CNIPA, FUB and University of Rome "Tor Vergata" at TREC 2008 Legal Track. - Gianni Amati; Marco Bianchi 001; Mauro Draoli; Alessandro Celi; Giorgio Gambosi; Giovanni Stilo (TREC, 2008)

A Support System for the Analysis and the Management of Complex Ruling Documents. - Marco Bianchi 001; Mauro Draoli; Giorgio Gambosi; Giovanni Stilo (BIS (Workshops), 2009)

Process Mining Manifesto. - Wil M. P. van der Aalst; Arya Adriansyah; Ana Karla Alves de Medeiros; Franco Arcieri; Thomas Baier 001; Tobias Blickle; R. P. Jagadeesh Chandra Bose; Peter van den Brand; Ronald Brandtjen; Joos C. A. M. Buijs; Andrea Burattin; Josep Carmona 001; et al. (Business Process Management Workshops (1), 2011)

Automated learning of everyday patients' language for medical blogs analytics. - Giovanni Stilo; Moreno De Vincenzi; Alberto E. Tozzi; Paola Velardi (RANLP, 2013)

Efficent techiniques for an unordered world. - Giovanni Stilo (2013)

Predicting Flu Epidemics Using Twitter and Historical Data. - Giovanni Stilo; Paola Velardi; Alberto E. Tozzi; Francesco Gesualdo (Brain Informatics and Health, 2014)

Temporal Semantics: Time-Varying Hashtag Sense Clustering. - Giovanni Stilo; Paola Velardi (EKAW, 2014)

Time Makes Sense: Event Discovery in Twitter Using Temporal Similarity. - Giovanni Stilo; Paola Velardi (WI-IAT (1), 2014)

Twitter mining for fine-grained syndromic surveillance. - Paola Velardi; Giovanni Stilo; Alberto E. Tozzi; Francesco Gesualdo (Artif. Intell. Medicine, 2014)

A Semantic Recommender for Micro-blog Users. - Stefano Faralli 001; Giovanni Stilo; Paola Velardi (BigData Congress, 2015)

Large Scale Homophily Analysis in Twitter Using a Twixonomy. - Stefano Faralli 001; Giovanni Stilo; Paola Velardi (IJCAI, 2015)

Analysis of women leadership in enterprise social networks. - Giorgia Di Tommaso; Giovanni Stilo; Paola Velardi (CoRR, 2015)

Recommendation of microblog users based on hierarchical interest profiles. - Stefano Faralli 001; Giovanni Stilo; Paola Velardi (Soc. Netw. Anal. Min., 2015)

Identifying Buzzing Stories via Anomalous Temporal Subgraph Discovery. - Francesco Bonchi; Ilaria Bordino; Francesco Gullo; Giovanni Stilo (WI, 2016)

Efficient temporal mining of micro-blog texts and its application to event discovery. - Giovanni Stilo; Paola Velardi (Data Min. Knowl. Discov., 2016)

Detecting network leaders in enterprises. - Giorgia Di Tommaso; Giovanni Stilo; Paola Velardi (CSCWD, 2017)

Capturing Users' Information and Communication Needs for the Press Officers. - Giovanni Stilo; Christian Morbidoni; Alessandro Cucchiarelli; Paola Velardi (SoMePeAS@ECIR, 2017)

Twixonomy Visualization Interface: How to Wander Around User Preferences. - Giorgia Di Tommaso; Giovanni Stilo (EnCHIReS@EICS, 2017)

What to Write? A topic recommender for journalists. - Alessandro Cucchiarelli; Christian Morbidoni; Giovanni Stilo; Paola Velardi (NLPmJ@EMNLP, 2017)

A Gendered Analysis of Leadership in Enterprise Social Networks. - Giorgia Di Tommaso; Giovanni Stilo; Paola Velardi (ICWSM, 2017)

Hashtag Sense Clustering Based on Temporal Similarity. - Giovanni Stilo; Paola Velardi (Comput. Linguistics, 2017)

