99 citations · 160 across the 5 of their papers we have counts for
5 papers
Client Network: An Interactive Model for Predicting New Clients
Massimiliano Mattetti, Akihiro Kishimoto, Adi Botea +4
Understanding prospective clients becomes increasingly important as companies aim to enlarge their market bases. Traditional approaches typically treat each client in isolation, ei…
Statistical and machine learning ensemble modelling to forecast sea surface temperature
Stefan Wolff, Fearghal O'Donncha, Bei Chen
In situ and remotely sensed observations have potential to facilitate data-driven predictive models for oceanography. A suite of machine learning models, including regression, deci…
Ensemble model aggregation using a computationally lightweight machine-learning model to forecast ocean waves
Fearghal O'Donncha, Yushan Zhang, Bei Chen +1
This study investigated an approach to improve the accuracy of computationally lightweight surrogate models by updating forecasts based on historical accuracy relative to sparse ob…
Castor: Contextual IoT Time Series Data and Model Management at Scale
Bei Chen, Bradley Eck, Francesco Fusco +4
We demonstrate Castor, a cloud-based system for contextual IoT time series data and model management at scale. Castor is designed to assist Data Scientists in (a) exploring and ret…
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale +2
Real-time estimation of destination and travel time for taxis is of great importance for existing electronic dispatch systems. We present an approach based on trip matching and ens…