Assessing the risk of traffic accidents in lisbon using a gradient boosting algorithm with a hybrid classification/regression approach by Nuno Alpalhão, Pedro Sarmento, Bruno Jardim, Miguel de Castro Neto

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Regional classification and logistic regression modeling for surface freeze/thaw detection on the Qinghai-Tibet Plateau using CYGNSS data by Jiaxing He, Nanshan Zheng, Rui Ding, Xuexi Liu, Zhiyong Ma

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A Crime Data Analysis of Prediction Based on Classification Approaches by Fatima Shaker Hussain, Abbas Fadhil Aljuboori

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Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis by Padmapriya K., Ezhumalai Periyathambi

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Evaluating the three-level approach of the U-smile method for imbalanced binary classification. by Barbara Więckowska, Katarzyna B Kubiak, Przemysław Guzik

“…Real-life binary classification problems often involve imbalanced datasets, where the majority class outnumbers the minority class. …”
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DETERMINING STUDENT GRADUATION BASED ON SCHOOL LOCATION USING GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION by Hendra Perdana, Neva Satyahadewi, Fritzgerald Muhammad Arsyi

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Retirement Wealth Adequacy Estimation Based on Income Group Classification: A Case Study in Malaysia by A. A. Adnan, R. I. Alaudin, A. M. Yaakob, N. Ismail

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Absorbent material composition prediction based on multi-objective regression with value stacking and selection by Shi He, Jiaying Chen, Kai Huang, Jian Mao, Kexun Li, Taikang Liu

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Comprehensive Analysis of Soil Physicochemical Properties and Optimization Strategies for “<i>Yantai Fuji 3</i>” Apple Orchards by Zhantian Zhang, Zhihan Zhang, Zhaobo Fan, Weifeng Leng, Tianjing Yang, Jie Yao, Haining Chen, Baoyou Liu

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Integrating machine learning-based classification and regression models for solvent regeneration prediction in post-combustion carbon capture: An absorption-based case by Farzin Hosseinifard, Mostafa Setak, Majid Amidpour

“…The first sub-model applies classification techniques Logistic Regression, AdaBoost, Support Vector Classifier, Gradient Boosting, Naive Bayes, Decision Tree, Random Forest, and K-Nearest Neighbors to determine the most suitable solvent based on variables such as pressure, temperature, and concentration. …”
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Effective classification for neonatal brain injury using EEG feature selection based on elastic net regression and improved crow search algorithm by Ling Li, Tao Yue, Hui Wu, Yanping Zhao, Qinmei Liu, Hairong Zhang, Wei Xu

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Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling by Chaitanya B. Pande, Pranaya Diwate, Israel R. Orimoloye, Lariyah Mohd Sidek, Arun Pratap Mishra, Kanak N. Moharir, Subodh Chandra Pal, Fahad Alshehri, Abebe Debele Tolche

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Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification by Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

“…In this paper, machine learning (ML) tools are deployed for detecting and classifying the faults in the connecting lines from 3-<inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula> inverter output to the BLDC motor during operational mode in the EV platform, considering double-line and three-phase faults. …”
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Classification of traffic accidents’ factors using TrafficRiskClassifier by Wei Sun, Lili Nurliyana Abdullah, Fatimah binti Khalid, Puteri Suhaiza binti Sulaiman

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Migraine triggers, phases, and classification using machine learning models by Anusha Reddy, Ajit Reddy

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COMPARATIVE ANALYSIS OF CLASSIFICATION MODELS FOR DETERMINING THE QUALITY OF WINE BY ITS CHEMICAL COMPOSITION by Vladimir S. Repkin, Artemy V. Li, Grigory Yu. Semenov, Nikita I. Sermavkin, Alexander S. Kovalenko, Nikolai S. Egoshin

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Determinants of Severe Late Ovarian Hyperstimulation Syndrome in Fresh Embryo Transfer Cycles Based on Integration of Decision Tree Classification and Conditional Logistic Regressi... by Lijun Lin, Xuelian Yuan, Xiaohong Li, Sarah Hunt, Ge Chen, Shan Luo, Xiaohong Li

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A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach by Yaron Ogen, Michael Denk, Cornelia Glaesser, Holger Eichstaedt

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Applicability of the regression approach for histological multi-class grading in clear cell renal cell carcinoma by Mayu Shibata, Akihiro Umezawa, Saki Aoto, Kohji Okamura, Michiyo Nasu, Ryuichi Mizuno, Mototsugu Oya, Kei Yura, Shuji Mikami

“…Using convolutional neural network models (DenseNet-121 and Inception-v3), we found that regression models predict as accurately as classification models, achieving an accuracy of 0.990 at the highest, with fewer prediction errors by two or more grades. …”
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Analysis of the Impact of Selected Dynamic Parameters of a Motor Vehicle on CO₂ Emissions Using Logistic Regression by Magdalena Rykała, Małgorzata Grzelak, Anna Borucka

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