Results 251 to 260 of about 25,341,143 (317)

Explainable Machine Learning for Nomophobia Prediction: Insights through SHAP Analysis

2025 13th International Conference on Intelligent Embedded, MicroElectronics, Communication and Optical Networks (IEMECON)
The fear or anxiety of not having access to a mobile phone or its services, known as nomophobia, is becoming more and more common and has serious social and psychological repercussions.
Yashasvi Chhaliya, Palak Sharma, Tapas Si, Ashutosh Singh   +3 more
semanticscholar   +1 more source

Advancing soil moisture retrieval from SAR data using meta-heuristic optimization XGBoost and SHAP analysis

International Journal of Remote Sensing
Accurate soil moisture (SM) retrieval from synthetic aperture radar (SAR) data presents persistent challenges due to complex surface–signal interactions and optimization difficulties in machine learning approaches.
Chenglei Hou, Mou Leong Tan, Z. Yaseen, Fei Zhang   +3 more
semanticscholar   +1 more source

FRAM-SHAP: Framework for Combined Evaluation Metrics through SHAP Analysis

International Conferences on Biological Information and Biomedical Engineering
There is growing interest in applying statistical and deep learning-based imputation techniques to address missing values in physiological time series data.
Vaibhav Gupta, Florian Grensing, L. Boom, Maria Maleshkova   +3 more
semanticscholar   +1 more source

Explainable AI for Incident Prediction in SRE: Analysis Using SHAP

Modern Site Reliability Engineering (SRE) and DevOps systems increasingly utilize machine learning (ML) to predict incidents, detect anomalies in logs, and improve infras- tructure resilience. However, high predictive accuracy often comes with a cost of model interpretability, leading to black-box behavior.
Safronov, Alexander Anatolievich, Saradzhishvili, Sergey Erikovich   +1 more
openaire   +1 more source

A Cross-Cultural Crash Pattern Analysis in the United States and Jordan Using BERT and SHAP

Electronics
Understanding the cultural and environmental influences on roadway crash patterns is essential for designing effective prevention strategies. This study applies advanced AI techniques, including Bidirectional Encoder Representations from Transformers ...
Shadi Jaradat, M. Elhenawy, Alexander Paz, T. Alhadidi, Huthaifa I. Ashqar, Richi Nayak   +5 more
semanticscholar   +1 more source

Explainable AI for Forensic Analysis: A Comparative Study of SHAP and LIME in Intrusion Detection Models

Applied Sciences
The lack of interpretability in AI-based intrusion detection systems poses a critical barrier to their adoption in forensic cybersecurity, which demands high levels of reliability and verifiable evidence.
Pamela Hermosilla, Sebastián Berríos, Héctor Allende-Cid   +2 more
semanticscholar   +1 more source

Noise robustness analysis of Shapley value for Deep SHAP

Journal of Korean Institute of Intelligent Systems, 2023
Hye-Ju Han, Yeon-Soo Kim, Jae-Won Shim, Hye-Young Jung   +3 more
openaire   +1 more source

Enterprise Financial Distress Prediction Based on Machine Learning and SHAP Interpretability Analysis

Proceedings of the 2025 International Conference on Artificial Intelligence and Digital Finance
Enterprise financial distress prediction is a crucial aspect of financial risk management. Accurately identifying potential financial risks is of significant importance for investors and financial institutions.
Ruolin Qi
semanticscholar   +1 more source

Gastric Cancer Detection using Hybridbased Network and SHAP Analysis

2023
Varanasi L. V. S. K. B. Kasyap, D. Sumathi, Karthika Natarajan   +2 more
openaire   +1 more source

Enhancing winter road maintenance with explainable AI: SHAP analysis for interpreting machine learning models in road friction estimation

Canadian journal of civil engineering (Print)
Effective winter road maintenance relies on precise road friction estimation. Machine learning (ML) models have shown significant promise in this; however, their inherent complexity makes understanding their inner workings challenging.
Xueru Ding, Tae J. Kwon
semanticscholar   +1 more source