Browsing UTSA Faculty and Staff Works by Author "Başağaoğlu, Hakan"

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A Review on Interpretable and Explainable Artificial Intelligence in Hydroclimatic Applications

Başağaoğlu, Hakan; Chakraborty, Debaditya; Lago, Cesar Do; Gutierrez, Lilianna; Şahinli, Mehmet Arif; Giacomoni, Marcio; Furl, Chad; Mirchi, Ali; Moriasi, Daniel N.; Şengör, Sema Sevinç (2022-04-11)

This review focuses on the use of Interpretable Artificial Intelligence (IAI) and eXplainable Artificial Intelligence (XAI) models for data imputations and numerical or categorical hydroclimatic predictions from nonlinearly ...
Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer

Chakraborty, Debaditya; Ivan, Cristina; Amero, Paola; Khan, Maliha; Rodriguez-Aguayo, Cristian; Başağaoğlu, Hakan; Lopez-Berestein, Gabriel (7/9/2021)

We investigated the data-driven relationship between immune cell composition in the tumor microenvironment (TME) and the ≥5-year survival rates of breast cancer patients using explainable artificial intelligence (XAI) ...
Reliable Evapotranspiration Predictions with a Probabilistic Machine Learning Framework

Başağaoğlu, Hakan; Chakraborty, Debaditya; Winterle, James (2/22/2021)

Evapotranspiration is often expressed in terms of reference crop evapotranspiration (ETo), actual evapotranspiration (ETa), or surface water evaporation (Esw), and their reliable predictions are critical for groundwater, ...