| Process mining manifesto W Aalst, A Adriansyah, AKA Medeiros, F Arcieri, T Baier, T Blickle, ... International conference on business process management, 169-194, 2011 | 1434 | 2011 |
| Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge M Biggerstaff, D Alper, M Dredze, S Fox, ICH Fung, KS Hickmann, ... BMC infectious diseases 16 (1), 1-10, 2016 | 169 | 2016 |
| Twitter mining for fine-grained syndromic surveillance P Velardi, G Stilo, AE Tozzi, F Gesualdo Artificial intelligence in medicine 61 (3), 153-163, 2014 | 90 | 2014 |
| Efficient temporal mining of micro-blog texts and its application to event discovery G Stilo, P Velardi Data Mining and Knowledge Discovery 30 (2), 372-402, 2016 | 87 | 2016 |
| Influenza-like illness surveillance on Twitter through automated learning of naïve language F Gesualdo, G Stilo, E Agricola, MV Gonfiantini, E Pandolfi, P Velardi, ... PLoS One 8 (12), e82489, 2013 | 54 | 2013 |
| A Survey of Machine Learning approaches for Student Dropout Prediction in Online Courses B Prenkaj, P Velardi, G Stilo, D Distante, S Faralli ACM Computing Surveys 53 (3), 34, 2020 | 34 | 2020 |
| Time makes sense: Event discovery in twitter using temporal similarity G Stilo, P Velardi 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014 | 33 | 2014 |
| Large scale homophily analysis in twitter using a twixonomy S Faralli, G Stilo, P Velardi Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 30 | 2015 |
| Agricola E, Gonfiantini MV, Pandolfi E, Velardi P, Tozzi AE. Influenza-like illness surveillance on Twitter through automated learning of naïve language F Gesualdo, G Stilo PLoS One 8 (12), e82489, 2013 | 30 | 2013 |
| Can Twitter be a source of information on allergy? Correlation of pollen counts with tweets reporting symptoms of allergic rhinoconjunctivitis and names of antihistamine drugs F Gesualdo, G Stilo, A D’Ambrosio, E Carloni, E Pandolfi, P Velardi, ... PloS one 10 (7), e0133706, 2015 | 25 | 2015 |
| Automatic acquisition of a taxonomy of microblogs users’ interests S Faralli, G Stilo, P Velardi Journal of Web Semantics 45, 23-40, 2017 | 24 | 2017 |
| Recommendation of microblog users based on hierarchical interest profiles S Faralli, G Stilo, P Velardi Social Network Analysis and Mining 5 (1), 1-23, 2015 | 24 | 2015 |
| Gender, rank, and social networks on an enterprise social media platform G Di Tommaso, M Gatti, M Iannotta, A Mehra, G Stilo, P Velardi Social Networks 62, 58-67, 2020 | 23 | 2020 |
| Hashtag sense clustering based on temporal similarity G Stilo, P Velardi Computational Linguistics 43 (1), 181-200, 2017 | 18 | 2017 |
| Temporal semantics: Time-varying hashtag sense clustering G Stilo, P Velardi International Conference on Knowledge Engineering and Knowledge Management …, 2014 | 17 | 2014 |
| Wiki-MID: a very large multi-domain interests dataset of Twitter users with mappings to Wikipedia GD Tommaso, S Faralli, G Stilo, P Velardi International Semantic Web Conference, 36-52, 2018 | 13 | 2018 |
| Identifying buzzing stories via anomalous temporal subgraph discovery F Bonchi, I Bordino, F Gullo, G Stilo 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 161-168, 2016 | 13 | 2016 |
| Unsupervised boosting-based autoencoder ensembles for outlier detection H Sarvari, C Domeniconi, B Prenkaj, G Stilo Pacific-Asia Conference on Knowledge Discovery and Data Mining, 91-103, 2021 | 11 | 2021 |
| A topic recommender for journalists A Cucchiarelli, C Morbidoni, G Stilo, P Velardi Information Retrieval Journal 22 (1), 4-31, 2019 | 11 | 2019 |
| Predicting flu epidemics using twitter and historical data G Stilo, P Velardi, AE Tozzi, F Gesualdo International Conference on Brain informatics and Health, 164-177, 2014 | 10 | 2014 |
