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Adriano Lages dos Santos, Maria Christina L. Oliveira, Enrico A. Colosimo, Robert H. Mak, Clara C. Pinhati, Stella C. Gallante, Hercílio Martelli-Júnior, Ana Cristina Simões e Silva, Eduardo A. Oliveira

Tae Hoon Kim, Ravikumar Chinthaginjala, Asadi Srinivasulu, Sivarama Prasad Tera, Safia Obaidur Rab

Bruno Iochins Grisci, Mario Inostroza-Ponta, Márcio Dorn

L. William Mary, S. Albert Antony Raj

Areen Al-Hgaish, Rodziah Atan, Razali Yaakob, Mohd Hafeez Osman

Turker Berk Donmez, Mustafa Kutlu, Mohammed Mansour, Mustafa Zahid Yildiz

Lavlin Agrawal, Pavankumar Mulgund, Raj Sharman

Jose L. Morillo‐Salas, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos

Debashis Roy, Anandarup Roy, Utpal Roy

Meriem Triki, Maya Boudali, Mohammed Ammar

Nazanin Falconer, Ian A. Scott, Ahmad Abdel-Hafez, Neil Cottrell, Duncan Long, Christopher Morris, Centaine Snoswell, Ebtyhal Aziz, Jonathan Yong Jie Lam, Michael Barras

Matheus Cezimbra Barbieri, Bruno Iochins Grisci, Márcio Dorn

Zahra Karimi, Jaleh S. Malak, Amirhossein Aghakhani, Mohammad S. Najafi, Hamid Ariannejad, Hojjat Zeraati, Mir S. Yekaninejad

Bruno I. Grisci, Bruno César Feltes, Joice de Faria Poloni, Pedro H. Narloch, Márcio Dorn

Shaik Ahmadsaidulu, Abhishek Tiwari, Oindrila Banik, Earu Banoth

Ahmet BURSALI, Aslı SUNER

Seyed Salman Zakariaee, Negar Naderi, Mahdi Ebrahimi, Hadi Kazemi-Arpanahi

Lavanya C, Pooja S, Abhay H Kashyap, Abdur Rahaman, Swarna Niranjan, Vidya Niranjan

Mauro Iori, Carlo Di Castelnuovo, Laura Verzellesi, Greta Meglioli, Davide Giosuè Lippolis, Andrea Nitrosi, Filippo Monelli, Giulia Besutti, Valeria Trojani, Marco Bertolini, Andrea Botti, Gastone Castellani, Daniel Remondini, Roberto Sghedoni, Stefania Croci, Carlo Salvarani

2025	Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil PeerJ Computer Science Adriano Lages dos Santos, Maria Christina L. Oliveira, Enrico A. Colosimo, Robert H. Mak, Clara C. Pinhati, Stella C. Gallante, Hercílio Martelli-Júnior, Ana Cristina Simões e Silva, Eduardo A. Oliveira
2025	COVID-19 health data prediction: a critical evaluation of CNN-based approaches Scientific Reports Tae Hoon Kim, Ravikumar Chinthaginjala, Asadi Srinivasulu, Sivarama Prasad Tera, Safia Obaidur Rab
2025	Assessing feature scorer results on high-dimensional datasets with t-SNE Neurocomputing Bruno Iochins Grisci, Mario Inostroza-Ponta, Márcio Dorn
2025	2025 International Conference on Computational, Communication and Information Technology (ICCCIT) L. William Mary, S. Albert Antony Raj
2025	Lecture Notes in Networks and Systems Areen Al-Hgaish, Rodziah Atan, Razali Yaakob, Mohd Hafeez Osman
2025	Explainable AI in action: a comparative analysis of hypertension risk factors using SHAP and LIME Neural Computing and Applications Turker Berk Donmez, Mustafa Kutlu, Mohammed Mansour, Mustafa Zahid Yildiz
2024	Handling Imbalanced Data With Weighted Logistic Regression and Propensity Score Matching methods Journal of Database Management Lavlin Agrawal, Pavankumar Mulgund, Raj Sharman
2024	The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification Expert Systems Jose L. Morillo‐Salas, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos
2024	Studies in Computational Intelligence Debashis Roy, Anandarup Roy, Utpal Roy
2024	2024 International Conference of the African Federation of Operational Research Societies (AFROS) Meriem Triki, Maya Boudali, Mohammed Ammar
2024	The adverse inpatient medication event and frailty (AIME-frail) risk prediction model Research in Social and Administrative Pharmacy Nazanin Falconer, Ian A. Scott, Ahmad Abdel-Hafez, Neil Cottrell, Duncan Long, Christopher Morris, Centaine Snoswell, Ebtyhal Aziz, Jonathan Yong Jie Lam, Michael Barras
2024	Analysis and comparison of feature selection methods towards performance and stability Expert Systems with Applications Matheus Cezimbra Barbieri, Bruno Iochins Grisci, Márcio Dorn
2024	Machine learning approaches to predict the need for intensive care unit admission among Iranian COVID‐19 patients based on ICD‐10: A cross‐sectional study Health Science Reports Zahra Karimi, Jaleh S. Malak, Amirhossein Aghakhani, Mohammad S. Najafi, Hamid Ariannejad, Hojjat Zeraati, Mir S. Yekaninejad
2024	The use of gene expression datasets in feature selection research: 20 years of inherent bias? WIREs Data Mining and Knowledge Discovery Bruno I. Grisci, Bruno César Feltes, Joice de Faria Poloni, Pedro H. Narloch, Márcio Dorn
2023	Frontiers in Optics + Laser Science 2023 (FiO, LS) Shaik Ahmadsaidulu, Abhishek Tiwari, Oindrila Banik, Earu Banoth
2023	A HYBRID DECISION SUPPORT SYSTEM APPLICATION WITH THE ANALYTIC HIERARCHY PROCESS AND DATA MINING TECHNIQUES: DIAGNOSIS OF COVID19 WITH COMPLETE BLOOD COUNT VALUES Karya Journal of Health Science Ahmet BURSALI, Aslı SUNER
2023	Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data Scientific Reports Seyed Salman Zakariaee, Negar Naderi, Mahdi Ebrahimi, Hadi Kazemi-Arpanahi
2023	Novel Biomarker Prediction for Lung Cancer Using Random Forest Classifiers Cancer Informatics Lavanya C, Pooja S, Abhay H Kashyap, Abdur Rahaman, Swarna Niranjan, Vidya Niranjan
2022	Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios Applied Sciences Mauro Iori, Carlo Di Castelnuovo, Laura Verzellesi, Greta Meglioli, Davide Giosuè Lippolis, Andrea Nitrosi, Filippo Monelli, Giulia Besutti, Valeria Trojani, Marco Bertolini, Andrea Botti, Gastone Castellani, Daniel Remondini, Roberto Sghedoni, Stefania Croci, Carlo Salvarani
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