Search Results - "SHapley additive explanations"

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Predictive Analytics: A Machine Learning Approach for Insights in Food Production and Sales

Sivakumar, Parikshith, Elango, Aditya, Sai, Puvvada Charan, C., Jyotsna

2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF)

Enhancing Recurrent Neural Networks for Stock Market Forecasts Through Pec-W Framework

Caliskan, Busra

2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CiFer)

Enhancing Interpretability: The Role of Explainable AI in Healthcare Diagnostics

Zade, Nikita, Langote, Meher, Verma, Prateek

2025 International Conference on Electronics and Renewable Systems (ICEARS)

Automated Kidney Anomaly Detection Using Deep Learning and Explainable AI Techniques

Sankar Reddy, Bobba Siva, Laxmi Prathyusha, Nelluru, Karthik, Dhulipudi Venkata, Vishnukanth, Kayala, Kumar Sistla, Venkatrama Phani, Krishna Kishore Kolli, Venkata

2025 International Conference on Pervasive Computational Technologies (ICPCT)

Transparent AI Solutions for Parkinson’s Disease Diagnosis and Monitoring: A Multimodal Deep Learning Approach

Praveena, S.G., Basha, C. H. Hussaian, Senthilkumar, S., Muthaiyan, R., Dinesh, E., Kavitha, M.

2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN)

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Explainable AI-Guided Optimization of EMG Channels and Features for Precise Hand Gesture Classification: A SHAP-Based Study

Rani, P., Pancholi, S., Shaw, V., Pandey, S., Atzori, M., Kumar, S.

Exploring Consistent Feature Selection for Software Fault Prediction: An XAI-Based Model-Agnostic Approach

Khan, A., Ali, A., Khan, J., Ullah, F., Faheem, M.

UAVINE-XAI: eXplainable AI-Based Spectral Band Selection for Vineyard Monitroting Using UAV Hyperspectral Data

Kourounioti, O., Temenos, A., Temenos, N., Oikonomou, E., Doulamis, A., Doulamis, N.

Fraud Detection on Crowdfunding Platforms Using Multiple Feature Selection Methods

Lee, S., Park, H., Kim, H.

Interpretable Machine Learning Models for PISA Results in Mathematics

Gomez-Talal, I., Bote-Curiel, L., Luis Rojo-Alvarez, J.

A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance

Dayal, A., Khan, Z., Ullah, K., Kim, H.

IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning

Jalal, A., Khan, D., Sadiq, T., Alotaibi, M., Refa Alotaibi, S., Aljuaid, H., Rahman, H.

A Comparative Study of Model Interpretability Considering the Decision Differentiation of Landslide Susceptibility Models

Lv, L., Chen, T., Liu, G., Dou, J., Plaza, A.

Do Different Urban Morphologies Have Consistent Patterns on Urban Heat Islands in Different Cities and Scales? A Local Climate Zone Exploration

Yu, H., Zhang, C., Yu, L.

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.

An Improved and Explainable Electricity Price Forecasting Model via SHAP-Based Error Compensation Approach

Heistrene, L., Belikov, J., Baimel, D., Katzir, L., Machlev, R., Levy, K., Mannor, S., Levron, Y.