Elijah Cole

Orcid: 0000-0001-6623-0966

Affiliations:
  • Duke University, Durham, NC, USA


According to our database1, Elijah Cole authored at least 28 papers between 2015 and 2023.

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Bibliography

2023
BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration.
CoRR, 2023

Teaching Computer Vision for Ecology.
CoRR, 2023

Active Learning-Based Species Range Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatial Implicit Neural Representations for Global-Scale Species Mapping.
Proceedings of the International Conference on Machine Learning, 2023

Understanding Label Bias in Single Positive Multi-Label Learning.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023


2022
Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Advances in Information Retrieval, 2022

On Label Granularity and Object Localization.
Proceedings of the Computer Vision - ECCV 2022, 2022

When Does Contrastive Visual Representation Learning Work?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021
The iWildCam 2021 Competition Dataset.
CoRR, 2021

LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges.
Proceedings of the Advances in Information Retrieval, 2021

Species Distribution Modeling for Machine Learning Practitioners: A Review.
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Benchmarking Representation Learning for Natural World Image Collections.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-Label Learning From Single Positive Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

2020
The iWildCam 2020 Competition Dataset.
CoRR, 2020

The GeoLifeCLEF 2020 Dataset.
CoRR, 2020


Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2020

Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF).
Proceedings of the Working Notes of CLEF 2020, 2020

2019
Presence-Only Geographical Priors for Fine-Grained Image Classification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence Tomography.
IEEE Trans. Medical Imaging, 2018

2017
Computational Sprinting: Architecture, Dynamics, and Strategies.
ACM Trans. Comput. Syst., 2017

2015
An ocean sensor for measuring the seawater electrochemical response of 8 metals referenced to zinc, for determining ocean pH.
Proceedings of the 9th International Conference on Sensing Technology, 2015


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