A framework for high dimensional data reduction in the microarray domain. - Ali Anaissi; Paul J. Kennedy; Madhu Goyal (BIC-TA, 2010)

Feature Selection of Imbalanced Gene Expression Microarray Data. - Ali Anaissi; Paul J. Kennedy; Madhu Goyal (SNPD, 2011)

A balanced iterative random forest for gene selection from microarray data. - Ali Anaissi; Paul J. Kennedy; Madhu Goyal; Daniel R. Catchpoole (BMC Bioinform., 2013)

Case-base retrieval of childhood leukaemia patients using gene expression data - Ali Anaissi (2013)

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

Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract. - Nguyen Lu Dang Khoa; Ali Anaissi; Yang Wang 002 (CIKM, 2017)

Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring. - Ali Anaissi; Nguyen Lu Dang Khoa; Thierry Rakotoarivelo; Mehri Makki Alamdari; Yang Wang 002 (ICONIP (1), 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)

Regularized Tensor Learning with Adaptive One-Class Support Vector Machines. - Ali Anaissi; Young Lee; Mohamad Naji (ICONIP (3), 2018)

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)

Automated parameter tuning in one-class support vector machine: an application for damage detection. - Ali Anaissi; Nguyen Lu Dang Khoa; Yang Wang 002 (Int. J. Data Sci. Anal., 2018)

A Tensor-Based Structural Damage Identification and Severity Assessment. - Ali Anaissi; Mehrisadat Makki Alamdari; Thierry Rakotoarivelo; Nguyen Lu Dang Khoa (Sensors, 2018)

Adaptive Online One-Class Support Vector Machines with Applications in Structural Health Monitoring. - Ali Anaissi; Nguyen Lu Dang Khoa; Thierry Rakotoarivelo; Mehrisadat Makki Alamdari; Yang Wang 002 (ACM Trans. Intell. Syst. Technol., 2018)

Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features. - Nguyen Lu Dang Khoa; Mehrisadat Makki Alamdari; Thierry Rakotoarivelo; Ali Anaissi; Yang Wang 002 (Human and Machine Learning, 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)

Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring. - Hongda Tian; Nguyen Lu Dang Khoa; Ali Anaissi; Yang Wang 002; Fang Chen 001 (CIKM, 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)

Multi-Objective Autoencoder for Fault Detection and Diagnosis in Higher-Order Data. - Ali Anaissi; Seid Miad Zandavi (IJCNN, 2019)

Augmented Reality Vision Improving Educational Learning. - Seid Miad Zandavi; Zexi Hu; Yuk Ying Chung; Ali Anaissi (Aust. J. Intell. Inf. Process. Syst., 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)

Online Tensor Decomposition with optimized Stochastic Gradient Descent: an Application in Structural Damage Identification. - Ali Anaissi; Basem Suleiman; Seid Miad Zandavi (SSCI, 2020)

Online Tensor-Based Learning for Multi-Way Data. - Ali Anaissi; Basem Suleiman; Seid Miad Zandavi (CoRR, 2020)

Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance. - Ali Anaissi; Seid Miad Zandavi (CoRR, 2020)

NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent. - Ali Anaissi; Basem Suleiman; Seid Miad Zandavi (CoRR, 2020)

Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques. - Seid Miad Zandavi; Vera Yuk Ying Chung; Ali Anaissi (CoRR, 2020)

PIDA: Smooth and Stable Flight Using Stochastic Dual Simplex Algorithm and Genetic Filter. - Seid Miad Zandavi; Vera Yuk Ying Chung; Ali Anaissi (CoRR, 2020)

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)

Intelligent Structural Damage Detection: A Federated Learning Approach. - Ali Anaissi; Basem Suleiman; Mohamad Naji (IDA, 2021)

Zero-Shot Learning with Missing Attributes using Semantic Correlations. - Ali Braytee; Mohamad Naji; Ali Anaissi; Kunal Chaturvedi; 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)

Intelligent Failure Prediction in Industrial Vehicles. - Basem Suleiman; Ali Anaissi; Bochao Zhan; Muhammad Johan Alibasa (IJCNN, 2021)

