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From the 1 of 13 linked papers with an AI index.

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13 papers

cs.CV2026

Data Safety: Synthetic Data Quality Analysis Using CIFAKE Dataset

Kuniko Paxton, Amila Akagić, Koorosh Aslansefat +2

The paper examines how synthetic images generated by different methods differ from real images in feature space, color statistics, and model training, and proposes strategies for e…

cs.AI2026

Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering

Louis Donaldson, Connor Walker, Koorosh Aslansefat +1

Trustworthy deployment of Agentic Retrieval-Augmented Generation (RAG) systems requires mechanisms for estimating when multi-stage reasoning pipelines may fail. This paper presents…

cs.CV2026

Exploring the Impact of Skin Color on Skin Lesion Segmentation

Kuniko Paxton, Medina Kapo, Amila Akagić +3

Skin cancer, particularly melanoma, remains a major cause of morbidity and mortality, making early detection critical. AI-driven dermatology systems often rely on skin lesion segme…

eess.SP2026

A Multi-Modal Dataset for Ground Reaction Force Estimation Using Consumer Wearable Sensors

Parvin Ghaffarzadeh, Debarati Chakraborty, Koorosh Aslansefat +2

This Data Descriptor presents a fully open, multi-modal dataset for estimating vertical ground reaction force (vGRF) from consumer-grade Apple Watch sensors with laboratory force p…

cs.CV2025

Skewness-Guided Pruning of Multimodal Swin Transformers for Federated Skin Lesion Classification on Edge Devices

Kuniko Paxton, Koorosh Aslansefat, Dhavalkumar Thakker +1

In recent years, high-performance computer vision models have achieved remarkable success in medical imaging, with some skin lesion classification systems even surpassing dermatolo…

cs.CV2025

Mitigating Individual Skin Tone Bias in Skin Lesion Classification through Distribution-Aware Reweighting

Kuniko Paxton, Zeinab Dehghani, Koorosh Aslansefat +2

Skin color has historically been a focal point of discrimination, yet fairness research in machine learning for medical imaging often relies on coarse subgroup categories, overlook…