Alessandra Pascale

38 papers A* 4B 1Misc 4Journal 14Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models.
CoRR
Javier Carnerero-Cano, Massimiliano Pronesti, Radu Marinescu, Tigran T. Tchrakian, James Barry, Jasmina Gajcin, Yufang Hou, Alessandra Pascale, Elizabeth Daly
2026 J jnl
TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models.
CoRR
Cécile Rousseau, Samuel Jackson, Rodrigo Ordonez-Hurtado, Nicola C. Amorisco, Tobia Boschi, George K. Holt, Andrea Loreti, Eszter Székely, Alexander Whittle, Adriano Agnello, Stanislas Pamela, Alessandra Pascale, Robert Akers, Juan Bernabé-Moreno, Sue Thorne, Mykhaylo Zayats
2026 J jnl
TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics.
CoRR
Tobia Boschi, Andrea Loreti, Nicola C. Amorisco, Rodrigo Ordonez-Hurtado, Cécile Rousseau, George K. Holt, Eszter Székely, Alexander Whittle, Samuel Jackson, Adriano Agnello, Stanislas Pamela, Alessandra Pascale, Robert Akers, Juan Bernabé-Moreno, Vassil Alexandrov, Mykhaylo Zayats
2025 J jnl
Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation.
CoRR
Adam Dejl, James Barry, Alessandra Pascale, Javier Carnerero-Cano
2025 — conf
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models.
EMNLP (Findings)
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran T. Tchrakian, Javier Carnerero-Cano, Yufang Hou, Elizabeth M. Daly, Alessandra Pascale
2025 J jnl
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models.
CoRR
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran T. Tchrakian, Javier Carnerero-Cano, Yufang Hou, Elizabeth Daly, Alessandra Pascale
2025 J jnl
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation.
CoRR
Cécile Rousseau, Tobia Boschi, Giandomenico Cornacchia, Dhaval Salwala, Alessandra Pascale, Juan Bernabé-Moreno
2025 — conf
KITE+: A Knowledge Integration Platform to Support the Development of Multimodal, Large-Scale Data Analytics Applications with Alignment to Modern Data Protection Laws.
ICDH
Rodrigo Ordonez-Hurtado, Francesca Bonin, Tobia Boschi, Alessandra Pascale
2025 — conf
Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies.
ACL (1)
Massimiliano Pronesti, Joao H. Bettencourt-Silva, Paul Flanagan, Alessandra Pascale, Oisin Redmond, Anya Belz, Yufang Hou
2025 J jnl
Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies.
CoRR
Massimiliano Pronesti, Joao H. Bettencourt-Silva, Paul Flanagan, Alessandra Pascale, Oisin Redmond, Anya Belz, Yufang Hou
2024 A* conf
A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces.
ICML
Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Alessandra Pascale, Jonathan P. Epperlein
2024 J jnl
Feature Selection for Functional Data Classification.
CoRR
Tobia Boschi, Francesca Bonin, Jonathan Epperlein, Rodrigo Ordonez-Hurtado, Alessandra Pascale
2024 A* conf
Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights.
IJCAI
Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Cécile Rousseau, Alessandra Pascale, John Dinsmore
2024 J jnl
Functional Graph Convolutional Networks: A unified multi-task and multi-modal learning framework to facilitate health and social-care insights.
CoRR
Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Cécile Rousseau, Alessandra Pascale, John Dinsmore
2024 — conf
ProInsight: A Tool for Risk Prediction and Impact Evaluation of Digital Health Solution Implementations.
ICDH
Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Alessandra Pascale, Filipa Teixeira, Isil Coklar Okutkan, Jéssica Morais, Sara Polak, An Jacobs, Julie Doyle, John Dinsmore
2024 A* conf
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia.
NeurIPS
Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran T. Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri
2024 J jnl
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia.
CoRR
Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran T. Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri
2023 — conf
A Recommender for the Management of Chronic Pain in Patients Undergoing Spinal Cord Stimulation.
