Ruggero G. Pensa

Orcid: 0000-0001-5145-3438

According to our database1, Ruggero G. Pensa authored at least 80 papers between 2004 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Co-clustering: A Survey of the Main Methods, Recent Trends, and Open Problems.
ACM Comput. Surv., February, 2025

2024
Fast parameterless prototype-based co-clustering.
Mach. Learn., April, 2024

A Gamified Platform to Support Educational Activities About Fake News in Social Media.
IEEE Trans. Learn. Technol., 2024

2023
FairSwiRL: fair semi-supervised classification with representation learning.
Mach. Learn., September, 2023

A parameter-less algorithm for tensor co-clustering.
Mach. Learn., February, 2023

Detection of Privacy-Harming Social Media Posts in Italian.
Proceedings of the Security and Privacy in Social Networks and Big Data, 2023

Fair Semi-supervised Representation Learning for Tabular Data Classification.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

2022
Analysis and classification of privacy-sensitive content in social media posts.
EPJ Data Sci., 2022

2021
ESA<sup>☆</sup>: A generic framework for semi-supervised inductive learning.
Neurocomputing, 2021

Differentially Private Distance Learning in Categorical Data.
Data Min. Knowl. Discov., 2021

Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data.
IEEE Access, 2021

An Inductive Framework for Semi-supervised Learning (Discussion Paper).
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

DP-DILCA: Learning Differentially Private Context-based Distances for Categorical Data (Discussion Paper).
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

2020
Enhancing Graph-Based Semisupervised Learning via Knowledge-Aware Data Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2020

Ranking by inspiration: a network science approach.
Mach. Learn., 2020

Tensor Co-clustering: A Parameter-less Approach.
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

Classification-based Content Sensitivity Analysis.
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

Towards Content Sensitivity Analysis.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019
A Social Network Simulation Game to Raise Awareness of Privacy Among School Children.
IEEE Trans. Learn. Technol., 2019

Network-aware privacy risk estimation in online social networks.
Soc. Netw. Anal. Min., 2019

Privacy Issues in Holistic Recommendations.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Améliorer la classification semi-supervisée à base de graphes.
Proceedings of the Extraction et Gestion des connaissances, 2019

Deep Triplet-Driven Semi-supervised Embedding Clustering.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Parameter-Less Tensor Co-clustering.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
M<sup>3</sup>Fusion: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion.
CoRR, 2018

Identification of key films and personalities in the history of cinema from a Western perspective.
Appl. Netw. Sci., 2018

Semi-Supervised Clustering With Multiresolution Autoencoders.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

2017
A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data.
IEEE Trans. Neural Networks Learn. Syst., 2017

Introduction to the special issue on dynamic networks and knowledge discovery.
Mach. Learn., 2017

Shaping City Neighborhoods Leveraging Crowd Sensors.
Inf. Syst., 2017

A privacy self-assessment framework for online social networks.
Expert Syst. Appl., 2017

Your Privacy, My Privacy? On Leakage Risk Assessment in Online Social Networks.
Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017

TrAnET: Tracking and Analyzing the Evolution of Topics in Information Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Concept-Enhanced Multi-view Co-clustering of Document Data.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Impact of Neighbors on the Privacy of Individuals in Online Social Networks.
Proceedings of the International Conference on Computational Science, 2017

Event-driven TV Programs Web Community Exploration.
Proceedings of the Workshops Proceedings and Tutorials of the 28th ACM Conference on Hypertext and Social Media (HT 2017), 2017

Measuring the Inspiration Rate of Topics in Bibliographic Networks.
Proceedings of the Discovery Science - 20th International Conference, 2017

Is This Movie a Milestone? Identification of the Most Influential Movies in the History of Cinema.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Recommending multimedia visiting paths in cultural heritage applications.
Multim. Tools Appl., 2016

Positive and unlabeled learning in categorical data.
Neurocomputing, 2016

Leveraging Cross-Domain Social Media Analytics to Understand TV Topics Popularity.
IEEE Comput. Intell. Mag., 2016

A Semi-supervised Approach to Measuring User Privacy in Online Social Networks.
Proceedings of the Discovery Science - 19th International Conference, 2016

A centrality-based measure of user privacy in online social networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Multimedia Recommendation and Delivery Strategies.
Proceedings of the Data Management in Pervasive Systems, 2015

2014
Leveraging additional knowledge to support coherent bicluster discovery in gene expression data.
Intell. Data Anal., 2014

Hierarchical co-clustering: off-line and incremental approaches.
Data Min. Knowl. Discov., 2014

Anonymity preserving sequential pattern mining.
Artif. Intell. Law, 2014

A Framework for Recommending Multimedia Cultural Visiting Paths.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Geographic Summaries from Crowdsourced Data.
Proceedings of the Semantic Web: ESWC 2014 Satellite Events, 2014

2013
Guest Editorial.
Intell. Data Anal., 2013

Parameter-less co-clustering for star-structured heterogeneous data.
Data Min. Knowl. Discov., 2013

Recommending Multimedia Objects in Cultural Heritage Applications.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013

MeSoOnTV: a media and social-driven ontology-based TV knowledge management system.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

Tracking and analyzing TV content on the web through social and ontological knowledge.
Proceedings of the 11th European Conference on Interactive TV and Video, 2013

2012
From Context to Distance: Learning Dissimilarity for Categorical Data Clustering.
ACM Trans. Knowl. Discov. Data, 2012

2010
Co-clustering numerical data under user-defined constraints.
Stat. Anal. Data Min., 2010

2009
Anonymous Sequences from Trajectory Data.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Parameter-Free Hierarchical Co-clustering by n-Ary Splits.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Context-Based Distance Learning for Categorical Data Clustering.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

Ontology-Driven Co-clustering of Gene Expression Data.
Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

2008
SQUAT: A web tool to mine human, murine and avian SAGE data.
BMC Bioinform., 2008

Numerical Data Co-clustering via Sum-Squared Residue Minimization and User-defined Constraint Satisfaction.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

Constrained Co-clustering of Gene Expression Data.
Proceedings of the SIAM International Conference on Data Mining, 2008

Co-classification sous contraintes par la somme des résidus quadratiques.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining.
Proceedings of the 1st International Workshop on Privacy in Location-Based Applications, 2008

2007
Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data.
Silico Biol., 2007

2006
Supporting bi-cluster interpretation in 0/1 data by means of local patterns.
Intell. Data Anal., 2006

Towards Constrained Co-clustering in Ordered 0/1 Data Sets.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

2005
A Bi-clustering Framework for Categorical Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data.
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

From Local Pattern Mining to Relevant Bi-cluster Characterization.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Towards Fault-Tolerant Formal Concept Analysis.
Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

2004
Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis.
Proceedings of the Intl. Workshop on Pattern Representation and Management, 2004

Assessment of discretization techniques for relevant pattern discovery from gene expression data.
Proceedings of the 4th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2004), 2004

A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data.
Proceedings of the Discovery Science, 7th International Conference, 2004

Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data Analysis.
Proceedings of the Local Pattern Detection, 2004

Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004


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