Adaptive Information Filtering Based on PTM Model (APTM). - Abdulmohsen Algarni; Yuefeng Li; Yue Xu 001 (Web Intelligence/IAT Workshops, 2008)

An effective model of using negative relevance feedback for information filtering. - Abdulmohsen Algarni; Yuefeng Li; Yue Xu 001; Raymond Y. K. Lau (CIKM, 2009)

Mining Specific and General Features in Both Positive and Negative Relevance Feedback. - Yuefeng Li; Xiaohui Tao 001; Abdulmohsen Algarni; Sheng-Tang Wu (TREC, 2009)

Mining Negative Relevance Feedback for Information Filtering. - Yuefeng Li; Abdulmohsen Algarni; Sheng-Tang Wu; Yue Xue (Web Intelligence, 2009)

Selected new training documents to update user profile. - Abdulmohsen Algarni; Yuefeng Li; Yue Xu 001 (CIKM, 2010)

Mining positive and negative patterns for relevance feature discovery. - Yuefeng Li; Abdulmohsen Algarni; Ning Zhong 001 (KDD, 2010)

Mining Specific and General Features in Both Positive and Negative Relevance Feedback: QUT E-Discovery Lab at the TREC 2010 Relevance Feedback Track. - Abdulmohsen Algarni; Yuefeng Li; Xiaohui Tao 001 (TREC, 2010)

A pattern mining approach for information filtering systems. - Yuefeng Li; Abdulmohsen Algarni; Yue Xu 001 (Inf. Retr., 2011)

Integration of Opinion into Customer Analysis Model. - Mohd Ridzwan Yaakub; Yuefeng Li; Abdulmohsen Algarni; Bo Peng (Web Intelligence/IAT Workshops, 2012)

Using Patterns Co-occurrence Matrix for Cleaning Closed Sequential Patterns for Text Mining. - Mubarak Albathan; Yuefeng Li; Abdulmohsen Algarni (Web Intelligence, 2012)

Text mining in negative relevance feedback. - Abdulmohsen Algarni; Yuefeng Li; Sheng-Tang Wu; Yue Xu 001 (Web Intell. Agent Syst., 2012)

Scoring-Thresholding Pattern Based Text Classifier. - Moch Arif Bijaksana; Yuefeng Li; Abdulmohsen Algarni (ACIIDS (1), 2013)

Enhanced N-Gram Extraction Using Relevance Feature Discovery. - Mubarak Albathan; Yuefeng Li; Abdulmohsen Algarni (Australasian Conference on Artificial Intelligence, 2013)

A Pattern Based Two-Stage Text Classifier. - Moch Arif Bijaksana; Yuefeng Li; Abdulmohsen Algarni (MLDM, 2013)

Mining Specific Features for Acquiring User Information Needs. - Abdulmohsen Algarni; Yuefeng Li (PAKDD (1), 2013)

Feature Selection and Term Weighting. - Abdulmohsen Algarni; Nasser Tairan (WI-IAT (2), 2014)

Population-based guided local search for multidimensional Knapsack problem. - Nasser Tairan; Abdulmohsen Algarni; Justin Varghese; Muhammad Asif Jan (FGCT, 2015)

Relevance Feature Discovery for Text Mining. - Yuefeng Li; Abdulmohsen Algarni; Mubarak Albathan; Yan Shen; Moch Arif Bijaksana (IEEE Trans. Knowl. Data Eng., 2015)

A Robust Watermarking Scheme for Online Multimedia Copyright Protection Using New Chaotic Map. - Amir Anees; Iqtadar Hussain; Abdulmohsen Algarni; Muhammad Aslam 003 (Secur. Commun. Networks, 2018)

Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms. - Lal Hussain; Shahzad Ahmad Qureshi; Amjad Aldweesh; Jawad ur Rehman Pirzada; Faisal Mehmood Butt; Elsayed Tag-Eldin; Mushtaq Ali; Abdulmohsen Algarni; Muhammad Amin Nadim (Connect. Sci., 2022)

Unveiling the Future of Oral Squamous Cell Carcinoma Diagnosis: An Innovative Hybrid AI Approach for Accurate Histopathological Image Analysis. - Ihtisham Ul Haq; Mehran Ahmed; Muhammad Assam; Yazeed Yasin Ghadi; Abdulmohsen Algarni (IEEE Access, 2023)

Ransomware Detection Using Machine Learning: A Survey. - Amjad Alraizza; Abdulmohsen Algarni (Big Data Cogn. Comput., 2023)

Empowering Short Answer Grading: Integrating Transformer-Based Embeddings and BI-LSTM Network. - Wael Hassan Gomaa; Abdelrahman Ezzeldin Nagib; Mostafa Mohamed Saeed; Abdulmohsen Algarni; Emad Nabil (Big Data Cogn. Comput., 2023)

Intrusion detection in cloud computing based on time series anomalies utilizing machine learning. - Abdel-Rahman Al-Ghuwairi; Yousef O. Sharrab; Dimah Al-Fraihat; Ahmad Al-Elaimat; Ayoub Alsarhan; Abdulmohsen Algarni (J. Cloud Comput., 2023)