Report on the Workshop on Social Media for Personalization And Search (SoMePeAS). - Ludovico Boratto; Andreas Kaltenbrunner; Giovanni Stilo (SIGIR Forum, 2017)

Automatic acquisition of a taxonomy of microblogs users' interests. - Stefano Faralli 001; Giovanni Stilo; Paola Velardi (J. Web Semant., 2017)

Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018). - Ludovico Boratto; Stefano Faralli 001; Christian Morbidoni; Gabriella Pasi; Giovanni Stilo (CIKM Workshops, 2018)

What to write and why: a recommender for news media. - Alessandro Cucchiarelli; Christian Morbidoni; Giovanni Stilo; Paola Velardi (SAC, 2018)

Wiki-MID: A Very Large Multi-domain Interests Dataset of Twitter Users with Mappings to Wikipedia. - Giorgia Di Tommaso; Stefano Faralli 001; Giovanni Stilo; Paola Velardi (ISWC (2), 2018)

A New Framework for Centrality Measures in Multiplex Networks. - Carlo Spatocco; Alessandro D'Andrea; Carlotta Domeniconi; Giovanni Stilo (CoRR, 2018)

Report on the Workshop on Social Aspects in Personalization And Search (SoAPS). - Ludovico Boratto; Giovanni Stilo (SIGIR Forum, 2018)

Predicting Disease Genes Using Connectivity and Functional Features. - Lorenzo Madeddu; Giovanni Stilo; Paola Velardi (BIBM, 2019)

TSTM: A Model to Predict Topics' Popularity in News Providers. - Mario Alfonso Prado-Romero; Alessandro Celi; Giovanni Stilo; Alex Coto-Santiesteban (CIARP, 2019)

Graph-based selective outlier ensembles. - Hamed Sarvari; Carlotta Domeniconi; Giovanni Stilo (SAC, 2019)

Deep Learning Approach for the Precision Medicine Track. - Juan Pablo Consuegra-Ayala; Giovanni Stilo; Alessandro Celi; Amleto Di Salle (TREC, 2019)

The social phenotype: Extracting a patient-centered perspective of diabetes from health-related blogs. - Andrea Lenzi; Marianna Maranghi; Giovanni Stilo; Paola Velardi (Artif. Intell. Medicine, 2019)

Quality of Life Assessment of Diabetic patients from health-related blogs. - Andrea Lenzi; Marianna Maranghi; Giovanni Stilo; Paola Velardi (CoRR, 2019)

Guest editorial: social media for personalization and search. - Ludovico Boratto; Andreas Kaltenbrunner; Giovanni Stilo (Inf. Retr. J., 2019)

A topic recommender for journalists. - Alessandro Cucchiarelli; Christian Morbidoni; Giovanni Stilo; Paola Velardi (Inf. Retr. J., 2019)

The importance of unexpectedness: Discovering buzzing stories in anomalous temporal graphs. - Francesco Bonchi; Ilaria Bordino; Francesco Gullo; Giovanni Stilo (Web Intell., 2019)

Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses. - Bardh Prenkaj; Giovanni Stilo; Lorenzo Madeddu (CIKM, 2020)

International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). - Ludovico Boratto; Mirko Marras; Stefano Faralli 001; Giovanni Stilo (ECIR (2), 2020)

Predicting disease genes for complex diseases using random watcher-walker. - Lorenzo Madeddu; Giovanni Stilo; Paola Velardi (SAC, 2020)

A feature-learning-based method for the disease-gene prediction problem. - Lorenzo Madeddu; Giovanni Stilo; Paola Velardi (Int. J. Data Min. Bioinform., 2020)

Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (SIGIR Forum, 2020)

