Celia Cintas

Orcid: 0000-0002-8064-9189

According to our database1, Celia Cintas authored at least 33 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2023
Detecting Systematic Deviations in Data and Models.
Computer, February, 2023

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning.
npj Digit. Medicine, 2023

Efficient Representation of the Activation Space in Deep Neural Networks.
CoRR, 2023

Weakly Supervised Detection of Hallucinations in LLM Activations.
CoRR, 2023

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023

Domain-agnostic and Multi-level Evaluation of Generative Models.
CoRR, 2023

IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Revisiting Skin Tone Fairness in Dermatological Lesion Classification.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022
Pattern detection in the activation space for identifying synthesized content.
Pattern Recognit. Lett., 2022

Bulsarapp: Interactive Visual Analysis for Surname Trend Exploration.
IEEE Computer Graphics and Applications, 2022

Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Systematic Discovery of Bias in Data.
Proceedings of the IEEE International Conference on Big Data, 2022

Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Towards creativity characterization of generative models via group-based subset scanning.
CoRR, 2021

Racial Representation Analysis in Dermatology Academic Materials.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Towards effect estimation of COVID-19 Non-pharmaceutical Interventions.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys.
CoRR, 2020

Identifying Audio Adversarial Examples via Anomalous Pattern Detection.
CoRR, 2020

Fairness of Classifiers Across Skin Tones in Dermatology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Preservation of Anomalous Subgroups On Variational Autoencoder Transformed Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Automatic Ear Detection and Segmentation over Partially Occluded Profile Face Images.
J. Comput. Sci. Technol., 2019

Analyzing Bias in Sensitive Personal Information Used to Train Financial Models.
CoRR, 2019

Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets.
CoRR, 2019

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models.
CoRR, 2019

Enabling Care Continuity using a Digital Health Wallet.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Towards neural abstractive clinical trial text summarization with sequence to sequence models.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Evaluation of Bias in Sensitive Personal Information Used to Train Financial Models.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2017
Automatic ear detection and feature extraction using Geometric Morphometrics and convolutional neural networks.
IET Biom., 2017


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