activity
20182021
most citedEvaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction

6 citations · 12 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CY20223 cited

TriggerCit: Early Flood Alerting using Twitter and Geolocation -- a comparison with alternative sources

Carlo Bono, Barbara Pernici, Jose Luis Fernandez-Marquez +3

Rapid impact assessment in the immediate aftermath of a natural disaster is essential to provide adequate information to international organisations, local authorities, and first r…

cs.DB20214 cited

Knowledge-driven Data Ecosystems Towards Data Transparency

Sandra Geisler, Maria-Esther Vidal, Cinzia Cappiello +9

A Data Ecosystem offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and the resolution of interoperability issues amo…

cs.CY2020

Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter

Virginia Negri, Dario Scuratti, Stefano Agresti +6

Social Media provides a trove of information that, if aggregated and analysed appropriately can provide important statistical indicators to policy makers. In some situations these…

cs.LG20196 cited

Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction

Gabriele Scalia, Colin A. Grambow, Barbara Pernici +2

Advances in deep neural network (DNN) based molecular property prediction have recently led to the development of models of remarkable accuracy and generalization ability, with gra…

cs.SI20182 cited

Geolocating social media posts for emergency mapping

Barbara Pernici, Chiara Francalanci, Gabriele Scalia +3

The demo will illustrate the features of a webGIS interface to support the rapid mapping activities after a natural disaster, with the goal of providing additional information from…