Decision Tree Ensembles to Predict Coronavirus Disease 2019 Infection: A Comparative Study by Amir Ahmad, Ourooj Safi, Sharaf Malebary, Sami Alesawi, Entisar Alkayal

“…Different performance measures suggest that decision tree ensembles developed for imbalanced datasets perform better. Results also suggest that including age as a variable can improve the performance of various ensembles of decision trees.…”
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Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial Intelligence Pipeline by Zhengxiao Yang, Hao Zhou, Sudesh Srivastav, Jeffrey G. Shaffer, Kuukua E. Abraham, Samuel M. Naandam, Samuel Kakraba

“…These findings provide meaningful implications for the further exploration of grouped imbalanced data.…”
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The Role of T Cells and Macrophages in Asthma Pathogenesis: A New Perspective on Mutual Crosstalk by Xueyi Zhu, Jie Cui, La Yi, Jingjing Qin, Wuniqiemu Tulake, Fangzhou Teng, Weifeng Tang, Ying Wei, Jingcheng Dong

“…Furthermore, crosstalk between them continuously transmits proinflammatory or anti-inflammatory signals, causing the immune cell activation or repression in the immune response. Consequently, the imbalanced immune microenvironment is the major cause of the exacerbation of asthma. …”
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An overlapping sliding window and combined features based emotion recognition system for EEG signals by Shruti Garg, Rahul Kumar Patro, Soumyajit Behera, Neha Prerna Tigga, Ranjita Pandey

“…Originality/value – The present work is focussed on the less explored, complex AMIGOS (2018) data set which is imbalanced and of variable length. EEG emotion recognition-based work is widely available on simpler data sets. …”
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Penerapan Text Augmentation untuk Mengatasi Data yang Tidak Seimbang pada Klasifikasi Teks Berbahasa Indonesia by Iftitah Athiyyah Rahma, Lya Hulliyyatus Suadaa

“…Imbalanced data affects the performance and accuracy of the model because the model only focuses on the majority label data. …”
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DeepGlioSeg: advanced glioma MRI data segmentation with integrated local-global representation architecture by Ruipeng Li, Yuehui Liao, Yueqi Huang, Xiaofei Ma, Guohua Zhao, Yanbin Wang, Chen Song

“…However, this task is hindered by substantial heterogeneity within gliomas and imbalanced region distributions, posing challenges to existing segmentation methods.MethodsTo address these challenges, we propose the DeepGlioSeg network, a U-shaped architecture with skip connections for continuous contextual feature integration. …”
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Borromean states in a one-dimensional three-body system by Tobias Schnurrenberger, Lucas Happ, Maxim A. Efremov

“…It is assumed that there is no interaction between the two bosons, while the mass-imbalanced two-body subsystems can be tuned to be either bound or unbound. …”
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Exploratory analysis of the position of Chinese cities as international tourism hubs: product destination versus business environment internationalization by Xiang Feng, Ben Derudder, Xiaochuan Zhu, Haixia Zhou

“…Results are interpreted in the context of three dimensions of the internationalization of the Chinese economy: the imbalanced development of the space-economy; the uneven impact of policy plans and mechanisms; and the imprint of spatio-political hierarchies. …”
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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

“…Yet the difficulty remains since the raw data contains noise including missing values, outliers, and an imbalanced number of samples. These properties in a dataset make it challenging to implement any diagnosis model. …”
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The intellectualization of multiculturism: Implications for Positive Psychotherapy by Andre Marseille

“…However, this approach has unintentionally imbalanced our understanding of multiculturalism. This has resulted in the intellectualization of multiculturalism. …”
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Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

“…In this project, we attempt to develop and evaluate a model for the imbalanced credit card fraud dataset.…”
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An underground coal mine multi-target detection algorithm by FAN Shoujun, CHEN Xilin, WEI Liangyue, WANG Qingyu, ZHANG Shiyuan, DONG Fei, LEI Shaohua

“…Currently, underground coal mine target detection algorithms based on deep learning show poor performance in detecting complex small targets under conditions of uneven light intensity distribution, complex target environments, and imbalanced multi-class target scale distribution, often resulting in missed detection and false detection. …”
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Coordination strategies to improve COVID-19 PCR laboratory testing scale up in Nepal: An analysis. by Hannah Bakker, Arunkumar Govindakarnavar, Parvathy Krishnan Krishnakumari, Joaquim Gromicho, Fannie L Côté, Nadia Lahrichi, Priya Jha, Saugat Shrestha, Rashmi Mulmi, Nirajan Bhusal, Deepesh Stapith, Runa Jha, Lilee Shrestha, Dhamari Naidoo, Reuben Samuel, Victor Del Rio Vilas

“…This study aims to determine whether these challenges stemmed from capacity limitations and/or imbalanced sample distribution due to inadequate coordination. …”
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PID-MPC Implementation on a Chiller-Fan Coil Unit by C. Sanama, X. Xia, M. Nguepnang

“…Precooled outdoor air prevents from imbalanced loads due to fresh air intake that could delay set point tracking and increase the compressor and supply fan speeds. …”
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Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions by Hanbyul Lee, Junghyun Kim, Suyeon Kim, Jimin Yoo, Guang J. Choi, Young-Seob Jeong

“…We propose a prediction model that effectively learns from a small dataset that is imbalanced in terms of class. In order to overcome the imbalance problem, our model performs a hybrid sampling which combines synthetic minority oversampling technique (SMOTE) algorithm with edited nearest neighbor (ENN) algorithm and reduces the dimensionality of the dataset using principal component analysis (PCA) algorithm during data preprocessing. …”
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Foreign trade of the Slovak Republic with selected agrarian commodities of animal origin by Dušan Šimo

“…Agriculture on the market of the Slovak Republic overcomes imbalanced due to extra labor deployment of enterprise-level management and other staff. …”
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The Study and Analysis of city structure and its permanent development (Case study: Ardabil city) by Moharram Yousefi, Alireza Estelaji, Naser Fallah Tabar

“…Also, the highest unsuitability was in working use and then in official, residential, and educational use. This shows the imbalanced and discordant situation between urban uses that arise from carelessness of city planners.…”
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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…This gap necessitates the development of robust, multimodal approaches capable of addressing the unique challenges associated with assessing pain in clinical settings, where factors like motion artifacts, imbalanced label distribution, and sparse data further complicate pain monitoring. …”
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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…Dengan menggunakan dataset Penn-Fudan Database for Pedestrian yang mengandung imbalanced class. Penggunaan teknik sintetis oversampling dapat memperbaikki tingkat akurasi pada class minoritas. …”
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Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan) by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Indriati Indriati

“…Namun, banyak dari dataset ulasan palsu ini tidak seimbang (imbalanced dataset) sehingga dapat mempengaruhi hasil klasifikasi. …”
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