| Process mining manifesto W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ... Business Process Management Workshops: BPM 2011 International Workshops …, 2012 | 1969 | 2012 |
| Understanding deep learning SJD Prince MIT press, 2023 | 205 | 2023 |
| 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, 1-10, 2016 | 196 | 2016 |
| 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 | 117 | 2020 |
| Twitter mining for fine-grained syndromic surveillance P Velardi, G Stilo, AE Tozzi, F Gesualdo Artificial intelligence in medicine 61 (3), 153-163, 2014 | 105 | 2014 |
| CNIPA, FUB and University of Rome" Tor Vergata" at TREC 2008 Legal Track G Amati, M Bianchi, M Draoli, A Celi, G Gambosi, G Stilo NIST Special Publication 500-277: The Seventeenth Text REtrieval Conference …, 2008 | 96 | 2008 |
| 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 | 89 | 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 | 64 | 2013 |
| Large scale homophily analysis in twitter using a twixonomy S Faralli, G Stilo, P Velardi IJCAI International Joint Conference on Artificial Intelligence 2015, 2334-2340, 2015 | 42 | 2015 |
| 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 | 39 | 2015 |
| A survey on graph counterfactual explanations: definitions, methods, evaluation, and research challenges MA Prado-Romero, B Prenkaj, G Stilo, F Giannotti ACM Computing Surveys 56 (7), 1-37, 2024 | 38 | 2024 |
| 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 | 37 | 2013 |
| 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 | 35 | 2014 |
| 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 | 34 | 2020 |
| Automatic acquisition of a taxonomy of microblogs users’ interests S Faralli, G Stilo, P Velardi Journal of Web Semantics 45, 23-40, 2017 | 32 | 2017 |
| 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 | 26 | 2021 |
| Recommendation of microblog users based on hierarchical interest profiles S Faralli, G Stilo, P Velardi Social Network Analysis and Mining 5 (1), 25, 2015 | 25 | 2015 |
| Hashtag sense clustering based on temporal similarity G Stilo, P Velardi Computational Linguistics 43 (1), 181-200, 2017 | 22 | 2017 |
| Challenges and solutions to the student dropout prediction problem in online courses B Prenkaj, G Stilo, L Madeddu Proceedings of the 29th acm international conference on information …, 2020 | 21 | 2020 |
| Temporal semantics: Time-varying hashtag sense clustering G Stilo, P Velardi International Conference on Knowledge Engineering and Knowledge Management …, 2014 | 19 | 2014 |
