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Anna Arias-Duart

Observed names: Anna Arias Duart, Arias Duart, Anna, Arias-Duart, Anna
ORCID: 0000-0002-8819-6735
Observed ORCID: 0000-0002-8819-6735
OpenAlex ID: A5019656391
Focus! Rating XAI Methods and Finding Biases
2022 · Anna Arias-Duart, Ferran Pares, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · 63
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Aloe: A Family of Fine-tuned Open Healthcare LLMs
2024 · Gururajan, Ashwin Kumar, Lopez-Cuena, Enrique, et al. · arXiv (Cornell University) · 43
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A Confusion Matrix for Evaluating Feature Attribution Methods
2023 · Anna Arias-Duart, Ettore Mariotti, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 36
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Automatic Evaluation of Healthcare LLMs Beyond Question-Answering
2025 · Anna Arias-Duart, Pablo Agustin Martin-Torres, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 22
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The Aloe Family recipe for open and specialized healthcare LLMs
2026 · Dario Garcia-Gasulla, Jordi Bayarri-Planas, et al. · npj Digital Medicine · 13
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The MAMe dataset: on the relevance of high resolution and variable shape image properties
2022 · Ferran Parés, Anna Arias-Duart, et al. · Applied Intelligence · 8
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Assessing Biases through Visual Contexts
2023 · Anna Arias-Duart, Victor Gimenez-Abalos, et al. · Electronics · 4
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Efficient Safety Retrofitting Against Jailbreaking for LLMs
2025 · Dario Garcia-Gasulla, Adrián Tormos, et al. · Lecture notes in computer science · 3
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Language Models Can Explain Visual Features via Steering
2026 · Ferrando, Javier, Lopez-Cuena, Enrique, et al. · arXiv (Cornell University) · 2
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TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing
2024 · Ettore Mariotti, Anna Arias-Duart, et al. · IEEE Access · 2
Who Explains the Explanation? Quantitatively Assessing Feature Attribution Methods
2021 · Anna Arias-Duart, Ferran Parés, et al. · arXiv (Cornell University) · 2
Exploring SAIG Methods for an Objective Evaluation of XAI
2026 · Miró-Nicolau, Miquel, Moyà-Alcover, Gabriel, et al. · arXiv (Cornell University) · 1
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Focus and Bias: Will It Blend?
2022 · Anna Arias-Duart, Ferran Parés, et al. · Frontiers in artificial intelligence and applications · 1
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A Closer Look at Art Mediums: The MAMe Image Classification Dataset
2020 · Ferran Parés, Anna Arias-Duart, et al. · arXiv (Cornell University) · 1
Nuevas perspectivas sobre ética e integridad académica en la docencia y la investigación universitaria
2026 · Liliana del Carmen Almaguer-Arroyo, Begoña Arenas-Romero, et al.
HEART Attacks: Healthcare Evaluation of Adversarial RobusTness
2026 · Martín Suárez-Fernández, Enrique Lopez-Cuena, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
Aloe-Vision: Robust Vision-Language Models for Healthcare
2026 · Guasch-Martí, Jaume, Lopez-Cuena, Enrique, et al. · arXiv (Cornell University)
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Transparent and Equitable Metrics and Models
2026 · Anna Arias-Duart, Atia Cortés, et al. · Springer eBooks
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Bias by Design? How Data Practices Shape Fairness in AI Healthcare Systems
2025 · Arias-Duart, Anna, Cardello, Maria Eugenia, et al. · arXiv (Cornell University)
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Assessing biases through mosaic attributions
2023 · Anna Arias Duart · UPCommons institutional repository (Universitat Politècnica de Catalunya)
Focus! Rating XAI Methods and Finding Biases with Mosaics.
2021 · Anna Arias-Duart, Ferran Parés, et al. · arXiv (Cornell University)
Works count: 24
Citation count: 201
H-index: 6
I10-index: 5
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