Results 71 to 80 of about 29,455 (191)

Corr-SHAP: Correlation-Aware Sampling for Faithful SHAP Value Estimation

Acta Informatica Pragensia
Background: SHapley Additive exPlanations (SHAP) methods are widely used to interpret machine learning models, yet most implementations assume feature independence.
Ridha El Hamdi, Hana Charaabi, Ibtissam Hdhiri, Mohamed Njah   +3 more
doaj   +1 more source

Liver Segmentation Using Modified CAG-SwinUNet with Explainability

Journal of Biomedical Photonics & Engineering
Accurate liver segmentation from computed tomography (CT) images is crucial for clinical applications such as tumor detection and surgical planning but remains challenging due to anatomical complexity and imaging variability.
Kumar S. S., Vinod Kumar R. S., Ranjith V. G.   +2 more
doaj   +1 more source

On Explainability of Cluster Prototypes with Rough Sets: A Case Study in the FMCG Market

International Journal of Applied Mathematics and Computer Science
Despite the growing popularity of machine learning (ML), such solutions are often incomprehensible to employees and difficult to control. Addressing this issue, we discuss some essential problems of explainable ML applications in the fast-moving consumer
Grzegorowski Marek, Janusz Andrzej, Marcinowski Łukasz, Skowron Andrzej, Ślęzak Dominik, Śliwa Grzegorz   +5 more
doaj   +1 more source

XAI for network management

pub
Fiandrino, Claudio, Fernández, Pablo, Fiore, Marco, Widmer, Joerg   +3 more
openaire   +2 more sources

Araucana XAI

, 2023
<p>Open-source implementation for <strong>Araucana XAI</strong>, a novel XAI method for local, model-agnostic, post-hoc explanations presented in <a href="https://www.sciencedirect.com/science/article/pii/S0933365722002238"> ...
Buonocore, Tommaso Mario
core   +1 more source

Predict XAI

International Research Journal of Innovations in Engineering and Technology
Stroke predictors using Explainable Artificial Intelligence (XAI) aim to provide accurate and interpretable stroke risk predictions. This research integrates machine learning models such as Decision Trees, Random Forest, Logistic Regression, and Support Vector Machines, leveraging ensemble learning techniques like stacking and voting to enhance ...
Prof. Ankush Hutke, Kiran Sahu, Ameet Mishra, Aniruddha Sawant, Ruchitha Gowda   +4 more
openaire   +1 more source

Detecting Ineffective Efforts during Expiration for Neonates with Attention RNNs

Current Directions in Biomedical Engineering
Patient-ventilator asynchronies occur during mechanical ventilation when there is a mismatch between the patient’s needs and the ventilator’s settings.
Oprea Camelia, Stegemann Lara, Olivier Lena Sophie, Buglowski Mateusz, Becker Sabine, Orlikowsky Thorsten, Kowalewski Stefan, Schoberer Mark, Stollenwerk André   +8 more
doaj   +1 more source

Artificial intelligence in clinical physiology: System-wise applications in diagnostics, monitoring, and medical education

Journal of Family Medicine and Primary Care
Background: Artificial Intelligence (AI) is gradually revolutionizing clinical physiology by enhancing diagnostic capabilities, fostering real-time monitoring, and enabling personalized medical education.
Chetna Chhabra, Rohit Saroha, Muneeb Kosvi, Soni Singh, Vijay Swarup Gautam, Prabha Kumari   +5 more
doaj   +1 more source

/xai/xai School; Outdoor Class Junior Grades

, 1980
/xai/xai ...
Lee, Richard B.
core   +1 more source

/xai/xai School; Excellent Group Shot (Majority Ju Students) 2

, 1980
/xai/xai ...
Lee, Richard B.
core   +2 more sources