Ali Anaissi - researchr alias

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Viewing Publication 1 - 46 from 46

2024

ResNLS: An improved model for stock price forecastingYuanzhe Jia, Ali Anaissi, Basem Suleiman. ci, 40(1), February 2024. [doi]

2023

Cloud Resources Usage Prediction Using Deep Learning ModelsMuhammad Johan Alibasa, Basem Suleiman, Abubakar Bello, Ali Anaissi, Qijing Yan, Shulei Chen. acr 2023: 443-452 [doi]

Heterogeneous Transfer Learning in Structural Health Monitoring for High Rise StructuresAli Anaissi, Kenneth D'souza, Basem Suleiman, Mahmoud Bekhit, Widad Alyassine. icr2 2023: 405-417 [doi]

Damage GAN: A Generative Model for Imbalanced DataAli Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji, Widad Alyassine. ausdm 2024: 48-61 [doi]

2-FedGAN: Balanced Bi-directional Federated GANAli Anaissi, Basem Suleiman. iccs 2023: 380-392 [doi]

Multi-objective variational autoencoder: an application for smart infrastructure maintenanceAli Anaissi, Seid Miad Zandavi, Basem Suleiman, Mohamad Naji, Ali Braytee. apin, 53(10):12047-12062, May 2023. [doi]

3FitRec: A Multi-level Deep Learning ApproachXiao Liu, Bonan Gao, Basem Suleiman, Han You, Zisu Ma, Yu Liu, Ali Anaissi. tkdd, 17(6), July 2023. [doi]

Supervised Learning-Based Indoor Positioning System Using WiFi FingerprintsBasem Suleiman, Ali Anaissi, Yuhuan Xiao, Waheeb Yaqub, Anuradha Samkham Raju, Widad Alyassine. acr 2023: 56-71 [doi]

Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profilesSeid Miad Zandavi, Derong Liu, Vera Yuk Ying Chung, Ali Anaissi, Fatemeh Vafaee. air, 56(7):7263-7278, 2023. [doi]

2022

A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly DetectionAli Anaissi, Basem Suleiman, Widad Alyassine. iccs 2022: 373-379 [doi]

A Comparative Analysis of Loss Functions for Handling Foreground-Background Imbalance in Image SegmentationAli Braytee, Ali Anaissi, Mohamad Naji. iconip 2023: 3-13 [doi]

Deep Learning Algorithm Based Support Vector MachinesMohamad Naji, Widad Alyassine, Qurat ul Ain Nizamani, Lingrui Zhang, Xue Wei, Ziqiu Xu, Ali Braytee, Ali Anaissi. icr2 2022: 281-289 [doi]

Multi-contextual Recommender Using 3D Latent Factor Models and Online Tensor DecompositionBasem Suleiman, Ali Anaissi, Muhammad Johan Alibasa, Harrison Truong. iccs 2022: 276-290 [doi]

Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial NetworksYuchong Yao, Xiaohui Wang, Yuanbang Ma, Han Fang, Jiaying Wei, Liyuan Chen, Ali Anaissi, Ali Braytee. dsaa 2022: 1-10 [doi]

Accelerated Control Using Stochastic Dual Simplex Algorithm and Genetic Filter for Drone ApplicationSeid Miad Zandavi, Yuk Ying Chung, Ali Anaissi. taes, 58(3):2180-2191, 2022. [doi]

VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 DetectionYihan Zhou, Jiali Liu, Zekun Yang, Tianyi Liu, Xinyue Meng, Zhuocheng Zhou, Ali Anaissi, Ali Braytee. icdm 2022: 1-9 [doi]

2021

Intelligent Structural Damage Detection: A Federated Learning ApproachAli Anaissi, Basem Suleiman, Mohamad Naji. ida 2021: 155-170 [doi]

Online Tensor-Based Learning Model for Structural Damage DetectionAli Anaissi, Basem Suleiman, Seid Miad Zandavi. tkdd, 15(6), 2021. [doi]

Zero-Shot Learning with Missing Attributes using Semantic CorrelationsAli Braytee, Mohamad Naji, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad. ijcnn 2021: 1-7 [doi]

Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning ApproachMohamad Naji, Ali Anaissi, Ali Braytee, Madhu Goyal. ijcnn 2021: 1-8 [doi]

Intelligent Failure Prediction in Industrial VehiclesBasem Suleiman, Ali Anaissi, Bochao Zhan, Muhammad Johan Alibasa. ijcnn 2021: 1-8 [doi]

