:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Abedi, Ali, Chu, Charlene H., Khan, Shehroz S.
Format:	Preprint
Published:	2026
Subjects:	Computers and Society Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2602.00060
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-wise Multiview Clustering and Large Language Models
by: Khan, Shehroz S., et al.
Published: (2025)

Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
by: Karlov, Mark, et al.
Published: (2024)

Multimodal Sensor Dataset for Monitoring Older Adults Post Lower-Limb Fractures in Community Settings
by: Abedi, Ali, et al.
Published: (2025)

Benchmarking Early Agitation Prediction in Community-Dwelling People with Dementia Using Multimodal Sensors and Machine Learning
by: Abedi, Ali, et al.
Published: (2025)

Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults
by: Abedi, Ali, et al.
Published: (2026)

Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques
by: Nawaz, Ali, et al.
Published: (2025)

Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications
by: Schouten, Daan, et al.
Published: (2024)

Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
by: Chango, W., et al.
Published: (2024)

HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states
by: Kaetheeswaran, Jathushan, et al.
Published: (2025)

AWARE, Beyond Sentence Boundaries: A Contextual Transformer Framework for Identifying Cultural Capital in STEM Narratives
by: Khan, Khalid Mehtab, et al.
Published: (2025)

In defence of post-hoc explanations in medical AI
by: Hatherley, Joshua, et al.
Published: (2025)

An Epistemic and Aleatoric Decomposition of Arbitrariness to Constrain the Set of Good Models
by: Khan, Falaah Arif, et al.
Published: (2023)

Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation
by: Khan, Falaah Arif, et al.
Published: (2024)

Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources
by: Chango, W., et al.
Published: (2024)

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
by: Zhao, Chen, et al.
Published: (2024)

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
by: Chu, Yun-Wei, et al.
Published: (2022)

Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
by: Zhao, Chen, et al.
Published: (2023)

Sentiment Analysis of Airbnb Reviews: Exploring Their Impact on Acceptance Rates and Pricing Across Multiple U.S. Regions
by: Safari, Ali
Published: (2025)

UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription
by: Basiri, Reza, et al.
Published: (2024)

Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing
by: Kim, JongWoo, et al.
Published: (2024)

SRNI-CAR: A comprehensive dataset for analyzing the Chinese automotive market
by: Ding, Ruixin, et al.
Published: (2023)

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
by: Swamy, Vinitra, et al.
Published: (2023)

GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)

PakBBQ: A Culturally Adapted Bias Benchmark for QA
by: Hashmat, Abdullah, et al.
Published: (2025)

AI-powered Digital Framework for Personalized Economical Quality Learning at Scale
by: VatandoustMohammadieh, Mrzieh, et al.
Published: (2024)

Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
by: Mersha, Melkamu, et al.
Published: (2024)

Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models
by: Kumar, Abhishek, et al.
Published: (2024)

ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
by: Khowaja, Sunder Ali, et al.
Published: (2023)

CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
by: Ghaboura, Sara, et al.
Published: (2024)

Explainable AI for Mental Health Emergency Returns: Integrating LLMs with Predictive Modeling
by: Ahmed, Abdulaziz, et al.
Published: (2025)

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024)

Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction
by: Georgis-Yap, Zakary, et al.
Published: (2023)

AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
by: Wang, Zichong, et al.
Published: (2025)

ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs
by: Heakl, Ahmed, et al.
Published: (2024)

End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)

Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
by: Toups, Connor, et al.
Published: (2023)

Towards measuring fairness in speech recognition: Fair-Speech dataset
by: Veliche, Irina-Elena, et al.
Published: (2024)

AI-Enabled grading with near-domain data for scaling feedback with human-level accuracy
by: Agarwal, Shyam, et al.
Published: (2025)

Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge education platform
by: Amiruddin, Raisa, et al.
Published: (2025)

Transformers in Healthcare: A Survey
by: Nerella, Subhash, et al.
Published: (2023)