Giovanni Stilo

Orcid: 0000-0002-2092-0213

Affiliations:
  • University of L'Aquila, Italy


According to our database1, Giovanni Stilo authored at least 77 papers between 2008 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges.
ACM Comput. Surv., July, 2024

Deep Graph Networks for Drug Repurposing With Multi-Protein Targets.
IEEE Trans. Emerg. Top. Comput., 2024

Uncovering gender gap in academia: A comprehensive analysis within the software engineering community.
J. Syst. Softw., 2024

Report on Female Participation in Informatics degrees in Europe.
CoRR, 2024

VAMP: Visual Analytics for Microservices Performance.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

GRETEL 2.0: Generation and Evaluation of Graph Counterfactual Explanations Evolved.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA).
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Robust Stochastic Graph Generator for Counterfactual Explanations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Debiaser for Multiple Variables to enhance fairness in classification tasks.
Inf. Process. Manag., 2023

Developing and Evaluating Graph Counterfactual Explanation with GRETEL.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Revisiting CounteRGAN for Counterfactual Explainability of Graphs.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Democratizing Quality-Based Machine Learning Development through Extended Feature Models.
Proceedings of the Fundamental Approaches to Software Engineering, 2023

Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape.
Proceedings of the Software Architecture. ECSA 2023 Tracks, Workshops, and Doctoral Symposium, 2023

Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development.
Proceedings of the Software Architecture. ECSA 2023 Tracks, Workshops, and Doctoral Symposium, 2023

Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023).
Proceedings of the Advances in Information Retrieval, 2023

Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Network Connectivity Under a Probabilistic Node Failure Model.
IEEE Trans. Netw. Sci. Eng., 2022

Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation.
Inf. Process. Manag., 2022

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation.
CoRR, 2022

Modeling Quality and Machine Learning Pipelines through Extended Feature Models.
CoRR, 2022

GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation.
CoRR, 2022

An empirical study of privacy labels on the Apple iOS mobile app store.
Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2022

A Manifesto for Applied Data Science - Reasoning from a Business Perspective.
Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

DIORAMA: Digital twIn fOR sustAinable territorial MAnagement.
Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022).
Proceedings of the Advances in Information Retrieval, 2022

GRETEL: Graph Counterfactual Explanation Evaluation Framework.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

Ensemble Approaches for Graph Counterfactual Explanations.
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2021
A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses.
ACM Comput. Surv., 2021

Toward Effective Response to Natural Disasters: A Data Science Approach.
IEEE Access, 2021

Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021).
Proceedings of the Advances in Information Retrieval, 2021

SismaDL: an ontology to represent post-disaster regulation.
Proceedings of the Joint Proceedings of the BIR 2021 Workshops and Doctoral Consortium co-located with 20th International Conference on Perspectives in Business Informatics Research (BIR 2021), 2021

2020
Gender, rank, and social networks on an enterprise social media platform.
Soc. Networks, 2020

ECIR 2020 workshops: assessing the impact of going online.
SIGIR Forum, 2020

Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020).
SIGIR Forum, 2020

A feature-learning-based method for the disease-gene prediction problem.
Int. J. Data Min. Bioinform., 2020

Predicting disease genes for complex diseases using random watcher-walker.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020).
Proceedings of the Advances in Information Retrieval, 2020

Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

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

A topic recommender for journalists.
Inf. Retr. J., 2019

Guest editorial: social media for personalization and search.
Inf. Retr. J., 2019

Quality of Life Assessment of Diabetic patients from health-related blogs.
CoRR, 2019

The social phenotype: Extracting a patient-centered perspective of diabetes from health-related blogs.
Artif. Intell. Medicine, 2019

Deep Learning Approach for the Precision Medicine Track.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Graph-based selective outlier ensembles.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

TSTM: A Model to Predict Topics' Popularity in News Providers.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

Predicting Disease Genes Using Connectivity and Functional Features.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Report on the Workshop on Social Aspects in Personalization And Search (SoAPS).
SIGIR Forum, 2018

A New Framework for Centrality Measures in Multiplex Networks.
CoRR, 2018

Wiki-MID: A Very Large Multi-domain Interests Dataset of Twitter Users with Mappings to Wikipedia.
Proceedings of the Semantic Web - ISWC 2018, 2018

What to write and why: a recommender for news media.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018).
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

2017
Automatic acquisition of a taxonomy of microblogs users' interests.
J. Web Semant., 2017

Report on the Workshop on Social Media for Personalization And Search (SoMePeAS).
SIGIR Forum, 2017

Hashtag Sense Clustering Based on Temporal Similarity.
Comput. Linguistics, 2017

A Gendered Analysis of Leadership in Enterprise Social Networks.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

What to Write? A topic recommender for journalists.
Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, 2017

Twixonomy Visualization Interface: How to Wander Around User Preferences.
Proceedings of the Second Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the 9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2017), 2017

Capturing Users' Information and Communication Needs for the Press Officers.
Proceedings of the Workshop on Social Media for Personalization and Search co-located with 39th European Conference on Information Retrieval, 2017

Detecting network leaders in enterprises.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

2016
Efficient temporal mining of micro-blog texts and its application to event discovery.
Data Min. Knowl. Discov., 2016

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

2015
Recommendation of microblog users based on hierarchical interest profiles.
Soc. Netw. Anal. Min., 2015

Analysis of women leadership in enterprise social networks.
CoRR, 2015

Large Scale Homophily Analysis in Twitter Using a Twixonomy.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Semantic Recommender for Micro-blog Users.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
Twitter mining for fine-grained syndromic surveillance.
Artif. Intell. Medicine, 2014

Time Makes Sense: Event Discovery in Twitter Using Temporal Similarity.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Temporal Semantics: Time-Varying Hashtag Sense Clustering.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

Predicting Flu Epidemics Using Twitter and Historical Data.
Proceedings of the Brain Informatics and Health - International Conference, 2014

2013
Efficent techiniques for an unordered world.
PhD thesis, 2013

Automated learning of everyday patients' language for medical blogs analytics.
Proceedings of the Recent Advances in Natural Language Processing, 2013

2011

2009
A Support System for the Analysis and the Management of Complex Ruling Documents.
Proceedings of the Business Information Systems Workshops, 2009

2008
CNIPA, FUB and University of Rome "Tor Vergata" at TREC 2008 Legal Track.
Proceedings of The Seventeenth Text REtrieval Conference, 2008


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