IMPLEMENTATION OF FEATURE IMPORTANCE XGBOOST ALGORITHM TO DETERMINE THE ACTIVE COMPOUNDS OF SEMBUNG LEAVES (BLUMEA BALSAMIFERA) by Kusnaeni Kusnaeni, Nurul Fuady Adhalia, Abdul Khaliq Zulfattah

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Improving the quality of payment fraud detection by using a combined approach of transaction analysis by Світлана Гавриленко, Олексій Абдуллін

Subjects: “…machine learning; fraud transactions; classification; clustering; feature importance…”
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Mortality-associated plasma proteome dynamics in a prospective multicentre sepsis cohortResearch in context by Lars Palmowski, Maike Weber, Malte Bayer, Yuxin Mi, Karin Schork, Martin Eisenacher, Hartmuth Nowak, Tim Rahmel, Lars Bergmann, Andrea Witowski, Björn Koos, Katharina Rump, Dominik Ziehe, Ulrich Limper, Dietrich Henzler, Stefan Felix Ehrentraut, Alexander Zarbock, Roman Fischer, Julian C. Knight, Michael Adamzik, Barbara Sitek, Thilo Bracht

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A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analyses by Pinyan Liu, Han Yuan, Yilin Ning, Bibhas Chakraborty, Nan Liu, Marco Aurélio Peres

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Soil liquefaction assessment using machine learning by Gamze Maden Muftuoglu, Kaveh Dehghanian

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Surface urban heat island distribution and socioeconomic inequalities in a major Latin American agglomeration by Jorge Méndez-Astudillo, Ernesto Caetano

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Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Effic... by Shadi Jacob Khoury, Yazeed Zoabi, Mickey Scheinowitz, Noam Shomron

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Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

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A Spatially‐Distributed Machine Learning Approach for Fractional Snow Covered Area Estimation by Shalini Mahanthege, William Kleiber, Karl Rittger, Balaji Rajagopalan, Mary J. Brodzik, Edward Bair

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Acoustic signatures of bulbar ALS: Predictive modeling with sustained vowels and LightGBM by Zahra Farrokhi, Seyed Amirali Zakavi, Arian Sarafraz, Maryam Valifard, Salar Yousefzadeh, Zahra Mashhadi Tafreshi, Omid Anbiyaee, Navid Rostami, Mahsa Asadi Anar, Niloofar Deravi

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Enhancing the classification of seismic events with supervised machine learning and feature importance by Eman L. Habbak, Mohamed S. Abdalzaher, Adel S. Othman, HA Mansour

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Machine-learning-driven feature importance analysis for guiding the protonic ceramic fuel cell manufacturing by Jinwoo Kim, Jaewan Baek, Mingi Choi

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Prediction of formation energy for oxides in ODS steels by machine learning by Tian-Xing Yang, Peng Dou

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Predicting customer subscription in bank telemarketing campaigns using ensemble learning models by Michael Peter, Hawa Mofi, Said Likoko, Julius Sabas, Ramadhani Mbura, Neema Mduma

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Prediction of BTEX concentrations in the air of Southern East Azerbaijan province, Iran using ensemble machine learning and feature analysis by Mansour Baziar, Negar Jafari, Ali Oghazyan, Amir Mohammadi, Ali Abdolahnejad, Ali Behnami

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Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm by Ahmed Elbeltagi, Salim Heddam, Okan Mert Katipoğlu, Abdullah A. Alsumaiei, Mustafa Al-Mukhtar

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A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space by Zheng Luo, Jiahao Mai, Caihong Feng, Deyao Kong, Jingyu Liu, Yunhong Ding, Bo Qi, Zhanbo Zhu

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Enhancing classification of active and non-active lesions in multiple sclerosis: machine learning models and feature selection techniques by Atefeh Rostami, Mostafa Robatjazi, Amir Dareyni, Ali Ramezan Ghorbani, Omid Ganji, Mahdiye Siyami, Amir Reza Raoofi

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Critical evaluation of feature importance assessment in FFNN-based models for predicting Kamlet-Taft parameters by Yoshiyasu Takefuji

Subjects: “…Feature importance…”
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Linear Model and Gradient Feature Elimination Algorithm Based on Seasonal Decomposition for Time Series Forecasting by Sheng-Tzong Cheng, Ya-Jin Lyu, Yi-Hong Lin

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