AIMC Topic: Machine Learning

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Machine Learning-Based Intelligent Scoring System for English Essays under the Background of Modern Information Technology.

Computational intelligence and neuroscience
This work is to reduce the workload of teachers in English teaching and improve the writing level of students, so as to provide a way for students to practice English composition scoring independently and satisfy the needs of college teachers and stu...

Improving clinical trial efficiency using a machine learning-based risk score to enrich study populations.

European journal of heart failure
AIMS: Prognostic enrichment strategies can make trials more efficient, although potentially at the cost of diminishing external validity. Whether using a risk score to identify a population at increased mortality risk could improve trial efficiency i...

Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India.

Environmental science and pollution research international
Prediction of soil temperature (ST) at multiple depths is important for maintaining the physical, chemical, and biological activities in soil for various scientific aspects. The present study was conducted in a semi-arid region of Punjab to predict t...

A multivariate adaptive gradient algorithm with reduced tuning efforts.

Neural networks : the official journal of the International Neural Network Society
Large neural networks usually perform well for executing machine learning tasks. However, models that achieve state-of-the-art performance involve arbitrarily large number of parameters and therefore their training is very expensive. It is thus desir...

Uncertainty-aware selecting for an ensemble of deep food recognition models.

Computers in biology and medicine
Deep learning is a machine learning technique that has revolutionized the research community due to its impressive results on various real-life problems. Recently, ensembles of Convolutional Neural Networks (CNN) have proven to achieve high robustnes...

Deep Q-Learning in Robotics: Improvement of Accuracy and Repeatability.

Sensors (Basel, Switzerland)
Recent industrial robotics covers a broad part of the manufacturing spectrum and other human everyday life applications; the performance of these devices has become increasingly important. Positioning accuracy and repeatability, as well as operating ...

A novel early diagnostic framework for chronic diseases with class imbalance.

Scientific reports
Chronic diseases are one of the most severe health issues in the world, due to their terrible clinical presentations such as long onset cycle, insidious symptoms, and various complications. Recently, machine learning has become a promising technique ...

Machine Learning-Based Ultrasound Radiomics for Evaluating the Function of Transplanted Kidneys.

Ultrasound in medicine & biology
The aim of the study described here was to investigate the value of different machine learning models based on the clinical and radiomic features of 2-D ultrasound images to evaluate post-transplant renal function (pTRF). We included 233 patients who...

Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet.

Sensors (Basel, Switzerland)
In recent times, organisations in a variety of businesses, such as healthcare, education, and others, have been using the Internet of Things (IoT) to produce more competent and improved services. The widespread use of IoT devices makes our lives easi...

Gene expression data classification using topology and machine learning models.

BMC bioinformatics
BACKGROUND: Interpretation of high-throughput gene expression data continues to require mathematical tools in data analysis that recognizes the shape of the data in high dimensions. Topological data analysis (TDA) has recently been successful in extr...