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2020 – today
- 2024
[j18]Yuanzhe Jia, Ali Anaissi, Basem Suleiman:
ResNLS: An improved model for stock price forecasting. Comput. Intell. 40(1) (2024)- [j17]Ali Anaissi
, Basem Suleiman, Widad Alyassine, Seid Miad Zandavi:
A fast parallel tensor decomposition with optimal stochastic gradient descent: an application in structural damage identification. Int. J. Data Sci. Anal. 17(4): 359-371 (2024) - [j16]Junaid Akram, Ali Anaissi, Wajdy Othman, Abdulatif Alabdulatif, Awais Akram:
DroneSSL: Self-Supervised Multimodal Anomaly Detection in Internet of Drone Things. IEEE Trans. Consumer Electron. 70(1): 4287-4298 (2024) - [j15]Junaid Akram, Ali Anaissi, Rajkumar Singh Rathore, Rutvij H. Jhaveri, Awais Akram:
Digital Twin-Driven Trust Management in Open RAN-Based Spatial Crowdsourcing Drone Services. IEEE Trans. Green Commun. Netw. 8(3): 1061-1075 (2024) - [c39]Ali Hassan Alyatimi, Thair Al-Dala'in, Vera Yuk Ying Chung, Ali Anaissi, Edmund J. Sadgrove:
Improving Weeds Detection in Pastures Using Illumination Invariance Techniques. ACR 2024: 70-82 - [c38]Ali Anaissi, Maria P. Mandiola, Sabreena Zoha Amin, Widad Alyassine:
Understanding Consumers Attitudes Towards Sustainability. ACR 2024: 137-150 - [c37]Basem Suleiman, Ali Anaissi, Wenbo Yan, Abubakar Bello, Sophie Zou, Ling Nga Meric Tong:
A Federated Learning Anomaly Detection Approach for IoT Environments. ACR 2024: 206-218 - [c36]Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee:
Integration of Self-supervised BYOL in Semi-supervised Medical Image Recognition. ICCS (4) 2024: 163-170 - [c35]Junaid Akram, Ali Anaissi:
Decentralized PKI Framework for Data Integrity in Spatial Crowdsourcing Drone Services. ICWS 2024: 643-653 - [c34]Junaid Akram, Ali Anaissi:
DDRM: Distributed Drone Reputation Management for Trust and Reliability in Crowdsourced Drone Services. ICWS 2024: 921-931 - [c33]Junaid Akram, Ali Anaissi, Sagar Sidana, Deepak Kumar, Rutvij H. Jhaveri:
Leveraging Blockchain-as-a-Certificate Authority for Authentication in 6G-Enabled Spatial Crowdsourcing Drone Services. VTC Fall 2024: 1-5 - [c32]Ali Braytee, Andy Shueh-Chih Yang, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad:
A Novel Dual-Pipeline based Attention Mechanism for Multimodal Social Sentiment Analysis. WWW (Companion Volume) 2024: 1816-1822 - [c31]Zhicheng Liu, Ali Braytee, Ali Anaissi, Guifu Zhang, Lingyun Qin, Junaid Akram:
Ensemble Pretrained Models for Multimodal Sentiment Analysis using Textual and Video Data Fusion. WWW (Companion Volume) 2024: 1841-1848 - [i20]Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee:
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition. CoRR abs/2404.10405 (2024) - [i19]Basem Suleiman, Muhammad Johan Alibasa, Rizka Widyarini Purwanto, Lewis Jeffries, Ali Anaissi, Jacky Song:
Optimisation of federated learning settings under statistical heterogeneity variations. CoRR abs/2406.06340 (2024) - [i18]Junaid Akram, Ali Anaissi:
DDRM: Distributed Drone Reputation Management for Trust and Reliability in Crowdsourced Drone Services. CoRR abs/2407.00591 (2024) - [i17]Junaid Akram, Ali Anaissi:
Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services. CoRR abs/2407.00873 (2024) - [i16]Junaid Akram, Ali Anaissi:
Decentralized PKI Framework for Data Integrity in Spatial Crowdsourcing Drone Services. CoRR abs/2407.00876 (2024) - [i15]Junaid Akram, Ali Anaissi:
