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David La Barbera
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The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale
M Soprano, K Roitero, D La Barbera, D Ceolin, D Spina, S Mizzaro, ...
Information Processing & Management 58 (6), 102710, 2021
562021
Crowdsourcing truthfulness: The impact of judgment scale and assessor bias
D La Barbera, K Roitero, G Demartini, S Mizzaro, D Spina
Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020
542020
The effects of crowd worker biases in fact-checking tasks
T Draws, D La Barbera, M Soprano, K Roitero, D Ceolin, A Checco, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
322022
HEROHE challenge: predicting HER2 status in breast cancer from hematoxylin–eosin whole-slide imaging
E Conde-Sousa, J Vale, M Feng, K Xu, Y Wang, V Della Mea, ...
Journal of Imaging 8 (8), 213, 2022
272022
Detection of her2 from haematoxylin-eosin slides through a cascade of deep learning classifiers via multi-instance learning
D La Barbera, A Polónia, K Roitero, E Conde-Sousa, V Della Mea
Journal of Imaging 6 (9), 82, 2020
252020
A Hybrid Human-In-The-Loop Framework for Fact Checking.
D La Barbera, K Roitero, S Mizzaro
NL4AI@ AI* IA, 13-23, 2022
152022
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review
M Soprano, K Roitero, D La Barbera, D Ceolin, D Spina, G Demartini, ...
Information Processing & Management 61 (3), 103672, 2024
122024
Combining human and machine confidence in truthfulness assessment
Y Qu, K Roitero, DL Barbera, D Spina, S Mizzaro, G Demartini
ACM Journal of Data and Information Quality 15 (1), 1-17, 2022
122022
BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval
D La Barbera, K Roitero, J Mackenzie, D Spina, G Demartini, S Mizzaro
CEUR Workshop Proceedings 3180, 564-572, 2022
82022
HEROHE challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization
E Conde-Sousa, J Vale, M Feng, K Xu, Y Wang, V Della Mea, ...
arXiv preprint arXiv:2111.04738, 2021
52021
How many crowd workers do I need? On statistical power when crowdsourcing relevance judgments
K Roitero, DL Barbera, M Soprano, G Demartini, S Mizzaro, T Sakai
ACM Transactions on Information Systems 42 (1), 1-26, 2023
42023
Combining human intelligence and machine learning for fact-checking: Towards a hybrid human-in-the-loop framework
D La Barbera, K Roitero, S Mizzaro
Intelligenza Artificiale, 1-10, 2023
42023
Crowdsourced Fact-checking: Does It Actually Work?
D La Barbera, E Maddalena, M Soprano, K Roitero, G Demartini, D Ceolin, ...
Information Processing & Management 61 (5), 103792, 2024
22024
Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection
X Zeng, D La Barbera, K Roitero, A Zubiaga, S Mizzaro
Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024
22024
Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region
F Da Ros, L Di Gaspero, K Roitero, D La Barbera, S Mizzaro, V Della Mea, ...
Journal of Healthcare Informatics Research 8 (2), 400-437, 2024
22024
Fact-checking at scale with crowdsourcing: Experiments and lessons learned
D La Barbera, M Soprano, K Roitero, E Maddalena, S Mizzaro
Proceedings of the 13th Italian Information Retrieval Workshop 3448, 85-90, 2023
22023
A Software Simulator for Optimizing Ambulance Location and Response Time: A Preliminary Report
D La Barbera, K Roitero, S Mizzaro, V Della Mea, F Valent
2021 IEEE International Conference on Digital Health (ICDH), 209-211, 2021
22021
A multi-objective biased random-key genetic algorithm for the siting of emergency vehicles
F Da Ros, L Di Gaspero, D La Barbera, V Della Mea, K Roitero, L Deroma, ...
Metaheuristics International Conference, 449-456, 2022
12022
The Elusiveness of Detecting Political Bias in Language Models
R Lunardi, D La Barbera, K Roitero
Proceedings of the 33rd ACM International Conference on Information and …, 2024
2024
Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models
K Roitero, M Soprano, D La Barbera, E Maddalena, S Mizzaro
Proceedings of the 14th Italian Information Retrieval Workshop, 74-77, 2024
2024
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