Enhancing Hierarchical Classification in Tree-Based Models Using Level-Wise Entropy Adjustment by Olga Narushynska, Anastasiya Doroshenko, Vasyl Teslyuk, Volodymyr Antoniv, Maksym Arzubov

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Hybrid 3B Net and EfficientNetB2 Model for Multi-Class Brain Tumor Classification by R. Preetha, M. Jasmine Pemeena Priyadarsini, J. S. Nisha

“…The integration of EfficientNetB2 for feature extraction further enhanced the model’s classification capabilities. These results underline the effectiveness of our 3B Net architecture, suggesting its potential for deployment in automated brain tumor diagnosis and improvement in clinical decision-making processes.…”
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PREDICTION OF PROSPECTIVE NEW STUDENTS USING DECISION TREE, RANDOM FOREST, AND NAIVE BAYES by Yulrio Brianorman, Sucipto Sucipto

“…This research's data originated from the 2020 new student admissions at a prominent private university in Pontianak city. The three chosen classification methods are the decision tree, random forest, and naïve-bayes. …”
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Applying fuzzy analytic hierarchy process to select models developed by abstraction and decision fusion architecture (case study: classification of Persian handwritten characters) by Mohammad Safaei, Somaye Moghari, Mohammad Kazem Fallah, Mehrdad Ghaznavi

“…The proposed methodology has three main phases: 1) developing models based on the ADFA, 2) defining evaluation criteria, and 3) selecting models using the Fuzzy Analytic Hierarchy Process (FAHP).Findings: The experimental results of this research demonstrate the effectiveness of this approach in developing suitable machine learning models for applications related to wearable devices, such as smart glasses.Originality/Value: This research introduces three innovations: 1) the use of ADFA for developing models for the classification of Persian handwritten characters, 2) defining a new abstraction for summarizing handwritten character images, and 3) developing a fuzzy multi-criteria decision-making approach for mapping the developed models in the ADFA to real-world applications.…”
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Financial Sentiment Analysis and Classification: A Comparative Study of Fine-Tuned Deep Learning Models by Dimitrios K. Nasiopoulos, Konstantinos I. Roumeliotis, Damianos P. Sakas, Kanellos Toudas, Panagiotis Reklitis

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Contestable AI for criminal intelligence analysis: improving decision-making through semantic modeling and human oversight by Falk Maoro, Michaela Geierhos

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Deterministic and Stochastic Machine Learning Classification Models: A Comparative Study Applied to Companies’ Capital Structures by Joseph F. Hair, Luiz Paulo Fávero, Wilson Tarantin Junior, Alexandre Duarte

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AI-Based Prediction of Visual Performance in Rhythmic Gymnasts Using Eye-Tracking Data and Decision Tree Models by Ricardo Bernardez-Vilaboa, F. Javier Povedano-Montero, José Ramon Trillo, Alicia Ruiz-Pomeda, Gema Martínez-Florentín, Juan E. Cedrún-Sánchez

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Classification of Red Foxes: Logistic Regression and SVM with VGG-16, VGG-19, and Inception V3 by Brian Sabayu, Imam Yuadi

“…Deep learning models demonstrate a high degree of accuracy in image classification. …”
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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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Classification of Toraja, Batak and Ambon Languages using Decision Tree and Gradient Boost methods by Bileam Mangalla, Suharyadi Suharyadi

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Enhancing heart disease prediction accuracy by comparing classification models employing varied feature selection techniques by Balliu Lorena, Zanaj Blerina, Basha Gledis, Zanaj Elma, Meçe Elinda Kajo

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Fault Classification of 3D-Printing Operations Using Different Types of Machine and Deep Learning Techniques by Satish Kumar, Sameer Sayyad, Arunkumar Bongale

“…Fused deposition modeling (FDM), a method of additive manufacturing (AM), comprises the extrusion of materials via a nozzle and the subsequent combining of the layers to create 3D-printed objects. …”
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LDoS attack detection method based on traffic classification prediction by Liang Liu, Yue Yin, Zhijun Wu, Qingbo Pan, Meng Yue

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PRCFX-DT: a new graph-based approach for feature selection and classification of genomic sequences by Amin Khodaei, Sania Eskandari, Hadi Sharifi, Behzad Mozaffari-Tazehkand

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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

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CLASSIFICATION OF THE RUSSIAN FEDERATION GOVERNMENT DECISIONS AND THE STANDARDS CONTAINED THEREIN, APPLIED IN CRIMINAL PROCEDURAL ACTIVITIES by VALYULIN RUSLAN

“…A five-criterion typology is substantiated: (1) mode of integration into the Code; (2) procedural stage of operation; (3) regulatory method (restrictions versus guarantees); (4) degree of behavioural regulation (autonomous versus specifying norms); (5) degree of certainty and influence on decision-making. …”
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Sparse transformer and multipath decision tree: a novel approach for efficient brain tumor classification by Pengcheng Li, Yuqi Jin, Monan Wang, Fengjie Liu

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A Deep Learning Framework for Chronic Kidney Disease stage classification by Gayathri Hegde M, P Deepa Shenoy, Venugopal KR, Arvind Canchi

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