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2026	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Yiwen Fan, Xuan Liu, Rong Yan, Haoran Yin, Yaxin Zhang
2025	A DTW-based feature extraction method for frequency-hopping signal classification with data-optimized CNN Engineering Research Express Yonghong Chen, Aigen Fan, Yuanjin Zhang, Kuangang Fan
2025	Automated machine learning model for predicting anastomotic strictures after esophageal cancer surgery: a retrospective cohort study Surgical Endoscopy Junxi Hu, Qingwen Liu, Wenbo He, Jun Wu, Dong Zhang, Chao Sun, Shichun Lu, Xiaolin Wang, Yusheng Shu
2025	3RD INTERNATIONAL CONFERENCE ON ENGINEERING AND SCIENCE TO ACHIEVE THE SUSTAINABLE DEVELOPMENT GOALS N. Jahnavi, Radhika Baskar
2025	A multi-level intrusion detection system for industrial IoT using bowerbird courtship-inspired feature selection and hybrid data balancing Discover Computing S Kumar Reddy Mallidi, Rajeswara Rao Ramisetty
2025	Predicting non-shows at outpatient appointments in internal medicine using machine learning models PeerJ Computer Science Felipe Ocampo Osorio, Santiago Pedroza Gomez, David Esteban Rebellón Sanchez, Richard Ramirez Fernandez, Reinel Tabares-Soto, Mario Alejandro Bravo-Ortíz, Gustavo Adolfo Cruz Suarez
2025	Nondestructive internal quality detection method for yellow pitaya based on EIS and tactile multimodal perception data-driven approach Journal of Food Composition and Analysis Jiahao Yu, Yun Sun, Nedeljko Latinovic, Chuiyu Kong, Bin Han, Xiaoshuan Zhang
2025	Explaining electroencephalogram channel and subband sensitivity for alcoholism detection Computers in Biology and Medicine Sandeep B. Sangle, Pramod H. Kachare, Digambar V. Puri, Ibrahim Al-Shoubarji, Abdoh Jabbari, Raimund Kirner
2025	Unlocking the power of optimized data balancing ratios: a new frontier in tackling imbalanced datasets The Journal of Supercomputing Samet Aymaz
2025	Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets Frontiers in Artificial Intelligence Inam Abousaber, Haitham F. Abdallah, Hany El-Ghaish
2024	A Machine Learning Model for the Prediction of COVID-19 Severity Using RNA-Seq, Clinical, and Co-Morbidity Data Diagnostics Sahil Sethi, Sushil Shakyawar, Athreya S. Reddy, Jai Chand Patel, Chittibabu Guda
2024	CHART: Intelligent Crime Hotspot Detection and Real-Time Tracking Using Machine Learning Computers, Materials & Continua Rashid Ahmad, Asif Nawaz, Ghulam Mustafa, Tariq Ali, Mehdi Tlija, Mohammed A. El-Meligy, Zohair Ahmed
2024	MicroTrust: Empowering Microgrids With Smart Peer-to-Peer Energy Sharing Through Trust Management in IoT IEEE Access Wajahat Ali, Ikram Ud Din, Ahmad Almogren, Mahdi Zareei, R. R. Biswal
2024	Exploring the Non-Invasive Methods of Brain- Computer Interface: A Comprehensive Review of their Advances and Applications International Journal of Innovative Science and Research Technology (IJISRT) Harsha S. Krishna, Salama Pulikkal
2024	Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering Journal of Big Data Muhammad Mujahid, EROL Kına, Furqan Rustam, Monica Gracia Villar, Eduardo Silva Alvarado, Isabel De La Torre Diez, Imran Ashraf
2024	Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling Reliability Engineering & System Safety Sai Li, Yanfeng Peng, Yiping Shen, Sibo Zhao, Haidong Shao, Guangfu Bin, Yong Guo, Xingkai Yang, Chao Fan
2024	Hybrid resampling and weighted majority voting for multi-class anomaly detection on imbalanced malware and network traffic data Engineering Applications of Artificial Intelligence Liang Xue, Tianqing Zhu
2024	2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Richa Singh, Nidhi Srivastava, Ashwani Kumar
2024	Radiomics-based prediction of recurrence for head and neck cancer patients using data imbalanced correction Computers in Biology and Medicine Hiroki Oka, Daisuke Kawahara, Yuji Murakami
2024	Improving mental dysfunction detection from EEG signals: Self-contrastive learning and multitask learning with transformers Alexandria Engineering Journal Shakila Basheer, Ghadah Aldehim, Ala Saleh Alluhaidan, Sapiah Sakri
2024	2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Weiyuan Sun, Guangyuan Xu, Shilei Li, Xianzhou Feng
2024	Interpretable SHAP Model Combining Meta-learning and Vision Transformer for Lithology Classification Using Limited and Unbalanced Drilling Data in Well Logging Natural Resources Research Youzhuang Sun, Shanchen Pang, Zhiyuan Zhao, Yongan Zhang
2024	Boosting medical diagnostics with a novel gradient-based sample selection method Computers in Biology and Medicine Samet Aymaz
2024	Enhancing analysis of EEG image data sets using machine learning techniques: Dealing with class imbalances and data uncertainty E-Learning and Digital Media Sneha Mishra, Umesh Chandra Jaiswal
