2023

[TBA]
G. Bergami, S. Appleby, G. Morgan. “Quickening Data-Aware Conformance Checking through Temporal Algebras”. Information. 2023; 14(3):173. (Preprint, Source Code, Dataset)
S. Appleby, G. Bergami, G. Morgan. “Enhancing Declarative Temporal Model Mining in Relational Databases: A Preliminary Study”. In International Database Engineered Applications Symposium Conference (IDEAS 2023), May 5–7, 2023, Heraklion, Crete, Cyprus. ACM, New York, NY, USA. (Source Code, Dataset, Paper Source, Slides)
G. Bergami. “Fast Synthetic Data-Aware Log Generation for Temporal Declarative Models”. In GRADES & NDA’23: Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), June 18, 2023, Seattle, WA, USA. (Source Code, Dataset, Paper Source, Slides)
S. Appleby, K. Crane, G. Bergami, A. S. McGough. “SWiMM DEEPeR: A Simulated Underwater Environment for Tracking Marine Mammals Using Deep Reinforcement Learning and BlueROV2” CoG2023
R. Al-Mutairi, G. Bergami, G. Morgan, R. Gillgallon. “Platform for Energy Efficiency Monitoring Electrical Vehicle in Real World Traffic Simulation”. CBI Forum 2023.
G. Bergami. “KnoBAB: Making Logic Fast” AAAI 2023 Spring Symposium Series, March 27-29, 2023, Hyatt Regency San Francisco Airport, CA, USA (Preprint, Slides)

2022

S. Appleby, G. Bergami, G. Morgan. “Running Temporal Logical Queries on the Relational Model”. In International Database Engineered Applications Symposium (IDEAS’22), August 22–24, 2022, Budapest, Hungary. ACM, New York, NY, USA. (Source Code, Dataset, Paper Source, Slides)
A. A. Al-Sharidah, M. Barati, G. Bergami, R. Ranjan. “Cloud Auto-scaling Auditing Approach using Blockchain” In 2nd International Workshop on Blockchain for Smart Cyber-Physical Systems” (BlockCPS’22), December 6-9, 2022, Portland, Oregon, USA. IEEE, USA.

G. Bergami. “On Efficiently Equi-Joining Graphs”. In Proceedings of 25th International Database Engineering & Applications Symposium (IDEAS 2021), Montreal, Canada, July 14–16, 2021. ACM, New York, NY, USA. (Source Code, Dataset, Slides)
G. Bergami, F. M. Maggi, A. Marrella, M. Montali. “Aligning Data-Aware Declarative Process Models and Event Logs”. In BPM’21. (Source Code, Paper Source & Dataset, Demo, Slides)
S. Agostinelli, G. Bergami, A. Fiorenza, F. M. Maggi, A. Marrella, F. Patrizi. “Leveraging Model Learning to Discover the Behavior of Declarative Process Models”. ICPM’21 (Source Code).
G. Bergami, F. M. Maggi, M. Montali, R. Peñaloza. “Probabilistic Trace Alignments”. ICPM’21 (Preprint, Source Code & Dataset, Demo).
G. Bergami, F. M. Maggi, M. Montali, R. Peñaloza. “A Tool for Computing Probabilistic Trace Alignments”. Intelligent Information Systems. CAiSE Forum (2) 2021 (Video). Lecture Notes in Business Information Processing, vol 424. Springer, Cham. (Source Code & Dataset, Paper Source, Slides)
G. Bergami, C. Di Francescomarino, C. Ghidini, F. M. Maggi, Joonas Puura. “Exploring Business Process Deviance with Sequential and Declarative Patterns”. (Preprint, Source Code)
G. Bergami. “On Declare MAX-SAT and a finite Herbrand Base for data-aware logs”. CoRR abs/2106.07781
G. Bergami. “On a Logical Model for Joins over Property Graphs”. CoRR abs/2106.14766

G. Bergami, F. Bertini, D. Montesi. “Hierarchical Embedding for DAG Reachability Queries”. In Proceedings of 24th International Database Engineering & Applications Symposium (IDEAS 2020), Seoul, Republic of Korea, August 12–14, 2020. ACM, New York, NY, USA. (Source Code & Dataset, Slides)

G. Bergami. “A framework supporting imprecise queries and data”. CoRR abs/1912.12531
G. Bergami, F. Bertini, D. Montesi. “On Approximate Nesting of Multiple Social Network Graphs: a preliminary study”. In 23rd International Database Engineering & Applications Symposium (IDEAS’19), June 10–12, 2019, Athens, Greece. ACM, New York, NY, USA. (Dataset, Source Code, Slides)

G. Bergami, A. Petermann, D. Montesi. “THoSP: an Algorithm for Nesting Property Graphs”. In GRADES-NDA’18 : 1st Joint International Workshop on Graph Data Management Experiences Systems (GRADES) and Network Data Analytics (NDA), June 10–15, 2018, Houston, TX, USA. (Dataset, Source Code, Paper’s Source Code, Slides)
G.Bergami. “A new Nested Graph Model for Data Integration, [PhD Dissertation thesis]”, Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Computer science and engineering (2018), XXX Ciclo.
F. Bertini, G. Bergami, D. Montesi, G. Veronese, G. Marchesini, P. Pandolfi. “Predicting Frailty Condition in Elderly Using Multi-Dimensional Socio-Clinical Databases”. Proceedings of the IEEE 106(4):723-737 (Smart Cities 2018: 1, 2).
T. Zhang, A. Subburathinam, Ge Shi, L. Huang, Di Lu, X. Pan, M. Li, Bo-liang Zhang, Q. Wang, S. Whitehead, H. Ji, A. Zareian, H. Akbari, B. Chen, R. Zhong, S. Shao, E. All-away, S. Chang, K. McKeown, D. Li, X. Huang, K. Sun, X. Peng, R. Gabbard, M. Freedman, M. Kejriwal, R. Nevatia, P- Szekely, T.K. Satish Kumar, A. Sadeghian, Giacomo Bergami, S. Dutta, M. Rodriguez, D. Z. Wang. 2018. “GAIA-a multi-media multi-lingual knowl-edge extraction and hypothesis generation system”. In Proceedings of the Text Analysis Conference, SM-KBP Session.

A. Petermann, G. Micale, G. Bergami, A. Pulvirenti, E. Rahm. “Mining and Ranking of Generalized Multi-Dimensional Frequent Subgraphs”. Proceedings of the Twelfth International Conference on Digital Information Management, Fukuoka, Japan, September 2017 (ICDIM 2017). (Pre-Print Full Version, Source Code)
G. Bergami, M. Magnani, D. Montesi. “A Join Operator for Property Graphs”. Proceedings of Sixth International Workshop on Querying Graph Structured Data, Venice, Italy, March 2017 (GraphQ 2017). (Web App, Dataset, Source Code, Slides)

F. Bertini, G. Bergami, D. Montesi, P. Pandolfi. “Predicting frailty in elderly people using socio-clinical databases”. In 5th Workshop on Data Mining for Medicine and Healthcare, 2015. (Web App)
G. Bergami, M. Magnani, D. Montesi. “On Joining Graphs”. CoRR abs/1608.05594 (2016) (Source Code).