ECIR 2020 workshops: assessing the impact of going online. - Sérgio Nunes 001; Suzanne Little; Sumit Bhatia; Ludovico Boratto; Guillaume Cabanac; Ricardo Campos 001; Francisco M. Couto; Stefano Faralli 001; Ingo Frommholz; Adam Jatowt; Alípio Jorge; Mirko Marras; et al. (SIGIR Forum, 2020)

Gender, rank, and social networks on an enterprise social media platform. - Giorgia Di Tommaso; Mauro Gatti; Michela Iannotta; Ajay Mehra; Giovanni Stilo; Paola Velardi (Soc. Networks, 2020)

SismaDL: an ontology to represent post-disaster regulation. - Francesca Caroccia; Damiano D'Agostino; Giordano d'Aloisio; Antinisca Di Marco; Giovanni Stilo (BIR Workshops, 2021)

Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (ECIR (2), 2021)

Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection. - Hamed Sarvari; Carlotta Domeniconi; Bardh Prenkaj; Giovanni Stilo (PAKDD (1), 2021)

Toward Effective Response to Natural Disasters: A Data Science Approach. - Ghulam Mudassir; Evans Etrue Howard; Lorenza Pasquini; Claudio Arbib; Eliseo Clementini; Antinisca Di Marco; Giovanni Stilo (IEEE Access, 2021)

A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses. - Bardh Prenkaj; Paola Velardi; Giovanni Stilo; Damiano Distante; Stefano Faralli 001 (ACM Comput. Surv., 2021)

Ensemble Approaches for Graph Counterfactual Explanations. - Mario Alfonso Prado-Romero; Bardh Prenkaj; Giovanni Stilo; Alessandro Celi; Ernesto Luis Estevanell-Valladares; Daniel Alejandro Valdés Pérez (XAI.it@AI*IA, 2022)

Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach. - Giordano d'Aloisio; Giovanni Stilo; Antinisca Di Marco; Andrea D'Angelo (BIAS, 2022)

GRETEL: Graph Counterfactual Explanation Evaluation Framework. - Mario Alfonso Prado-Romero; Giovanni Stilo (CIKM, 2022)

Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (ECIR (2), 2022)

DIORAMA: Digital twIn fOR sustAinable territorial MAnagement. - Andrea Bianchi; Giordano d'Aloisio; Andrea D'Angelo; Antinisca Di Marco; Alessandro Di Matteo; Jessica Léone; Giulia Scoccia; Giovanni Stilo; Luca Traini (itaDATA, 2022)

A Manifesto for Applied Data Science - Reasoning from a Business Perspective. - Bahne Christiansen; Uwe Neuhaus; Michael Schulz; Adrian Hargreaves; Antinisca Di Marco; Guido Proietti; Fabrizio Rossi; Giovanni Stilo; Mark H. Haney; Andrew Duncan; Daniele Tessera; Tilman Todt; et al. (itaDATA, 2022)

An empirical study of privacy labels on the Apple iOS mobile app store. - Gian Luca Scoccia; Marco Autili; Giovanni Stilo; Paola Inverardi (MOBILESoft, 2022)

GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation. - Mario Alfonso Prado-Romero; Giovanni Stilo (CoRR, 2022)

Modeling Quality and Machine Learning Pipelines through Extended Feature Models. - Giordano d'Aloisio; Antinisca Di Marco; Giovanni Stilo (CoRR, 2022)

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation. - Mario Alfonso Prado-Romero; Bardh Prenkaj; Giovanni Stilo; Fosca Giannotti (CoRR, 2022)

Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation. - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (Inf. Process. Manag., 2022)

Network Connectivity Under a Probabilistic Node Failure Model. - Lucia Cavallaro; Stefania Costantini; Pasquale De Meo; Antonio Liotta; Giovanni Stilo (IEEE Trans. Netw. Sci. Eng., 2022)

Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions. - Andrea Bianchi; Antinisca Di Marco; Francesca Marzi; Giovanni Stilo; Cristina Pellegrini; Stefano Masi; Alessandro Mengozzi; Agostino Virdis; Marco Salvatore Nobile; Marta Simeoni (CBMS, 2023)

Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (ECIR (3), 2023)

Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development. - Francesca Marzi; Giordano d'Aloisio; Antinisca Di Marco; Giovanni Stilo (ECSA (Tracks, Workshops and Doctoral Symposium), 2023)

Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape. - Giordano d'Aloisio; Andrea D'Angelo; Francesca Marzi; Diana Di Marco; Giovanni Stilo; Antinisca Di Marco (ECSA (Tracks, Workshops and Doctoral Symposium), 2023)

Democratizing Quality-Based Machine Learning Development through Extended Feature Models. - Giordano d'Aloisio; Antinisca Di Marco; Giovanni Stilo (FASE, 2023)

Revisiting CounteRGAN for Counterfactual Explainability of Graphs. - Mario Alfonso Prado-Romero; Bardh Prenkaj; Giovanni Stilo (Tiny Papers @ ICLR, 2023)

Are Generative-Based Graph Counterfactual Explainers Worth It? - Mario Alfonso Prado-Romero; Bardh Prenkaj; Giovanni Stilo (PKDD/ECML Workshops (3), 2023)

Developing and Evaluating Graph Counterfactual Explanation with GRETEL. - Mario Alfonso Prado-Romero; Bardh Prenkaj; Giovanni Stilo (WSDM, 2023)

Debiaser for Multiple Variables to enhance fairness in classification tasks. - Giordano d'Aloisio; Andrea D'Angelo; Antinisca Di Marco; Giovanni Stilo (Inf. Process. Manag., 2023)

Robust Stochastic Graph Generator for Counterfactual Explanations. - Mario Alfonso Prado-Romero; Bardh Prenkaj; Giovanni Stilo (AAAI, 2024)

Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA). - Marco Piangerelli; Bardh Prenkaj; Ylenia Rotalinti; Ananya Joshi 001; Giovanni Stilo (KDD, 2024)

GRETEL 2.0: Generation and Evaluation of Graph Counterfactual Explanations Evolved. - Mario Alfonso Prado-Romero; Bardh Prenkaj; Giovanni Stilo (ECML/PKDD (8), 2024)

VAMP: Visual Analytics for Microservices Performance. - Luca Traini; Jessica Léone; Giovanni Stilo; Antinisca Di Marco (SAC, 2024)

Report on Female Participation in Informatics degrees in Europe. - Andrea D'Angelo; Tiziana Catarci; Antinisca Di Marco; Monica Landoni; Enrico Nardelli; Giovanni Stilo (CoRR, 2024)

Uncovering gender gap in academia: A comprehensive analysis within the software engineering community. - Andrea D'Angelo; Giordano d'Aloisio; Francesca Marzi; Antinisca Di Marco; Giovanni Stilo (J. Syst. Softw., 2024)

Deep Graph Networks for Drug Repurposing With Multi-Protein Targets. - Davide Bacciu; Federico Errica; Alessio Gravina; Lorenzo Madeddu; Marco Podda; Giovanni Stilo (IEEE Trans. Emerg. Top. Comput., 2024)

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges. - Mario Alfonso Prado-Romero; Bardh Prenkaj; Giovanni Stilo; Fosca Giannotti (ACM Comput. Surv., 2024)

Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024). - Nicola Bena; Claudia Diamantini; Michela Natilli; Luigi Romano; Giovanni Stilo; Valentina Pansanella; Claudio A. Ardagna; Anna Monreale; Roberto Trasarti (CoRR, 2025)

Workshop Scientific HPC in the pre-Exascale era (part of ITADATA 2024) Proceedings. - Nicola Bena; Claudia Diamantini; Michela Natilli; Luigi Romano; Giovanni Stilo; Valentina Pansanella; Claudio A. Ardagna; Anna Monreale; Roberto Trasarti; Valentina Cesare; Gianluca Mittone; Emanuele De Rubeis; et al. (CoRR, 2025)