AIMC Topic: Benchmarking

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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association.

The Journal of pathology Sep 3, 2019
In this white paper, experts from the Digital Pathology Association (DPA) define terminology and concepts in the emerging field of computational pathology, with a focus on its application to histology images analyzed together with their associated pa...
Workflow Benchmarking Diagnosis, Computer-Assisted Predictive Value of Tests Computer Security Pathology Policy Making Image Interpretation, Computer-Assisted Terminology as Topic Humans Artificial Intelligence
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Multi-Level Comparison of Machine Learning Classifiers and Their Performance Metrics.

Molecules (Basel, Switzerland) Aug 1, 2019
Machine learning classification algorithms are widely used for the prediction and classification of the different properties of molecules such as toxicity or biological activity. the prediction of toxic vs. non-toxic molecules is important due to tes...
Machine Learning Algorithms Benchmarking
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ClearF: a supervised feature scoring method to find biomarkers using class-wise embedding and reconstruction.

BMC medical genomics Jul 11, 2019
BACKGROUND: Feature selection or scoring methods for the detection of biomarkers are essential in bioinformatics. Various feature selection methods have been developed for the detection of biomarkers, and several studies have employed information-the...
Benchmarking Supervised Machine Learning Biomarkers Computational Biology
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Novel evaluation of surgical activity recognition models using task-based efficiency metrics.

International journal of computer assisted radiology and surgery Jul 2, 2019
PURPOSE: Surgical task-based metrics (rather than entire procedure metrics) can be used to improve surgeon training and, ultimately, patient care through focused training interventions. Machine learning models to automatically recognize individual ta...
Robotic Surgical Procedures Benchmarking Surgeons Clinical Competence Prostatectomy Models, Anatomic Machine Learning Male Humans
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Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning.

Nature communications Jul 1, 2019
Computational modeling of chemical and biological systems at atomic resolution is a crucial tool in the chemist's toolset. The use of computer simulations requires a balance between cost and accuracy: quantum-mechanical methods provide high accuracy ...
Neural Networks, Computer Machine Learning Computer Simulation Hydrocarbons Benchmarking Thermodynamics Isomerism
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Brain wave classification using long short-term memory network based OPTICAL predictor.

Scientific reports Jun 24, 2019
Brain-computer interface (BCI) systems having the ability to classify brain waves with greater accuracy are highly desirable. To this end, a number of techniques have been proposed aiming to be able to classify brain waves with high accuracy. However...
Humans Neural Networks, Computer Brain Waves Signal Processing, Computer-Assisted Benchmarking Support Vector Machine Electroencephalography
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Multitask learning and benchmarking with clinical time series data.

Scientific data Jun 17, 2019
Health care is one of the most exciting frontiers in data mining and machine learning. Successful adoption of electronic health records (EHRs) created an explosion in digital clinical data available for analysis, but progress in machine learning for ...
Benchmarking Data Mining Humans Databases, Factual Electronic Health Records Machine Learning
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Artery-vein segmentation in fundus images using a fully convolutional network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 15, 2019
Epidemiological studies demonstrate that dimensions of retinal vessels change with ocular diseases, coronary heart disease and stroke. Different metrics have been described to quantify these changes in fundus images, with arteriolar and venular calib...
Humans Retinal Vessels Datasets as Topic Deep Learning Retinal Artery Benchmarking Fundus Oculi Photography Retinal Vein
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Margin-Based Pareto Ensemble Pruning: An Ensemble Pruning Algorithm That Learns to Search Optimized Ensembles.

Computational intelligence and neuroscience Jun 3, 2019
The ensemble pruning system is an effective machine learning framework that combines several learners as experts to classify a test set. Generally, ensemble pruning systems aim to define a region of competence based on the validation set to select th...
Benchmarking Pattern Recognition, Automated Scientific Experimental Error Algorithms Computer Simulation Humans Machine Learning
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NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding.

IEEE transactions on pattern analysis and machine intelligence May 14, 2019
Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition. The existing depth-based and RGB+D-based action recognition benchmarks have a number of l...
Benchmarking Human Activities Humans Semantics Video Recording Deep Learning Algorithms Pattern Recognition, Automated Image Processing, Computer-Assisted
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