Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration by Gudi V. Chandra Sekhar, Chekol Alemu

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Gaussian Copula Regression Modeling for Marker Classification Metrics with Competing Risk Outcomes by Alejandro Román Vásquez, Gabriel Escarela, Hortensia Josefina Reyes-Cervantes, Gabriel Núñez-Antonio

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AudioProtoPNet: An interpretable deep learning model for bird sound classification by René Heinrich, Lukas Rauch, Bernhard Sick, Christoph Scholz

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An AI-Based Decision Support Framework for Clinical Screening of Iron Deficiency Anemia and Thalassemia by Kasikrit Damkliang, Thakerng Wongsirichot, Komsai Suwanno, Chutima Cheranakhorn, Sorawat Sangkeaw, Satanun Sottisataworn

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System Optimization of Talent Life Cycle Management Platform Based on Decision Tree Model by Jiaonan Han

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Optimization of Management Mode of Small- and Medium-Sized Enterprises Based on Decision Tree Model by Yuzhu Diao, Qing Zhang

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Construction and Simulation of a Strategic HR Decision Model Based on Recurrent Neural Network by Xiaorong Li, Lijun Zhang, Dongchen Li, Dan Guo

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A Stepwise decision tree model for differential diagnosis of Kimura’s disease in the head and neck by Rui Luo, Gongxin Yang, Huimin Shi, Yining He, Yongshun Han, Zhen Tian, Yingwei Wu

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Advanced Machine Learning for Preschooler Magnetic Resonance Imaging Analysis in Classification of Anxiety Disorders by Salik Mian, Pranav Kunderu, Shivm Patel

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CLASSYFYING STUDENTS DECISION MAKING ABILITY USING K-NEAREST NEIGHBOR FOR DETERMINING STUDENTS SUPPLEMENTARY LEARNING by Giyanti Giyanti, Rina Oktaviyanthi, Usep Sholahudin

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ADAMAEX—Alzheimer’s disease classification via attention-enhanced autoencoders and XAI by Doorgeshwaree Bootun, Muhammad Muzzammil Auzine, Noor Ayesha, Salma Idris, Tanzila Saba, Maleika Heenaye-Mamode Khan

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Tree species classification using intensity patterns from individual tree point clouds by Andreas Tockner, Ralf Kraßnitzer, Christoph Gollob, Sarah Witzmann, Tim Ritter, Arne Nothdurft

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Comparing Classification Algorithms to Recognize Selected Gestures Based on Microsoft Azure Kinect Joint Data by Marc Funken, Thomas Hanne

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Wavelet-Based ensembled intelligent technique for a better quality of fault detection and classification in AC microgrids by Nityananda Giri, Pravati Nayak, Ranjan Kumar Mallick, Sairam Mishra, Aymen Flah, Habib Kraiem, Lukas Prokop, Mohammad Kanan

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DDoS attack detection method based on improved convolutional long short-term memory and three-way decision in SDN. by Haizhen Wang, Xiaojing Yang, Na Jia

“…It is based on the Convolutional Long Short-Term Memory Network (ConvLSTM) and three-way decision (TWD). It solves the problem of insufficient feature extraction in SDN environment and improves classification accuracy. …”
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Keratoconus disease classification with multimodel fusion and vision transformer: a pretrained model approach by Shokufeh Yaraghi, Toktam Khatibi

“…Objective Our objective is to develop a novel keratoconus image classification system that leverages multiple pretrained models and a transformer architecture to achieve state-of-the-art performance in detecting keratoconus.Methods and analysis Three pretrained models were used to extract features from the input images. …”
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Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors by Vatsala Anand, Ajay Khajuria, Rupendra Kumar Pachauri, Vinay Gupta

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Preoperative MRI-based deep learning reconstruction and classification model for assessing rectal cancer by Yuan Yuan, Shengnan Ren, Haidi Lu, Fangying Chen, Lei Xiang, Ryan Chamberlain, Chengwei Shao, Jianping Lu, Fu Shen, Luguang Chen

“…The image quality scores, SNR, and CNR values of DLR image set were significantly larger than those of original and filter enhancement image sets (all p values < 0.05) for all the three sequences, respectively. The deep learning classification models with DLR achieved good discrimination of the TN stage, with area under the curve (AUC) values of 0.937 (95% CI 0.839–0.977) and 0.824 (95% CI 0.684–0.913) in the test sets, respectively. …”
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Multiple model visual feature embedding and selection method for an efficient ocular disease classification by Isha Kansal, Vikas Khullar, Preeti Sharma, Supreet Singh, Junainah Abd Hamid, A. Johnson Santhosh

“…Initial experiments utilized transfer learning models such as DenseNet201, EfficientNetB3, and InceptionResNetV2. …”
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BloomDT - An improved privacy-preserving decision tree inference scheme by Sean Lalla, Rongxing Lu, Yunguo Guan, Songnian Zhang

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