Francesco Gullo

Orcid: 0000-0002-7052-1114

Affiliations:
  • UniCredit, Rome, Italy


According to our database1, Francesco Gullo authored at least 74 papers between 2007 and 2024.

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Bibliography

2024
Finding Subgraphs with Maximum Total Density and Limited Overlap in Weighted Hypergraphs.
ACM Trans. Knowl. Discov. Data, May, 2024

ReliK: A Reliability Measure for Knowledge Graph Embeddings.
Proceedings of the ACM on Web Conference 2024, 2024

2023
Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs.
Proc. VLDB Endow., 2023

A combinatorial multi-armed bandit approach to correlation clustering.
Data Min. Knowl. Discov., 2023

2022
Correlation Clustering
Synthesis Lectures on Data Mining and Knowledge Discovery, Springer, ISBN: 978-3-031-79210-6, 2022

Correlation Clustering: from Local to Global Constraints.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

When Correlation Clustering Meets Fairness Constraints.
Proceedings of the Discovery Science - 25th International Conference, 2022

2021
Advancing Receivable Financing via a Network-Based Approach.
IEEE Trans. Netw. Sci. Eng., 2021

Span-core Decomposition for Temporal Networks: Algorithms and Applications.
ACM Trans. Knowl. Discov. Data, 2021

GarNLP: A Natural Language Processing Pipeline for Garnishment Documents.
Inf. Syst. Frontiers, 2021

Correlation Clustering with Global Weight Bounds.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications.
ACM Trans. Knowl. Discov. Data, 2020

The Power of Connection: Leveraging Network Analysis to Advance Receivable Financing.
CoRR, 2020

In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Improving News Personalization Through Search Logs.
Proceedings of the Bias and Social Aspects in Search and Recommendation, 2020

2019
The importance of unexpectedness: Discovering buzzing stories in anomalous temporal graphs.
Web Intell., 2019

2018
Core Decomposition of Massive, Information-Rich Graphs.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Conditional Reliability in Uncertain Graphs.
IEEE Trans. Knowl. Data Eng., 2018

Mining (maximal) Span-cores from Temporal Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Network-based Receivable Financing.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Probabilistic Causal Analysis of Social Influence.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
An information-theoretic approach to hierarchical clustering of uncertain data.
Inf. Sci., 2017

Exploiting search history of users for news personalization.
Inf. Sci., 2017

Ensemble-based community detection in multilayer networks.
Data Min. Knowl. Discov., 2017

HERMEVENT: a news collection for emerging-event detection.
Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

The Projective Clustering Ensemble Problem for Advanced Data Clustering.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Core Decomposition and Densest Subgraph in Multilayer Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report].
SIGKDD Explor., 2016

Identifying Buzzing Stories via Anomalous Temporal Subgraph Discovery.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Hermes: A Distributed-Messaging Tool for NLP.
Proceedings of the Machine Learning, Optimization, and Big Data, 2016

Graph-Based Breaking News Detection on Wikipedia.
Proceedings of the Wiki, 2016

Advancing NLP via a distributed-messaging approach.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Handling Uncertainty in Clustering Art-Exhibition Visiting Styles.
Proceedings of the Big Data Technologies and Applications - 7th International Conference, 2016

2015
Uncertain Graph Processing through Representative Instances.
ACM Trans. Database Syst., 2015

Chromatic Correlation Clustering.
ACM Trans. Knowl. Discov. Data, 2015

Metacluster-based Projective Clustering Ensembles.
Mach. Learn., 2015

Efficient and effective community search.
Data Min. Knowl. Discov., 2015

The Minimum Wiener Connector.
CoRR, 2015

Finding Subgraphs with Maximum Total Density and Limited Overlap.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

The Minimum Wiener Connector Problem.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Graph Query Reformulation with Diversity.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

DifRec: A Social-Diffusion-Aware Recommender System.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Top-k Reliable Edge Colors in Uncertain Graphs.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
The pursuit of a good possible world: extracting representative instances of uncertain graphs.
Proceedings of the International Conference on Management of Data, 2014

Be Certain of How-to before Mining Uncertain Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Core decomposition of uncertain graphs.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Fast Reliability Search in Uncertain Graphs.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Distance oracles in edge-labeled graphs.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013
Minimizing the variance of cluster mixture models for clustering uncertain objects.
Stat. Anal. Data Min., 2013

Projective clustering ensembles.
Data Min. Knowl. Discov., 2013

Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A Tensor-based Clustering Approach for Multiple Document Classifications.
Proceedings of the ICPRAM 2013, 2013

Mining Summaries of Propagations.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Uncertain Centroid based Partitional Clustering of Uncertain Data.
Proc. VLDB Endow., 2012

A time series approach for clustering mass spectrometry data.
J. Comput. Sci., 2012

Evaluating PageRank methods for structural sense ranking in labeled tree data.
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012

Chromatic correlation clustering.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multiobjective optimization of co-clustering ensembles.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Collaborative clustering of XML documents.
J. Comput. Syst. Sci., 2011

Advancing data clustering via projective clustering ensembles.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010
Clustering XML Documents: a Distributed Collaborative Approach (Extended Abstract).
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Enhancing Single-Objective Projective Clustering Ensembles.
Proceedings of the ICDM 2010, 2010

2009
A time series representation model for accurate and fast similarity detection.
Pattern Recognit., 2009

MaSDA: A system for analyzing mass spectrometry data.
Comput. Methods Programs Biomed., 2009

Information-Theoretic Hierarchical Clustering of Uncertain Data.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Diversity-Based Weighting Schemes for Clustering Ensembles.
Proceedings of the SIAM International Conference on Data Mining, 2009

Low-voltage electricity customer profiling based on load data clustering.
Proceedings of the International Database Engineering and Applications Symposium (IDEAS 2009), 2009

Hierarchical clustering of microarray data with probe-level uncertainty.
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

2008
Clustering Uncertain Data Via K-Medoids.
Proceedings of the Scalable Uncertainty Management, Second International Conference, 2008

A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

MSPtool: A Versatile Tool for Mass Spectrometry Data Preprocessing.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007
Accurate and Fast Similarity Detection in Time Series.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

A Time Series Based Approach for Classifying Mass Spectrometry Data.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007


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