Numerical Intelligent Systems Laboratory

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8 repositories

AdaptiveSampling
Public
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks. AAAI 2025.
Jupyter Notebook
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MIT License
•0•1•0•0•Updated Dec 17, 2024Dec 17, 2024
MultiSetSR
Public
Symbolic Regression with Univariate Skeleton Prediction in Multivariate Systems Using Transformers. ECML 2024
transformers symbolic-regression neural-symbolic-regression symbolic-skeleton
Python
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Other
•0•1•0•0•Updated Nov 21, 2024Nov 21, 2024
Lab-Resources
Public
Resources for NISL members
PostScript
•1•0•0•0•Updated Sep 7, 2024Sep 7, 2024
PredictionIntervals
Public
DualAQD: Dual Accuracy-quality-driven Prediction Intervals. IEEE TNNLS 2023.
neural-networks regression-models uncertainty-quantification uncertainty-estimation prediction-intervals
Jupyter Notebook
•0•10•0•0•Updated Jul 28, 2024Jul 28, 2024
HSI-BandSelection
Public
Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging. Remote Sensing 2021.
feature-selection convolutional-neural-networks hyperspectral-image-classification multispectral-images hyperspectral-imaging pytorch-implementation indian-pines-dataset salinas-dataset
Jupyter Notebook
•13•57•0•0•Updated Apr 8, 2024Apr 8, 2024
ManagementZonesCFE
Public
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones. IJCNN 2024.
Python
•0•0•0•0•Updated Mar 19, 2024Mar 19, 2024
ResponsivityAnalysis
Public
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.
fda interpretable-machine-learning counterfactual-explanations deep-regression response-curves
Python
•1•1•0•0•Updated Mar 19, 2024Mar 19, 2024
.github
Public
0•0•0•0•Updated Feb 29, 2024Feb 29, 2024