Exploiting sequence-based features for predicting enhancer–promoter interactions

Y Yang, R Zhang, S Singh, J Ma - Bioinformatics, 2017 - academic.oup.com
Motivation A large number of distal enhancers and proximal promoters form enhancer–
promoter interactions to regulate target genes in the human genome. Although recent high …

K-means Bayes algorithm for imbalanced fault classification and big data application

G Chen, Y Liu, Z Ge - Journal of Process Control, 2019 - Elsevier
Fault classification is an important part of process monitoring in industrial processes. Most
conventional fault classification methods are under the assumption that the amount of data …

Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A …

F Nininahazwe, J Théau, G Marc Antoine… - GIScience & Remote …, 2023 - Taylor & Francis
Invasive alien plant species (IAPS) have negative impacts on ecosystems, including the loss
of biodiversity and the alteration of ecosystem functions. The strategy for mitigating these …

Anomaly detection in sleep: detecting mouth breathing in children

L Biedebach, M Óskarsdóttir, ES Arnardóttir… - Data Mining and …, 2024 - Springer
Identifying mouth breathing during sleep in a reliable, non-invasive way is challenging and
currently not included in sleep studies. However, it has a high clinical relevance in …

[HTML][HTML] Early detection of coronary microvascular dysfunction using machine learning algorithm based on vectorcardiography and cardiodynamicsgram features

X Zhao, Y Gong, J Zhang, H Liu, T Huang, J Jiang… - IRBM, 2023 - Elsevier
Purpose As a main etiology of myocardial ischemia, coronary microvascular dysfunction
(CMD) can occur in patients with or without obstructive coronary artery disease. Currently …

Enhance the injection molding quality prediction with artificial intelligence to reach zero-defect manufacturing

B Silva, R Marques, D Faustino, P Ilheu, T Santos… - Processes, 2022 - mdpi.com
With the spread of the Industry 4.0 concept, implementing Artificial Intelligence approaches
on the shop floor that allow companies to increase their competitiveness in the market is …

[HTML][HTML] Benchmarking deep learning approaches for all-vs-all conjunction screening

E Stevenson, V Rodriguez-Fernandez… - Advances in Space …, 2023 - Elsevier
The all-vs-all problem, for which conjunctions are screened for over all possible sets of
catalogued objects, is crucial for space traffic management and space situational …

Surrounding neighborhood-based SMOTE for learning from imbalanced data sets

V García, JS Sánchez, R Martín-Félez… - Progress in Artificial …, 2012 - Springer
Many traditional approaches to pattern classification assume that the problem classes share
similar prior probabilities. However, in many real-life applications, this assumption is grossly …

Evaluation of dataflow through layers of convolutional neural networks in classification problems

M Saffar, A Kalhor - Expert Systems with Applications, 2023 - Elsevier
This paper proposes a distance-based index to evaluate the input data and the data flowing
through layers of a convolutional neural network in classification problems. This shape-less …

Adopting nonlinear activated beetle antennae search algorithm for fraud detection of public trading companies: a computational finance approach

B Liao, Z Huang, X Cao, J Li - Mathematics, 2022 - mdpi.com
With the emergence of various online trading technologies, fraudulent cases begin to occur
frequently. The problem of fraud in public trading companies is a hot topic in financial field …