Regularization for Deep Imbalanced Regression Based on Quantitative Relationship by Heng Zhao, Jiehao Chen, Xianghua Fu

“…The imbalanced datasets pose challenges for classification and regression tasks. Compared to imbalanced classification, imbalanced regression deals with continuous labels. …”
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An Application of Fuzzy Multiple Linear Regression in Biological Paradigm by Saima Mustafa, Shumaila Ghaffar, Murrium Bibi, Muhammad Ghaffar Khan, Qaisara Praveen, Harish Garg, Mahamane Saminou

“…We have used multiple regression and then converted the said technique into three fuzzy cases. …”
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The use of ridge regression for estimating the severity of acute pancreatitis by D. V. Cherdantsev, A. V. Stroev, E. S. Mangalova, N. V. Kononova, O. V. Chubarova

“…The classifier of three degrees of acute pancreatitis severity was developed. …”
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RuleKit2: Faster and simpler rule learning by Adam Gudyś, Cezary Maszczyk, Joanna Badura, Adam Grzelak, Marek Sikora, Łukasz Wróbel

“…Our package for rule-based data analysis, RuleKit, has proven its effectiveness in classification, regression, and survival problems. Here we present its second version. …”
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Epilepsy: classification of remission of seizures and disease, their clinical and psychological and neurophysiological rationale, the questions of diagnostics and pharmacotherapy by S. A. Gromov, N. A. Sivakova, E. A. Korsakova, M. F. Kataeva

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Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization by Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda, Tora Fahrudin, Rini Handayani

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Multisource data fusion for enhanced gold mineral prospectivity mapping in Yagba West, Kogi State: a machine learning approach by Momohjimoh Abdulsalami, Joseph Omonile, Fahad Abubakar, Abdullateef Aliyu, kabire Yahaya

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A Novel Model for Noninvasive Haemoglobin Detection Based on Visibility Network and Clustering Network for Multi-Wavelength PPG Signals by Lei Liu, Ziyi Wang, Xiaohan Zhang, Yan Zhuang, Yongbo Liang

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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

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DNA-Cytometry of Progressive and Regressive Cervical Intraepithelial Neoplasia by Antonius G. J. M. Hanselaar, Neal Poulin, Martin M. M. Pahlplatz, David Garner, Calum MacAulay, Jasenka Matisic, Jean LeRiche, Branko Palcic

“…The second group of 26 smears with dysplastic changes had shown regression to normal (regressive group). The goal of the study was to determine if differences in cytometric features existed between the progressive and regressive groups. …”
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Remote Sensing of Particle Absorption Coefficient of Pigments Using a Two-Stage Framework Integrating Optical Classification and Machine Learning by Xietian Xia, Shaohua Lei, Hui Lu, Zenghui Xu, Xiang Li, Xing Chen, Niancheng Hong, Jie Xu, Kun Shi, Jiacong Huang

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Full-span named entity recognition with boundary regression by Junhui Yu, Yanping Chen, Qinghua Zheng, Yuefei Wu, Ping Chen

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Optimizing Imbalanced Data Classification: Under Sampling Algorithm Strategy with Classification Combination by Nauval Dwi Primadya, Adhitya Nugraha, Sahrul Yudha Fahrezi, Ardytha Luthfiarta

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Multispectral UAV Image Classification of Jimson Weed (<i>Datura stramonium</i> L.) in Common Bean (<i>Phaseolus vulgaris</i> L.) by Marlies Lauwers, Benny De Cauwer, David Nuyttens, Wouter H. Maes, Jan G. Pieters

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Nomogram Incorporating Inflammatory Index, Pathology, and Molecular Classification for Predicting Recurrence in Patients with Stage I-III Endometrial Cancer: A Multi-Institutional... by Xiao Y, Zheng Y, Tu Y, Tian C, Yu J, Lin H, Wen T, Jiang P, Wang Y

“…Independent risk factors for RFS were identified using univariate and multivariate Cox regression analyses, and a nomogram was established. …”
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MACHINE LEARNING BASED PREDICTION AND INSIGHTS OF DIABETES DISEASE: PIMA INDIAN AND FRANKFURT DATASETS by Mohammad Raquibul Hossain, Md. Jamal Hossain, Md. Mijanoor Rahman, Mohammad Manjur Alam

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A machine learning–assisted analysis of essential oil constituents targeting Salmonella Typhimurium by Maria Lagerholm, Mirjana Pešić, Miloš Jovanović, Marija Kuzmanović, Viktor Nedović

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Forecasting Financial Literacy Levels with Respect to Consumer Shopping Behaviour by Eva Kicova, Lucia Svabova, Olga Ponisciakova, Zuzana Rosnerova

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M5 Soft Computing Techniques for Assessment of Soil Liquefaction by Abu Sayed, Md Rahman

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Stratified Multisource Optical Coherence Tomography Integration and Cross-Pathology Validation Framework for Automated Retinal Diagnostics by Michael Sher, Riah Sharma, David Remyes, Daniel Nasef, Demarcus Nasef, Milan Toma

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