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08/16/2023
Precision and Recall Reject Curves for Classification
For some classification scenarios, it is desirable to use only those cla...
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01/13/2023
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces
Identifying meaningful concepts in large data sets can provide valuable ...
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03/21/2022
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies
Studies investigating neural information processing often implicitly ask...
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12/10/2021
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory
An important issue during an engineering design process is to develop an...
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06/23/2021
A partial information decomposition for discrete and continuous variables
Conceptually, partial information decomposition (PID) is concerned with ...
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05/10/2021
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition
Selecting a minimal feature set that is maximally informative about a ta...
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12/21/2020
Quantifying the predictability of visual scanpaths using active information storage
Entropy-based measures are an important tool for studying human gaze beh...
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03/10/2020
A Compact Spectral Descriptor for Shape Deformations
Modern product design in the engineering domain is increasingly driven b...
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02/18/2019
