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   Articles with "mixture experts" as a keyword



Rapid Diagnosis of Chronic Kidney Disease via Raman Spectroscopy Combined With a Lightweight Mixture of Experts Method

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recommendations! Published in 2025 at "Journal of Raman Spectroscopy"

DOI: 10.1002/jrs.70028

Abstract: Chronic kidney disease (CKD) has become a major global public health challenge, affecting over 850 million people, and is expected to become the fifth leading cause of death worldwide by 2040. Among CKD, IgA nephropathy… read more here.

Keywords: spectroscopy; disease; raman spectroscopy; mixture experts ... See more keywords
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A class of mixture of experts models for general insurance: Theoretical developments

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recommendations! Published in 2019 at "Insurance: Mathematics and Economics"

DOI: 10.1016/j.insmatheco.2019.09.007

Abstract: Abstract In the Property and Casualty (PC and Expert functions, which govern the distributional properties of the claims. Also, upon the development of denseness theory in regression setting, we can heuristically interpret the LRMoE as… read more here.

Keywords: experts models; insurance; models general; general insurance ... See more keywords

Video Relationship Detection Using Mixture of Experts

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3257280

Abstract: Machine comprehension of visual information from images and videos by neural networks suffers from two limitations: (1) the computational and inference gap in vision and language to accurately determine which object a given agent acts… read more here.

Keywords: relationship detection; relationship; visual relationship; mixture experts ... See more keywords

An Adaptive and Scalable Framework for Resource-Efficient Deployment of Mixture of Experts in LLM-Based Intelligent IoT Networks

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3550841

Abstract: The exponential growth of the Internet of Things (IoT) necessitates the deployment of large-scale models capable of processing the complex and diverse data generated by IoT devices. However, the substantial memory requirements of these models… read more here.

Keywords: mixture experts; scalable framework; framework resource; adaptive scalable ... See more keywords

CDME: Convolutional Dictionary Iterative Model for Pansharpening With Mixture of Experts

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recommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2025.3545472

Abstract: In this letter, we propose a convolutional dictionary iterative model for pansharpening with a mixture of experts. First, we define an observation model to model the common and unique feature information between multispectral (MS) and… read more here.

Keywords: mixture experts; dictionary iterative; mixture; iterative model ... See more keywords

ARTEMIS: Autoregressive End-to-End Trajectory Planning With Mixture of Experts for Autonomous Driving

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recommendations! Published in 2025 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2025.3632616

Abstract: This letter presents ARTEMIS, an end-to-end autonomous driving framework that combines autoregressive trajectory planning with Mixture-of-Experts (MoE). Traditional modular methods suffer from error propagation, while existing end-to-end models typically employ static one-shot inference paradigms that… read more here.

Keywords: trajectory planning; end; mixture experts; end end ... See more keywords

Spatiotemporal Graph Mixture of Experts for Highway Traffic Flow Prediction

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recommendations! Published in 2025 at "IEEE Intelligent Transportation Systems Magazine"

DOI: 10.1109/mits.2025.3614710

Abstract: With excellent learning ability, the pretrained large model is challenging the mainstream traffic prediction paradigm. However, the pretraining process of large spatiotemporal models still faces the problems of high training cost and fixed graph size… read more here.

Keywords: mixture experts; prediction; graph mixture; spatiotemporal graph ... See more keywords

A lightweight Fusion Model based Jamba and Cross Fusion Mixture of Experts for Underwater Acoustic Target Recognition

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recommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2025.3615188

Abstract: To alleviate the problems of low recognition accuracy and weak robustness in intelligent underwater acoustic target recognition systems, a lightweight fusion model based on the time and frequency attention module, MobileJiT, and cross fusion mixture… read more here.

Keywords: mixture experts; fusion; recognition; cross fusion ... See more keywords

LLM-BotGuard: A Novel Framework for Detecting LLM-Driven Bots With Mixture of Experts and Graph Neural Networks

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recommendations! Published in 2025 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2025.3545822

Abstract: Detecting social media bots has become increasingly critical due to their detrimental impact on online environments. With the emergence of sophisticated large language models (LLM) such as ChatGPT, bot detection faces new challenges. These bots… read more here.

Keywords: llm botguard; driven bots; mixture experts; botguard novel ... See more keywords

Attentive Large Kernel Network With Mixture of Experts for Video Deblurring

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2025.3531003

Abstract: Video deblurring is a fundamental problem in low-level vision, and many methods have employed designs based on CNNs and transformers. Traditional CNNs often require deeper architectures to achieve a larger receptive field, which may not… read more here.

Keywords: mixture experts; video deblurring; large kernel; attentive large ... See more keywords

Uncertainty-Aware Mixture of Experts for Video Action Anticipation

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2025.3577027

Abstract: Anticipating future actions in daily life videos is crucial for seamless human-machine collaboration. However, accurately predicting these actions is challenging due to the inherent uncertainty and non-determinism of future events. To address this, we propose… read more here.

Keywords: loss; mixture experts; aware mixture; anticipation ... See more keywords