A Personalized Federated Learning Algorithm: an Application in Anomaly Detection. - Ali Anaissi; Basem Suleiman (CoRR, 2021)

A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification. - Ali Anaissi; Basem Suleiman; Seid Miad Zandavi (CoRR, 2021)

Stochastic Dual Simplex Algorithm: A Novel Heuristic Optimization Algorithm. - Seid Miad Zandavi; Vera Yuk Ying Chung; Ali Anaissi (IEEE Trans. Cybern., 2021)

Multi-user Remote Lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm. - Seid Miad Zandavi; Vera Yuk Ying Chung; Ali Anaissi (Trans. Data Sci., 2021)

Online Tensor-Based Learning Model for Structural Damage Detection. - Ali Anaissi; Basem Suleiman; Seid Miad Zandavi (ACM Trans. Knowl. Discov. Data, 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)

A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly Detection. - Ali Anaissi; Basem Suleiman; Widad Alyassine (ICCS (4), 2022)

Multi-contextual Recommender Using 3D Latent Factor Models and Online Tensor Decomposition. - Basem Suleiman; Ali Anaissi; Muhammad Johan Alibasa; Harrison Truong (ICCS (1), 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)

Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach. - Xiao Liu; Bonan Gao; Basem Suleiman; Han You; Zisu Ma; Yu Liu; Ali Anaissi (CoRR, 2022)

Accelerated Control Using Stochastic Dual Simplex Algorithm and Genetic Filter for Drone Application. - Seid Miad Zandavi; Yuk Ying Chung; Ali Anaissi (IEEE Trans. Aerosp. Electron. Syst., 2022)

Cloud Resources Usage Prediction Using Deep Learning Models. - Muhammad Johan Alibasa; Basem Suleiman; Abubakar Bello; Ali Anaissi; Qijing Yan; Shulei Chen (ACR, 2023)

Supervised Learning-Based Indoor Positioning System Using WiFi Fingerprints. - Basem Suleiman; Ali Anaissi; Yuhuan Xiao; Waheeb Yaqub; Anuradha Samkham Raju; Widad Alyassine (ACR, 2023)

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

B2-FedGAN: Balanced Bi-directional Federated GAN. - Ali Anaissi; Basem Suleiman (ICCS (1), 2023)

Heterogeneous Transfer Learning in Structural Health Monitoring for High Rise Structures. - Ali Anaissi; Kenneth D'souza; Basem Suleiman; Mahmoud Bekhit; Widad Alyassine (ICR, 2023)

Predictive Auto-scaling: LSTM-Based Multi-step Cloud Workload Prediction. - Basem Suleiman; Muhammad Johan Alibasa; Ya-Yuan Chang; Ali Anaissi (ICSOC Workshops, 2023)

Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles. - Seid Miad Zandavi; Derong Liu; Vera Yuk Ying Chung; Ali Anaissi; Fatemeh Vafaee (Artif. Intell. Rev., 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)

Privacy-Preserving Personalized Fitness Recommender System P3FitRec: A Multi-level Deep Learning Approach. - Xiao Liu; Bonan Gao; Basem Suleiman; Han You; Zisu Ma; Yu Liu; Ali Anaissi (ACM Trans. Knowl. Discov. Data, 2023)

Improving Weeds Detection in Pastures Using Illumination Invariance Techniques. - Ali Hassan Alyatimi; Thair Al-Dala'in; Vera Yuk Ying Chung; Ali Anaissi; Edmund J. Sadgrove (ACR, 2024)

Understanding Consumers Attitudes Towards Sustainability. - Ali Anaissi; Maria P. Mandiola; Sabreena Zoha Amin; Widad Alyassine (ACR, 2024)

A Federated Learning Anomaly Detection Approach for IoT Environments. - Basem Suleiman; Ali Anaissi; Wenbo Yan; Abubakar Bello; Sophie Zou; Ling Nga Meric Tong (ACR, 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)

A Blockchain-Enhanced Framework for Privacy and Data Integrity in Crowdsourced Drone Services. - Junaid Akram; Ali Anaissi (ICSOC (2), 2024)