Multi-user Remote Lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic AlgorithmSeid Miad Zandavi, Vera Yuk Ying Chung, Ali Anaissi. tdasci, 2(2), 2021. [doi]

Stochastic Dual Simplex Algorithm: A Novel Heuristic Optimization AlgorithmSeid Miad Zandavi, Vera Yuk Ying Chung, Ali Anaissi. tcyb, 51(5):2725-2734, 2021. [doi]

2020

Online Tensor Decomposition with optimized Stochastic Gradient Descent: an Application in Structural Damage IdentificationAli Anaissi, Basem Suleiman, Seid Miad Zandavi. ssci 2020: 1257-1264 [doi]

Design of airport security screening using queueing theory augmented with particle swarm optimisationMohamad Naji, Ali Braytee, Ahmed Al-Ani, Ali Anaissi, Madhu Goyal, Paul J. Kennedy. soca, 14(2):119-133, 2020. [doi]

2019

Multi-Objective Autoencoder for Fault Detection and Diagnosis in Higher-Order DataAli Anaissi, Seid Miad Zandavi. ijcnn 2019: 1-8 [doi]

Correlated Multi-label Classification with Incomplete Label Space and Class ImbalanceAli Braytee, Wei Liu 0007, Ali Anaissi, Paul J. Kennedy. tist, 10(5), 2019. [doi]

Optimizing the Waiting Time for Airport Security Screening Using Multiple Queues and ServersMohamad Naji, Ali Braytee, Ali Anaissi, Omid Ameri Sianaki, Ahmed Al-Ani. cisis 2020: 496-507 [doi]

Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security ScreeningMohamad Naji, Ahmed Al-Ani, Ali Braytee, Ali Anaissi, Paul J. Kennedy. aina 2019: 923-935 [doi]

Concept Drift Adaption for Online Anomaly Detection in Structural Health MonitoringHongda Tian, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang 0002, Fang Chen. CIKM 2019: 2813-2821 [doi]

Augmented Reality Vision Improving Educational LearningSeid Miad Zandavi, Zexi Hu, Yuk Ying Chung, Ali Anaissi. ajiips, 15(3):49-58, 2019.

2018

Gaussian Kernel Parameter Optimization in One-Class Support Vector MachinesAli Anaissi, Ali Braytee, Mohamad Naji. ijcnn 2018: 1-8 [doi]

Regularized Tensor Learning with Adaptive One-Class Support Vector MachinesAli Anaissi, Young Lee, Mohamad Naji. iconip 2018: 612-624 [doi]

A Tensor-Based Structural Damage Identification and Severity AssessmentAli Anaissi, Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Nguyen Lu Dang Khoa. sensors, 18(1):111, 2018. [doi]

Automated parameter tuning in one-class support vector machine: an application for damage detectionAli Anaissi, Nguyen Lu Dang Khoa, Yang Wang. ijdsa, 6(4):311-325, 2018. [doi]

Adaptive Online One-Class Support Vector Machines with Applications in Structural Health MonitoringAli Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehrisadat Makki Alamdari, Yang Wang. tist, 9(6), 2018. [doi]

Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional DataAli Braytee, Ali Anaissi, Paul J. Kennedy. iconip 2018: 423-434 [doi]

Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based FeaturesNguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Ali Anaissi, Yang Wang. In Jianlong Zhou, Fang Chen, editors, Human and Machine Learning - Visible, Explainable, Trustworthy and Transparent. Human-Computer Interaction Series, pages 409-435, Springer, 2018. [doi]

2017

2015

ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony AlgorithmAli Braytee, Farookh Khadeer Hussain, Ali Anaissi, Paul J. Kennedy. icmla 2015: 594-599 [doi]

2013

Case-base retrieval of childhood leukaemia patients using gene expression dataAli Anaissi. PhD thesis, University of Technology Sydney, Australia, 2013. [doi]

A balanced iterative random forest for gene selection from microarray dataAli Anaissi, Paul J. Kennedy, Madhu Goyal, Daniel R. Catchpoole. bmcbi, 14:261, 2013. [doi]

2011

Feature Selection of Imbalanced Gene Expression Microarray DataAli Anaissi, Paul J. Kennedy, Madhu Goyal. snpd 2011: 73-78 [doi]

2010

A framework for high dimensional data reduction in the microarray domainAli Anaissi, Paul J. Kennedy, Madhu Goyal. bic-ta 2010: 903-907 [doi]

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2010

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