LAUSR

Multi-expert fusion: An ensemble learning framework to segment 3d trus prostate images.

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1 Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15679

Abstract: PURPOSE Prostate segmentation of 3D TRUS images is a prerequisite for several diagnostic and therapeutic applications. Unfortunately, this difficult task suffers from high intra- and inter-observer variability, even for experienced urologists/radiologists. This is why automatic… read more here.

Keywords: trus; fusion; prostate; multi expert ... See more keywords

DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making

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0 Published in 2020 at "Omega"

DOI: 10.1016/j.omega.2019.04.001

Abstract: Abstract This paper develops a comprehensive algorithm for multi-expert multi-criteria decision making problems considering quantitative and qualitative criteria in forms of benefit, cost or target types. We focus on using probabilistic linguistic term sets to… read more here.

Keywords: multi expert; criteria decision; expert multi; multi ... See more keywords

Estimation of Multi-Expert Sperm Assessments Using Video Recognition Based Model Trained by EMD Loss

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0 Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3443179

Abstract: Infertility is a common problem, affecting approximately one in six adults worldwide. Some studies have shown that male factors contribute to infertility in up to 50% of couples. Intracytoplasmic sperm injection (ICSI) is a common… read more here.

Keywords: video; loss; multi expert; model ... See more keywords

Enhancing LLM Reasoning Capabilities Through Brokered Multi-Expert Reflection

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0 Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3561693

Abstract: Large Language Models (LLMs) have found increasing application in tasks requiring multi-step reasoning, yet challenges such as hallucinations and inconsistencies in the generated responses persist. This study presents an innovative methodology to enhance the reasoning… read more here.

Keywords: brokered multi; multi expert; reflection; expert reflection ... See more keywords

ME R-CNN: Multi-Expert R-CNN for Object Detection

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1 Published in 2020 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2019.2938879

Abstract: We introduce Multi-Expert Region-based Convolutional Neural Network (ME R-CNN) which is equipped with multiple experts (ME) where each expert is learned to process a certain type of regions of interest (RoIs). This architecture better captures… read more here.

Keywords: multi expert; expert; cnn; cnn multi ... See more keywords