Alessandra Pascale  Alessandra Pascale photo         

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Research scientist and manager, Human-centric AI team
Ireland Research Lab, Dublin, Ireland



Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding
Debasis Ganguly, Martin Gleize, Yufang Hou, Charles Jochim, Francesca Bonin, Alessandra Pascale, Pierpaolo Tommasi, Pol Mac Aonghusa, Robert West, Marie Johnston, Mike Kelly, Susan Michie
AMIA 2021

ProACT - A Digital Platform to Support Self-Management of Multiple Chronic Conditions: Findings in Relation to Engagement during a one-year Proof-of-Concept trial
Julie Doyle, Emma Murphy, Shane Gavin, Alessandra Pascale, Stephane Deparis, Pierpaolo Tommasi
JMIR, 2021


HBCP corpus: a new resource for the analysis of behavioural change intervention reports
Francesca Bonin, Martin Gleize, Ailbhe Finnerty, Candice Moore, Charles Jochim, Emma Norris, Yufang Hou, Alison J Wright, Debasis Ganguly, Emily Hayes, Silje Zink, Alessandra Pascale, Pol Mac Aonghusa, Susan Michie
AMIA 2020


Building a Risk Model for the Patient-centred Care of Multiple Chronic Diseases
S Deparis, P Tommasi, A Pascale, H Rifai, J Doyle, J Dinsmore


KITE: An Analytics Platform for Multimorbidity Management
Pierpaolo TOMMASI, Alessandra PASCALE, Stphane DEPARIS and Spyros KOTOULAS
Studies in health technology and informatics255, 30-34, 2018

An analytical method for multimorbidity management using Bayesian networks
Stephane Deparis, Alessandra Pascale, Pierpaolo Tommasi and Spyros Kotoulas
Medical Informatics Europe 2018


Spillover Detection for Urban Traffic Networks Using Signal Timing and Stop Line Detector Data
Wang, Ren and Nair, Rahul and Pascale, Alessandra and Work, Daniel
TRB 2017

The GRAAL of carpooling: GReen And sociAL optimization from crowd-sourced data
Berlingerio, Michele and Ghaddar, Bissan and Guidotti, Riccardo and Pascale, Alessandra and Sassi, Andrea
Transportation Research Part C: Emerging Technologies80, 20--36, Elsevier, 2017


Social or green? A data-driven approach for more enjoyable carpooling
Riccardo Guidotti, Andrea Sassi, Michele Berlingerio, Alessandra Pascale, Bissan Ghaddar

(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen
Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), Porto, Portugal,

Characterization of network traffic processes under adaptive traffic control systems
Alessandra Pascale, Thanh Lam Hoang and Rahul Nair
Transportation Research Part C, Volume 59, October 2015, Pages 340- 357

Motorway speed pattern identification from floating vehicle data for freight applications
A. Pascale, F. Deflorio, M. Nicoli, B. Dalla Chiara, M. Pedroli
Transportation Research Part C: Emerging Technologies51, 104-119, 2015

Spatio-temporal clustering of urban networks, a real-case scenario in London
A. Pascale, D. Mavroeidis, T. Hoang
Transportation Research Record: Journal of the Transportation Research Board, No. 2491, on pages 81-89., 2015


Cooperative Bayesian Estimation of Vehicular Traffic in Large-Scale Networks
Alessandra Pascale, Monica Nicoli, Umberto Spagnolini
Intelligent Transportation Systems, IEEE Transactions on, IEEE, 2014


Estimation of highway traffic from sparse sensors: Stochastic modeling and particle filtering
Alessandra Pascale, Gabriel Gomes, Monica Nicoli
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, pp. 6158--6162


Wireless sensor networks for traffic management and road safety
A Pascale, M Nicoli, F Deflorio, Bruno Dalla Chiara, U Spagnolini
Intelligent Transport Systems, IET 6(1), 67--77, IET, 2012


Adaptive Bayesian network for traffic flow prediction
A Pascale, M Nicoli
Statistical Signal Processing Workshop (SSP), 2011 IEEE, pp. 177--180