Improving Data Cleaning by Learning From Unstructured Textual Data by Rihem Nasfi, Guy de Tre, Antoon Bronselaer

“…In data analysis, a significant amount of erroneous or incomplete data can hinder informed organizational decisions prompting the need for automated data cleaning. …”
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A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming by Muhammad Babar

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Brain functional connectivity analysis of fMRI-based Alzheimer's disease data by Maitha S. Alarjani, Badar A. Almarri

“…Manual classification of such multifaceted and massive data of brain volumes is operationally inefficient and vulnerable to human errors. …”
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Investigating banks’ social media content and consumer reactions with machine learning by Gombos Nóra, Julianna, Vlaszov Artúr, Bíró-Szigeti Szilvia, Molontay Roland

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Stacking data analysis method for Langmuir multi-probe payload by Jin Wang, Jin Wang, Duan Zhang, Qinghe Zhang, Qinghe Zhang, Xinyao Xie, Fangye Zou, Qingfu Du, Qingfu Du, V. Manu, Yanjv Sun

“…This study uses a stacking algorithm to process m-NLP data and incorporates the International Reference Ionosphere (IRI) model to correct the predicted electron density (Ne) values. …”
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Comparative Analysis of Machine Learning Models for Android Malware Detection by Adem Korkmaz, Selma Bulut

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Herschel vision: A hyperspectral image processing software for data preparation in machine learning pipelines by Billy G. Ram, Sunil GC, Xin Sun

“…Herschel Vision can handle proximally recorded hyperspectral data for curation of machine learning and deep learning training datasets.…”
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Editorial: Geometries of learning by Yunye Gong, Pavan Turaga, P. Thomas Fletcher, Ajay Divakaran

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Innovative Learning in a Digital Forensics Laboratory: Tools and Techniques for Data Recovery by Carlos Cruz

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Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data by Mahdi Zareei, Carlos Alonzo Lopez Castaneda, Faisal Alanazi, Fausto Granda, Jesus Arturo Perez-Diaz

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From genetic data to kinship clarity: employing machine learning for detecting incestuous relations by Dejan Šorgić, Aleksandra Stefanović, Mladen Popović, Dušan Keckarević

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Pioneering precision in lumbar spine MRI segmentation with advanced deep learning and data enhancement by Istiak Ahmed, Md. Tanzim Hossain, Md. Zahirul Islam Nahid, Kazi Shahriar Sanjid, Md. Shakib Shahariar Junayed, M. Monir Uddin, Mohammad Monirujjaman Khan

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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

Subjects: “…Data Mining…”
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A Comprehensive Analysis of Data Augmentation Methods for Speech Emotion Recognition by Umut Avci

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Analysis of goal, feedback and rewards on sustained attention via machine learning by Nethali Fernando, Nethali Fernando, Matthew Robison, Matthew Robison, Pedro D. Maia, Pedro D. Maia

“…Subjects were also presented with different types of goal, feedback, and reward.MethodsIn this study, we revisit this experimental data and solve three families of machine learning problems: (i) RT-regression problems, to predict subjects' RTs using all available data, (ii) RT-classification problems, to classify responses more broadly as attentive, semi-attentive, and inattentive, and (iii) to predict the subjects' experimental conditions from physiological data.ResultsAfter establishing that regressing RTs is in general a difficult task, we achieve better results classifying them in broader categories. …”
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Leveraging machine learning for data-driven building energy rate prediction by Nasim Eslamirad, Mehdi Golamnia, Payam Sajadi, Francesco Pilla

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Learning Analytics: A Data Mining and Machine Learning Perspective by Salam Ullah Khan, Kifayat Ullah, Mahvash Arsalan Lodhi, Sadaqat Ali Khan Bangash

“…The process involves collecting, analysis of data and reporting the results to understand and optimize the learning experience.  …”
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MetaboLabPy—An Open-Source Software Package for Metabolomics NMR Data Processing and Metabolic Tracer Data Analysis by Christian Ludwig

“…The software implements a complete workflow for NMR data pre-processing to prepare a series of 1D-NMR spectra for multi-variate statistical data analysis. …”
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High-resolution Solar Image Registration Using Unsupervised Deep Learning by Hao Zhang, Bo Liang, Xiaoli Yan, Song Feng, Ding Yuan, Yunfang Cai, Wei Dai

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Enhancing dance education through convolutional neural networks and blended learning by Zhiping Zhang, Wei Wang

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