Results 11 to 20 of about 3,734,396 (145)
Fish mislabelling in France: substitution rates and retail types [PDF]
PeerJ, 2015 Market policies have profound implications for consumers as well as for the management of resources. One of the major concerns in fish trading is species mislabelling: the commercial name used does not correspond to the product, most often because the ...
Julien Bénard-Capelle +5 more
doaj +2 more sources
Robust Z-Estimators for Semiparametric Moment Condition Models
Entropy, 2023 In the present paper, we introduce a class of robust Z-estimators for moment condition models. These new estimators can be seen as robust alternatives for the minimum empirical divergence estimators. By using the multidimensional Huber function, we first
Aida Toma
doaj +1 more source
Privacy and Robustness in Federated Learning: Attacks and Defenses [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2020 As data are increasingly being stored in different silos and societies becoming more aware of data privacy issues, the traditional centralized training of artificial intelligence (AI) models is facing efficiency and privacy challenges.
L. Lyu +6 more
semanticscholar +1 more source
\({\ell_0}\) Optimization with Robust Non-Oracular Quantum Search
Technologies, 2023 In this article, we introduce an innovative hybrid quantum search algorithm, the Robust Non-oracle Quantum Search (RNQS), which is specifically designed to efficiently identify the minimum value within a large set of random numbers.
Tianyi Zhang , Yuan Ke
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GaitSG: Gait Recognition with SMPLs in Graph Structure
Sensors, 2023 Gait recognition aims to identify a person based on his unique walking pattern. Compared with silhouettes and skeletons, skinned multi-person linear (SMPL) models can simultaneously provide human pose and shape information and are robust to viewpoint and
Jiayi Yan +5 more
doaj +1 more source
Resampled Efficient Frontier Integration for MOEAs
Entropy, 2021 Mean-variance portfolio optimization is subject to estimation errors for asset returns and covariances. The search for robust solutions has been traditionally tackled using resampling strategies that offer alternatives to reference sets of returns or ...
David Quintana, David Moreno
doaj +1 more source
BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks
SoftwareX, 2020 Bayesian Networks (BNs) are probabilistic, graphical models for representing complex dependency structures. They have many applications in science and engineering.
Dominik Paprotny +3 more
doaj +1 more source
One-Layer vs. Two-Layer SOM in the Context of Outlier Identification: A Simulation Study
Applied Sciences, 2021 In this work, we applied a stochastic simulation methodology to quantify the power of the detection of outlying mixture components of a stochastic model, when applying a reduced-dimension clustering technique such as Self-Organizing Maps (SOMs).
Gabriel Antonio Valverde Castilla +2 more
doaj +1 more source
Certified Robustness to Adversarial Examples with Differential Privacy [PDF]
IEEE Symposium on Security and Privacy, 2018 Adversarial examples that fool machine learning models, particularly deep neural networks, have been a topic of intense research interest, with attacks and defenses being developed in a tight back-and-forth.
Mathias Lécuyer +4 more
semanticscholar +1 more source
Feature Denoising for Improving Adversarial Robustness [PDF]
Computer Vision and Pattern Recognition, 2018 Adversarial attacks to image classification systems present challenges to convolutional networks and opportunities for understanding them. This study suggests that adversarial perturbations on images lead to noise in the features constructed by these ...
Cihang Xie +4 more
semanticscholar +1 more source