453 citations · 1.2k across the 20 of their papers we have counts for
22 papers
A Hybrid Model for Forecasting Short-Term Electricity Demand
Maria Eleni Athanasopoulou, Justina Deveikyte, Alan Mosca +2
Currently the UK Electric market is guided by load (demand) forecasts published every thirty minutes by the regulator. A key factor in predicting demand is weather conditions, with…
Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark
Paschalis Lagias, George D. Magoulas, Ylli Prifti +1
The paper introduces a new dataset to assess the performance of machine learning algorithms in the prediction of the seriousness of injury in a traffic accident. The dataset is cre…
A Sentiment Analysis Approach to the Prediction of Market Volatility
Justina Deveikyte, Helyette Geman, Carlo Piccari +1
Prediction and quantification of future volatility and returns play an important role in financial modelling, both in portfolio optimization and risk management. Natural language p…
COVID-19 Contact Tracing: Eight Privacy Questions Explored
Hugh Lawson-Tancred, Henry C. W. Price, Alessandro Provetti
We respond to a recent short paper by de Motjoye et el. on privacy issues with Covid-19 tracking. Their paper, which we discuss here, is structured around three "toy protocols" for…
Potential gain as a centrality measure
Pasquale De Meo, Mark Levene, Alessandro Provetti
Navigability is a distinctive features of graphs associated with artificial or natural systems whose primary goal is the transportation of information or goods. We say that a graph…
Exploring Low-degree Nodes First Accelerates Network Exploration
Stefania Costantini, Pasquale De Meo, Angelo Giorgianni +3
We consider information diffusion on Web-like networks and how random walks can simulate it. A well-studied problem in this domain is Partial Cover Time, i.e., the calculation of t…