David La Barbera

According to our database, David La Barbera authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

2024

Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region.

Francesca Da Ros, Luca Di Gaspero, Kevin Roitero, David La Barbera, Stefano Mizzaro, Vincenzo Della Mea, Francesca Valent, Laura Deroma

J. Heal. Informatics Res., June, 2024

Cognitive Biases in Fact-Checking and Their Countermeasures: A Review.

Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Gianluca Demartini, Stefano Mizzaro

Inf. Process. Manag., March, 2024

How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments.

Kevin Roitero, David La Barbera, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Tetsuya Sakai

ACM Trans. Inf. Syst., January, 2024

Crowdsourced Fact-checking: Does It Actually Work?

David La Barbera, Eddy Maddalena, Michael Soprano, Kevin Roitero, Gianluca Demartini, Davide Ceolin, Damiano Spina, Stefano Mizzaro

Inf. Process. Manag., 2024

Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection.

Xia Zeng, David La Barbera, Kevin Roitero, Arkaitz Zubiaga, Stefano Mizzaro

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models.

Kevin Roitero, Michael Soprano, David La Barbera, Eddy Maddalena, Stefano Mizzaro

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

The Elusiveness of Detecting Political Bias in Language Models.

Riccardo Lunardi, David La Barbera, Kevin Roitero

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Combining Human and Machine Confidence in Truthfulness Assessment.

Yunke Qu, Kevin Roitero, David La Barbera, Damiano Spina, Stefano Mizzaro, Gianluca Demartini

ACM J. Data Inf. Qual., March, 2023

Combining human intelligence and machine learning for fact-checking: Towards a hybrid human-in-the-loop framework.

David La Barbera, Kevin Roitero, Stefano Mizzaro

Intelligenza Artificiale, 2023

Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned.

David La Barbera, Michael Soprano, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

2022

HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging.

Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia

J. Imaging, 2022

The Effects of Crowd Worker Biases in Fact-Checking Tasks.

Tim Draws, David La Barbera, Michael Soprano, Kevin Roitero, Davide Ceolin, Alessandro Checco, Stefano Mizzaro

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

BUM at CheckThat!-2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval.

David La Barbera, Kevin Roitero, Joel Mackenzie, Damiano Spina, Gianluca Demartini, Stefano Mizzaro

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

A Multi-objective Biased Random-Key Genetic Algorithm for the Siting of Emergency Vehicles.

Francesca Da Ros, Luca Di Gaspero, David La Barbera, Vincenzo Della Mea, Kevin Roitero, Laura Deroma, Sabrina Licata, Francesca Valent

Proceedings of the Metaheuristics - 14th International Conference, 2022

A Hybrid Human-In-The-Loop Framework for Fact Checking.

David La Barbera, Kevin Roitero, Stefano Mizzaro

Proceedings of the Sixth Workshop on Natural Language for Artificial Intelligence (NL4AI 2022) co-located with 21th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022), 2022

2021

The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale.

Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, Gianluca Demartini

Inf. Process. Manag., 2021

HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization.

Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia

CoRR, 2021

A Software Simulator for Optimizing Ambulance Location and Response Time: A Preliminary Report.

David La Barbera, Kevin Roitero, Stefano Mizzaro, Vincenzo Della Mea, Francesca Valent

Proceedings of the IEEE International Conference on Digital Health, 2021

2020

Detection of HER2 from Haematoxylin-Eosin Slides Through a Cascade of Deep Learning Classifiers via Multi-Instance Learning.

David La Barbera, António Polónia, Kevin Roitero, Eduardo Conde-Sousa, Vincenzo Della Mea

J. Imaging, 2020

Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias.

David La Barbera, Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Damiano Spina

Proceedings of the Advances in Information Retrieval, 2020