Auflistung Nach Schlagwort "Interpretability"
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Clustering of Urban Road Paths; Identifying the Optimal Set of Linear and Nonlinear Clustering Features
(2021)Urban traffic is undoubtedly a dynamic phenomenon presenting variations over both time and space, that in the majority of cases are the result of a mixture of, either well known (i.e. weather, seasonality) or not easily ... -
Constructive Fuzzy Cognitive Map for Depression Severity Estimation
(2022)Depression is a common and serious medical disorder that negatively affects the mood and the emotions of people, especially adolescents. In this paper, a novel framework for automatically creating Fuzzy Cognitive Maps ... -
An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge
(2020)Data quality is a significant research subject for any application that requests for analytics to support decision making. It becomes very important when we focus on Internet of Things (IoT) where numerous devices can ... -
An explainable semi-personalized federated learning model
(2022)Training a model using batch learning requires uniform data storage in a repository. This approach is intrusive, as users have to expose their privacy and exchange sensitive data by sending them to central entities to be ... -
IF3: An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps
(2022)The detection of abnormalities in the gastrointestinal (GI) tract, including precancerous lesions, is substantially subject to expert knowledge and experience. To address the challenge of automated lesion risk assessment, ... -
A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks
(2021)Every learning algorithm, has a specific bias. This may be due to the choice of its hyperparameters, to the characteristics of its classification methodology, or even to the representation approach of the considered ... -
Towards the Interpretation of Convolutional Neural Networks for Image Classification Using Fuzzy Sets
(2022)Convolutional Neural Networks (CNNs) have demonstrated an outstanding performance on a range of image classification problems in various domains. However, their major drawback is that they are 'black box' and opaque ...