Classification of Internet banking customers using data mining algorithms by Reza Radfar, Navid Nezafati, Saeid Yousefi Asli

“…In compare to other decision trees, ours is based on both optimization and accuracy factors that recognizes new potential internet banking customers using a three level classification, which is low/medium and high. …”
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MOGAN for LUAD Subtype Classification by Integrating Three Omics Data Types by Haibin He, Longxing Wang, Mingyue Ma

“…This classification method may be useful for LUAD treatment decisions.…”
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Ensemble of Efficient Vision Transformers for Insect Classification by Marius Alexandru Dinca, Dan Popescu, Loretta Ichim, Nicoleta Angelescu

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Modeling and Testing Landslide Hazard Using Decision Tree by Mutasem Sh. Alkhasawneh, Umi Kalthum Ngah, Lea Tien Tay, Nor Ashidi Mat Isa, Mohammad Subhi Al-Batah

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Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System. by Vessela Krasteva, Irena Jekova, Remo Leber, Ramun Schmid, Roger Abächerli

“…The training with European ST-T, AHA, MIT-BIH Supraventricular Arrhythmia databases found the best performance settings of all classification models: Cluster (30 features), Fuzzy (72 features), LDA (142 coefficients), CT (221 decision nodes) with top-3 best scored features: normalized current RR-interval, higher/lower frequency content ratio, beat-to-template correlation. …”
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Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction by Raja Ayu Mahessya, Dian Eka Putra, Rostam Ahmad Efendi, Rayendra, Rozi Meri, Riyan Ikhbal Salam, Dedi Mardianto, Ikhsan, Ismael, Arif Rizki Marsa

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TWD-DepNet: a deep network enhanced by three-way decisions for EEG-based depression detection by Chunlei Shi, Shouzhu Yan, Wei He, Haiyan Wang

“…To address these challenges, a novel deep learning framework TWD-DepNet is proposed, which is enhanced by Three-Way Decision (TWD) theory to enable robust EEG-based depression detection. …”
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Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes by Asnimar, Andani Achmad, Yuyun, Akbar Iskandar, Mansyur

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Organizational change in quality management aspects: a quantitative proposal for classification by André Tavares de Aquino, Jéssica Larissa Silva, Renata Maciel de Melo, Maisa Medonça Silva

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Open Data-Driven 3D Building Models for Micro-Population Mapping in a Data-Limited Setting by Kittisak Maneepong, Ryota Yamanotera, Yuki Akiyama, Hiroyuki Miyazaki, Satoshi Miyazawa, Chiaki Mizutani Akiyama

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Integrating LiDAR Point Cloud Classification and Building Footprints for Enhanced 3D LOD Building Modeling: A Deep Learning Approach by L. Lakshmanan, S. Nagarajan

“…By combining advanced LiDAR point cloud classification with Building Footprint Extraction and 3D Building modeling techniques, this approach maximizes the utility of publicly accessible LiDAR point cloud data, delivering detailed 3D models that support a wide range of spatial decision-making processes.…”
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Comparing Decision Tree and Support Vector Machines in Hospital Satisfaction by Dinda Anggraini, Indra Gamayanto, Sasono Wibowo

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Fine-Tuning Models for Histopathological Classification of Colorectal Cancer by Houda Saif ALGhafri, Chia S. Lim

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Exploring Pre-Trained Models for Skin Cancer Classification by Abdelkader Alrabai, Amira Echtioui, Fathi Kallel

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Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3 by Abhiram Sharma, R. Parvathi

“…This paper proposes a hybrid deep learning model integrating DenseNet201 and InceptionV3 to address the challenges in achieving accurate and reliable cervical cancer classification. …”
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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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Dual Model for International Roughness Index Classification and Prediction by Noelia Molinero-Pérez, Laura Montalbán-Domingo, Amalia Sanz-Benlloch, Tatiana García-Segura

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A method for extracting water from barrier lake in high mountain areas based on decision tree classification: A case study of Attabad barrier lake on the Karakoram Highway by Yousan LI, Guangchao CAO, Meiliang ZHAO, Wenqian YE, Wanqiang QI, Hongkui YANG, Yuanzhao WU, Qiang GU, Yuguo LU, Shilin WANG

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Effective Breast Cancer Classification Using Deep MLP, Feature-Fused Autoencoder and Weight-Tuned Decision Tree by Nagham Rasheed Hameed Alsaedi, Mehmet Fatih Akay

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Transformer-based ensemble model for dialectal Arabic sentiment classification by Omar Mansour, Eman Aboelela, Remon Talaat, Mahmoud Bustami

“…The study compares machine learning models such as support vector machine (SVM), naïve Bayes (NB), decision tree (DT), and extreme gradient boosting (XGBoost) with deep learning models such as convolutional neural networks (CNN) and bidirectional long short-term memory (BLSTM) networks. …”
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