AIMC Topic: Research Design

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Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials.

Statistics in medicine Feb 16, 2022
Several recently developed methods have the potential to harness machine learning in the pursuit of target quantities inspired by causal inference, including inverse weighting, doubly robust estimating equations and substitution estimators like targe...
Causality Models, Statistical Regression Analysis Research Design Likelihood Functions Computer Simulation Humans Machine Learning
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Towards a universal and privacy preserving EEG-based authentication system.

Scientific reports Feb 15, 2022
EEG-based authentication has gained much interest in recent years. However, despite its growing appeal, there are still various challenges to their practical use, such as lack of universality, lack of privacy-preserving, and lack of ease of use. In t...
Electroencephalography Data Collection Research Design Deep Learning Humans Algorithms
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A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization.

Scientific reports Feb 15, 2022
Genomic variant interpretation is a critical step of the diagnostic procedure, often supported by the application of tools that may predict the damaging impact of each variant or provide a guidelines-based classification. We propose the application o...
Genetic Variation High-Throughput Nucleotide Sequencing Bayes Theorem Genetic Testing Practice Guidelines as Topic Genome, Human Cohort Studies Genomics Genetic Predisposition to Disease Logistic Models Computer Simulation Neoplasms Software Research Design Humans Machine Learning
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Research on Object Detection of PCB Assembly Scene Based on Effective Receptive Field Anchor Allocation.

Computational intelligence and neuroscience Feb 14, 2022
Vision-based object detection of PCB (printed circuit board) assembly scenes is essential in accelerating the intelligent production of electronic products. In particular, it is necessary to improve the detection accuracy as much as possible to ensur...
Electronics Research Design Computer Systems Neural Networks, Computer Algorithms
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Deep Multi-Feature Transfer Network for Fourier Ptychographic Microscopy Imaging Reconstruction.

Sensors (Basel, Switzerland) Feb 6, 2022
Fourier ptychographic microscopy (FPM) is a potential imaging technique, which is used to achieve wide field-of-view (FOV), high-resolution and quantitative phase information. The LED array is used to irradiate the samples from different angles to ob...
Neural Networks, Computer Research Design Microscopy Computer Simulation Light
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The BMS-LM ontology for biomedical data reporting throughout the lifecycle of a research study: From data model to ontology.

Journal of biomedical informatics Feb 4, 2022
Biomedical research data reuse and sharing is essential for fostering research progress. To this aim, data producers need to master data management and reporting through standard and rich metadata, as encouraged by open data initiatives such as the F...
Biological Ontologies Biomedical Research Data Curation Research Design Animals Metadata Semantics
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Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning.

IEEE journal of biomedical and health informatics Feb 4, 2022
Medical instrument segmentation in 3D ultrasound is essential for image-guided intervention. However, to train a successful deep neural network for instrument segmentation, a large number of labeled images are required, which is expensive and time-co...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Supervised Machine Learning Uncertainty Research Design Ultrasonography
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Deep Modular Bilinear Attention Network for Visual Question Answering.

Sensors (Basel, Switzerland) Jan 28, 2022
VQA (Visual Question Answering) is a multi-model task. Given a picture and a question related to the image, it will determine the correct answer. The attention mechanism has become a de facto component of almost all VQA models. Most recent VQA approa...
Research Design Language Natural Language Processing
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A New Method of Deep Convolutional Neural Network Image Classification Based on Knowledge Transfer in Small Label Sample Environment.

Sensors (Basel, Switzerland) Jan 25, 2022
The problem of deep learning network image classification when a large number of image samples are obtained in life and with only a small amount of knowledge annotation, is preliminarily solved in this paper. First, a support vector machine expert la...
Support Vector Machine Neural Networks, Computer Research Design
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A Real-Time Zanthoxylum Target Detection Method for an Intelligent Picking Robot under a Complex Background, Based on an Improved YOLOv5s Architecture.

Sensors (Basel, Switzerland) Jan 17, 2022
The target recognition algorithm is one of the core technologies of Zanthoxylum pepper-picking robots. However, most existing detection algorithms cannot effectively detect Zanthoxylum fruit covered by branches, leaves and other fruits in natural sce...
Algorithms Research Design Robotics Environment Zanthoxylum
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