP page (thanks to Michael Ley)


    International Journals

  1. 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.
  2. A. Tagarelli, A. Amelio, F. Gullo. Ensemble-based Community Detection in Multilayer Networks. Data Mining and Knowledge Discovery (DAMI), 31(5):1506-1543, 2017.
  3. F. Gullo, G. Ponti, A. Tagarelli, S. Greco. An Information-Theoretic Approach to Hierarchical Clustering of Uncertain Data. Information Sciences, 402:199-215, 2017.
  4. X. Bai, B. Barla Cambazoglu, F. Gullo, A. Mantrach, F. Silvestri. Exploiting Search History of Users for News Personalization. Information Sciences, 385-386:125-137, 2017.
  5. I. Assent, C. Domeniconi, F. Gullo, A. Tagarelli, A. Zimek. MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledge-driven Clustering. ACM SIGKDD Explorations Newsletter, 18(1):35-38, 2016.
  6. 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.
  7. N. Barbieri, F. Bonchi, E. Galimberti, F. Gullo. Efficient and Effective Community Search. Data Mining and Knowledge Discovery (DAMI), 29(5):1406-1433, 2015.
  8. F. Bonchi, A. Gionis, F. Gullo, C. E. Tsourakakis, A. Ukkonen. Chromatic Correlation Clustering. ACM Transactions on Knowledge Discovery from Data (TKDD), 9(4):34:1-34:24, 2015.
  9. F. Gullo. From Patterns in Data to Knowledge Discovery: What Data Mining Can Do. Physics Procedia, 62:18-22, 2015.
  10. F. Gullo, C. Domeniconi, A. Tagarelli. Metacluster-based Projective Clustering Ensembles. Machine Learning, 98(1-2):181-216, 2015.
  11. 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.
  12. F. Gullo, C. Domeniconi, A. Tagarelli. Projective Clustering Ensembles. Data Mining and Knowledge Discovery (DAMI), 26(3):452-511, 2013.
  13. F. Gullo, A. Tagarelli. Uncertain Centroid based Partitional Clustering of Uncertain Data. Proceedings of the VLDB Endowment (PVLDB), 5(7):610-621, 2012. [slides] [Arizona University "paper backed by code" (BC) label]
  14. 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.
  15. 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.
  16. F. Gullo, G. Ponti, A. Tagarelli, S. Greco. A Time Series Representation Model for Accurate and Fast Similarity Detection. Pattern Recognition, 42(11):2998-3014, 2009.
  17. 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.



  18. International Conferences

  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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 ACM International Conference on Web Intelligence, Mining and Semantics (WIMS ’17). Amantea, Italy, June 19-22, 2017.
  25. 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.
  26. 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.
  27. 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. [best paper award]
  28. 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.
  29. 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.
  30. A. Khan, F. Gullo, F. Bonchi, T. Wohler. 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.
  31. 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.
  32. 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 4, 2015.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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. [slides]
  38. 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. [slides]
  39. 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.
  40. 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.
  41. 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.
  42. 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. [appendix] [trailer]
  43. 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. [full version]
  44. A. Tagarelli, F. Gullo. Evaluating PageRank Methods for Structural Sense Ranking in Labeled Tree Data. In Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS ’12). Craiova, Romania, June 13-15, 2012.
  45. 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. ["repeatability and workability evaluation" (RWE) label]
  46. 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.
  47. 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.
  48. 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
  49. F. Gullo, G. Ponti, A. Tagarelli, S. Iiritano, M. Ru olo, D. Labate. Low-voltage Electricity Customer Profi ling 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.
  50. 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.
  51. 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. [student travel award]
  52. 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.
  53. 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.
  54. 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.
  55. 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.



  56. Edited Volumes

  57. I. Bordino, G. Caldarelli, F. Fumarola, F. Gullo, T. Squartini. Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS ’17), co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD ’17), Skopje, Macedonia, September 18, 2017. CEUR Workshop Proceedings Vol-1941, CEUR-WS.org, 2017.
  58. 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.
  59. I. Bordino, G. Caldarelli, F. Fumarola, F. Gullo, T. Squartini. Proceedings of the First Workshop on MIning DAta for financial applicationS (MIDAS ’16), co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD ’16), Riva del Garda, Italy, September 19, 2016. CEUR Workshop Proceedings Vol-1774, CEUR-WS.org, 2016.
  60. 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.
  61. 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. [online]


  62. Book Chapters (refereed)

  63. F. Bonchi, F. Gullo, A. Kaltenbrunner. Core Decomposition of Massive, Information-Rich Graphs. In Encyclopedia of Social Network Analysis and Mining (ESNAM), 2nd edition, Springer, 2017.
  64. 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.



  65. Workshops & National Conferences

  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. 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.
  72. F. Gullo, G. Ponti, A. Tagarelli, S. Greco. Accurate and Fast Similarity Detection in Time Seriess. In Proceedings of the 15th Italian Symposium on Advanced Database Systems (SEBD `07), pp. 172-183. Bari, Italy, June 17-20, 2007.