LCANet: a model for analysis of students real-time sentiment by integrating attention mechanism and joint loss function by Pengyun Hu, Xianpiao Tang, Liu Yang, Chuijian Kong, Daoxun Xia

“…However, most previous facial expression recognition methods have problems such as missing key facial features and imbalanced class distributions in the dateset, resulting in low recognition accuracy. …”
Get full text

The availability of drugs for stable COPD treatment in China: a cross-sectional survey by Dongru Du, Xueru Hu, Qiunan Zuo, Dan Xu, Tao Zhu, Tao Fan, Jiao Yang, Weiguo Xu, Hailong Wei, Kangzhuo Baima, Ying Zhang, Yanhui Gu, Lei Chen, Fengming Luo, Yongchun Shen, Fuqiang Wen

“…Insufficient drug supply and imbalanced drug availability among different hospitals are major barriers that warrant further improvements.…”
Get full text

Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

“…Still, multinomial classification is hampered by imbalanced class frequencies. The most discriminatory variables were responsiveness to levodopa, vertical gaze palsy, and the volumes of subcortical structures, including the red nucleus. …”
Get full text

An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification by Aijaz Ahmad Reshi, Furqan Rustam, Arif Mehmood, Abdulaziz Alhossan, Ziyad Alrabiah, Ajaz Ahmad, Hessa Alsuwailem, Gyu Sang Choi

“…To deal with these complexities such as the availability of a very-small-sized and imbalanced dataset with image-quality issues, the dataset has been preprocessed in different phases using different techniques to achieve an effective training dataset for the proposed CNN model to attain its best performance. …”
Get full text

Internal and external influences on role stereotype adherence and gender dynamics on engineering design teams by Anastasia M. Schauer, Jessie Liu, Christopher Saldaña, Katherine Fu

“…Abstract Background Even among women who persist in the gender-imbalanced engineering fields, women on engineering design teams tend to take on non-technical roles. …”
Get full text

Venereal Diseases Treatment for Merauke’s Marind (Marind-Anim) Tribe in the Dutch Colonial Period by Rosmaida Sinaga, Hafnita Sari Dewi Lubis, Yushar Tanjung, Lister Eva Simangunsong

“…The results shows that the cause of the increasing number patients who had venereal disease in the Marind tribe, Merauke, was related to their traditional understanding which legalized free sex and deviant sexual activities in the Marind tribe. The imbalanced power relations between men and their wives and between men and adolescence men causing venereal diseases and sexual perversions in the Marind Tribe. …”
Get full text

Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

“…The model may also utilize preprocessing techniques which are Gaussian smoothing for handling imbalanced data, such as oversampling or under sampling, as well as feature extraction methods such as Local Binary Pattern to identify the most relevant input features for the prediction task. …”
Get full text

A Spatio-Temporal Deep Learning Model for Automatic Arctic Sea Ice Classification with Sentinel-1 SAR Imagery by Li Zhao, Yufeng Zhou, Wei Zhong, Cheng Jin, Bo Liu, Fangzhao Li

“…However, sea ice classification faces two vital challenges: (1) it is difficult to distinguish sea ice types with close developmental stages solely from SAR images and (2) an imbalanced sea ice dataset has a significantly negative effect on ice classification model performance. …”
Get full text

Specialty choice among final-year medical students and house officers in Nigeria: implications for anaesthesia practice – a cross-sectional study by Thankgod Chukwunnonso Okonkwo, Gbolahan Deji Olatunji, Victor Mayowa Adeleye, Mukaila Oyegbade Akinwale

“…Objectives Nigeria’s doctor shortage is worsening with mass exodus and imbalanced specialty distribution. Anaesthesia faces particularly critical shortages. …”
Get full text

How to Coordinate Urban Ecological Networks and Street Green Space Construction? Insights from a Multi-Scale Perspective by Shujun Hou, Ying Yu, Taeyeol Jung, Xin Han

“…Rapid socio-economic development and imbalanced ecosystem conservation have heightened the risk of species extinction, reduced urban climate adaptability, and threatened human health and well-being. …”
Get full text

