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Showing 2626-2646 of 3,859 articles

Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation

Artificial intelligence (AI) is increasingly being used for medical imaging tasks. However, there ...

Mar 2025 http://arxiv.org/abs/2503.17089v1

Casual Inference via Style Bias Deconfounding for Domain Generalization

Deep neural networks (DNNs) often struggle with out-of-distribution data, limiting their reliabili...

Mar 2025 http://arxiv.org/abs/2503.16852v1

Machine Learning-Based Genomic Linguistic Analysis (Gene Sequence Feature Learning): A Case Study on Predicting Heavy Metal Response Genes in Rice

This study explores the application of machine learning-based genetic linguistics for identifying ...

(2)

Mar 2025 http://arxiv.org/abs/2503.16582v1

SpecReX: Explainable AI for Raman Spectroscopy

Raman spectroscopy is becoming more common for medical diagnostics with deep learning models being...

Mar 2025 http://arxiv.org/abs/2503.14567v1

Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction

Automatic anatomical landmark localization in medical imaging requires not just accurate predictio...

(1)

Mar 2025 http://arxiv.org/abs/2503.14106v1

Identifying and Mitigating Position Bias of Multi-image Vision-Language Models

The evolution of Large Vision-Language Models (LVLMs) has progressed from single to multi-image re...

Mar 2025 http://arxiv.org/abs/2503.13792v1

Ethical Implications of AI in Data Collection: Balancing Innovation with Privacy

This article examines the ethical and legal implications of artificial intelligence (AI) driven da...

Mar 2025 http://arxiv.org/abs/2503.14539v1

A Plug-and-Play Learning-based IMU Bias Factor for Robust Visual-Inertial Odometry

The bias of low-cost Inertial Measurement Units (IMU) is a critical factor affecting the performan...

Mar 2025 http://arxiv.org/abs/2503.12527v1

FAILS: A Framework for Automated Collection and Analysis of LLM Service Incidents

Large Language Model (LLM) services such as ChatGPT, DALLE, and Cursor have quickly become essenti...

(3)

Mar 2025 http://arxiv.org/abs/2503.12185v1

RECSIP: REpeated Clustering of Scores Improving the Precision

The latest research on Large Language Models (LLMs) has demonstrated significant advancement in th...

Mar 2025 http://arxiv.org/abs/2503.12108v1

LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs

Training-free video large language models (LLMs) leverage pretrained Image LLMs to process video c...

Mar 2025 http://arxiv.org/abs/2503.11205v1

Variational Bayesian Personalized Ranking

Recommendation systems have found extensive applications across diverse domains. However, the trai...

Mar 2025 http://arxiv.org/abs/2503.11067v1

Readability, reliability and quality of responses generated by ChatGPT, gemini, and perplexity for the most frequently asked questions about pain.

It is clear that artificial intelligence-based chatbots will be popular applications in the field of...

Mar 2025 40101096

Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild

Neural architectures tend to fit their data with relatively simple functions. This "simplicity bia...

(2)

Mar 2025 http://arxiv.org/abs/2503.10065v1

Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework

Data-driven AI is establishing itself at the center of evidence-based medicine. However, reports o...

(4)

Mar 2025 http://arxiv.org/abs/2503.09969v1

Medical Large Language Model Benchmarks Should Prioritize Construct Validity

Medical large language models (LLMs) research often makes bold claims, from encoding clinical know...

Mar 2025 http://arxiv.org/abs/2503.10694v1

BiasConnect: Investigating Bias Interactions in Text-to-Image Models

The biases exhibited by Text-to-Image (TTI) models are often treated as if they are independent, b...

Mar 2025 http://arxiv.org/abs/2503.09763v1

ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation

Transformers, particularly Vision Transformers (ViTs), have achieved state-of-the-art performance ...

Mar 2025 http://arxiv.org/abs/2503.09399v1

Smart Feeding Station: Non-Invasive, Automated IoT Monitoring of Goodman's Mouse Lemurs in a Semi-Natural Rainforest Habitat

In recent years, zoological institutions have made significant strides to reimagine ex situ animal...

(1)

Mar 2025 http://arxiv.org/abs/2503.09238v1

Multi-Modal Foundation Models for Computational Pathology: A Survey

Foundation models have emerged as a powerful paradigm in computational pathology (CPath), enabling...

Mar 2025 http://arxiv.org/abs/2503.09091v2

Beyond Diagonal RIS-Aided Wireless Communications Systems: State-of-the-Art and Future Research Directions

Integrating BD-RIS into wireless communications systems has attracted significant interest due to ...

Mar 2025 http://arxiv.org/abs/2503.08826v1