24 results for "Caleb Robinson"

Emoji can facilitate recognition of conveyed indirect meaning.

Thomas Holtgraves; Caleb Robinson

PLoS ONE, Vol. 15 No. 4 · 2020 · English · DOAJ Scopus

In face-to-face communication there are multiple paralinguistic and gestural features that facilitate recognition of a speaker's intended meaning, features that are lacking when people communicate digitally (e.g., texting). As a result, substitutes have emerged (expressive punctuation…

Also available at: PLOS

Modeling migration patterns in the USA under sea level rise.

Caleb Robinson; Bistra Dilkina; Juan Moreno-Cruz

PLoS ONE, Vol. 15 No. 1 · 2020 · English · DOAJ Scopus

Sea level rise in the United States will lead to large scale migration in the future. We propose a framework to examine future climate migration patterns using models of human migration. Our framework requires that we distinguish between historical versus climate driven migration and recognizes how…

Also available at: PLOS

Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery

Caleb Robinson; Ben Chugg; Brandon Anderson et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 15 · 2022 · English · DOAJ Scopus

Concentrated animal feeding operations (CAFOs) pose serious risks to air, water, and public health, but have proven to be challenging to regulate. The U.S. Government Accountability Office notes that a basic challenge is the lack of comprehensive location information on CAFOs. We use the U.S…

An accurate, efficient, and accessible AI-powered solution for wildlife re-identification in conservation

Shahrzad Gholami; Derek E. Lee; Caleb Robinson et al.

Scientific Reports, Vol. 16 No. 1 · 2026 · English · DOAJ Scopus

Abstract Accurate wildlife re-identification is critical for a wide range of ecological studies, including density estimation via capture–recapture, demographic analyses, and behavioral research. We pr esent GIRAFFE (Generalized Image-based Re-identification using AI for Fauna Feature Extraction)…

Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson; Kolya Malkin; Nebojsa Jojic et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14 · 2021 · English · DOAJ Scopus

This article presents the scientific outcomes of the 2020 Data Fusion Contest (DFC2020) organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society. The 2020 Contest addressed the problem of automatic global land-cover mapping with weak…

Sims: An interactive tool for geospatial matching and clustering

Akram Zaytar; Girmaw Abebe Tadesse; Caleb Robinson et al.

PLOS One, Vol. 21 No. 4 · 2026 · English · PLOS Scopus

Acquiring, processing, and visualizing geospatial data requires significant computing resources, especially for large spatio-temporal domains. This challenge hinders the rapid discovery of predictive features, which are essential for advancing geospatial modeling. To address this, we developed…

Also available at: DOAJ

Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators

Girmaw Abebe Tadesse; Laura Ferguson; Caleb Robinson et al.

PLOS One, Vol. 20 No. 5 · 2025 · English · PLOS Scopus

Objectives: Malnutrition is a leading cause of morbidity and mortality for children under-5 globally. Low- and middle-income countries, such as Kenya, bear the greatest burden of malnutrition. The Kenyan government has been collecting clinical indicators, including on malnutrition, using District…

Also available at: DOAJ

The Outcome of the 2021 IEEE GRSS Data Fusion Contest—Track MSD: Multitemporal Semantic Change Detection

Zhuohong Li; Fangxiao Lu; Hongyan Zhang et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 15 · 2022 · English · DOAJ Scopus

We present here the scientific outcomes of the 2021 Data Fusion Contest (DFC2021) organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society. DFC2021 was dedicated to research on geospatial artificial intelligence (AI) for social good with…

Immediate and Longer-Term Effects of An Intensive Adolescent Cooking Intervention on Mental Well-Being and Cooking Self-Efficacy, Attitudes and Involvement

Sarahmarie Kuroko; Katherine Black; Themis Chryssidis et al.

Proceedings, Vol. 8 No. 1 · 2019 · English · DOAJ

Background: Cooking more frequently is associated with a healthier diet. However, reporteddecreases in adolescents’ cooking opportunities may contribute [...]

Enhancing Food Security With High-Quality Land-Use and Land-Cover Maps: A Local Model Approach

Girmaw Abebe Tadesse; Caleb Robinson; Charles Mwangi et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 18 · 2025 · English · DOAJ Scopus

In 2023, 58% of the African population experienced moderate to severe food insecurity, with 21.6% facing severe food insecurity. Land-use and land-cover maps enable informed resource management, urban planning, and environment monitoring to enhance food security. The development of global…

An Artificial Intelligence Dataset for Solar Energy Locations in India

Anthony Ortiz; Dhaval Negandhi; Sagar R. Mysorekar et al.

Scientific Data, Vol. 9 No. 1 · 2022 · English · DOAJ Scopus

Abstract Rapid development of renewable energy sources, particularly solar photovoltaics (PV), is critical to mitigate climate change. As a result, India has set ambitious goals to install 500 gigawatts of solar energy capacity by 2030. Given the large footprint projected to meet renewables energy…

Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes

Anthony Ortiz; Anusua Trivedi; Jocelyn Desbiens et al.

Scientific Reports, Vol. 12 No. 1 · 2022 · English · DOAJ Scopus

Abstract The rapid evolution of the novel coronavirus disease (COVID-19) pandemic has resulted in an urgent need for effective clinical tools to reduce transmission and manage severe illness. Numerous teams are quickly developing artificial intelligence approaches to these problems, including using…

Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement

Anusua Trivedi; Caleb Robinson; Marian Blazes et al.

PLOS ONE, Vol. 17 No. 10 · 2022 · English · PLOS Scopus

In response to the COVID-19 global pandemic, recent research has proposed creating deep learning based models that use chest radiographs (CXRs) in a variety of clinical tasks to help manage the crisis. However, the size of existing datasets of CXRs from COVID-19+ patients are relatively small, and…

Also available at: DOAJ

Expanding smallholder irrigation in central Kenya demonstrates the importance of protecting grassland landscapes

Gilles Quentin Hacheme; Stephen Andrew Wood; Renatus Magesa et al.

Environmental Research Letters, Vol. 20 No. 7 · 2025 · English · DOAJ Scopus

The rapid expansion of agriculture in Kenya, driven by the country’s growing population, poses critical environmental challenges such as climate change and biodiversity loss. While deforestation has received much attention, the equally vital grasslands are under significant threat. Monitoring…

Core-Set Selection for Data-Efficient Land Cover Segmentation

Keiller Nogueira; Akram Zaytar; Wanli Ma et al.

IEEE Access, Vol. 14 · 2026 · English · DOAJ Scopus

The increasing accessibility of remotely sensed data and their potential to support large-scale decision-making have driven the development of deep learning models for many Earth Observation tasks. Traditionally, such models rely on large datasets. However, the common assumption that larger…