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03/20/2023
Optimized preprocessing and Tiny ML for Attention State Classification
In this paper, we present a new approach to mental state classification ...
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10/06/2022
Anomaly detection using data depth: multivariate case
Anomaly detection is a branch of machine learning and data analysis whic...
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09/15/2022
Statistical monitoring of models based on artificial intelligence
The rapid advancement of models based on artificial intelligence demands...
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08/09/2022
On exact computation of Tukey depth central regions
The Tukey (or halfspace) depth extends nonparametric methods toward mult...
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01/20/2022
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications
The concept of median/consensus has been widely investigated in order to...
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01/13/2022
Functional Anomaly Detection: a Benchmark Study
The increasing automation in many areas of the Industry expressly demand...
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06/21/2021
Affine-Invariant Integrated Rank-Weighted Depth: Definition, Properties and Finite Sample Analysis
Because it determines a center-outward ordering of observations in ℝ^d w...
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03/23/2021
Depth-based pseudo-metrics between probability distributions
Data depth is a non parametric statistical tool that measures centrality...
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01/03/2021
Distributionally robust halfspace depth
Tukey's halfspace depth can be seen as a stochastic program and as such ...
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10/19/2020
A Framework to Learn with Interpretation
With increasingly widespread use of deep neural networks in critical dec...
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07/15/2020
Approximate computation of projection depths
Data depth is a concept in multivariate statistics that measures the cen...
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06/18/2020
When OT meets MoM: Robust estimation of Wasserstein Distance
Issued from Optimal Transport, the Wasserstein distance has gained impor...
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04/04/2020
Choosing among notions of multivariate depth statistics
Classical multivariate statistics measures the outlyingness of a point b...
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03/13/2020
Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach
The recent enthusiasm for artificial intelligence (AI) is due principall...
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10/14/2019
Uniform convergence rates for the approximated halfspace and projection depth
The computational complexity of some depths that satisfy the projection ...
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10/09/2019
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth Measure
With the ubiquity of sensors in the IoT era, statistical observations ar...
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04/09/2019
Functional Isolation Forest
For the purpose of monitoring the behavior of complex infrastructures (e...
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01/01/2019
Depth for curve data and applications
John W. Tukey (1975) defined statistical data depth as a function that d...
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08/14/2016
Depth and depth-based classification with R-package ddalpha
Following the seminal idea of Tukey, data depth is a function that measu...
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07/20/2012
