Found 7 datasets matching "explainable AI".
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We developed a suite of models using deep learning to make hindcast predictions of the 7-day average backward-looking nitrate concentration at 46 predominantly agricultural sites across the...
Search relevance: 80.84 | Views last month: 1 -
Source code, documentation, and examples of use of the source code for the Dioptra Test Platform.Dioptra is a software test platform for assessing the trustworthy characteristics of artificial...
Search relevance: 63.86 | Views last month: 3 -
This model archive contains the input data, model code, and model outputs for machine learning models that predict daily non-tidal stream salinity (specific conductance) for a network of 459...
Search relevance: 42.35 | Views last month: 0 -
This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture on generalizability when...
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This model archive provides all data, code, and modeling results used in Barclay and others (2023) to assess the ability of process-guided deep learning stream temperature models to accurately...
Search relevance: 40.54 | Views last month: 1 -
Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water supplies. Current state-of-the-art...
Search relevance: 39.01 | Views last month: 1 -
Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security, the law, transportation, even technology itself. On...
Search relevance: 38.52 | Views last month: 32