Decentralized PKI Framework for Data Integrity in Spatial Crowdsourcing Drone Services. - Junaid Akram; Ali Anaissi (ICWS, 2024)

DDRM: Distributed Drone Reputation Management for Trust and Reliability in Crowdsourced Drone Services. - Junaid Akram; Ali Anaissi (ICWS, 2024)

Leveraging Blockchain-as-a-Certificate Authority for Authentication in 6G-Enabled Spatial Crowdsourcing Drone Services. - Junaid Akram; Ali Anaissi; Sagar Sidana; Deepak Kumar; Rutvij H. Jhaveri (VTC Fall, 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)

Optimisation of federated learning settings under statistical heterogeneity variations. - Basem Suleiman; Muhammad Johan Alibasa; Rizka Widyarini Purwanto; Lewis Jeffries; Ali Anaissi; Jacky Song (CoRR, 2024)

Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services. - Junaid Akram; Ali Anaissi (CoRR, 2024)

ResNLS: An improved model for stock price forecasting. - Yuanzhe Jia; Ali Anaissi; Basem Suleiman (Comput. Intell., 2024)

DroneSSL: Self-Supervised Multimodal Anomaly Detection in Internet of Drone Things. - Junaid Akram; Ali Anaissi; Wajdy Othman; Abdulatif Alabdulatif; Awais Akram (IEEE Trans. Consumer Electron., 2024)

A fast parallel tensor decomposition with optimal stochastic gradient descent: an application in structural damage identification. - Ali Anaissi; Basem Suleiman; Widad Alyassine; Seid Miad Zandavi (Int. J. Data Sci. Anal., 2024)

GALTrust: Generative Adverserial Learning-Based Framework for Trust Management in Spatial Crowdsourcing Drone Services. - Junaid Akram; Ali Anaissi; Rajkumar Singh Rathore; Rutvij H. Jhaveri; Awais Akram (IEEE Trans. Consumer Electron., 2024)

Digital Twin-Driven Trust Management in Open RAN-Based Spatial Crowdsourcing Drone Services. - Junaid Akram; Ali Anaissi; Rajkumar Singh Rathore; Rutvij H. Jhaveri; Awais Akram (IEEE Trans. Green Commun. Netw., 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)

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)

Blockchain-Based Model for Secure and Fair Data Provision in Crowdsourced Drone Services. - Junaid Akram; Awais Akram; Vandana Sharma; Ali Anaissi; Rutvij H. Jhaveri; Priyanka Verma 001 (IEEE Open J. Commun. Soc., 2025)

Privacy-Preserving Spatial Crowdsourcing Drone Services for Postdisaster Infrastructure Monitoring: A Conditional Federated Learning Approach. - Junaid Akram; Awais Akram; Palash Yuvraj Ingle; Rutvij H. Jhaveri; Ali Anaissi; Adnan Akhunzada (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Adversarial Label-Flipping Attack and Defense for Anomaly Detection in Spatial Crowdsourcing UAV Services. - Junaid Akram; Ali Anaissi; Awais Akram; Rajkumar Singh Rathore; Rutvij H. Jhaveri (IEEE Trans. Consumer Electron., 2025)

AI-Generated Content-as-a-Service in IoMT-Based Smart Homes: Personalizing Patient Care With Human Digital Twins. - Junaid Akram; Misha Aamir; Roshani Raut; Ali Anaissi; Rutvij H. Jhaveri; Awais Akram (IEEE Trans. Consumer Electron., 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)

Capability-Based Multi-Tenant Access Management in Crowdsourced Drone Services. - Junaid Akram; Ali Anaissi; Awais Akram; Youcef Djenouri; Palash Yuvraj Ingle; Rutvij H. Jhaveri (CoRR, 2025)

Secure and Interoperable IoMT-Based Smart Homes. - Awais Akram; Junaid Akram; Abdulatif Alabdultif; Ali Anaissi; Rutvij H. Jhaveri (IEEE Consumer Electron. Mag., 2025)