Noel C. F. Codella | DeepAI

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∙ 12/16/2019

A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning

Recent progress on few-shot learning has largely re-lied on annotated da...

0 Yunhui Guo, et al. ∙

∙ 10/29/2019

Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets

Recent advances in computer vision and deep learning have led to breakth...

36 Newton M. Kinyanjui, et al. ∙

∙ 08/06/2019

BCN20000: Dermoscopic Lesions in the Wild

This article summarizes the BCN20000 dataset, composed of 19424 dermosco...

0 Marc Combalia, et al. ∙

∙ 06/05/2019

Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning

Using machine learning in high-stakes applications often requires predic...

4 Noel C. F. Codella, et al. ∙

∙ 11/12/2018

TED: Teaching AI to Explain its Decisions

Artificial intelligence systems are being increasingly deployed due to t...

12 Noel C. F. Codella, et al. ∙

∙ 05/30/2018

Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images

Automated dermoscopic image analysis has witnessed rapid growth in diagn...

0 Noel C. F. Codella, et al. ∙

∙ 05/29/2018

Teaching Meaningful Explanations

The adoption of machine learning in high-stakes applications such as hea...

0 Noel C. F. Codella, et al. ∙

∙ 04/16/2018

Segmentation of both Diseased and Healthy Skin from Clinical Photographs in a Primary Care Setting

This work presents the first segmentation study of both disease and heal...

0 Noel C. F. Codella, et al. ∙

∙ 10/13/2017

Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collabora

This article describes the design, implementation, and results of the la...

0 Noel C. F. Codella, et al. ∙

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