David P. Hughes

According to our database, David P. Hughes authored at least 9 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Optimal Deployment in Crowdsensing for Plant Disease Diagnosis in Developing Countries.

Andrea Coletta, Novella Bartolini, Gaia Maselli, Annalyse Kehs, Peter McCloskey, David P. Hughes

IEEE Internet Things J., 2022

Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors.

Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting.

Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

AntVis: A web-based visual analytics tool for exploring ant movement data.

Tianxiao Hu, Hao Zheng, Chen Liang, Sirou Zhu, Natalie Imirzian, Yizhe Zhang, Chaoli Wang, David P. Hughes, Danny Z. Chen

Vis. Informatics, 2020

On Optimal Crowd-Sensing Task Management in Developing Countries.

Andrea Coletta, Novella Bartolini, Gaia Maselli, David P. Hughes

Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

2019

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation.

Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2017

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images.

Yizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David P. Hughes, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Using Deep Learning for Image-Based Plant Disease Detection.

Sharada Prasanna Mohanty, David P. Hughes, Marcel Salathé

CoRR, 2016

2015

An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing.

David P. Hughes, Marcel Salathé

CoRR, 2015