A Blockchain-Enhanced Framework for Privacy and Data Integrity in Crowdsourced Drone Services. CoRR abs/2410.05653 (2024) - [i14]Cheng Qian, Xianglong Shi, Shanshan Yao, Yichen Liu, Fengming Zhou, Zishu Zhang, Junaid Akram, Ali Braytee, Ali Anaissi:
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration. CoRR abs/2410.12856 (2024) - [i13]Ali Anaissi, Ali Braytee, Junaid Akram:
Fine-Tuning LLMs for Reliable Medical Question-Answering Services. CoRR abs/2410.16088 (2024) - 2023
- [j14]Seid Miad Zandavi, Derong Liu, Vera Yuk Ying Chung, Ali Anaissi, Fatemeh Vafaee:
Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles. Artif. Intell. Rev. 56(7): 7263-7278 (2023) - [j13]Ali Anaissi, Seid Miad Zandavi, Basem Suleiman, Mohamad Naji, Ali Braytee:
Multi-objective variational autoencoder: an application for smart infrastructure maintenance. Appl. Intell. 53(10): 12047-12062 (2023) - [j12]Xiao Liu, Bonan Gao, Basem Suleiman, Han You, Zisu Ma, Yu Liu, Ali Anaissi:
Privacy-Preserving Personalized Fitness Recommender System P3FitRec: A Multi-level Deep Learning Approach. ACM Trans. Knowl. Discov. Data 17(6): 76:1-76:24 (2023) - [c30]Basem Suleiman, Ali Anaissi, Yuhuan Xiao, Waheeb Yaqub, Anuradha Samkham Raju, Widad Alyassine:
Supervised Learning-Based Indoor Positioning System Using WiFi Fingerprints. ACR 2023: 56-71 - [c29]Muhammad Johan Alibasa, Basem Suleiman, Abubakar Bello, Ali Anaissi, Qijing Yan, Shulei Chen:
Cloud Resources Usage Prediction Using Deep Learning Models. ACR 2023: 443-452 - [c28]Ali Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji, Widad Alyassine:
Damage GAN: A Generative Model for Imbalanced Data. AusDM 2023: 48-61 - [c27]Ali Anaissi, Basem Suleiman:
B2-FedGAN: Balanced Bi-directional Federated GAN. ICCS (1) 2023: 380-392 - [c26]Ali Anaissi, Kenneth D'souza, Basem Suleiman, Mahmoud Bekhit, Widad Alyassine:
Heterogeneous Transfer Learning in Structural Health Monitoring for High Rise Structures. ICR 2023: 405-417 - [c25]Basem Suleiman, Muhammad Johan Alibasa, Ya-Yuan Chang, Ali Anaissi:
Predictive Auto-scaling: LSTM-Based Multi-step Cloud Workload Prediction. ICSOC Workshops 2023: 5-16 - [i12]Yuanzhe Jia, Ali Anaissi, Basem Suleiman:
ResNLS: An Improved Model for Stock Price Forecasting. CoRR abs/2312.01020 (2023) - [i11]Ali Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji, Widad Alyassine:
Damage GAN: A Generative Model for Imbalanced Data. CoRR abs/2312.04862 (2023) - 2022
- [j11]Seid Miad Zandavi, Yuk Ying Chung, Ali Anaissi:
Accelerated Control Using Stochastic Dual Simplex Algorithm and Genetic Filter for Drone Application. IEEE Trans. Aerosp. Electron. Syst. 58(3): 2180-2191 (2022) - [c24]Yuchong Yao, Xiaohui Wang, Yuanbang Ma, Han Fang, Jiaying Wei, Liyuan Chen, Ali Anaissi, Ali Braytee:
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks. DSAA 2022: 1-10 - [c23]Basem Suleiman, Ali Anaissi, Muhammad Johan Alibasa, Harrison Truong:
Multi-contextual Recommender Using 3D Latent Factor Models and Online Tensor Decomposition. ICCS (1) 2022: 276-290 - [c22]Ali Anaissi, Basem Suleiman, Widad Alyassine:
A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly Detection. ICCS (4) 2022: 373-379 - [c21]Yihan Zhou, Jiali Liu, Zekun Yang, Tianyi Liu, Xinyue Meng, Zhuocheng Zhou, Ali Anaissi, Ali Braytee:
VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection. ICDM (Workshops) 2022: 1-9 - [c20]Ali Braytee, Ali Anaissi, Mohamad Naji:
