Automatic social media news classification: a topic modeling approach by Daniel Amador, Carlos Gamboa-Venegas, Ernesto García, Andrés Segura-Castillo

“… Social media has modified the way that people access news and debate about public issues. Although access to a myriad of data sources can be considered an advantage, some new challenges have emerged, as issues about content legitimacy and veracity start to prevail among users. …”
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A novel oversampling method based on Wasserstein CGAN for imbalanced classification by Hongfang Zhou, Heng Pan, Kangyun Zheng, Zongling Wu, Qingyu Xiang

“…Abstract Class imbalance is a crucial challenge in classification tasks, and in recent years, with the advancements in deep learning, research on oversampling techniques based on GANs has proliferated. …”
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Application of bilateral fusion model based on CNN in hyperspectral image classification by Hongmin GAO, Xueying CAO, Yao YANG, Zaijun HUA, Chenming LI

“…Aiming at the issues of decreasing spatial resolution and feature loss caused by pooling operation in depth CNN-based hyperspectral image classification algorithm,a bilateral fusion block network （DFBN）composed of bilateral fusion blocks was designed.The upper structure of bilateral fusion block was constituted by 1×1 convolution and hyperlink,which was used to transfer local spatial characteristics.The lower structure was constituted by pooling layer,convolutional layer,deconvolution layer and upsampling to enhance the characteristics of efficient discrimination.Experimental results on three benchmark hyperspectral image data sets illustrate that the model is superior to other similar classification models.…”
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Sentiment Analysis on Android Applications using MediaPipe for Text Classification by Kadek Febry Ardika, Joko Dwi Santoso

“…Sentiment analysis is an important process for understanding public opinion on various issues discussed on social media. This study aims to develop an Android application that utilizes MediaPipe for text classification based on sentiment. …”
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Alzheimer's disease image classification based on enhanced residual attention network. by Xiaoli Li, Bairui Gong, Xinfang Chen, Hui Li, Guoming Yuan

“…By combining residual learning, attention mechanism, and soft thresholding, the feature representation ability and classification accuracy of the model have been improved. …”
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Pyramidal Part-Based Model for Partial Occlusion Handling in Pedestrian Classification by M. Thu, N. Suvonvorn

“…Pedestrian detection and classification are of increased interest in the intelligent transportation system (ITS), and among the challenging issues, we can find limitations of tiny and occluded appearances, large variation of human pose, cluttered background, and complex environment. …”
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Financial Solvency of Russian Regions in 2010-2014: Continued Classification Analysis by I. A. Vinyukov, E. V. Maevsky, P. V. Jagodowsky

“…This article is a continuation of the first work done on the State task of the Financial University of 2013 [1-3], in which the classification of the regions of the Russian Federation according to the state statistics for 2005-2011 was proposed. …”
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Bayesian weighted random forest for classification of high-dimensional genomics data by Oyebayo Ridwan Olaniran, Mohd Asrul A. Abdullah

“…In this paper, a full Bayesian weighted probabilistic model is developed for random classification trees. The new model Bayesian Weighted Random Classification Forest (BWRCF) arises from the modification of the existing random classification forest in two ways. …”
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Politics of National Red List Classifications: Challenging the Reclassification of Araucaria araucana by Robert Petitpas

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Plant-Based Fermented Foods: Classification, Biochemical Transformations, and Health Benefits by Beini Peng, Penghui Nie, Hengyi Xu

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Classification of User Expressions on Social Media Using LSTM and GRU Models by I Gede Putra Mas Yusadara, I Gusti Ayu Desi Saryanti

“…Therefore, emotion analysis plays a crucial role in understanding users' conditions regarding various issues and social events. This study aims to compare the performance of emotion classification models in analyzing and identifying users' emotions on social media. …”
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NEXT-GENERATION SEQUENCING IN CANCER: GENETIC DIAGNOSIS, RISK PREDICTION AND CLASSIFICATION by Özkan Özdemir

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A classification and summarization method for analysis of research activities in an academic faculty by Eduardo Rocha Loures, Yongxin Liao, Osiris Canciglieri Junior

“…The investigation of the existing issues in the current research activities is usually considered as the primary and challenging step. …”
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KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification by Muhaimin Ilyas, Syaiful Anam, Trisilowati Trisilowati

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Multiple Classifier System for Handling Imbalanced and Overlapping Datasets on Multiclass Classification by Dessy Siahaan, Anwar Fitrianto, Khairil Anwar Notodiputro

“…The performance of classification models suffer when the dataset contains imbalanced and overlapping data. …”
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MSA K-BERT: A Method for Medical Text Intent Classification by Yujia Yuan, Guan Xi

“…Improving medical text intent classification accuracy can assist the medical field in achieving more precise diagnoses. …”
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Analysis of breast cancer classification and segmentation techniques: A comprehensive review by Malaya Kumar Nath, Kohilavani Sundararajan, Shanmathi Mathivanan, Bhagyashree Thandapani

“…This study identifies ongoing issues essential for driving future advancements in BC detection and segmentation to improve clinical outcomes.…”
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The issue of developing soft skills and social maturity in the process of training future teachers and psychologists by O. V. Zabrodina, K. G. Repina

“…The issues of soft skills and social maturity development in the process of professional training of future teachers, artists, and psychologists have been studied. …”
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A multi-faceted review of wind turbine optimization techniques: Metaheuristics and related issues by Hegazy Rezk, Abdul Ghani Olabi, Tabbi Wilberforce, Enas Taha Sayed

“…First, the basics of the wind turbine conversion systems, including the models and classifications, are presented. Then, the main problems related to wind energy are reported. …”
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A comprehensive dataset of mandarin leaf images for classificationMendeley Data by Mushfiqur Rahman, Imtiaz Ahmed, Mahin Ahmed

“…The research is devoted to mandarin leaf classification using a deep learning approach. Citrus cultivation has a big market in Bangladesh. …”
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