6 citations · 9 across the 6 of their papers we have counts for
6 papers
AI-integrated models for assessing agricultural resilience
Joshua R. Waite, Dana Golden, Brett Indelicato +8
Agricultural supply chains are vulnerable to disruptions through linked biophysical and economic systems. We develop an AI-powered tool that integrates economic models (GTAP) with…
Uncertainty-aware neural emulation reveals climate-resilient maize traits at scale
Mojdeh Saadati, Juan Panelo, Gustavo Visentini +3
Global food security depends on predicting crop responses to climate variability, yet process based crop models remain too computationally expensive for large scale exploration of…
WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification
Yanben Shen, Timilehin T. Ayanlade, Venkata Naresh Boddepalli +13
Early weed identification is crucial for effective management and control, and researchers, agronomists, and technology developers are increasingly interested in automating this pr…
Out-of-distribution detection algorithms for robust insect classification
Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi +5
Deep learning-based approaches have produced models with good insect classification accuracy; Most of these models are conducive for application in controlled environmental conditi…
Movie Recommender Systems: Implementation and Performance Evaluation
Mojdeh Saadati, Syed Shihab, Mohammed Shaiqur Rahman
Over the years, explosive growth in the number of items in the catalog of e-commerce businesses, such as Amazon, Netflix, Pandora, etc., have warranted the development of recommend…
Adjustment Criteria for Recovering Causal Effects from Missing Data
Mojdeh Saadati, Jin Tian
Confounding bias, missing data, and selection bias are three common obstacles to valid causal inference in the data sciences. Covariate adjustment is the most pervasive technique f…