Comparative Analysis of Sorting Algorithms: A Review. - Mohammed Alaa Ala'anzy; Zhanar Mazhit; Alaa Fadhil Ala'anzy; Abdulmohsen Algarni; Ramis Akhmedov; Abdiyev Bauyrzhan (ISCMI, 2024)

Hyperparameter Optimization for Software Bug Prediction Using Ensemble Learning. - Dimah Al-Fraihat; Yousef O. Sharrab; Abdel-Rahman Al-Ghuwairi; Hamzeh Alshishani; Abdulmohsen Algarni (IEEE Access, 2024)

An Edge Computing-Based Preventive Framework With Machine Learning- Integration for Anomaly Detection and Risk Management in Maritime Wireless Communications. - Abdulmohsen Algarni; Tayfun Acarer; Zulfiqar Ahmad (IEEE Access, 2024)

An Edge Computing-Based and Threat Behavior-Aware Smart Prioritization Framework for Cybersecurity Intrusion Detection and Prevention of IEDs in Smart Grids With Integration of Modified LGBM and One Class-SVM Models. - Abdulmohsen Algarni; Zulfiqar Ahmad; Mohammed Ala'Anzy (IEEE Access, 2024)

Predictive Energy Management for Docker Containers in Cloud Computing: A Time Series Analysis Approach. - Abdulmohsen Algarni; Iqrar Shah; Ali Imran Jehangiri; Mohammed Ala'Anzy; Zulfiqar Ahmad (IEEE Access, 2024)

Enhancing UAV Aerial Image Analysis: Integrating Advanced SAHI Techniques With Real-Time Detection Models on the VisDrone Dataset. - Muhammad Muzammul; Abdulmohsen Algarni; Yazeed Yasin Ghadi; Muhammad Assam (IEEE Access, 2024)

Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection. - Tahseen Ullah; Syed Irfan Ullah; Khalil Ullah; Muhammad Ishaq; Ahmad Khan; Yazeed Yasin Ghadi; Abdulmohsen Algarni (IEEE Access, 2024)

Corrections to "Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection". - Tahseen Ullah; Syed Irfan Ullah; Khalil Ullah; Muhammad Ishaq; Ahmad Khan; Yazeed Yasin Ghadi; Abdulmohsen Algarni (IEEE Access, 2024)

Optimizing Cloud Computing Performance With an Enhanced Dynamic Load Balancing Algorithm for Superior Task Allocation. - Raiymbek Zhanuzak; Mohammed Ala'Anzy; Mohamed Othman; Abdulmohsen Algarni (IEEE Access, 2024)

Edge of discovery: Enhancing breast tumor MRI analysis with boundary-driven deep learning. - Naveed Urr Rehman; Junfeng Wang; Hou Weiyan; Ijaz Ali; Arslan Akbar; Muhammad Assam; Yazeed Yasin Ghadi; Abdulmohsen Algarni (Biomed. Signal Process. Control., 2024)

Securing synthetic faces: A GAN-blockchain approach to privacy-enhanced facial recognition. - Muhammad Ahmad Nawaz Ul Ghani; Kun She; Muhammad Arslan Rauf; Masoud Alajmi; Yazeed Yasin Ghadi; Abdulmohsen Algarni (J. King Saud Univ. Comput. Inf. Sci., 2024)

Design and Evaluation of a Low-Power Wide-Area Network (LPWAN)-Based Emergency Response System for Individuals with Special Needs in Smart Buildings. - Habibullah Safi; Ali Imran Jehangiri; Zulfiqar Ahmad; Mohammed Ala'Anzy; Omar Imhemed Alramli; Abdulmohsen Algarni (Sensors, 2024)

Early prediction of Student academic performance based on Machine Learning algorithms: A case study of bachelor's degree students in KSA. - Mouna Ben Said; Yessine Hadj Kacem; Abdulmohsen Algarni; Atef Masmoudi (Educ. Inf. Technol., 2024)

CP_DeepNet: a novel automated system for COVID-19 and pneumonia detection through lung X-rays. - Muhammad Hamza Mehmood; Farman Hassan; Auliya Ur Rahman; Wasiat Khan; Samih Mohemmed Mostafa; Yazeed Yasin Ghadi; Abdulmohsen Algarni; Mudasser Ali (Multim. Tools Appl., 2024)

Enhancing Ransomware Detection Using Storage Access Pattern. - Amjad Alraizza; Abdulmohsen Algarni; Asmaa Alrayzah (AIAI (3), 2025)

Corrections to "Predictive Energy Management for Docker Containers in Cloud Computing: A Time Series Analysis Approach". - Abdulmohsen Algarni; Iqrar Shah; Ali Imran Jehangiri; Mohammed Ala'Anzy; Zulfiqar Ahmad (IEEE Access, 2025)

Imbalanced Data Problem in Machine Learning: A Review. - Manahel Altalhan; Abdulmohsen Algarni; Monia Turki-Hadj Alouane (IEEE Access, 2025)

PoolRunner: An Extensible Performance Testing Simulation Tool for Thread-Pool Middleware. - Faisal Bahadur; Zulfiqar Ahmad; Abdulmohsen Algarni (IEEE Access, 2025)