MERGING CLASSIFIER DECISIONS FOR SPEAKER RECOGNITION by Y. N. Imamverdiyev, L. V. Sukhostat

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Improving classifier decision boundaries and interpretability using nearest neighbors by Johannes Schneider, Arianna Casanova

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Event Time Extraction with a Decision Tree of Neural Classifiers by Nils Reimers, Nazanin Dehghani, Iryna Gurevych

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Multicriteria decision making-based approach to classify loose-leaf teas by Eszter Benes, Attila Gere

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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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Empirical Analysis of Data Sampling-Based Decision Forest Classifiers for Software Defect Prediction by Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Hussaini Mamman, Luiz Fernando Capretz, Shuib Basri, Rafiat Ajibade Oyekunle, Hammed Adeleye Mojeed, Abimbola Ganiyat Akintola

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CLASSIFICATION OF AUDIO SOURCE CHANNELS USING TIME-FREQUENCY ANALYSIS AND DECISION TREE CLASSIFIER by Sagir Lawan, Ashraf A. Ahmad, Amina Jibril, Idrisu Mohammed, Kulu Ahmad Amalo

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Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

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Advancing ECG Signal Classification With a Fuzzy Classifier Approach by Jan Rabcan, Vitaly Levashenko, Elena Zaitseva, Miroslav Kvassay

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Prediction of induction motor faults using machine learning by Ademola Abdulkareem, Tochukwu Anyim, Olawale Popoola, John Abubakar, Agbetuyi Ayoade

“…The study involved the acquisition of a dataset comprising healthy and faulty conditions of four 3-phase induction motors, along with relevant features for fault prediction. …”
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Lung cancer detection with machine learning classifiers with multi-attribute decision-making system and deep learning model by T. Meeradevi, S. Sasikala, L. Murali, N. Manikandan, Krishnaraj Ramaswamy

“…Additionally, the deep learning (DL) model Inception v3 is proposed. This method ranks the SVM with RBF as the best classifier among the others used in this approach. …”
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Immune mediators as plasma biomarkers for identifying household contacts and classifying clinical forms and leprosy reactions by Jairo Campos Carvalho, Jairo Campos Carvalho, Marcelo Antônio Pascoal-Xavier, Marcelo Antônio Pascoal-Xavier, Marcelo Grossi Araújo, Júlia Pereira Martins, Andrea Teixeira-Carvalho, Matheus de Souza Gomes, Laurence Rodrigues Amaral, Vanessa Peruhype-Magalhães, Jordana Grazziela Alves Coelho-dos-Reis, Olindo Assis Martins-Filho, Márcio Sobreira Silva Araújo

“…HHC. The use of CCL3 followed by IFN-γ classified L(MB) vs. L(PB) with high accuracy (93%). …”
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Enhancing stock market predictions for classifying unlabelled celebrities' twitter data by Baljinder Singh, Mandeep Kaur, Gurbinder Singh Brar, NZ Jhanjhi

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A Decision Support System for Classifying Suppliers Based on Machine Learning Techniques: A Case Study in the Aeronautics Industry by Ana Claudia Andrade Ferreira, Alexandre Ferreira de Pinho, Matheus Brendon Francisco, Laercio Almeida de Siqueira, Guilherme Augusto Vilas Boas Vasconcelos

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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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Towards decision-making using individualized risk estimates for personalized medicine: A systematic review of genomic classifiers of solid tumors. by Daniel M Trifiletti, Vanessa N Sturz, Timothy N Showalter, Jennifer M Lobo

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Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis by Mostafa Alizade-Harakiyan, Amin Khodaei, Ali Yousefi, Hamed Zamani, Asghar Mesbahi

“…The dataset comprised 33 features, including demographic, clinical, and dosimetric parameters. A decision tree classifier was implemented for both binary (Grade ≥2 vs. <2) and multi-class (Grades 1, 2, and 3) classification. …”
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A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier by Bowen Shi, Hongjian You, Huixian Wang

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Human Pose Estimation and Event Recognition via Feature Extraction and Neuro-Fuzzy Classifier by Muhammad Hanzla, Naif S. Alshammari, Shuaa S. Alharbi, Wasim Wahid, Nouf Abdullah Almujally, Ahmad Jalal, Hui Liu

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A decision rule for identifying patients at high risk for impaired lung diffusion capacity after COVID-19 by O. I. Savushkina, E. S. Muraveva, I. V. Zhitareva, D. V. Davydov, E. V. Kryukov

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