Sökresultat - "SHAP analysis"

Integrating Travel Survey and Amap API Data Into Travel Mode Choice Analysis With Interpretable Machine Learning Models: A Case Study in China

Tang, L., Lin, X., Yu, J., Tang, C.

Deep Learning-Based Real-Time Driver Cognitive Distraction Detection

Fresta, M., Bellotti, F., Bochenko, I., Lazzaroni, L., Merlhiot, G., Tango, F., Berta, R.

Visible Light Modulation of 16-Channel Sensor Arrays for Accurately Discriminating Volatile Sulfur Compounds at Room Temperature

Li, M., Deng, Z., Zhang, R., Chang, J., Fedorov, F.S., Meng, G.

Interpretable Wind Power Prediction: A Machine Learning Perspective Using Lightgbm and SHAP

Yan, Zibo, Zhang, Liulei

2024 2nd International Conference on Artificial Intelligence and Automation Control (AIAC)

Creep Life Prediction for Superalloys Using Gradient Boosting Decision Trees

V, Vijay Krishna R, Dash, Khushbu, Vikram, R J, Mishra, Nachiketa

2024 IEEE 8th International Conference on Information and Communication Technology (CICT)

Predictive Modeling of Compressive Strength in Coconut Shell-Embedded Concrete Using Ensemble Regression Models

Tipu, Rupesh Kumar, Ahmad Shah, Owais, Vats, Satvik, Tomar, Arjit, Ahmed Khan, Imran, Whig, Pawan, Babar Ali, Kunwar, Verma, Aditya

2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS)

Empowering Young Adults: The Impact of Soft Skills Ventured through XGBoost and SHAP Analysis

George, Angelina, Anand, Rahul

2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS)

Interpretability of Machine Learning Models in Delivery Time Predictions

Satici, Serhat Agit, Kalkan, Habil

2024 9th International Conference on Computer Science and Engineering (UBMK)

A Comparative Study of Machine Learning Approaches for Diabetes Risk Prediction: Insights from SHAP and Feature Importance

Liu, Zheyan, Zhang, Qimin, Zheng, Huili, Chen, Shaohan, Gong, Yiru

2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)

Combination of Density Functional Theory and Machine Learning Provides Deeper Insight of the Underlying Mechanism in the Ultraviolet/Persulfate System

Liang, Jialiang^aff1, Wang, Dudan^aff1, Zhen, Peng^aff1, Wu, Jingke^aff1, Li, Yunyi^aff1, Liu, Fuyang^aff2, Shen, Yun^aff3, Tong, Meiping^aff2

Select Priority Villages for Investments on Rural Sewage Treatment in Chinese Provinces

Meng, Wenjing^aff1, Jiang, Jiping^aff1, Hu, Xiao^aff1, Tang, Sijie^aff1, Xia, Xunfeng^aff2, Jian, Qiuhua^aff1, Wang, Wenzhao^aff3, Liu, Fengge^aff4, Yang, Ruiyi^aff1, Zheng, Yi^aff1

Automatic Sitting Posture Recognition in Wheelchair Users: An AI-driven Pilot Study

Harrou, Fouzi, Dorbane, Abdelhakim, Sun, Ying

2024 9th International Conference on Frontiers of Signal Processing (ICFSP)

Comparative SHAP Analysis on SVM and K-NN: Impacts of Hyperparameter Tuning on Model Explainability

Boukrouh, Ikhlass, Tayalati, Faouzi, Azmani, Abdellah

2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)

AI Data-Driven Based In-Depth Interpretation and Inverse Design for Hydrogen Yield from Biogas Direct Reforming

Ding, Chuan^{aff1, aff3}, Zhang, Yi^aff2, Lu, Beini^aff3, Feng, Yijing^aff3, Li, Wenhan^aff4, Peng, Jianfeng^aff6, Huang, Hanlin^aff5, Cheng, Zinuo^aff3, Li, Lin^aff3, Li, Yeqing^{aff1, aff3}, Feng, Lu^aff8, Zhou, Hongjun^aff1, Xu, Chunming^{aff1, aff7}

A Hybrid Approach of Invasion Detection System for Advanced Security in Wireless Networks with Real-Time Threat Detection and API Integration

Perni, Devi Divya Sri, Neelima, N, Aluri, Charan

2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)

An Explainable AI Model for Student Engagement in Tablet Learning

Mohan, Akshay, Mathew, Merin, Malavika, K., Gutjahr, Georg, Menon, Radhika, Nedungadi, Prema

2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS)

Analyzing the Influence of Source/Drain Growth Height and Lateral Growth Depth in FinFETs Through XGBoost and SHAP

Won Lee, S., Jun Ban, H., Kyung Park, J., Jin Ji, D., Ki Hong, S.

Integrated deep learning and Bayesian optimization approach for enhanced prediction of high-performance concrete strength

Tipu, Rupesh Kumar^{Aff1, IDs4210702501313y_cor1}, Goyal, Archna, Singh, Digvijay, Kumar, Ayyala Kishore Ajay

Enhancing Hydrogen Energy Consumption Prediction Based on Stacked Machine Learning Model with Shapley Additive Explanations

Elshewey, Ahmed M.^{Aff1, IDs41660025005392_cor1}, Hassan, Samah A. Z., Youssef, Rasha Y., El-Bakry, Hazem M., Osman, Ahmed M.^{Aff2, Aff3}

Soil classification revolutionized: A hybrid transfer learning approach with SHAP analysis

Raju, Chetan^{Aff1, IDs11042025208989_cor1}, Ashoka, D V^Aff1, B V, Ajay Prakash^Aff2