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Gustavo Carneiro

Identifiers

  • name variant Gustavo Carneiro 0.60 · backfill

Papers (30)

  1. Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging cs.CV · 2026 · author #4
  2. Multi-agent decision making: A Blackwell's informativeness approach cs.LG · 2026 · author #4
  3. People-Centred Medical Image Analysis via Fairness-Aware Human-AI Cooperation cs.LG · 2026 · author #9
  4. Prompt-Guided Image Editing with Masked Logit Nudging in Visual Autoregressive Models cs.CV · 2026 · author #3
  5. Fatigue-Aware Learning to Defer via Constrained Optimisation cs.LG · 2026 · author #5
  6. AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting cs.CV · 2025 · author #9
  7. Deep Multimodal Learning with Missing Modality: A Survey cs.CV · 2024 · author #4
  8. Unsupervised Task Design to Meta-Train Medical Image Classifiers cs.CV · 2019 · author #5
  9. Bayesian Generative Active Deep Learning cs.LG · 2019 · author #4
  10. A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning cs.CV · 2019 · author #6
  11. Multi-modal Ensemble Classification for Generalized Zero Shot Learning cs.CV · 2019 · author #4
  12. End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging cs.CV · 2018 · author #7
  13. Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks cs.CV · 2018 · author #4
  14. Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI cs.CV · 2018 · author #5
  15. Multi-modal Cycle-consistent Generalized Zero-Shot Learning cs.CV · 2018 · author #4
  16. Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI cs.CV · 2018 · author #5
  17. Bayesian Semantic Instance Segmentation in Open Set World cs.CV · 2018 · author #4
  18. Producing radiologist-quality reports for interpretable artificial intelligence cs.AI · 2018 · author #3
  19. Training Medical Image Analysis Systems like Radiologists cs.CV · 2018 · author #5
  20. Detecting hip fractures with radiologist-level performance using deep neural networks cs.CV · 2017 · author #3
  21. A Bayesian Data Augmentation Approach for Learning Deep Models cs.CV · 2017 · author #3
  22. Smart Mining for Deep Metric Learning cs.CV · 2017 · author #3
  23. Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach cs.CV · 2016 · author #2
  24. Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography cs.CV · 2016 · author #1
  25. Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue cs.CV · 2016 · author #3
  26. Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions cs.CV · 2015 · author #2
  27. Competitive Multi-scale Convolution cs.CV · 2015 · author #2
  28. On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units cs.CV · 2015 · author #2
  29. Robust Optimization for Deep Regression cs.CV · 2015 · author #3
  30. Deep Structured learning for mass segmentation from Mammograms cs.CV · 2014 · author #2

Mentions

  • 2604.26991 #9 · arxiv_oai · confidence 0.70 Gustavo Carneiro
  • 1511.05635 #2 · backfill · confidence 0.70 Gustavo Carneiro
  • 1508.00330 #2 · backfill · confidence 0.70 Gustavo Carneiro
  • 1505.06606 #3 · backfill · confidence 0.70 Gustavo Carneiro
  • 1410.7454 #2 · backfill · confidence 0.70 Gustavo Carneiro
  • 2605.29827 #4 · arxiv_oai · confidence 0.70 Gustavo Carneiro
  • 2409.07825 #4 · arxiv_oai · confidence 0.70 Gustavo Carneiro

Frequent Coauthors