AIMC Topic: Benchmarking

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Protein structure search to support the development of protein structure prediction methods.

Proteins Feb 2, 2021
Protein structure prediction is a long-standing unsolved problem in molecular biology that has seen renewed interest with the recent success of deep learning with AlphaFold at CASP13. While developing and evaluating protein structure prediction metho...
Humans Research Design Deep Learning Amino Acid Motifs Structural Homology, Protein Protein Conformation, alpha-Helical Protein Conformation, beta-Strand Proteins Benchmarking Sequence Alignment
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EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Recent medical prognostic models adapted from high data-resource fields like language processing have quickly grown in complexity and size. However, since medical data typically constitute low data-resource settings, performances on tasks like clinic...
Data Mining Information Storage and Retrieval Clinical Decision Rules Intensive Care Units Electronic Health Records Benchmarking Humans Machine Learning Prognosis
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A neurodynamic optimization approach to supervised feature selection via fractional programming.

Neural networks : the official journal of the International Neural Network Society Jan 14, 2021
Feature selection is an important issue in machine learning and data mining. Most existing feature selection methods are greedy in nature thus are prone to sub-optimality. Though some global feature selection methods based on unsupervised redundancy ...
Databases, Factual Cluster Analysis Benchmarking Humans Neural Networks, Computer Machine Learning Data Mining
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Investigating the potential of deep learning for patient-specific quality assurance of salivary gland contours using EORTC-1219-DAHANCA-29 clinical trial data.

Acta oncologica (Stockholm, Sweden) Jan 11, 2021
INTRODUCTION: Manual quality assurance (QA) of radiotherapy contours for clinical trials is time and labor intensive and subject to inter-observer variability. Therefore, we investigated whether deep-learning (DL) can provide an automated solution to...
Deep Learning Benchmarking Parotid Gland Humans Reproducibility of Results Radiotherapy Planning, Computer-Assisted
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Global and Local Knowledge-Aware Attention Network for Action Recognition.

IEEE transactions on neural networks and learning systems Jan 4, 2021
Convolutional neural networks (CNNs) have shown an effective way to learn spatiotemporal representation for action recognition in videos. However, most traditional action recognition algorithms do not employ the attention mechanism to focus on essent...
Pattern Recognition, Automated Knowledge Movement Reproducibility of Results Computer Systems Image Processing, Computer-Assisted Benchmarking Attention Video Recording Machine Learning Algorithms Databases, Factual Humans Neural Networks, Computer
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Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder.

BMC medical informatics and decision making Dec 30, 2020
BACKGROUND: Natural language processing (NLP) tools can facilitate the extraction of biomedical concepts from unstructured free texts, such as research articles or clinical notes. The NLP software tools CLAMP, cTAKES, and MetaMap are among the most w...
Humans Software PubMed Autism Spectrum Disorder Natural Language Processing Benchmarking
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Automatic Identification of Information Quality Metrics in Health News Stories.

Frontiers in public health Dec 18, 2020
Many online and printed media publish health news of questionable trustworthiness and it may be difficult for laypersons to determine the information quality of such articles. The purpose of this work was to propose a methodology for the automatic a...
Natural Language Processing Benchmarking Mass Media Humans Machine Learning Databases, Factual
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Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development.

Journal of medical Internet research Dec 16, 2020
BACKGROUND: Assigning meaningful probabilities of SARS-CoV-2 infection risk presents a diagnostic challenge across the continuum of care.
Fever COVID-19 Testing Probability California Risk Symptom Assessment Cough Bayes Theorem Benchmarking Prevalence Comorbidity Decision Support Systems, Clinical COVID-19 Female Aged Aged, 80 and over Male Middle Aged Humans Machine Learning
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Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems.

IEEE transactions on neural networks and learning systems Nov 30, 2020
Recently, applications of complex-valued neural networks (CVNNs) to real-valued classification problems have attracted significant attention. However, most existing CVNNs are black-box models with poor explanation performance. This study extends the ...
Models, Theoretical Data Interpretation, Statistical Benchmarking Classification Algorithms Databases, Factual Animals Humans Neural Networks, Computer Machine Learning
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Hier R-CNN: Instance-Level Human Parts Detection and A New Benchmark.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Nov 18, 2020
Detecting human parts at instance-level is an essential prerequisite for the analysis of human keypoints, actions, and attributes. Nonetheless, there is a lack of a large-scale, rich-annotated dataset for human parts detection. We fill in the gap by ...
Humans Neural Networks, Computer Algorithms Benchmarking Head Foot Databases, Factual Image Processing, Computer-Assisted Hand
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