Numerical Intelligent Systems Laboratory (NISL-MSU)

Numerical Intelligent Systems Laboratory

NISL-MSU

Organization data from Github https://github.com/NISL-MSU

Dr. John Sheppard's research team at Montana State University

Location:United States of America

Home Page:https://www.cs.montana.edu/sheppard/NISL/index.html

GitHub:@NISL-MSU

Numerical Intelligent Systems Laboratory's repositories

HSI-BandSelection

Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging. Remote Sensing 2021.

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PredictionIntervals

DualAQD: Dual Accuracy-quality-driven Prediction Intervals. IEEE TNNLS 2023.

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MultiSetSR

Symbolic Regression with Univariate Skeleton Prediction in Multivariate Systems Using Transformers. ECML 2024

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AdaptiveSampling

Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks. AAAI 2025.

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ResponsivityAnalysis

Counterfactual explanations for the identification of the features with the highest relevance on the shape of response curves generated by neural network black boxes. IJCNN 2023.

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Lab-Resources

Resources for NISL members

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ManagementZonesCFE

Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones. IJCNN 2024.

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