AIMC Topic: Random Forest

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Online Extra Trees Regressor.

IEEE transactions on neural networks and learning systems Oct 5, 2023
Data production has followed an increased growth in the last years, to the point that traditional or batch machine-learning (ML) algorithms cannot cope with the sheer volume of generated data. Stream or online ML presents itself as a viable solution ...
Random Forest Neural Networks, Computer Algorithms Machine Learning
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Quantification of golgi dispersal and classification using machine learning models.

Micron (Oxford, England : 1993) Oct 1, 2023
The Golgi body is a critical organelle in eukaryotic cells responsible for processing and modifying proteins and lipids. Under certain conditions, such as stress, disease, or ageing, the Golgi structure alters. Therefore, understanding the mechanisms...
Humans Machine Learning HeLa Cells Random Forest Aging Bayes Theorem
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Learning smooth dendrite morphological neurons by stochastic gradient descent for pattern classification.

Neural networks : the official journal of the International Neural Network Society Sep 25, 2023
This article presents a learning algorithm for dendrite morphological neurons (DMN) based on stochastic gradient descent (SGD). In particular, we focus on a DMN topology that comprises spherical dendrites, smooth maximum activation function nodes, an...
Dendrites Neurons Neural Networks, Computer Random Forest Algorithms
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A performance comparison of machine learning models for stock market prediction with novel investment strategy.

PloS one Sep 21, 2023
Stock market forecasting is one of the most challenging problems in today's financial markets. According to the efficient market hypothesis, it is almost impossible to predict the stock market with 100% accuracy. However, Machine Learning (ML) method...
Random Forest Investments Research Personnel Machine Learning Humans Computer Simulation
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Predicting carcass tissue composition in Blackbelly sheep using ultrasound measurements and machine learning methods.

Tropical animal health and production Sep 19, 2023
This study aimed to predict Blackbelly sheep carcass tissue composition using ultrasound measurements and machine learning models. The models evaluated were decision trees, random forests, support vector machines, and multi-layer perceptrons and were...
Muscles Sheep Animals Machine Learning Random Forest Ultrasonography Neural Networks, Computer
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Machine learning and EEG can classify passive viewing of discrete categories of visual stimuli but not the observation of pain.

BMC neuroscience Sep 15, 2023
Previous studies have demonstrated the potential of machine learning (ML) in classifying physical pain from non-pain states using electroencephalographic (EEG) data. However, the application of ML to EEG data to categorise the observation of pain ver...
Electroencephalography Machine Learning Pain Random Forest Humans
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Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm.

BMC medical informatics and decision making Sep 9, 2023
BACKGROUND: Food frequency questionnaires (FFQs) are one of the most useful tools for studying and understanding diet-disease relationships. However, because FFQs are self-reported data, they are susceptible to response bias, social desirability bias...
Humans Machine Learning Supervised Machine Learning Self Report Random Forest Algorithms
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Forecasting actual evapotranspiration without climate data based on stacked integration of DNN and meta-heuristic models across China from 1958 to 2021.

Journal of environmental management Sep 7, 2023
As a non-linear phenomenon that varies along with agro-climatic conditions alongside many other factors, Evapotranspiration (ET) process represents a complexity when be assessed especially if there is a data scarcity in the weather data. However, eve...
Machine Learning China Neural Networks, Computer Heuristics Random Forest
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Crash injury severity prediction considering data imbalance: A Wasserstein generative adversarial network with gradient penalty approach.

Accident; analysis and prevention Aug 31, 2023
For each road crash event, it is necessary to predict its injury severity. However, predicting crash injury severity with the imbalanced data frequently results in ineffective classifier. Due to the rarity of severe injuries in road traffic crashes, ...
Neural Networks, Computer Machine Learning Accidents, Traffic Random Forest Sulfadiazine Humans Research Design
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DeepGRID: Deep Learning Using GRID Descriptors for BBB Prediction.

Journal of chemical information and modeling Aug 28, 2023
Deep Learning approaches are able to automatically extract relevant features from the input data and capture nonlinear relationships between the input and output. In this work, we present the GRID-derived AI (GrAId) descriptors, a simple modification...
Random Forest Blood-Brain Barrier Neural Networks, Computer Deep Learning
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