| Evaluating scalable uncertainty estimation methods for deep learning-based molecular property prediction G Scalia, CA Grambow, B Pernici, YP Li, WH Green Journal of chemical information and modeling 60 (6), 2697-2717, 2020 | 46* | 2020 |
| E2mc: Improving emergency management service practice through social media and crowdsourcing analysis in near real time C Havas, B Resch, C Francalanci, B Pernici, G Scalia, ... Sensors 17 (12), 2766, 2017 | 37 | 2017 |
| Deep learning and alignment of spatially-resolved whole transcriptomes of single cells in the mouse brain with Tangram T Biancalani, G Scalia, L Buffoni, R Avasthi, Z Lu, A Sanger, N Tokcan, ... bioRxiv, 2020 | 19 | 2020 |
| IMEXT: A method and system to extract geolocated images from Tweets—Analysis of a case study C Francalanci, P Guglielmino, M Montalcini, G Scalia, B Pernici 2017 11th International Conference on Research Challenges in Information …, 2017 | 15 | 2017 |
| Exploratory spatio-temporal queries in evolving information C Francalanci, B Pernici, G Scalia International Workshop on Mobility Analytics for Spatio-temporal and Social …, 2017 | 10 | 2017 |
| Network-based content geolocation on social media for emergency management G SCALIA Italy, 2017 | 10 | 2017 |
| Molecular logic of cellular diversification in the mouse cerebral cortex DJ Di Bella, E Habibi, RR Stickels, G Scalia, J Brown, P Yadollahpour, ... Nature, 1-6, 2021 | 5 | 2021 |
| Crowd4Ems: A crowdsourcing platform for gathering and geolocating social media content in disaster response A Ravi Shankar, JL Fernandez-Marquez, B Pernici, G Scalia, ... International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 5 | 2019 |
| E2mC: Improving Rapid Mapping with Social Network Information JL Fernandez-Marquez, C Francalanci, S Mohanty, R Mondardini, ... Organizing for the Digital World, 63-74, 2019 | 4 | 2019 |
| Geolocating social media posts for emergency mapping B Pernici, C Francalanci, G Scalia, M Corsi, D Grandoni, MA Biscardi arXiv preprint arXiv:1801.06861, 2018 | 4 | 2018 |
| Storing combustion data experiments: New requirements emerging from a first prototype G Scalia, M Pelucchi, A Stagni, T Faravelli, B Pernici Semantics, Analytics, Visualization, 138-149, 2017 | 4 | 2017 |
| Spatio-temporal mining of keywords for social media cross-social crawling of emergency events A Autelitano, B Pernici, G Scalia Geoinformatica 23 (3), 425-447, 2019 | 3 | 2019 |
| Towards a scientific data framework to support scientific model development G Scalia, M Pelucchi, A Stagni, A Cuoci, T Faravelli, B Pernici Data Science 2 (1-2), 245-273, 2019 | 3 | 2019 |
| Talking about places: considering context in geolocation of images extracted from tweets C Francalanci, B Pernici, G Scalia, G Zeug GI_Forum 2018, 6, 243-250, 2018 | 3 | 2018 |
| About the Quality of Data and Services in Natural Sciences B Pernici, F Ratti, G Scalia Springer, 2021 | 2 | 2021 |
| Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter V Negri, D Scuratti, S Agresti, D Rooein, G Scalia, AR Shankar, ... 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 1 | 2021 |
| Data ecosystems for scientific experiments: managing combustion experiments and simulation analyses in chemical engineering E Ramalli, G Scalia, B Pernici, A Stagni, A Cuoci, T Faravelli Frontiers in big Data, 67, 2021 | 1 | 2021 |
| A data-driven approach to optimize bounds on the capacity of the molecular channel F Ratti, G Scalia, B Pernici, M Magarini GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-7, 2020 | 1 | 2020 |
| CIME: Context-aware geolocation of emergency-related posts G Scalia, C Francalanci, B Pernici GeoInformatica, 1-33, 2021 | | 2021 |
| Machine learning-driven integration, knowledge extraction and uncertainty management for scientific data G Scalia Italy, 2021 | | 2021 |