ICDH
Tigran T. Tchrakian, Mykhaylo Zayats, Alessandra Pascale, Dat Huynh, Pritish Parida, Carla Agurto Rios, Sergiy Zhuk, Jeffrey L. Rogers
2023 J jnl
A recommender for the management of chronic pain in patients undergoing spinal cord stimulation.
CoRR
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
2023 — conf
Automated Feature Selection from Medical Literature.
MedInfo
Alberto Purpura, Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Natasha Mulligan, Joao H. Bettencourt-Silva, Alessandra Pascale
2023 — conf
GASTon: A Graph-Exploration System for Indexing, Annotating and Visualizing PubMed Articles to Enhance the Analysis of Social deTerminants of Health.
HEALTHINF
Simone Bottoni, Alberto Trombetta, Flavio Bertini, Danilo Montesi, Francesca Bonin, Alessandra Pascale, Martin Gleize, Pierpaolo Tommasi
2023 A* conf
Graph-based Tool for Exploring PubMed Knowledge Base.
ICDE
Simone Bottoni, Alberto Trombetta, Flavio Bertini, Danilo Montesi, Francesca Bonin, Alessandra Pascale, Martin Gleize, Pierpaolo Tommasi
2023 — conf
Information Flow in Graph Neural Networks: A Clinical Triage Use Case.
ICDH
Víctor Valls, Mykhaylo Zayats, Alessandra Pascale
2023 J jnl
Information Flow in Graph Neural Networks: A Clinical Triage Use Case.
CoRR
Víctor Valls, Mykhaylo Zayats, Alessandra Pascale
2022 Misc conf
Literature Knowledge Graphs for Risk Modeling: a use case on Diabetes.
AMIA
Joao H. Bettencourt-Silva, Natalia Mulligan, Francesca Bonin, Pierpaolo Tommasi, Alessandra Pascale, Vanessa López
2021 Misc conf
Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding.
AMIA
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
2020 B conf
HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports.
LREC
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
2020 Misc conf
Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking Cessation.
AMIA
Francesca Bonin, Martin Gleize, Yufang Hou, Debasis Ganguly, Ailbhe Finnerty, Charles Jochim, Alessandra Pascale, Pierpaolo Tommasi, Pol Mac Aonghusa, Susan Michie
2019 — conf
Building a Risk Model for the Patient-centred Care of Multiple Chronic Diseases.
BIBM
Stéphane Deparis, Pierpaolo Tommasi, Alessandra Pascale, Hicham Rifai, Julie Doyle, John Dinsmore
2019 — conf
HWProfile UI: facilitating the exploration of a patient centered risk model.
ICHI
Pierpaolo Tommasi, Stéphane Deparis, Alessandra Pascale
2018 — conf
An Analytical Method for Multimorbidity Management Using Bayesian Networks.
MIE
Stéphane Deparis, Alessandra Pascale, Pierpaolo Tommasi, Spyros Kotoulas
2018 — conf
KITE: An Analytics Platform for Multimorbidity Management.
EFMI-STC
Pierpaolo Tommasi, Alessandra Pascale, Stéphane Deparis, Spyros Kotoulas
2015 — conf
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories.
DC@PKDD/ECML
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen
2015 J jnl
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories.
CoRR
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen
2015 — conf
Social or Green? A Data-Driven Approach for More Enjoyable Carpooling.
ITSC
Riccardo Guidotti, Andrea Sassi, Michele Berlingerio, Alessandra Pascale, Bissan Ghaddar
2014 J jnl
Cooperative Bayesian Estimation of Vehicular Traffic in Large-Scale Networks.
IEEE Trans. Intell. Transp. Syst.
Alessandra Pascale, Monica Nicoli, Umberto Spagnolini
2013 Misc conf
Estimation of highway traffic from sparse sensors: Stochastic modeling and particle filtering.
ICASSP
Alessandra Pascale, Gabriel Gomes, Monica Nicoli
2013 — —
Traffic monitoring in ITS: wireless architectures and algoriyhms for traffic state estimation.
Alessandra Pascale