Health condition monitoring of a complex hydraulic system using Deep Neural Network and DeepSHAP explainable XAI
AT Keleko, B Kamsu-Foguem, RH Ngouna… - Advances in Engineering …, 2023 - Elsevier
This paper presents a detailed framework for Condition Monitoring (CM) based on hydraulic
systems and multi-sensor data. Nowadays, the CM technique is increasingly deployed for …
systems and multi-sensor data. Nowadays, the CM technique is increasingly deployed for …
Cost-effective valuable data detection based on the reliability of artificial intelligence
H Kim, Y Lee, E Lee, T Lee - IEEE Access, 2021 - ieeexplore.ieee.org
Many previous studies have investigated applying artificial intelligence (AI) to cyber security.
Despite considerable performance advantages, AI for cyber security requires final …
Despite considerable performance advantages, AI for cyber security requires final …
SurvBeX: an explanation method of the machine learning survival models based on the Beran estimator
An explanation method called SurvBeX is proposed to interpret predictions of the machine
learning survival black-box models. The main idea behind the method is to use the modified …
learning survival black-box models. The main idea behind the method is to use the modified …
Ensembles of random SHAPs
L Utkin, A Konstantinov - Algorithms, 2022 - mdpi.com
The ensemble-based modifications of the well-known SHapley Additive exPlanations
(SHAP) method for the local explanation of a black-box model are proposed. The …
(SHAP) method for the local explanation of a black-box model are proposed. The …
Interpretable ensembles of hyper-rectangles as base models
AV Konstantinov, LV Utkin - Neural Computing and Applications, 2023 - Springer
A new extremely simple ensemble-based model with the uniformly generated axis-parallel
hyper-rectangles as base models (HRBM) is proposed. Two types of HRBMs are studied …
hyper-rectangles as base models (HRBM) is proposed. Two types of HRBMs are studied …
Combined network analysis and interpretable machine learning reveals the environmental adaptations of more than 10,000 ruminant microbial genomes
Y Yan, T Shi, X Bao, Y Gai, X Liang, Y Jiang… - Frontiers in …, 2023 - frontiersin.org
Background The ruminant gastrointestinal contains numerous microbiomes that serve a
crucial role in sustaining the host's productivity and health. In recent times, numerous studies …
crucial role in sustaining the host's productivity and health. In recent times, numerous studies …
Dual feature-based and example-based explanation methods
AV Konstantinov, BV Kozlov, SR Kirpichenko… - arXiv preprint arXiv …, 2024 - arxiv.org
A new approach to the local and global explanation is proposed. It is based on selecting a
convex hull constructed for the finite number of points around an explained instance. The …
convex hull constructed for the finite number of points around an explained instance. The …
Attention-like feature explanation for tabular data
AV Konstantinov, LV Utkin - International Journal of Data Science and …, 2023 - Springer
A new method for local and global explanation of the machine learning black-box model
predictions by tabular data is proposed. It is implemented as a system called AFEX …
predictions by tabular data is proposed. It is implemented as a system called AFEX …
The Relationship of Behavioral, Social and Diabetes Factors with LVEF Measured Using Machine Learning Techniques
CA Soysaler, CL Andrei, O Ceban, CJ Sinescu - Applied Sciences, 2022 - mdpi.com
Purpose: Using a data and machine learning approach, from classical to complex, we aim to
approximate the relationship between factors such as behavioral, social or comorbidity and …
approximate the relationship between factors such as behavioral, social or comorbidity and …
Deep Learning for anomaly detection in industry 4.0
AK Teguede - 2022 - theses.hal.science
Industry 4.0 (I4. 0) corresponds to a new way of planning, organizing, and optimizing
production. Therefore, the increasing exploitation of production systems through the …
production. Therefore, the increasing exploitation of production systems through the …