A Comparative Analysis of Loss Functions for Handling Foreground-Background Imbalance in Image Segmentation. ICONIP (3) 2022: 3-13 - [c19]Mohamad Naji, Widad Alyassine, Qurat ul Ain Nizamani, Lingrui Zhang, Xue Wei, Ziqiu Xu, Ali Braytee, Ali Anaissi:
Deep Learning Algorithm Based Support Vector Machines. ICR 2022: 281-289 - [i10]Yuchong Yao, Xiaohui Wang, Yuanbang Ma, Han Fang, Jiaying Wei, Liyuan Chen, Ali Anaissi, Ali Braytee:
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks. CoRR abs/2201.04809 (2022) - [i9]Xiao Liu, Bonan Gao, Basem Suleiman, Han You, Zisu Ma, Yu Liu, Ali Anaissi:
Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach. CoRR abs/2203.12200 (2022) - 2021
- [j10]Seid Miad Zandavi, Vera Yuk Ying Chung, Ali Anaissi:
Stochastic Dual Simplex Algorithm: A Novel Heuristic Optimization Algorithm. IEEE Trans. Cybern. 51(5): 2725-2734 (2021) - [j9]Seid Miad Zandavi, Vera Yuk Ying Chung, Ali Anaissi:
Multi-user Remote Lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm. Trans. Data Sci. 2(2): 14:1-14:13 (2021) - [j8]Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
Online Tensor-Based Learning Model for Structural Damage Detection. ACM Trans. Knowl. Discov. Data 15(6): 107:1-107:18 (2021) - [c18]Ali Anaissi, Basem Suleiman, Mohamad Naji:
Intelligent Structural Damage Detection: A Federated Learning Approach. IDA 2021: 155-170 - [c17]Ali Braytee, Mohamad Naji, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad:
Zero-Shot Learning with Missing Attributes using Semantic Correlations. IJCNN 2021: 1-7 - [c16]Mohamad Naji, Ali Anaissi, Ali Braytee, Madhu Goyal:
Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning Approach. IJCNN 2021: 1-8 - [c15]Basem Suleiman, Ali Anaissi, Bochao Zhan, Muhammad Johan Alibasa:
Intelligent Failure Prediction in Industrial Vehicles. IJCNN 2021: 1-8 - [i8]Ali Anaissi, Basem Suleiman:
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection. CoRR abs/2111.02627 (2021) - [i7]Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification. CoRR abs/2111.02632 (2021) - 2020
- [j7]Mohamad Naji, Ali Braytee, Ahmed Al-Ani, Ali Anaissi, Madhu Goyal, Paul J. Kennedy:
Design of airport security screening using queueing theory augmented with particle swarm optimisation. Serv. Oriented Comput. Appl. 14(2): 119-133 (2020) - [c14]Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
Online Tensor Decomposition with optimized Stochastic Gradient Descent: an Application in Structural Damage Identification. SSCI 2020: 1257-1264 - [i6]Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
Online Tensor-Based Learning for Multi-Way Data. CoRR abs/2003.04497 (2020) - [i5]Ali Anaissi, Seid Miad Zandavi:
Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance. CoRR abs/2003.05070 (2020) - [i4]Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent. CoRR abs/2003.08844 (2020) - [i3]Seid Miad Zandavi, Vera Yuk Ying Chung, Ali Anaissi:
Multi-User Remote lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm. CoRR abs/2003.11708 (2020) - [i2]Seid Miad Zandavi, Vera Yuk Ying Chung, Ali Anaissi:
Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques. CoRR abs/2004.12886 (2020) - [i1]Seid Miad Zandavi, Vera Yuk Ying Chung, Ali Anaissi:
PIDA: Smooth and Stable Flight Using Stochastic Dual Simplex Algorithm and Genetic Filter. CoRR abs/2006.10522 (2020)
2010 – 2019
- 2019
- [j6]Seid Miad Zandavi, Zexi Hu, Yuk Ying Chung, Ali Anaissi:
Augmented Reality Vision Improving Educational Learning. Aust. J. Intell. Inf. Process. Syst. 15(3): 49-58 (2019) - [j5]Ali Braytee, Wei Liu, Ali Anaissi, Paul J. Kennedy:
