Pushing the Boundaries of Interpretability: Incremental Enhancements to the Explainable Boosting Machine
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Liyanage, Isara, Thayasivam, Uthayasanker |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
TS2Vec-Ensemble: An Enhanced Self-Supervised Framework for Time Series Forecasting
par: Niroshan, Ganeshan, et autres
Publié: (2025)
par: Niroshan, Ganeshan, et autres
Publié: (2025)
A Novel Multi-branch ConvNeXt Architecture for Identifying Subtle Pathological Features in CT Scans
par: Perera, Irash, et autres
Publié: (2025)
par: Perera, Irash, et autres
Publié: (2025)
Enhancing Multi-Label Thoracic Disease Diagnosis with Deep Ensemble-Based Uncertainty Quantification
par: Laksara, Yasiru, et autres
Publié: (2025)
par: Laksara, Yasiru, et autres
Publié: (2025)
TBT-Former: Learning Temporal Boundary Distributions for Action Localization
par: Rathnayaka, Thisara, et autres
Publié: (2025)
par: Rathnayaka, Thisara, et autres
Publié: (2025)
Team-Aware Football Player Tracking with SAM: An Appearance-Based Approach to Occlusion Recovery
par: Ranasinghe, Chamath, et autres
Publié: (2025)
par: Ranasinghe, Chamath, et autres
Publié: (2025)
Attack-Specialized Deep Learning with Ensemble Fusion for Network Anomaly Detection
par: Dissanayake, Nisith, et autres
Publié: (2025)
par: Dissanayake, Nisith, et autres
Publié: (2025)
Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines
par: Yousif, Yasin, et autres
Publié: (2024)
par: Yousif, Yasin, et autres
Publié: (2024)
Statistical Inference for Explainable Boosting Machines
par: Fang, Haimo, et autres
Publié: (2026)
par: Fang, Haimo, et autres
Publié: (2026)
GPS-2-GTFS: A Python package to process and transform raw GPS data of public transit to GTFS format
par: Ratneswaran, Shiveswarran, et autres
Publié: (2024)
par: Ratneswaran, Shiveswarran, et autres
Publié: (2024)
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
par: Salmanian, Parisa, et autres
Publié: (2024)
par: Salmanian, Parisa, et autres
Publié: (2024)
Pushing Boundaries: Mixup's Influence on Neural Collapse
par: Fisher, Quinn, et autres
Publié: (2024)
par: Fisher, Quinn, et autres
Publié: (2024)
Investigating the Duality of Interpretability and Explainability in Machine Learning
par: Garouani, Moncef, et autres
Publié: (2025)
par: Garouani, Moncef, et autres
Publié: (2025)
On the Relationship Between Interpretability and Explainability in Machine Learning
par: Leblanc, Benjamin, et autres
Publié: (2023)
par: Leblanc, Benjamin, et autres
Publié: (2023)
Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance
par: Krùpovà, Markéta, et autres
Publié: (2025)
par: Krùpovà, Markéta, et autres
Publié: (2025)
Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification
par: Cao, Chuxue, et autres
Publié: (2026)
par: Cao, Chuxue, et autres
Publié: (2026)
Improving Credit Card Fraud Detection with an Optimized Explainable Boosting Machine
par: Fazel, Reza E., et autres
Publié: (2026)
par: Fazel, Reza E., et autres
Publié: (2026)
A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection
par: Subasi, Omer, et autres
Publié: (2024)
par: Subasi, Omer, et autres
Publié: (2024)
A Machine Learning Based Explainability Framework for Interpreting Swarm Intelligence
par: Gupta, Nitin, et autres
Publié: (2025)
par: Gupta, Nitin, et autres
Publié: (2025)
Pushing the Boundaries of State Space Models for Image and Video Generation
par: Hong, Yicong, et autres
Publié: (2025)
par: Hong, Yicong, et autres
Publié: (2025)
EngageTriBoost: Predictive Modeling of User Engagement in Digital Mental Health Intervention Using Explainable Machine Learning
par: Cho, Ha Na, et autres
Publié: (2026)
par: Cho, Ha Na, et autres
Publié: (2026)
Data Science Principles for Interpretable and Explainable AI
par: Sankaran, Kris
Publié: (2024)
par: Sankaran, Kris
Publié: (2024)
On the Nonconvexity of Push-Forward Constraints and Its Consequences in Machine Learning
