ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm. - Ali Braytee; Farookh Khadeer Hussain; Ali Anaissi; Paul J. Kennedy (ICMLA, 2015)

A Review and Comparison of Service E-Contract Architecture Metamodels. - Ali Braytee; Asif Qumer Gill; Paul J. Kennedy; Farookh Khadeer Hussain (ICONIP (4), 2015)

Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients. - Ali Braytee; Daniel R. Catchpoole; Paul J. Kennedy; Wei Liu 007 (CIKM, 2016)

A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data. - Ali Braytee; Wei Liu 007; Paul J. Kennedy (ICONIP (3), 2016)

Multi-Label Feature Selection using Correlation Information. - Ali Braytee; Wei Liu 007; Daniel R. Catchpoole; Paul J. Kennedy (CIKM, 2017)

Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data. - Ali Braytee; Wei Liu 007; Paul J. Kennedy (IJCNN, 2017)

Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring. - Ali Anaissi; Nguyen Lu Dang Khoa; Samir Mustapha; Mehrisadat Makki Alamdari; Ali Braytee; Yang Wang 002; Fang Chen 001 (PAKDD (1), 2017)

Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional Data. - Ali Braytee; Ali Anaissi; Paul J. Kennedy (ICONIP (3), 2018)

Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines. - Ali Anaissi; Ali Braytee; Mohamad Naji (IJCNN, 2018)

Robust classification of high dimensional unbalanced single and multi-label datasets - Ali Braytee (2018)

Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening. - Mohamad Naji; Ahmed Al-Ani; Ali Braytee; Ali Anaissi; Paul J. Kennedy (AINA Workshops, 2019)

Optimizing the Waiting Time for Airport Security Screening Using Multiple Queues and Servers. - Mohamad Naji; Ali Braytee; Ali Anaissi; Omid Ameri Sianaki; Ahmed Al-Ani (CISIS, 2019)

Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance. - Ali Braytee; Wei Liu 007; Ali Anaissi; Paul J. Kennedy (ACM Trans. Intell. Syst. Technol., 2019)

Design of airport security screening using queueing theory augmented with particle swarm optimisation. - Mohamad Naji; Ali Braytee; Ahmed Al-Ani; Ali Anaissi; Madhu Goyal; Paul J. Kennedy (Serv. Oriented Comput. Appl., 2020)

Zero-Shot Learning with Missing Attributes using Semantic Correlations. - Ali Braytee; Mohamad Naji; Ali Anaissi; Kunal Chaturvedi; Mukesh Prasad (IJCNN, 2021)

Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection. - Kunal Chaturvedi; Ali Braytee; Dinesh Kumar Vishwakarma; Muhammad Saqib; Domingo Mery; Mukesh Prasad (IJCNN, 2021)

Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning Approach. - Mohamad Naji; Ali Anaissi; Ali Braytee; Madhu Goyal (IJCNN, 2021)

Learning Discriminative Features Using Multi-label Dual Space. - Ali Braytee; Wei Liu 007 (PAKDD (3), 2021)

Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks. - Yuchong Yao; Xiaohui Wang; Yuanbang Ma; Han Fang; Jiaying Wei; Liyuan Chen; Ali Anaissi; Ali Braytee (DSAA, 2022)

VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection. - Yihan Zhou; Jiali Liu; Zekun Yang; Tianyi Liu; Xinyue Meng; Zhuocheng Zhou; Ali Anaissi; Ali Braytee (ICDM (Workshops), 2022)

A Comparative Analysis of Loss Functions for Handling Foreground-Background Imbalance in Image Segmentation. - Ali Braytee; Ali Anaissi; Mohamad Naji (ICONIP (3), 2022)

Deep Learning Algorithm Based Support Vector Machines. - Mohamad Naji; Widad Alyassine; Qurat ul Ain Nizamani; Lingrui Zhang; Xue Wei; Ziqiu Xu; Ali Braytee; Ali Anaissi (ICR, 2022)

Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation. - Ali Braytee; Mohamad Naji; Paul J. Kennedy (IEEE Trans. Artif. Intell., 2022)

Damage GAN: A Generative Model for Imbalanced Data. - Ali Anaissi; Yuanzhe Jia; Ali Braytee; Mohamad Naji; Widad Alyassine (AusDM, 2023)

Self-Supervised Object Segmentation with a Cut-and-Pasting GAN. - Kunal Chaturvedi; Ali Braytee; Jun Li 010; Mukesh Prasad (CoRR, 2023)

SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation. - Kunal Chaturvedi; Ali Braytee; Jun Li 010; Mukesh Prasad (Sensors, 2023)

