AIMC Topic: Bayes Theorem

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IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
Protein secondary structure, solvent accessibility and torsion angle predictions are preliminary steps to predict 3D structure of a protein. Deep learning approaches have achieved significant improvements in predicting various features of protein str...
Neural Networks, Computer Bayes Theorem Solvents Deep Learning Proteins
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Authentication of beef cuts by multielement and machine learning approaches.

Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) Mar 29, 2023
BACKGROUND: Brazil has consolidated a relevant position in the world market, being the largest exporter and second producer of beef. Genetics, feeding system, geographic origin and climate influence the multielement profile of beef. The feasibility o...
Algorithms Bayes Theorem Machine Learning Animals Brazil Random Forest Cattle
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The usefulness of artificial intelligence for safety assessment of different transport modes.

Accident; analysis and prevention Mar 28, 2023
Recent research in transport safety focuses on the processing of large amounts of available data by means of intelligent systems, in order to decrease the number of accidents for transportation users. Several Machine Learning (ML) and Artificial Inte...
Accidents, Traffic Transportation Artificial Intelligence Bayes Theorem Humans Neural Networks, Computer
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EEG-Based Emotion Classification in Financial Trading Using Deep Learning: Effects of Risk Control Measures.

Sensors (Basel, Switzerland) Mar 26, 2023
Day traders in the financial markets are under constant pressure to make rapid decisions and limit capital losses in response to fluctuating market prices. As such, their emotional state can greatly influence their decision-making, leading to subopti...
Fear Deep Learning Bayes Theorem Emotions Electroencephalography
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High-Level CNN and Machine Learning Methods for Speaker Recognition.

Sensors (Basel, Switzerland) Mar 25, 2023
Speaker Recognition (SR) is a common task in AI-based sound analysis, involving structurally different methodologies such as Deep Learning or "traditional" Machine Learning (ML). In this paper, we compared and explored the two methodologies on the DE...
Sound Machine Learning Bayes Theorem Acoustics
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Accuracies of various types of spinal robot in robot-assisted pedicle screw insertion: a Bayesian network meta-analysis.

Journal of orthopaedic surgery and research Mar 25, 2023
BACKGROUND: With the popularization of robot-assisted spinal surgeries, it is still uncertain whether robots with different designs could lead to different results in the accuracy of pedicle screw placement. This study aimed to compare the pedicle sc...
Retrospective Studies Robotics Pedicle Screws Lumbar Vertebrae Bayes Theorem Surgery, Computer-Assisted Spinal Fusion
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Development of a patients' satisfaction analysis system using machine learning and lexicon-based methods.

BMC health services research Mar 23, 2023
BACKGROUND: Patients' rights are integral to medical ethics. This study aimed to perform sentiment analysis and opinion mining on patients' messages by a combination of lexicon-based and machine learning methods to identify positive or negative comme...
Patient Satisfaction ROC Curve Bayes Theorem Humans Artificial Intelligence Machine Learning
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Application of a developed triple-classification machine learning model for carcinogenic prediction of hazardous organic chemicals to the US, EU, and WHO based on Chinese database.

Ecotoxicology and environmental safety Mar 20, 2023
Cancer, the second largest human disease, has become a major public health problem. The prediction of chemicals' carcinogenicity before their synthesis is crucial. In this paper, seven machine learning algorithms (i.e., Random Forest (RF), Logistic R...
Carcinogenesis Bayes Theorem United States Support Vector Machine Carcinogens European Union World Health Organization Hazardous Substances Algorithms Databases, Factual China Organic Chemicals Machine Learning
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Identifying Disease of Interest With Deep Learning Using Diagnosis Code.

Journal of Korean medical science Mar 20, 2023
BACKGROUND: Autoencoder (AE) is one of the deep learning techniques that uses an artificial neural network to reconstruct its input data in the output layer. We constructed a novel supervised AE model and tested its performance in the prediction of a...
Bayes Theorem Male Deep Learning Humans Neural Networks, Computer
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Confused or not: decoding brain activity and recognizing confusion in reasoning learning using EEG.

Journal of neural engineering Mar 17, 2023
Confusion is the primary epistemic emotion in the learning process, influencing students' engagement and whether they become frustrated or bored. However, research on confusion in learning is still in its early stages, and there is a need to better u...
Electroencephalography Emotions Bayes Theorem Humans Neural Networks, Computer Brain
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