Enhanced Fetal Arrhythmia Classification by Non-Invasive ECG Using Cross Domain Feature and Spatial Differences Windows Information by Gede Angga Pradipta, Putu Desiana Wulaning Ayu, Made Liandana, Dandy Pramana Hostiadi

“…Finally, we applied oversampling techniques to address the issue of imbalanced data. Based on the results of an in-depth experimental analysis, it was found that the application of window sampling for data expansion produced favorable outcomes, particularly at a window size of 500. …”
Get full text

Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis by Fang-Chen Gong, Ran Ji, Yu-Ming Wang, Zhi-Tao Yang, Ying Chen, En-Qiang Mao, Er-Zhen Chen

“…This study revealed imbalanced immune responses at the transcriptomic level during early sepsis and identified nine genes as potential biomarkers for sepsis.…”
Get full text

Image-Based Detection and Classification of Malaria Parasites and Leukocytes with Quality Assessment of Romanowsky-Stained Blood Smears by Jhonathan Sora-Cardenas, Wendy M. Fong-Amaris, Cesar A. Salazar-Centeno, Alejandro Castañeda, Oscar D. Martínez-Bernal, Daniel R. Suárez, Carol Martínez

“…The F1-score—a metric balancing precision (correctly identified positives) and recall (correctly detected instances out of actual positives)—is especially valuable for assessing models on imbalanced datasets. In parasite stage classification, CNN achieved F1-scores of 85% for trophozoites, 88% for schizonts, and 83% for gametocytes. …”
Get full text

Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

“…These results highlight the effectiveness of our technique in predicting asthma risk and their applicability to imbalanced, data-starved medical contexts.…”
Get full text

Event-related theta synchronization over sensorimotor areas differs between younger and older adults and is related to bimanual motor control by Andreas Wulff-Abramsson, Ana Zvornik, Keenie Ayla Andersen, Yan Yang, Mikael Novén, Jesper Lundbye-Jensen, Leo Tomasevic, Anke Ninija Karabanov

“…Together, the results show that theta ERS over sensorimotor areas is a strong, age-sensitive marker of dynamic pinch force adjustments showing an age-related reduction in specificity with reduced context-dependent modulations and more imbalanced bimanual activation.…”
Get full text

Glaucoma detection and staging from visual field images using machine learning techniques. by Nahida Akter, Jack Gordon, Sherry Li, Mikki Poon, Stuart Perry, John Fletcher, Thomas Chan, Andrew White, Maitreyee Roy

“…The two popular pre-trained DL models: ResNet18 and VGG16, were used to train the PD images using five-fold cross-validation (CV) and observed the performance using balanced, pre-augmented data (n = 476 images), imbalanced original data (n = 265) and feature extraction. …”
Get full text

Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study by William Trevena, Xiang Zhong, Michelle Alvarado, Alexander Semenov, Alp Oktay, Devin Devlin, Aarya Yogesh Gohil, Sai Harsha Chittimouju

“…The dataset included 10.7% (107/1000) DDEs, emphasizing the models’ robustness in an imbalanced data context. ConclusionsThis study demonstrated the effectiveness of open- and closed-source LLMs, such as GPT-4o and BART, for detecting DDEs and their root causes from publicly accessible data through zero-shot classification. …”
Get full text

UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

“…The incorporation of Focal Tversky Loss further enhances the model's ability to handle imbalanced datasets, improving detection accuracy for rare and severe disease categories. …”
Get full text

Prediksi Mahasiswa Drop-Out Di Universitas XYZ by Tubagus Ahmad Marzuqi, Evelline Kristiani, Marcel

“…Prior to model building, the SMOTE method was applied to address the issue of imbalanced data. The results indicate that the predictive model using the Random Forest algorithm achieved an accuracy of 99.67%. …”
Get full text

Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study by Eman H. Alkhammash

“…Its superior performance is especially reflected in the macro average, where it surpasses both YOLO11n and YOLO11m, making it an effective model for datasets with imbalanced classes, such as fire classes. The YOLO11 variants achieved high performance across all classes. …”
Get full text