Multi-objective variational autoencoder: an application for smart infrastructure maintenance. - Ali Anaissi; Seid Miad Zandavi; Basem Suleiman; Mohamad Naji; Ali Braytee (Appl. Intell., 2023)

Zero-shot Implicit Fine-grained Named Entity Categorization with LLM-based Deep Pattern Mining. - Tariq Alghamdi; Mukesh Prasad; Ali Braytee (ACIS, 2024)

Integration of Self-supervised BYOL in Semi-supervised Medical Image Recognition. - Hao Feng; Yuanzhe Jia; Ruijia Xu; Mukesh Prasad; Ali Anaissi; Ali Braytee (ICCS (4), 2024)

Fine-Tuning LLMs for Reliable Medical Question-Answering Services. - Ali Anaissi; Ali Braytee; Junaid Akram (ICDM (Workshops), 2024)

Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration. - Cheng Qian; Xianglong Shi; Shanshan Yao; Yichen Liu; Fengming Zhou; Zishu Zhang; Junaid Akram; Ali Braytee; Ali Anaissi (ICDM (Workshops), 2024)

Ensemble Pretrained Models for Multimodal Sentiment Analysis using Textual and Video Data Fusion. - Zhicheng Liu 002; Ali Braytee; Ali Anaissi; Guifu Zhang; Lingyun Qin; Junaid Akram (WWW (Companion Volume), 2024)

A Novel Dual-Pipeline based Attention Mechanism for Multimodal Social Sentiment Analysis. - Ali Braytee; Andy Shueh-Chih Yang; Ali Anaissi; Kunal Chaturvedi; Mukesh Prasad (WWW (Companion Volume), 2024)

Explainable AI Methods for Multi-Omics Analysis: A Survey. - Ahmad Hussein; Mukesh Prasad; Ali Braytee (CoRR, 2024)

Early Parkinson's Disease Diagnosis through Hand-Drawn Spiral and Wave Analysis Using Deep Learning Techniques. - Yingcong Huang; Kunal Chaturvedi; Al-Akhir Nayan; Mohammad Hesam Hesamian; Ali Braytee; Mukesh Prasad (Inf., 2024)

Robust multi-label feature learning-based dual space. - Ali Braytee; Wei Liu 007 (Int. J. Data Sci. Anal., 2024)

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering. - Ali Anaissi; Junaid Akram; Kunal Chaturvedi; Ali Braytee (ICCS (2), 2025)

Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology. - Yanjie Wu; Yuhao Ji; Saiho Lee; Juniad Akram; Ali Braytee; Ali Anaissi (ICCS (4), 2025)

Enhancing Sentiment Analysis Through Multimodal Fusion: A BERT-DINOv2 Approach. - Taoxu Zhao; Meisi Li; Kehao Chen; Liye Wang; Xucheng Zhou; Kunal Chaturvedi; Mukesh Prasad; Ali Anaissi; Ali Braytee (ICCS (4), 2025)

UTSolve at the NTCIR-18 MedNLP-CHAT: Leveraging BioBERT forMedical Text Classification. - Guanqi Cheng; Chang Qu; Ali Braytee (NTCIR, 2025)

IP-VQA Dataset: Empowering Precision Agriculture with Autonomous Insect Pest Management through Visual Question Answering. - Kairui Jin; Xing Zi; Karthick Thiyagarajan; Ali Braytee; Mukesh Prasad (WWW (Companion Volume), 2025)

MemHateCaptioning: Enhancing Hate Speech Detection in Memes with Context-Aware Captioning and Chain-of-Thought. - Rishik Sood; Ali Anaissi; Weidong Huang 001; Ali Braytee (WWW (Companion Volume), 2025)

Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing. - Xing Zi; Kairui Jin; Xian Tao; Jun Li 010; Ali Braytee; Rajiv Ratn Shah; Mukesh Prasad (CoRR, 2025)

FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation. - Yuxin Miao; Xinyuan Yang; Hongda Fan; Yichun Li; Yishu Hong; Xiechen Guo; Ali Braytee; Weidong Huang 001; Ali Anaissi (CoRR, 2025)

Vision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging. - Ahmad Hussein; Mukesh Prasad; Ali Anaissi; Ali Braytee (CoRR, 2025)

AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions. - Xing Zi; Tengjun Ni; Xianjing Fan; Xian Tao; Jun Li 010; Ali Braytee; Mukesh Prasad (CoRR, 2025)

DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning. - Yining Zhao; Ali Braytee; Mukesh Prasad (CoRR, 2025)

RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering. - Xing Zi; Jinghao Xiao; Yunxiao Shi; Xian Tao; Jun Li 010; Ali Braytee; Mukesh Prasad (CoRR, 2025)