par: de Lara, Lucas, et autres
Publié: (2024)
par: de Lara, Lucas, et autres
Publié: (2024)
Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review
par: Mehdiyev, Nijat, et autres
Publié: (2023)
par: Mehdiyev, Nijat, et autres
Publié: (2023)
Knowledge-Guided Machine Learning: Illustrating the use of Explainable Boosting Machines to Identify Overshooting Tops in Satellite Imagery
par: Mitchell, Nathan, et autres
Publié: (2025)
par: Mitchell, Nathan, et autres
Publié: (2025)
Effective Decision Boundary Learning for Class Incremental Learning
par: Li, Kunchi, et autres
Publié: (2023)
par: Li, Kunchi, et autres
Publié: (2023)
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction
par: Ali, Raja Farrukh, et autres
Publié: (2024)
par: Ali, Raja Farrukh, et autres
Publié: (2024)
Seeking Interpretability and Explainability in Binary Activated Neural Networks
par: Leblanc, Benjamin, et autres
Publié: (2022)
par: Leblanc, Benjamin, et autres
Publié: (2022)
Incremental Gauss-Newton Descent for Machine Learning
par: Korbit, Mikalai, et autres
Publié: (2024)
par: Korbit, Mikalai, et autres
Publié: (2024)
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting
par: Little, Camille Olivia, et autres
Publié: (2024)
par: Little, Camille Olivia, et autres
Publié: (2024)
Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models
par: Kridel, Donald, et autres
Publié: (2024)
par: Kridel, Donald, et autres
Publié: (2024)
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs
par: Aggarwal, Shivam, et autres
Publié: (2023)
par: Aggarwal, Shivam, et autres
Publié: (2023)
Adapting Multimodal Foundation Models for Few-Shot Learning: A Comprehensive Study on Contrastive Captioners
par: Narasinghe, N. K. B. M. P. K. B., et autres
Publié: (2025)
par: Narasinghe, N. K. B. M. P. K. B., et autres
Publié: (2025)
Back to Supervision: Boosting Word Boundary Detection through Frame Classification
par: Carnemolla, Simone, et autres
Publié: (2024)
par: Carnemolla, Simone, et autres
Publié: (2024)
Probing then Editing: A Push-Pull Framework for Retain-Free Machine Unlearning in Industrial IoT
par: Chen, Jiao, et autres
Publié: (2025)
par: Chen, Jiao, et autres
Publié: (2025)
Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
par: Acero, Fernando, et autres
Publié: (2024)
par: Acero, Fernando, et autres
Publié: (2024)
An Explainable Pipeline for Machine Learning with Functional Data
par: Goode, Katherine, et autres
Publié: (2025)
par: Goode, Katherine, et autres
Publié: (2025)
Rethinking Explainable Machine Learning as Applied Statistics
par: Bordt, Sebastian, et autres
Publié: (2024)
par: Bordt, Sebastian, et autres
Publié: (2024)
Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection
par: Xu, Luosheng, et autres
Publié: (2025)
par: Xu, Luosheng, et autres
Publié: (2025)
Transparent AI: The Case for Interpretability and Explainability
par: Ramachandram, Dhanesh, et autres
Publié: (2025)
par: Ramachandram, Dhanesh, et autres
Publié: (2025)
An Explainable and Interpretable Composite Indicator Based on Decision Rules
par: Corrente, Salvatore, et autres
Publié: (2025)
par: Corrente, Salvatore, et autres
Publié: (2025)
Documents similaires
-
TS2Vec-Ensemble: An Enhanced Self-Supervised Framework for Time Series Forecasting
par: Niroshan, Ganeshan, et autres
Publié: (2025) -
A Novel Multi-branch ConvNeXt Architecture for Identifying Subtle Pathological Features in CT Scans
par: Perera, Irash, et autres
Publié: (2025) -
Enhancing Multi-Label Thoracic Disease Diagnosis with Deep Ensemble-Based Uncertainty Quantification
par: Laksara, Yasiru, et autres
Publié: (2025) -
TBT-Former: Learning Temporal Boundary Distributions for Action Localization
par: Rathnayaka, Thisara, et autres
Publié: (2025) -
Team-Aware Football Player Tracking with SAM: An Appearance-Based Approach to Occlusion Recovery
par: Ranasinghe, Chamath, et autres
Publié: (2025)