Cover Image

Towards Biomarker Discovery for Early Cerebral Palsy Detection: Evaluating Explanations Through Kinematic Perturbations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pellano, Kimji N., Strümke, Inga, Groos, Daniel, Adde, Lars, Haugen, Pål, Ihlen, Espen Alexander F.
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy
by: Pellano, Kimji N., et al.
Published: (2024)

From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition
by: Pellano, Kimji N., et al.
Published: (2024)

Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity Recognition
by: Tempel, Felix, et al.
Published: (2024)

Lightweight Neural Architecture Search for Cerebral Palsy Detection
by: Tempel, Felix, et al.
Published: (2024)

Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative Measures
by: Tempel, Felix, et al.
Published: (2024)

AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search
by: Tempel, Felix, et al.
Published: (2024)

XMTC: Explainable Early Classification of Multivariate Time Series in Reach-to-Grasp Hand Kinematics
by: Gol, Reyhaneh Sabbagh, et al.
Published: (2025)

State Anxiety Biomarker Discovery: Electrooculography and Electrodermal Activity in Stress Monitoring
by: Dao, Jadelynn, et al.
Published: (2024)

CellScout: Visual Analytics for Mining Biomarkers in Cell State Discovery
by: Sheng, Rui, et al.
Published: (2025)

Evaluating the False Trust Engendered by LLM Explanations
by: Palod, Vardhan, et al.
Published: (2026)

Explanations as Dialogues: Toward Human-Centered Conversational Explainable AI
by: Mathur, Niharika, et al.
Published: (2026)

Evaluating the Influences of Explanation Style on Human-AI Reliance
by: Casolin, Emma, et al.
Published: (2024)

Cogniscope: Modeling Social Media Interactions as Digital Biomarkers for Early Detection of Cognitive Decline
by: Drishti, Ananya, et al.
Published: (2025)

Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions
by: Bhattacharya, Aditya
Published: (2023)

SUBPLEX: Towards a Better Understanding of Black Box Model Explanations at the Subpopulation Level
by: Yuan, Jun, et al.
Published: (2020)

Real-Time Kinematic Positioning and Optical See-Through Head-Mounted Display for Outdoor Tracking: Hybrid System and Preliminary Assessment
by: Ismael, Muhannad, et al.
Published: (2025)

With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations
by: Waterschoot, Cedric, et al.
Published: (2025)

Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery
by: Wang, Yifang, et al.
Published: (2026)

Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes
by: Chen, Haoyang, et al.
Published: (2026)

Evaluating Saliency Explanations in NLP by Crowdsourcing
by: Lu, Xiaotian, et al.
Published: (2024)

From Interaction to Impact: Towards Safer AI Agents Through Understanding and Evaluating Mobile UI Operation Impacts
by: Zhang, Zhuohao Jerry, et al.
Published: (2024)

Do ATCOs Need Explanations, and Why? Towards ATCO-Centered Explainable AI for Conflict Resolution Advisories
by: Fennedy, Katherine, et al.
Published: (2025)

SmartEx: A Framework for Generating User-Centric Explanations in Smart Environments
by: Sadeghi, Mersedeh, et al.
Published: (2024)

UNIPO: Unified Interactive Visual Explanation for RL Fine-Tuning Policy Optimization
by: Cho, Aeree, et al.
Published: (2026)

Evaluating Readability and Faithfulness of Concept-based Explanations
by: Li, Meng, et al.
Published: (2024)

EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations
by: Bhattacharya, Aditya, et al.
Published: (2024)

Learning Through Dialogue: Engagement and Efficacy Matter More Than Explanations
by: Furniturewala, Shaz, et al.
Published: (2026)

Broadening Our View: Assistive Technology for Cerebral Visual Impairment
by: Gamage, Bhanuka, et al.
Published: (2025)

Emotion-sensitive Explanation Model
by: Schütze, Christian, et al.
Published: (2025)

Do We Know What They Know We Know? Calibrating Student Trust in AI and Human Responses Through Mutual Theory of Mind
by: Pal, Olivia, et al.
Published: (2026)

Contextualized Dynamic Explanations: A Vision
by: Liu, Zhicheng, et al.
Published: (2026)

Practice Less, Explain More: LLM-Supported Self-Explanation Improves Explanation Quality on Transfer Problems in Calculus
by: Chen, Eason, et al.
Published: (2026)

When Robots Say No: Temporal Trust Recovery Through Explanation
by: Webb, Nicola, et al.
Published: (2025)

On Evaluating Explanation Utility for Human-AI Decision Making in NLP
by: Chaleshtori, Fateme Hashemi, et al.
Published: (2024)

Towards Modeling Situational Awareness Through Visual Attention in Clinical Simulations
by: Gao, Haoting, et al.
Published: (2026)

ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations
by: Joshi, Brihi, et al.
Published: (2025)

Can LLM Assist in the Evaluation of the Quality of Machine Learning Explanations?
by: Wang, Bo, et al.
Published: (2025)

Evaluation of LLM-based Explanations for a Learning Analytics Dashboard
by: Deriyeva, Alina, et al.
Published: (2025)

An Appraisal-Based Approach to Human-Centred Explanations
by: Somarathna, Rukshani, et al.
Published: (2025)

Evaluating Large Language Models for Gait Classification Using Text-Encoded Kinematic Waveforms
by: Dindorf, Carlo, et al.
Published: (2026)