🧠 AI Attribution - daniel

Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

🔐Privacy Engineering Academic

arxiv.org·

From Network Experience to Subscriber Retention: An Explainable AI Framework for Mobile Operators

🕸️Identity Graphs Academic

arxiv.org·

From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment

📊Marketing Analytics Academic

arxiv.org·

ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding

🕸️Identity Graphs Academic

arxiv.org·

Aumann-SHAP: The Geometry of Counterfactual Interaction Explanations in Machine Learning

🕸️Identity Graphs Academic

arxiv.org·

AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation

🔐Privacy Engineering Academic

arxiv.org·

Physics-Guided Dual Decoding and Spectral Supervision for Global 3D Hydrometeor Prediction

📊Marketing Analytics Academic

arxiv.org·

Metamorphic Testing with the Rashomon Set: Explanation Faithfulness in Machine Learning

🕸️Identity Graphs Academic

arxiv.org·

How the interpolation of life tables affects the decomposition of life insurance surplus

⚡Header Bidding Academic

arxiv.org·

When Three-Dimensional Conformer Ensembles Improve Molecular Property Prediction Beyond Two-Dimensional Fingerprints: A Systematic Study

🔐Privacy Engineering Academic

arxiv.org·

Personalized Deep Learning for Short-Term Forecasting of Impending Atrial Fibrillation from Continuous Wearable ECG Signals

🕸️Identity Graphs Academic

arxiv.org·

Data valuation model for non-monetary exchanges

⚡Header Bidding Academic

arxiv.org·

What Do Deepfake Speech Detectors Actually Hear?

Decoding Naturalistic Emotion Dynamics from the Brain: An LLM-Enhanced Regression Framework

XtrAIn: Training-Guided Occlusion for Feature Attribution

Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

From Network Experience to Subscriber Retention: An Explainable AI Framework for Mobile Operators

From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment

ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding

Aumann-SHAP: The Geometry of Counterfactual Interaction Explanations in Machine Learning

AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation

Physics-Guided Dual Decoding and Spectral Supervision for Global 3D Hydrometeor Prediction

Metamorphic Testing with the Rashomon Set: Explanation Faithfulness in Machine Learning

How the interpolation of life tables affects the decomposition of life insurance surplus

When Three-Dimensional Conformer Ensembles Improve Molecular Property Prediction Beyond Two-Dimensional Fingerprints: A Systematic Study

Personalized Deep Learning for Short-Term Forecasting of Impending Atrial Fibrillation from Continuous Wearable ECG Signals

Data valuation model for non-monetary exchanges