Alessandra Pascale

According to our database, Alessandra Pascale authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Functional Graph Convolutional Networks: A unified multi-task and multi-modal learning framework to facilitate health and social-care insights.

Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Cécile Rousseau, Alessandra Pascale, John Dinsmore

CoRR, 2024

Feature Selection for Functional Data Classification.

Tobia Boschi, Francesca Bonin, Jonathan Epperlein, Rodrigo Ordonez-Hurtado, Alessandra Pascale

CoRR, 2024

2023

A recommender for the management of chronic pain in patients undergoing spinal cord stimulation.

Tigran T. Tchrakian, Mykhaylo Zayats, Alessandra Pascale, Dat Huynh, Pritish Parida, Carla Agurto Rios, Sergiy Zhuk, Jeffrey L. Rogers, NAVITAS / ENVISION Studies Physician Author Group, Boston Scientific Research Scientists Consortium

CoRR, 2023

Automated Feature Selection from Medical Literature.

Alberto Purpura, Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Natasha Mulligan, Joao H. Bettencourt-Silva, Alessandra Pascale

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Information Flow in Graph Neural Networks: A Clinical Triage Use Case.

Víctor Valls, Mykhaylo Zayats, Alessandra Pascale

Proceedings of the IEEE International Conference on Digital Health, 2023

A Recommender for the Management of Chronic Pain in Patients Undergoing Spinal Cord Stimulation.

Tigran T. Tchrakian, Mykhaylo Zayats, Alessandra Pascale, Dat Huynh, Pritish Parida, Carla Agurto Rios, Sergiy Zhuk, Jeffrey L. Rogers

Proceedings of the IEEE International Conference on Digital Health, 2023

Graph-based Tool for Exploring PubMed Knowledge Base.

Simone Bottoni, Alberto Trombetta, Flavio Bertini, Danilo Montesi, Francesca Bonin, Alessandra Pascale, Martin Gleize, Pierpaolo Tommasi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

GASTon: A Graph-Exploration System for Indexing, Annotating and Visualizing PubMed Articles to Enhance the Analysis of Social deTerminants of Health.

Simone Bottoni, Alberto Trombetta, Flavio Bertini, Danilo Montesi, Francesca Bonin, Alessandra Pascale, Martin Gleize, Pierpaolo Tommasi

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

Literature Knowledge Graphs for Risk Modeling: a use case on Diabetes.

Joao H. Bettencourt-Silva, Natalia Mulligan, Francesca Bonin, Pierpaolo Tommasi, Alessandra Pascale, Vanessa López

Proceedings of the AMIA 2022, 2022

2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

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

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking Cessation.

Francesca Bonin, Martin Gleize, Yufang Hou, Debasis Ganguly, Ailbhe Finnerty, Charles Jochim, Alessandra Pascale, Pierpaolo Tommasi, Pol Mac Aonghusa, Susan Michie

Proceedings of the AMIA 2020, 2020

2019

HWProfile UI: facilitating the exploration of a patient centered risk model.

Pierpaolo Tommasi, Stéphane Deparis, Alessandra Pascale

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Building a Risk Model for the Patient-centred Care of Multiple Chronic Diseases.

Stéphane Deparis, Pierpaolo Tommasi, Alessandra Pascale, Hicham Rifai, Julie Doyle, John Dinsmore

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

An Analytical Method for Multimorbidity Management Using Bayesian Networks.

Stéphane Deparis, Alessandra Pascale, Pierpaolo Tommasi, Spyros Kotoulas

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

KITE: An Analytics Platform for Multimorbidity Management.

Pierpaolo Tommasi, Alessandra Pascale, Stéphane Deparis, Spyros Kotoulas

Proceedings of the Decision Support Systems and Education, 2018

2015

(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), 2015

Social or Green? A Data-Driven Approach for More Enjoyable Carpooling.

Riccardo Guidotti, Andrea Sassi, Michele Berlingerio, Alessandra Pascale, Bissan Ghaddar

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

Cooperative Bayesian Estimation of Vehicular Traffic in Large-Scale Networks.

Alessandra Pascale, Monica Nicoli, Umberto Spagnolini

IEEE Trans. Intell. Transp. Syst., 2014

2013

Traffic monitoring in ITS: wireless architectures and algoriyhms for traffic state estimation.

Alessandra Pascale

PhD thesis, 2013

Estimation of highway traffic from sparse sensors: Stochastic modeling and particle filtering.

Alessandra Pascale, Gabriel Gomes, Monica Nicoli

Proceedings of the IEEE International Conference on Acoustics, 2013