Cover Image

ShapDBM: Exploring Decision Boundary Maps in Shapley Space

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Watkin, Luke, Archambault, Daniel, Telea, Alex
Format:	Preprint
Published:	2026
Subjects:	Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
by: Chatzimparmpas, Angelos, et al.
Published: (2023)

LCIP: Loss-Controlled Inverse Projection of High-Dimensional Image Data
by: Wang, Yu, et al.
Published: (2026)

ShaRP: Shape-Regularized Multidimensional Projections
by: Machado, Alister, et al.
Published: (2023)

Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)

TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic
by: Feng, Zezheng, et al.
Published: (2024)

Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework
by: Metz, Yannick, et al.
Published: (2024)

Decoupling Judgment and Decision Making: A Tale of Two Tails
by: Oral, Başak, et al.
Published: (2023)

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
by: Yeh, Catherine, et al.
Published: (2024)

VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
by: Chatzimparmpas, Angelos, et al.
Published: (2021)

Improving Human Sequential Decision-Making with Reinforcement Learning
by: Bastani, Hamsa, et al.
Published: (2021)

Conformal Prediction Sets Improve Human Decision Making
by: Cresswell, Jesse C., et al.
Published: (2024)

Leveraging Expert Consistency to Improve Algorithmic Decision Support
by: De-Arteaga, Maria, et al.
Published: (2021)

Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
by: Silva, Inês Oliveira e, et al.
Published: (2026)

Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?
by: Khalid, Adia, et al.
Published: (2025)

Into the Void: Mapping the Unseen Gaps in High Dimensional Data
by: Zhang, Xinyu, et al.
Published: (2025)

Exploring Emotions in Multi-componential Space using Interactive VR Games
by: Somarathna, Rukshani, et al.
Published: (2024)

Investigating Labeler Bias in Face Annotation for Machine Learning
by: Haliburton, Luke, et al.
Published: (2023)

A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems
by: Gambetti, Alessandro, et al.
Published: (2025)

SmartAlert: Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Lab Utilization Reduction
by: Liang, April S., et al.
Published: (2025)

A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams
by: Tariq, Shahroz, et al.
Published: (2024)

Driving Safety Prediction and Safe Route Mapping Using In-vehicle and Roadside Data
by: Huang, Yufei, et al.
Published: (2022)

Seeing the Many: Exploring Parameter Distributions Conditioned on Features in Surrogates
by: Wang, Xiaohan, et al.
Published: (2025)

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation
by: Chen, Juntong, et al.
Published: (2025)

Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis
by: Barbu, Eduard, et al.
Published: (2024)

Exploring Eye Tracking to Detect Cognitive Load in Complex Virtual Reality Training
by: Nasri, Mahsa, et al.
Published: (2024)

Multi-Domain EEG Representation Learning with Orthogonal Mapping and Attention-based Fusion for Cognitive Load Classification
by: Angkan, Prithila, et al.
Published: (2025)

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors
by: Lam, Michelle S., et al.
Published: (2024)

Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Education
by: Lekshmi-Narayanan, Arun-Balajiee, et al.
Published: (2026)

Uncovering Patterns of Brain Activity from EEG Data Consistently Associated with Cybersickness Using Neural Network Interpretability Maps
by: Yau, Jacqueline, et al.
Published: (2025)

Sequential Decision-Making for Inline Text Autocomplete
by: Chitnis, Rohan, et al.
Published: (2024)

Human-Aligned Calibration for AI-Assisted Decision Making
by: Benz, Nina L. Corvelo, et al.
Published: (2023)

SolarGPT-QA: A Domain-Adaptive Large Language Model for Educational Question Answering in Space Weather and Heliophysics
by: Chapagain, Santosh, et al.
Published: (2026)

GFlowState: Visualizing the Training of Generative Flow Networks Beyond the Reward
by: Holeczek, Florian, et al.
Published: (2026)

Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework
by: Alur, Rohan, et al.
Published: (2024)

From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling
by: Gahtan, Barak, et al.
Published: (2025)

Predicting User Experience on Laptops from Hardware Specifications
by: Padhi, Saswat, et al.
Published: (2024)

A Framework for Evaluating LLMs Under Task Indeterminacy
by: Guerdan, Luke, et al.
Published: (2024)

WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring
by: Gahtan, Barak, et al.
Published: (2024)

Integrating Semantic Communication and Human Decision-Making into an End-to-End Sensing-Decision Framework
by: Beck, Edgar, et al.
Published: (2024)

Exploring the impact of virtual reality user engagement on tourist behavioral response integrated an environment concern of touristic travel perspective: A new hybrid machine learning approach
by: Shang, D. W.
Published: (2024)