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Data-driven methods for anaphora resolution of Russian texts
Kamenskaya M.A., Khramoin I.V., Smirnov I.V.
features. The first method uses Support Vector Machine as learning and classifying algorithms, the second
On methods for improving the accuracy of multi-class classification on imbalanced data
Sevastianov L.A., Shchetinin E.Yu.
, including medical diagnostics, spam filtering, and fraud detection. Most machine learning algorithms work
The quantum version of random forest model for binary classification problem
Khadiev K., Safina L.
problem. The idea of the paper is to combine quantum amplitude amplification algorithm
Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints
He, X., Wang, Z., Li, Y., Khazhina, S., Du, W., Wang, J., Wang, W.
discrete teaching and learning based optimization algorithm is applied to solve this NP-hard problem, and a
Persian text classification using naive bayes algorithms and support vector machine algorithm
Rezaeian N., Novikova G.
Extraction, Natural Language Processing, and Machine Learning. This paper proposes an innovative approach
Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models
Khosravi K., Farooque A.A., Naghibi A., Heddam S., Sharafati A., Hatamiafkoueieh J., Abolfathi S.
machine learning (ML) and deep learning (DL) algorithms for Ep prediction using readily available
Methods for improving Fuzzing-Testing Using Machine Learning and visualisation of results
Mishin I., Saltykova O.
binary code of a program using machine learning is the most preferable, since it implies a fairly
Non-Invasive Early Diagnosis of Obstructive Lung Diseases Leveraging Machine Learning Algorithms
Rehman M.U., Driss M., Khakimov A., Khalid S.
and iris features. This research work implements different machine-learning-based techniques which classify
A Machine Learning-Based Intelligent Vehicular System (IVS) for Driver’s Diabetes Monitoring in Vehicular Ad-Hoc Networks (VANETs)
Sohail R., Saeed Y., Ali A., Alkanhel R., Jamil H., Muthanna A., Akbar H.
learning, and VANET technology. Several machine learning (ML) algorithms assessed the proposed prediction
Human physical activity recognition algorithm based on smartphone data and convolutional neural network
Wan, Z., Baryskievic, A. A.
application of advanced Machine Learning (ML) and Artificial Intelligence (AI) techniques that utilizes

Страница 7 из 3782

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