DeepMoIC: multi-omics data integration via deep graph convolutional networks for cancer subtype classification by Jiecheng Wu, Zhaoliang Chen, Shunxin Xiao, Genggeng Liu, Wenjie Wu, Shiping Wang

“…These intractable problems lead to challenges in exploring intact representations from heterogeneous data, which often result in inaccuracies in multi-omics information analysis. …”
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OPTISTACK: A Hybrid Ensemble Learning and XAI-Based Approach for Malware Detection in Compressed Files by Khaled Mahmud Sujon, Rohayanti Binti Hassan, M. Abdullah-Al-Wadud, Jia Uddin

“…The increasing reliance on compressed file formats for data storage and transmission has made them attractive vectors for malware propagation, as their structural complexity enables evasion of conventional detection mechanisms. …”
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Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification by Abdulaziz AlMohimeed

“…Hybrid models are developed based on Transformer models: Vision Transformer (ViT), Data-efficient Image Transformer (DeiT), and Swin Transformer are used to extract deep features from images, Principal Component Analysis (PCA) is used to reduce the complexity of extracted features, and Machine Learning (ML) models are used as classifiers to enhance performance. …”
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Integrating clinical data and genetic susceptibility to elucidate the relationship between systemic lupus erythematosus and human cytomegalovirus infection by Xin Luo, Liuliu Quan, Qingting Lin, Huiteng Rong, Yue Liu, Jiaqi Meng, Xin You

“…Therefore, in the present study, we aimed to elucidate the relationship between HCMV and autoantibodies in patients with SLE by integrating clinical data and genetic susceptibility. Methods Using various statistical methods, we conducted a retrospective analysis of the spectrum of SLE autoantibodies and HCMV infections among patients hospitalized at our center over the past 10 years. …”
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Detection of Biased Phrases in the Wiki Neutrality Corpus for Fairer Digital Content Management Using Artificial Intelligence by Abdullah, Muhammad Ateeb Ather, Olga Kolesnikova, Grigori Sidorov

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APPLICATION OF THE SUPPORT VECTOR MACHINE, LIGHT GRADIENT BOOSTING MACHINE, ADAPTIVE BOOSTING, AND HYBRID ADABOOST-SVM MODEL ON CUSTOMERS CHURN DATA by Felice Elena, Robyn Irawan, Benny Yong

“…For the purpose of minimizing the number of churning customers, the company should perform a customer churn analysis. Customer churn analysis is the process of identifying a pattern or trend in churning customers. …”
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Analisis Kebutuhan Pengembangan Multimedia Pembelajaran Berbasis Website pada Mata Kuliah Media Audio Radio by Sulia Ningsih, Arief Qosim, Rini Sundari

“… This research aims to present an analysis of the needs related to developing website-based multimedia learning tools for the Audio Radio Media course within the Educational Technology Study Program at Baturaja University. …”
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Classifying the Emotional Polarity of Digital Communications Using Large Language Models by Vincent Qin

“… Large Language Models (LLMs) employ deep learning algorithms to generalize patterns in data. …”
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Application of machine learning models in predictive maintenance of Francis hydraulic turbines by Júlio César Silva de Souza, Oswaldo Honorato Júnior, Geraldo Lúcio Tiago Filho, Otávio Augusto Salgado Carpinteiro, Hailton Silveira Domingues Biancardine Júnior, Ivan Felipe Silva dos Santos

“…This article proposes a cavitation monitoring system based on the analysis of vibration spectra via two Machine Learning (ML) models: a Multilayer Perceptron (MLP) neural network and a Radial Basis Function (RBF) neural network. …”
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Analyzing Fairness of Computer Vision and Natural Language Processing Models by Ahmed Rashed, Abdelkrim Kallich, Mohamed Eltayeb

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Learning While Learning: Psychology Case Studies for Teaching Regression by Ciaran Evans, Alex Reinhart, Erin Cooley, William Cipolli

“…Both datasets (and their original research papers) are accessible to students, and because of their context, students can learn about data collection, measurement, and the use of statistics when studying complex social topics, while using the data to learn about regression analysis. …”
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Tools for forecasting regional economic growth using big data and business intelligence technologies by Afanasev Kirill, Kalinin Aleksandr

“…The research methodology includes modified machine learning algorithms specifically adapted for regional data analysis, using both structured and unstructured information sources. …”
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Single-Cell Sequencing and Machine Learning Integration to Identify Candidate Biomarkers in Psoriasis: INSIG1 by Zhou X, Ning J, Cai R, Liu J, Yang H, Bai Y

“…In addition, tetrandrine shows promise as a potential treatment for the condition.Keywords: psoriasis, single-cell RNA sequencing, machine learning, INSIG1, pseudotime analysis…”
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Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression by Sepehr Aghajanian, Fateme Mohammadifard, Ida Mohammadi, Shahryar Rajai Firouzabadi, Ali Baradaran Bagheri, Elham Moases Ghaffary, Omid Mirmosayyeb

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Integrated single-cell and bulk transcriptomic analysis identifies a novel macrophage subtype associated with poor prognosis in breast cancer by Qing Wang, Yushuai Yu, Liqiong Ruan, Mingyao Huang, Wei Chen, Xiaomei Sun, Jun Liu, Zirong Jiang

“…Methods We performed an integrated analysis of single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (RNA-seq) data from BC patients to comprehensively characterize TAM heterogeneity. …”
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Canopy height mapping in French Guiana using multi-source satellite data and environmental information in a U-Net architecture by Kamel Lahssini, Nicolas Baghdadi, Guerric le Maire, Guerric le Maire, Ibrahim Fayad, Ibrahim Fayad, Ludovic Villard

“…In this study, we present a deep learning application to map canopy height in French Guiana using freely available multi-source satellite data (optical and radar) and complementary environmental information. …”
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Artificial Intelligence Teaching System and Data Processing Method Based on Big Data by Bo Xu

“…Based on relevant researches on domestic and foreign related learning analysis and common big data analysis methods, combined with actual learning evaluation goals, this paper proposes an artificial intelligence teaching system using big data analysis methods and a modeling process framework for online learning evaluation and uses student data to carry out predictive evaluation modeling to evaluate student learning outcomes. …”
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CONCEPTUAL MODEL OF SYSTEM ANALYSIS OF THE QUALITY OF VOCATIONAL TEACHER TRAINING by Oleksandr Derevyanchuk

“…Special attention is paid to the analysis of students’ educational achievements, learning styles, employers’ requirements, digital technologies, methods of educational data mining, as well as resource provision and implementation of STEM projects. …”
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Annotated image dataset with different stages of European pear rust for UAV-based automated symptom detection in orchardsMendeley Data by Virginia Maß, Pendar Alirezazadeh, Johannes Seidl-Schulz, Matthias Leipnitz, Eric Fritzsche, Rasheed Ali Adam Ibraheem, Martin Geyer, Michael Pflanz, Stefanie Reim

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Computerized cardiotocography analysis during labor – A state‐of‐the‐art review by Imane Ben M'Barek, Grégoire Jauvion, Pierre‐François Ceccaldi

“…In the last decade, the availability of large clinical databases as well as the emergence of machine learning and deep learning methods in healthcare has led to a surge of studies applying those methods to cardiotocography signals analysis. …”
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