2024	Sustained attention detection in humans using a prefrontal theta-EEG rhythm Cognitive Neurodynamics Pankaj Kumar Sahu, Karan Jain
2024	Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance Renewable and Sustainable Energy Reviews Yang Li, Jiting Cao, Yan Xu, Lipeng Zhu, Zhao Yang Dong
2023	Automated machine learning-based model for predicting benign anastomotic strictures in patients with rectal cancer who have received anterior resection European Journal of Surgical Oncology Yang Su, Yanqi Li, Wenshu Chen, Wangshuo Yang, Jichao Qin, Lu Liu
2023	A Long Short-Term Memory Network Using Resting-State Electroencephalogram to Predict Outcomes Following Moderate Traumatic Brain Injury Computers Nor Safira Elaina Mohd Noor, Haidi Ibrahim, Chi Qin Lai, Jafri Malin Abdullah
2023	International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022) Debin Zhao, Zhengyuan Hu, Yinjian Yang
2023	A novel prediction model of the risk of pancreatic cancer among diabetes patients using multiple clinical data and machine learning Cancer Medicine Shih‐Min Chen, Phan Thanh Phuc, Phung‐Anh Nguyen, Whitney Burton, Shwu‐Jiuan Lin, Weei‐Chin Lin, Christine Y. Lu, Min‐Huei Hsu, Chi‐Tsun Cheng, Jason C. Hsu
2023	A novel imbalanced fault diagnosis method based on area identification conditional generative adversarial networks The Canadian Journal of Chemical Engineering Yuan Xu, Xun Zou, Wei Ke, Qun‐Xiong Zhu, Yan‐Lin He, Ming‐Qing Zhang, Yang Zhang
2023	Artificial intelligence system for verification of schizophrenia via theta-EEG rhythm Biomedical Signal Processing and Control Pankaj Kumar Sahu
2023	Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals Brain Informatics Neha Gour, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Pritee Khanna, Mohamed L. Seghier, Naoufel Werghi
2023	The use of class imbalanced learning methods on ULSAM data to predict the case–control status in genome-wide association studies Journal of Big Data R. Onur Öztornaci, Hamzah Syed, Andrew P. Morris, Bahar Taşdelen
2022	Sentiment Analysis of Customers’ Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution IEEE Access Ruba Obiedat, Raneem Qaddoura, Ala' M. Al-Zoubi, Laila Al-Qaisi, Osama Harfoushi, Mo'ath Alrefai, Hossam Faris
2022	Classification of High Frequency Oscillations in intracranial EEG signals based on coupled time-frequency and image-related features Biomedical Signal Processing and Control Fatma Krikid, Ahmad Karfoul, Sahbi Chaibi, Amar Kachenoura, Anca Nica, Abdennaceur Kachouri, Régine Le Bouquin Jeannès
2022	NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death Computers in Biology and Medicine Jagjit S. Teji, Suneet Jain, Suneet K. Gupta, Jasjit S. Suri
2022	SASDL and RBATQ: Sparse Autoencoder With Swarm Based Deep Learning and Reinforcement Based Q-Learning for EEG Classification IEEE Open Journal of Engineering in Medicine and Biology Sunil Kumar Prabhakar, Seong-Whan Lee
2022	A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest Remote Sensing Debaleena Datta, Pradeep Kumar Mallick, Annapareddy V. N. Reddy, Mazin Abed Mohammed, Mustafa Musa Jaber, Abed Saif Alghawli, Mohammed A. A. Al-qaness
2022	2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST) Rushikesh Bodhe, Saaveethya Sivakumar, Ayush Raghuwanshi
2022	Energy Conservation for Indoor Attractions Based on NRBO-LightGBM Sustainability Debin Zhao, Zhengyuan Hu, Yinjian Yang, Qian Chen
2022	Optimized Artificial Neural Network Techniques to Improve Cybersecurity of Higher Education Institution Computers, Materials & Continua Abdullah Saad AL-Malaise AL-Ghamdi, Mahmoud Ragab, Maha Farouk S. Sabir, Ahmed Elhassanein, Ashraf A. Gouda
2022	RETRACTED: EEG signal processing by feature extraction and classification based on biomedical deep learning architecture with wireless communication Optik Suhasini Sodagudi, Sridhar Manda, Bandi Smitha, N. Chaitanya, Mohammed Altaf Ahmed, Nabamita Deb
2022	2022 12th International Conference on Information Technology in Medicine and Education (ITME) Han Ye, Guodong Du, Shaozi Li
2022	Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT) Sensors Shapla Khanam, Ismail Ahmedy, Mohd Yamani Idna Idris, Mohamed Hisham Jaward
2021	Adaptive Particle Swarm Optimization Algorithm Ensemble Model Applied to Classification of Unbalanced Data Scientific Programming Dawei Zheng, Chao Qin, Peipei Liu
2021	A Survey on EEG Signal Processing Techniques and Machine Learning: Applications to the Neurofeedback of Autobiographical Memory Deficits in Schizophrenia Electronics Miguel Luján, María Jimeno, Jorge Mateo Sotos, Jorge Ricarte, Alejandro Borja
2021	Brain–Computer Interfacing Using Functional Near-Infrared Spectroscopy (fNIRS) Biosensors Kogulan Paulmurugan, Vimalan Vijayaragavan, Sayantan Ghosh, Parasuraman Padmanabhan, Balázs Gulyás
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