Results 221 to 230 of about 24,298 (249)

Leukocyte deep learning classification assessment using Shapley additive explanations algorithm

International Journal of Laboratory Hematology, 2023
AbstractIntroductionA peripheral blood smear is a basic test for hematological disease diagnosis. This test is performed manually in many places worldwide, which requires both time and qualified staff. Large laboratories are equipped with digital morphology analyzers, some of which are based on deep learning methods. However, it is difficult to explain
Adrian Michalski, Konrad Duraj, Bogumiła Kupcewicz   +2 more
openaire   +2 more sources

SHapley Additive exPlanations for Machine Emotion Intelligence in CNNs

With the rise of Artificial Intelligence (AI), the inclusion of emotion recognition in Machine Emotion Intelligence (MEI) has revolutionized Human–Computer Interaction (HCI). However, using Convolutional Neural Network (CNN) for emotion recognition presents a significant obstacle due to their inherent opacity.
Kirabo, Calvin, Murindanyi, Sudi, Kirabo, Nakalembe Patricia, Hasib, Khan Md, Marvin, Ggaliwango, Tiwari, Ritu, Saraswat, Mukesh, Pavone, Mario   +7 more
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An Empirical Evaluation of Shapley Additive Explanations: A Military Implication

2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2023
Trupthi Rao, Sonali Agarwal, Navjot Singh   +2 more
openaire   +1 more source

Shapley Additive Explanations for Traveling Wave-based Protection on Distribution Systems

2022 North American Power Symposium (NAPS), 2022
Miguel Jimenez Aparicio, Matthew Reno, Felipe Wilches-Bernal   +2 more
openaire   +1 more source

Interpretability of SurvivalBoost upon Shapley Additive Explanation value on medical data

Communications in Statistics - Simulation and Computation, 2022
Yating Wang, Jinxia Su, Xuejing Zhao
openaire   +1 more source

Shapley Additive Explanations (SHAP) for Average Attributions

2021
Przemyslaw Biecek, Tomasz Burzykowski
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Shapley Additive Explanations for Knowledge Discovery in Aerodynamic Shape Optimization

AIAA SCITECH 2023 Forum, 2023
Satoshi Takanashi, Shinsuke Nishimura, Kaoruko Eto, Keita Hatanaka   +3 more
openaire   +1 more source

Understanding Student Success Prediction Using SHapley Additive exPlanations

2023 International Scientific Conference on Computer Science (COMSCI), 2023
Berat Ujkani, Daniela Minkovska, Ognyan Nakov   +2 more
openaire   +1 more source

Predicting and Analyzing Road Traffic Injury Severity Using Boosting-Based Ensemble Learning Models with SHAPley Additive exPlanations

International Journal of Environmental Research and Public Health, 2022
Ji-Biao Zhou, Dong Sheng, Afaq Khattak   +2 more
exaly  

Factor analysis based on SHapley Additive exPlanations for sepsis-associated encephalopathy in ICU mortality prediction using XGBoost — a retrospective study based on two large database

Frontiers in Neurology, 2023
Jun Lyu, Hongtao Cheng, Cheng Hongtao
exaly