Novel Class Detection and Feature via a Tiered Ensemble Approach for Stream Mining. - Brandon Parker; Ahmad M. Mustafa 001; Latifur Khan (ICTAI, 2012)

Host-Based Anomaly Detection Using Learning Techniques. - Ahmad Mustafa 001; Mohiuddin Solaimani; Latifur Khan; Ken Chiang; Joey Burton Ingram (ICDM Workshops, 2013)

Evolving stream classification using change detection. - Ahmad Mustafa 001; Ahsanul Haque; Latifur Khan; Michael Baron; Bhavani Thuraisingham (CollaborateCom, 2014)

Adaptive encrypted traffic fingerprinting with bi-directional dependence. - Khaled Al-Naami; Swarup Chandra; Ahmad Mustafa 001; Latifur Khan; Zhiqiang Lin 001; Kevin W. Hamlen; Bhavani Thuraisingham (ACSAC, 2016)

Near real-time atrocity event coding. - Mohiuddin Solaimani; Sayeed Salam; Ahmad M. Mustafa 001; Latifur Khan; Patrick T. Brandt; Bhavani Thuraisingham (ISI, 2016)

Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream. - Tahseen Al-Khateeb; Mohammad M. Masud 001; Khaled Al-Naami; Sadi Evren Seker; Ahmad M. Mustafa 001; Latifur Khan; Zouheir Trabelsi; Charu C. Aggarwal; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2016)

Unsupervised deep embedding for novel class detection over data stream. - Ahmad M. Mustafa 001; Gbadebo Ayoade; Khaled Al-Naami; Latifur Khan; Kevin W. Hamlen; Bhavani Thuraisingham; Frederico Araujo (IEEE BigData, 2017)

Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions. - Hesham Al-Bataineh; Wael Farhan; Ahmad Mustafa 001; Haitham Seelawi; Hussein T. Al-Natsheh (ICTAI, 2019)

Mawdoo3 AI at MADAR Shared Task: Arabic Fine-Grained Dialect Identification with Ensemble Learning. - Ahmad Ragab; Haitham Seelawi; Mostafa Samir; Abdelrahman Mattar; Hesham Al-Bataineh; Mohammad Zaghloul; Ahmad Mustafa 001; Bashar Talafha; Abed Alhakim Freihat; Hussein T. Al-Natsheh (WANLP@ACL 2019, 2019)

NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic. - Haitham Seelawi; Ahmad Mustafa 001; Hesham Al-Bataineh; Wael Farhan; Hussein T. Al-Natsheh (CoRR, 2019)

Automating Cyberdeception Evaluation with Deep Learning. - Gbadebo Ayoade; Frederico Araujo; Khaled Al-Naami; Ahmad M. Mustafa 001; Yang Gao 027; Kevin W. Hamlen; Latifur Khan (HICSS, 2020)

Android Malware Detection Using Deep Learning. - Omar N. Elayan; Ahmad M. Mustafa 001 (ANT/EDI40, 2021)

Analyzing the Most Influencing Factors in Limiting the Spread of COVID-19 Disease. - Rasha Awawdeh; Shatha Melhem; Nour Alqudah; Tibra Alsmadi; Ahmad Mustafa 001 (ICICT (3), 2021)

A Context-Aware Android Malware Detection Approach Using Machine Learning. - Mohammed N. AlJarrah; Qussai M. Yaseen; Ahmad M. Mustafa 001 (Inf., 2022)

Aspect-Based Sentiment Analysis for Arabic Food Delivery Reviews. - Ibrahim Al-Jarrah; Ahmad M. Mustafa 001; Hassan Najadat (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Natural disasters detection using explainable deep learning. - Ahmad M. Mustafa 001; Rand Agha; Lujain Ghazalat; Tariq Sha'ban (Intell. Syst. Appl., 2024)

Correction: AlJarrah et al. A Context-Aware Android Malware Detection Approach Using Machine Learning. Information 2022, 13, 563. - Mohammed N. AlJarrah; Qussai M. Yaseen; Ahmad M. Mustafa 001 (Inf., 2024)

iSSL-AL: a deep active learning framework based on self-supervised learning for image classification. - Rand Agha; Ahmad Mustafa 001; Qusai Abuein (Neural Comput. Appl., 2024)