Alessandra Pascale

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Topics

Medical Literature

Automatically Segmenting

Knowledge Extraction

Top Venues

Publications

Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran T. Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia. CoRR (2024)
Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Cécile Rousseau, Alessandra Pascale, John Dinsmore
Functional Graph Convolutional Networks: A unified multi-task and multi-modal learning framework to facilitate health and social-care insights. CoRR (2024)
Tobia Boschi, Francesca Bonin, Jonathan Epperlein, Rodrigo Ordonez-Hurtado, Alessandra Pascale
Feature Selection for Functional Data Classification. CoRR (2024)
Simone Bottoni, Alberto Trombetta, Flavio Bertini, Danilo Montesi, Francesca Bonin, Alessandra Pascale, Martin Gleize, Pierpaolo Tommasi
Graph-based Tool for Exploring PubMed Knowledge Base. ICDE (2023)
Víctor Valls, Mykhaylo Zayats, Alessandra Pascale
Information Flow in Graph Neural Networks: A Clinical Triage Use Case. ICDH (2023)
Tigran T. Tchrakian, Mykhaylo Zayats, Alessandra Pascale, Dat Huynh, Pritish Parida, Carla Agurto Rios, Sergiy Zhuk, Jeffrey L. Rogers
A Recommender for the Management of Chronic Pain in Patients Undergoing Spinal Cord Stimulation. ICDH (2023)
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
A recommender for the management of chronic pain in patients undergoing spinal cord stimulation. CoRR (2023)
Víctor Valls, Mykhaylo Zayats, Alessandra Pascale
Information Flow in Graph Neural Networks: A Clinical Triage Use Case. CoRR (2023)
Simone Bottoni, Alberto Trombetta, Flavio Bertini, Danilo Montesi, Francesca Bonin, Alessandra Pascale, Martin Gleize, Pierpaolo Tommasi
GASTon: A Graph-Exploration System for Indexing, Annotating and Visualizing PubMed Articles to Enhance the Analysis of Social deTerminants of Health. HEALTHINF (2023)
Alberto Purpura, Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Natasha Mulligan, Joao H. Bettencourt-Silva, Alessandra Pascale
Automated Feature Selection from Medical Literature. MedInfo (2023)
Joao H. Bettencourt-Silva, Natalia Mulligan, Francesca Bonin, Pierpaolo Tommasi, Alessandra Pascale, Vanessa López
Literature Knowledge Graphs for Risk Modeling: a use case on Diabetes. AMIA (2022)
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
Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding. AMIA (2021)
Francesca Bonin, Martin Gleize, Yufang Hou, Debasis Ganguly, Ailbhe Finnerty, Charles Jochim, Alessandra Pascale, Pierpaolo Tommasi, Pol Mac Aonghusa, Susan Michie
Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking Cessation. AMIA (2020)
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
HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports. LREC (2020)
Pierpaolo Tommasi, Stéphane Deparis, Alessandra Pascale
HWProfile UI: facilitating the exploration of a patient centered risk model. ICHI (2019)
Stéphane Deparis, Pierpaolo Tommasi, Alessandra Pascale, Hicham Rifai, Julie Doyle, John Dinsmore
Building a Risk Model for the Patient-centred Care of Multiple Chronic Diseases. BIBM (2019)
Pierpaolo Tommasi, Alessandra Pascale, Stéphane Deparis, Spyros Kotoulas
KITE: An Analytics Platform for Multimorbidity Management. EFMI-STC (2018)
Stéphane Deparis, Alessandra Pascale, Pierpaolo Tommasi, Spyros Kotoulas
An Analytical Method for Multimorbidity Management Using Bayesian Networks. MIE (2018)
Riccardo Guidotti, Andrea Sassi, Michele Berlingerio, Alessandra Pascale, Bissan Ghaddar
Social or Green? A Data-Driven Approach for More Enjoyable Carpooling. ITSC (2015)
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories. CoRR (2015)
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories. DC@PKDD/ECML (2015)
Alessandra Pascale, Monica Nicoli, Umberto Spagnolini
Cooperative Bayesian Estimation of Vehicular Traffic in Large-Scale Networks. IEEE Trans. Intell. Transp. Syst. 15 (5) (2014)
Alessandra Pascale, Gabriel Gomes, Monica Nicoli
Estimation of highway traffic from sparse sensors: Stochastic modeling and particle filtering. ICASSP (2013)