With over 3500 mosquito species described, accurate species identification of the few
implicated in disease transmission is critical to mosquito borne disease mitigation. Yet this …

Estimating the geographical range of a species from sparse observations is a challenging
and important geospatial prediction problem. Given a set of locations where a species has …

In comparison to the competitors, engineers must provide quick, low-cost, and dependable
solutions. The advancement of intelligence generated by machines and its application in …

Abstract Machine learning has the potential to empower scientists, physicians, and other
human experts working to solve problems of societal importance. To realize this goal, we …

Studies of wildlife species distribution patterns are increasingly important in the face of rapid
ecosystem changes that have implications for disease emergence and spread, food security …

This dissertation is dedicated to image captioning, the task of automatically generating a
natural language description of a given image. This task is inherently multimodal: an …

The same niche cannot support two species. To avoid negative interactions, species adapt
their presence and utilize different types of resources according to different time periods …

Estimating the geographical range of a species from in situ observational data is a
challenging and important geospatial prediction problem. Given a set of locations indicating …

With over 3,500 mosquito species described, accurate species identification of the few
implicated in disease transmission is critical to mosquito borne disease mitigation. Yet this …