First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution

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Figure 9 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
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Figure 15 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
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Publié: (2026)

Figure 8 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
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Explainable Artificial Intelligence
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Diabetes Prediction Modeling Using XGBoost Ensemble Learning with SHAP Explainability: A Machine Learning Approach on the Pima Indians Diabetes Dataset
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Publié: (2026)

An approach to Recognizing Textual Entailment and TE Search Task using SVM
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Publié: (2010)

Physics-Informed Stacking Ensemble for Simultaneous Prediction of Surface Roughness and Sound Pressure Level in VBD Marble Milling — Dataset and Code
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Automated ESG Prediction through Artificial Intelligence: A Literature-Driven Empirical Synthesis and Framework for Future Research
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Data for: Artificial Intelligence in Decision Support Systems - A Systematic Review
par: Ashaqzai, Suliman
Publié: (2026)

Analyzing the Predictive Power of Machine Learning Models for Autism Detection
par: Santos, Dheiver Francisco
Publié: (2023)

Financial infrastructure outreach to indigenous peoples: a three approaches exploration for Colombia, Ecuador, and Peru
par: Claudio González-Vega
Publié: (2025)

Advances in Microgrid Load Prediction: A Hybrid Approach with R and Cortana Intelligence Suite
par: Alessandro Marini and Matteo Bianchi
Publié: (2021)

EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR PERSONALIZED RECOMMENDER SYSTEMS USING DEEP LEARNING MODEL
par: Dr. Deepjyoti Roy, Prof. Dr. Rohini Pundalik Onkare, Muthumari, Amit S. Tiwari, Shah Rakesh Jagdishchandra, Amartya Ghosh, Dr. Nagendra Nath Giri
Publié: (2026)

Classification Models Analysis for Stroke Prediction
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Publié: (2023)

A New Phono-Articulatory Feature Representation for Language Identification in a Discriminative Framework
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A Overview Of Current Approaches And Applications For Explainable AI In Alzheimer's Detection
par: Ashwini Pujari*, Manasi Rajput, Shruti Patil
Publié: (2025)

Premature ventricular contraction recognition using blind source separation and ensemble gaussian naive bayes weighted by analytic hierarchy process
par: Bruno Rodrigues de Oliveira
Publié: (2022)

AI-Based Radio Frequency Interference Signals Detection and Classification
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Publié: (2026)

The Explanation Fallacy: Why "Faithful Explanations" Cannot Serve as a Governance Primitive for AI Systems
par: Truong, Narnaiezzsshaa
Publié: (2026)

Customer Personality Prediction using the Ensemble Technique
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Publié: (2021)

Holistic corpus-based dialectology
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GeoClimate-FusionLLM: Explainable Multi-Modal Environmental Early-Warning Pipeline
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Publié: (2026)

ROBUST FEATURE SELECTION IN MULTIVARIATE TIME SERIES CLASSIFICATION: AN EMPIRICAL BENCHMARKING OF GINI, PERMUTATION, AND SHAP
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Publié: (2026)

LOG-DRIVEN COUNTERFACTUAL EXPLANATIONS FOR CYBER INCIDENTS IN SIEM PIPELINES
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Publié: (2026)

Enhancing Multi–Class Prediction of Skin Lesions with Feature Importance Assessment
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A Token-Based Model for Structural Analysis and Quantification of Personal Learning Weight Patterns (TELOWAQ)
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HEFS-EXR: A Robust Hybrid Ensemble Feature Selection Algorithm
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Assessing the behavior of machine learning methods to predict the activity of antimicrobial peptides
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Interpretability in the Field of Plant Disease Detection: A Review
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