Optimal shapelets tree for time series interpretable classification by Lorenzo Bonasera, Stefano Gualandi

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The Smart Product Backlog: A Classification Model of User Stories by Mauricio Gaona-Cuevas, Victor Bucheli Guerrero, Fredy H. Vera-Rivera

“…Additionally, it had employed three binary classification techniques: logistic regression, k-nearest neighbors (k-NN), and support vector machines (SVM). …”
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Refining Graduation Classification Accuracy with Synergistic Deep Learning Models by Son Nguyen Thi Kim, Quynh Nguyen Huu, Minh Bui Tuan

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Enhanced Viral Genome Classification Using Large Language Models by Hemalatha Gunasekaran, Nesaian Reginal Wilfred Blessing, Umar Sathic, Mohammad Shahid Husain

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Optimizing Stroke Classification with Pre-Trained Deep Learning Models by Serra Aksoy, Pinar Demircioglu, Ismail Bogrekci

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Multi-criteria classification of spare parts in the steel industry by Nuno Miguel Matos Torre, Valério Antonio Pamplona Salomon, Anna Katarzyna Florek-Paszkowska

“…Originality: This research contributes a novel multi-criteria decision-making model for spare parts classification, significantly advancing maintenance efficiency and cost-effectiveness compared to traditional single-criterion approaches. …”
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Analysis of Happiness in EU Countries Using the Multi-Model Classification Based on Models of Symbolic Data by Marcin Pełka

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Probabilistic Ensemble Framework for Injury Narrative Classification by Srushti Vichare, Gaurav Nanda, Raji Sundararajan

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Predicting Employee Attrition: XAI-Powered Models for Managerial Decision-Making by İrem Tanyıldızı Baydili, Burak Tasci

“…Class imbalance was addressed via GAN-based synthetic data generation. A three-layer Transformer encoder performed binary classification, and SHapley Additive exPlanations (SHAP) analysis provided both global and local feature attributions. …”
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Binary Decision Support Using AHP: A Model for Alternative Analysis by Edvan Gomes da Silva, Fernando Rocha Moreira, Marcus Aurélio Carvalho Georg, Rildo Ribeiro dos Santos, Luiz Antônio Ribeiro Júnior, Rafael Rabelo Nunes

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Fuzzy Decision Tree Based on Fuzzy Rough Sets and Z-Number Rules by Boya Zhu, Jingqian Wang, Xiaohong Zhang

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IMPACT OF FEATURE SELECTION ON DECISION TREE AND RANDOM FOREST FOR CLASSIFYING STUDENT STUDY SUCCESS by Firdaus Amruzain Satiranandi Wibowo, Heri Retnawati, Muhammad Lintang Damar Sakti, Asma Khoirunnisa, Angella Ananta Batubara, Miftah Okta Berlian, Zulfa Safina Ibrahim, Jailani Jailani, Sumaryanto Sumaryanto, Lantip Diat Prasojo

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Vehicle-to-everything decision optimization and cloud control based on deep reinforcement learning by Zhenhai Gao, Dayu Liu, Chengyuan Zheng

“…Meanwhile, the road segment hazard classification module, utilizing both historical traffic data and real-time perception information, adopts a hazard evaluation model to classify road conditions automatically, providing real-time feedback to guide vehicle decision-making. …”
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Supervised methods of machine learning for email classification: a literature survey by Muath AlShaikh, Yasser Alrajeh, Sultan Alamri, Suhib Melhem, Ahmed Abu-Khadrah

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The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks by Nia Mauliza, Aisha Shakila Iedwan, Yoga Pristyanto, Anggit Dwi Hartanto, Arif Nur Rohman

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A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

“…Focused on the mechanism of tokenization and embeddings design as the key components in BERT’s text processing, the research also evaluates the standard benchmarks used to train classification models and analyze complex cases, possible errors and improvement algorithms thus raising the classification models accuracy. …”
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Source Code Error Understanding Using BERT for Multi-Label Classification by Md Faizul Ibne Amin, Yutaka Watanobe, Md Mostafizer Rahman, Atsushi Shirafuji

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AI for Sustainable Recycling: Efficient Model Optimization for Waste Classification Systems by Oriol Chacón-Albero, Mario Campos-Mocholí, Cédric Marco-Detchart, Vicente Julian, Jaime Andrés Rincon, Vicent Botti

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An Investigation of Data Mining Classification Methods in Classifying Students According to 2018 PISA Reading Scores by Duygu Anıl, Emrah Büyükatak

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A Novel Machine Learning Approach: Soil Temperature Ordinal Classification (STOC) by Derya Birant, Pelin Yıldırım Taşer, Cansel Küçük

“…To demonstrate the effectiveness of the proposed approach, the STOC method using five different traditional machine learning methods (Decision Tree, Naive Bayes, K-Nearest Neighbors, Support Vector Machines, and Random Forest) was applied on daily values of meteorological and soil data obtained from 16 stations in three states (Utah, Alabama, and New Mexico) of United States at five soil depths (2, 4, 8, 20, and 40 inches) between the years of 2011 and 2020. …”
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