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Ali Braytee
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2020 – today
- 2024
- [j7]Ali Braytee, Wei Liu:
Robust multi-label feature learning-based dual space. Int. J. Data Sci. Anal. 17(4): 373-387 (2024) - [j6]Yingcong Huang, Kunal Chaturvedi, Al-Akhir Nayan, Mohammad Hesam Hesamian, Ali Braytee, Mukesh Prasad:
Early Parkinson's Disease Diagnosis through Hand-Drawn Spiral and Wave Analysis Using Deep Learning Techniques. Inf. 15(4): 220 (2024) - [c23]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 - [c22]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 - [c21]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 - [i8]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) - [i7]Ahmad Hussein, Mukesh Prasad, Ali Braytee:
Explainable AI Methods for Multi-Omics Analysis: A Survey. CoRR abs/2410.11910 (2024) - [i6]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) - [i5]Ali Anaissi, Ali Braytee, Junaid Akram:
Fine-Tuning LLMs for Reliable Medical Question-Answering Services. CoRR abs/2410.16088 (2024) - 2023
- [j5]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) - [j4]Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad:
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation. Sensors 23(7): 3649 (2023) - [c20]Ali Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji, Widad Alyassine:
Damage GAN: A Generative Model for Imbalanced Data. AusDM 2023: 48-61 - [i4]Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad:
Self-Supervised Object Segmentation with a Cut-and-Pasting GAN. CoRR abs/2301.00366 (2023) - [i3]Ali Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji, Widad Alyassine:
Damage GAN: A Generative Model for Imbalanced Data. CoRR abs/2312.04862 (2023) - 2022
- [j3]Ali Braytee, Mohamad Naji, Paul J. Kennedy:
Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation. IEEE Trans. Artif. Intell. 3(3): 370-380 (2022) - [c19]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 - [c18]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 - [c17]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 - [c16]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 - [i2]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) - 2021
- [c15]Ali Braytee, Mohamad Naji, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad:
Zero-Shot Learning with Missing Attributes using Semantic Correlations. IJCNN 2021: 1-7 - [c14]Kunal Chaturvedi, Ali Braytee, Dinesh Kumar Vishwakarma, Muhammad Saqib, Domingo Mery, Mukesh Prasad:
Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection. IJCNN 2021: 1-8 - [c13]Mohamad Naji, Ali Anaissi, Ali Braytee, Madhu Goyal:
Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning Approach. IJCNN 2021: 1-8 - [c12]Ali Braytee, Wei Liu:
Learning Discriminative Features Using Multi-label Dual Space. PAKDD (3) 2021: 233-245 - [i1]Ali Braytee, Wei Liu:
Learning Discriminative Features using Multi-label Dual Space. CoRR abs/2102.13234 (2021) - 2020
- [j2]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)
2010 – 2019
- 2019
- [j1]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) - [c11]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 - [c10]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 - 2018
- [b1]Ali Braytee:
Robust classification of high dimensional unbalanced single and multi-label datasets. University of Technology Sydney, Australia, 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, Ali Braytee, Mohamad Naji:
Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines. IJCNN 2018: 1-8 - 2017
- [c7]Ali Braytee, Wei Liu, Daniel R. Catchpoole, Paul J. Kennedy:
Multi-Label Feature Selection using Correlation Information. CIKM 2017: 1649-1656 - [c6]Ali Braytee, Wei Liu, Paul J. Kennedy:
Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data. IJCNN 2017: 4512-4519 - [c5]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 - 2016
- [c4]Ali Braytee, Daniel R. Catchpoole, Paul J. Kennedy, Wei Liu:
Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients. CIKM 2016: 2405-2408 - [c3]Ali Braytee, Wei Liu, Paul J. Kennedy:
A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data. ICONIP (3) 2016: 78-86 - 2015
- [c2]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 - [c1]Ali Braytee, Asif Qumer Gill, Paul J. Kennedy, Farookh Khadeer Hussain:
A Review and Comparison of Service E-Contract Architecture Metamodels. ICONIP (4) 2015: 583-595
Coauthor Index
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last updated on 2024-12-01 00:15 CET by the dblp team
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