AIMC Topic: Algorithms

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In silico prediction of chemical-induced hematotoxicity with machine learning and deep learning methods.

Molecular diversity Jul 1, 2021
Chemical-induced hematotoxicity is an important concern in the drug discovery, since it can often be fatal when it happens. It is quite useful for us to give special attention to chemicals which can cause hematotoxicity. In the present study, we focu...
Machine Learning Algorithms Humans Deep Learning ROC Curve Models, Molecular Reproducibility of Results Drug Discovery Cheminformatics Blood Cells Quantitative Structure-Activity Relationship Drug-Related Side Effects and Adverse Reactions Databases, Chemical
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Multi-Task Head Pose Estimation in-the-Wild.

IEEE transactions on pattern analysis and machine intelligence Jul 1, 2021
We present a deep learning-based multi-task approach for head pose estimation in images. We contribute with a network architecture and training strategy that harness the strong dependencies among face pose, alignment and visibility, to produce a top ...
Image Processing, Computer-Assisted Algorithms Neural Networks, Computer Face
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Multi-Task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition.

IEEE transactions on pattern analysis and machine intelligence Jul 1, 2021
Human pose estimation and action recognition are related tasks since both problems are strongly dependent on the human body representation and analysis. Nonetheless, most recent methods in the literature handle the two problems separately. In this ar...
Algorithms Deep Learning Humans Software
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Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization.

IEEE transactions on pattern analysis and machine intelligence Jul 1, 2021
Compared with global average pooling in existing deep convolutional neural networks (CNNs), global covariance pooling can capture richer statistics of deep features, having potential for improving representation and generalization abilities of deep C...
Animals Image Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Algorithms
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CNN-LRP: Understanding Convolutional Neural Networks Performance for Target Recognition in SAR Images.

Sensors (Basel, Switzerland) Jul 1, 2021
Target recognition is one of the most challenging tasks in synthetic aperture radar (SAR) image processing since it is highly affected by a series of pre-processing techniques which usually require sophisticated manipulation for different data and co...
Image Processing, Computer-Assisted Neural Networks, Computer Radar Algorithms
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Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN.

Sensors (Basel, Switzerland) Jul 1, 2021
Currently, greenhouses are widely applied for plant growth, and environmental parameters can also be controlled in the modern greenhouse to guarantee the maximum crop yield. In order to optimally control greenhouses' environmental parameters, one ind...
Neural Networks, Computer Machine Learning Algorithms Deep Learning Agriculture
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Machine Learning Methods for Fear Classification Based on Physiological Features.

Sensors (Basel, Switzerland) Jul 1, 2021
This paper focuses on the binary classification of the emotion of fear, based on the physiological data and subjective responses stored in the DEAP dataset. We performed a mapping between the discrete and dimensional emotional information considering...
Algorithms Support Vector Machine Humans Machine Learning Cluster Analysis Fear
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Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.

JAMA network open Jul 1, 2021
IMPORTANCE: Electronic health records (EHRs) provide a low-cost means of accessing detailed longitudinal clinical data for large populations. A lung cancer cohort assembled from EHR data would be a powerful platform for clinical outcome studies.
Cohort Studies ROC Curve Area Under Curve Survival Analysis Lung Neoplasms Humans Female Machine Learning Male Prognosis Algorithms Electronic Health Records Survivors Boston
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Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation.

Chinese medical journal Jul 1, 2021
BACKGROUND: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on d...
Gestational Age Lung Deep Learning Algorithms Infant, Newborn Humans Pregnancy Female Infant Neural Networks, Computer
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Mosquito species identification using convolutional neural networks with a multitiered ensemble model for novel species detection.

Scientific reports Jul 1, 2021
With over 3500 mosquito species described, accurate species identification of the few implicated in disease transmission is critical to mosquito borne disease mitigation. Yet this task is hindered by limited global taxonomic expertise and specimen da...
Mosquito Vectors Algorithms Databases, Factual Image Processing, Computer-Assisted Culicidae Animals Neural Networks, Computer
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