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance. ACM Trans. Intell. Syst. Technol. 10(5): 56:1-56:26 (2019) - [c13]Mohamad Naji, Ahmed Al-Ani, Ali Braytee, Ali Anaissi, Paul J. Kennedy:
Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening. AINA Workshops 2019: 923-935 - [c12]Hongda Tian, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang, Fang Chen:
Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring. CIKM 2019: 2813-2821 - [c11]Mohamad Naji, Ali Braytee, Ali Anaissi, Omid Ameri Sianaki, Ahmed Al-Ani:
Optimizing the Waiting Time for Airport Security Screening Using Multiple Queues and Servers. CISIS 2019: 496-507 - [c10]Ali Anaissi, Seid Miad Zandavi:
Multi-Objective Autoencoder for Fault Detection and Diagnosis in Higher-Order Data. IJCNN 2019: 1-8 - 2018
- [j4]Ali Anaissi, Nguyen Lu Dang Khoa, Yang Wang:
Automated parameter tuning in one-class support vector machine: an application for damage detection. Int. J. Data Sci. Anal. 6(4): 311-325 (2018) - [j3]Ali Anaissi, Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Nguyen Lu Dang Khoa:
A Tensor-Based Structural Damage Identification and Severity Assessment. Sensors 18(1): 111 (2018) - [j2]Ali Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehrisadat Makki Alamdari, Yang Wang:
Adaptive Online One-Class Support Vector Machines with Applications in Structural Health Monitoring. ACM Trans. Intell. Syst. Technol. 9(6): 64:1-64:20 (2018) - [c9]Ali Braytee, Ali Anaissi, Paul J. Kennedy:
Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional Data. ICONIP (3) 2018: 423-434 - [c8]Ali Anaissi, Young Lee, Mohamad Naji:
Regularized Tensor Learning with Adaptive One-Class Support Vector Machines. ICONIP (3) 2018: 612-624 - [c7]Ali Anaissi, Ali Braytee, Mohamad Naji:
Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines. IJCNN 2018: 1-8 - [p1]Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Ali Anaissi, Yang Wang:
Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features. Human and Machine Learning 2018: 409-435 - 2017
- [c6]Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang:
Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract. CIKM 2017: 959-967 - [c5]Ali Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehri Makki Alamdari, Yang Wang:
Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring. ICONIP (1) 2017: 484-496 - [c4]Ali Anaissi, Nguyen Lu Dang Khoa, Samir Mustapha, Mehrisadat Makki Alamdari, Ali Braytee, Yang Wang, Fang Chen:
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring. PAKDD (1) 2017: 42-57 - 2015
- [c3]Ali Braytee, Farookh Khadeer Hussain, Ali Anaissi, Paul J. Kennedy:
ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm. ICMLA 2015: 594-599 - 2013
- [b1]Ali Anaissi:
Case-base retrieval of childhood leukaemia patients using gene expression data. University of Technology Sydney, Australia, 2013 - [j1]Ali Anaissi, Paul J. Kennedy, Madhu Goyal, Daniel R. Catchpoole:
A balanced iterative random forest for gene selection from microarray data. BMC Bioinform. 14: 261 (2013) - 2011
- [c2]Ali Anaissi, Paul J. Kennedy, Madhu Goyal:
Feature Selection of Imbalanced Gene Expression Microarray Data. SNPD 2011: 73-78 - 2010
- [c1]Ali Anaissi, Paul J. Kennedy, Madhu Goyal:
A framework for high dimensional data reduction in the microarray domain. BIC-TA 2010: 903-907
Coauthor Index
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last updated on 2024-12-10 21:48 CET by the dblp team
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