Sandra Eliza Fontes de Avila

Orcid: 0000-0001-9068-938X

Affiliations:
  • University of Campinas (Unicamp), Brazil


According to our database1, Sandra Eliza Fontes de Avila authored at least 71 papers between 2007 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Leveraging Self-Supervised Learning for Scene Recognition in Child Sexual Abuse Imagery.
CoRR, 2024

2023
A survey on deep learning for skin lesion segmentation.
Medical Image Anal., August, 2023

CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages.
CoRR, 2023

Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues.
CoRR, 2023

The Performance of Transferability Metrics Does Not Translate to Medical Tasks.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

Test-Time Selection for Robust Skin Lesion Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset.
Dataset, May, 2022

Mitigando Vieses no Aprendizado de Máquina: Uma Análise Sociotécnica.
Braz. J. Inf. Syst., 2022

#PraCegoVer: A Large Dataset for Image Captioning in Portuguese.
Data, 2022

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets.
CoRR, 2022

Weakly supervised attention-based models using activation maps for citrus mite and insect pest classification.
Comput. Electron. Agric., 2022

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

An Evaluation of Self-supervised Pre-training for Skin-Lesion Analysis.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Artifact-Based Domain Generalization of Skin Lesion Models.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Should I disclose my dataset? Caveats between reproducibility and individual data rights.
Proceedings of the Natural Legal Language Processing Workshop, 2022

2021
An Attentional Model for Earthquake Prediction Using Seismic Data.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

CIDEr-R: Robust Consensus-based Image Description Evaluation.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

What should we pay attention to when classifying violent videos?
Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020
Data, depth, and design: Learning reliable models for skin lesion analysis.
Neurocomputing, 2020

Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association.
Comput. Electron. Agric., 2020

Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Debiasing Skin Lesion Datasets and Models? Not So Fast.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Eyes in the Skies: A Data-Driven Fusion Approach to Identifying Drug Crops From Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Multimodal data fusion for sensitive scene localization.
Inf. Fusion, 2019

The Six Fronts of the Generative Adversarial Networks.
CoRR, 2019

Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation.
CoRR, 2019

A data-driven approach to referable diabetic retinopathy detection.
Artif. Intell. Medicine, 2019

Exploring the Cost-benefit of AWS EC2 GPU Instances for Deep Learning Applications.
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019

Combating the Elsagate Phenomenon: Deep Learning Architectures for Disturbing Cartoons.
Proceedings of the 7th International Workshop on Biometrics and Forensics, 2019

Toward Subjective Violence Detection in Videos.
Proceedings of the IEEE International Conference on Acoustics, 2019

Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

(De)Constructing Bias on Skin Lesion Datasets.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Leveraging deep neural networks to fight child pornography in the age of social media.
J. Vis. Commun. Image Represent., 2018

Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018.
CoRR, 2018

Data Augmentation for Skin Lesion Analysis.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

Skin Lesion Synthesis with Generative Adversarial Networks.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

Breaking down violence: A deep-learning strategy to model and classify violence in videos.
Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018

2017
Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral.
IEEE J. Biomed. Health Informatics, 2017

Video pornography detection through deep learning techniques and motion information.
Neurocomputing, 2017

Data, Depth, and Design: Learning Reliable Models for Melanoma Screening.
CoRR, 2017

RECOD Titans at ISIC Challenge 2017.
CoRR, 2017

Temporal Robust Features for Violence Detection.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Knowledge transfer for melanoma screening with deep learning.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Mid-level Image Representation for Fruit Fly Identification (Diptera: Tephritidae).
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016
A mid-level video representation based on binary descriptors: A case study for pornography detection.
Neurocomputing, 2016

Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes.
CoRR, 2016

Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results.
CoRR, 2016

Deep Neural Networks Under Stress.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Semantic Diversity versus Visual Diversity in Visual Dictionaries.
CoRR, 2015

RECOD at MediaEval 2015: Affective Impact of Movies Task.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

2014
The impact of visual attributes on online image diffusion.
Proceedings of the ACM Web Science Conference, 2014

Statistical Learning Approach for Robust Melanoma Screening.
Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014

Representing local binary descriptors with BossaNova for visual recognition.
Proceedings of the Symposium on Applied Computing, 2014

RECOD at MediaEval 2014: Violent Scenes Detection Task.
Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

Pornography detection using BossaNova video descriptor.
Proceedings of the 22nd European Signal Processing Conference, 2014

Automatic Diabetic Retinopathy detection using BossaNova representation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Extended Bag-Of-Words Formalism For Image Classification.
PhD thesis, 2013

Pooling in image representation: The visual codeword point of view.
Comput. Vis. Image Underst., 2013

Image classification using object detectors.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task.
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

2011
VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method.
Pattern Recognit. Lett., 2011

Content-Based Filtering for Video Sharing Social Networks
CoRR, 2011

BOSSA: Extended bow formalism for image classification.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2009

A bag-of-features approach based on Hue-SIFT descriptor for nude detection.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Automatic frame extraction for improving content-based image retrieval of historical photographs.
Proceedings of the 14th Brazilian Symposium on Multimedia and Web Systems, 2008

VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation.
Proceedings of the SIBGRAPI 2008, 2008

2007
Evaluating a Zoning Mechanism and Class-Modular Architecture for Handwritten Characters Recognition.
Proceedings of the Progress in Pattern Recognition, 2007


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