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ORCIDAli Braytee
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- affiliation: University Of Technology Sydney, Australia
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2020 – today
- 2026
[j9]Kunal Chaturvedi, Nicholas Yang, Donald G. Dansereau, Christopher A. Lovejoy, Ali Braytee
, Miriam S. Welgampola, Mukesh Prasad:
Diagnosis of Benign Positional Vertigo: A Systematic Review of Machine Learning and Deep Learning within Videonystagmography. ACM Comput. Surv. 58(8): 217:1-217:29 (2026)- [j8]Taoyuan Zhu, Ali Braytee, Karthick Thiyagarajan, Xing Zi, Samir Mustapha, Xian Tao, Mukesh Prasad:
Autonomous Detection of Concrete Cracks Using Self-supervised DinoV2. Mach. Intell. Res. 23(1): 168-184 (2026) - [i19]Ali Anaissi, Seid Miad Zandavi, Weidong Huang, Junaid Akram, Basem Suleiman, Ali Braytee, Jie Hua:
Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics. CoRR abs/2601.00277 (2026) - [i18]Ali Anaissi, Ali Braytee, Weidong Huang, Junaid Akram, Alaa Farhat, Jie Hua:
Towards Automated Differential Diagnosis of Skin Diseases Using Deep Learning and Imbalance-Aware Strategies. CoRR abs/2601.00286 (2026) - 2025
- [c41]Ahmad Hussein, Ali Anaissi, Mukesh Prasad, Ali Braytee:
Integrating Vision Transformers and Autoencoders for Interpretable Cancer Risk Assessment. AusDM 2025: 316-330 - [c40]Ali Anaissi, Seid Miad Zandavi, Weidong Huang, Junaid Akram, Basem Suleiman, Ali Braytee, Jie Hua:
Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics. AusDM 2025: 371-382 - [c39]Ali Anaissi, Ali Braytee, Weidong Huang, Junaid Akram, Alaa Farhat, Jie Hua:
Towards Automated Differential Diagnosis of Skin Diseases Using Deep Learning and Imbalance-Aware Strategies. AusDM 2025: 383-396 - [c38]Navid Ashrafi, Julia Schorlemmer, Francesco Vona, Tanja Kojic, Stefan Hillmann, Ali Braytee, Yu-Kai Wang, A. Baki Kocaballi, Catarina Moreira, Sebastian Möller, Jan-Niklas Voigt-Antons:
Designing Adaptive Virtual Health Assistants Using Cognitive and Emotional State Predictions. HCI (83) 2025: 243-253 - [c37]Ali Anaissi, Junaid Akram, Kunal Chaturvedi, Ali Braytee:
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering. ICCS (2) 2025: 134-146 - [c36]Taoxu Zhao, Meisi Li, Kehao Chen, Liye Wang, Xucheng Zhou, Kunal Chaturvedi, Mukesh Prasad, Ali Anaissi, Ali Braytee:
Enhancing Sentiment Analysis Through Multimodal Fusion: A BERT-DINOv2 Approach. ICCS (4) 2025: 207-215 - [c35]Yanjie Wu, Yuhao Ji, Saiho Lee, Juniad Akram, Ali Braytee, Ali Anaissi:
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology. ICCS (4) 2025: 225-232 - [c34]Lilong Liao, Yingjie Yan, Xiaojie Lin, Ali Braytee:
LaTeX-FC: Automating Latex Format Conversion Across Journals via LLMs. ICDM (Workshops) 2025: 2565-2568 - [c33]Ali Anaissi, Weidong Huang, Jie Hua, Junaid Akram, Ahmad Hussein, Ali Braytee:
Decentralized Swarm Learning with Class-Weighted Aggregation for Robust and Privacy-Preserving Cancer Diagnosis. ICIT 2025: 143-150 - [c32]Navid Ashrafi, Julia Schorlemmer, Francesco Vona, Tanja Kojic, Stefan Hillmann, Ali Braytee, Yu-Kai Wang, A. Baki Kocaballi, Catarina Moreira, Sebastian Möller, Jan-Niklas Voigt-Antons:
Emotionally Adaptive Virtual Health Assistants for Enhanced Social Presence and Trust. IVA (Adjunct) 2025: 44:1-44:7 - [c31]Yining Zhao, Mukesh Prasad, Ali Braytee:
DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning. MICCAI (7) 2025: 205-215 - [c30]Xing Zi, Jinghao Xiao, Yunxiao Shi, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad:
RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering. ACM Multimedia 2025: 12905-12911 - [c29]Guanqi Cheng, Chang Qu, Ali Braytee:
UTSolve at the NTCIR-18 MedNLP-CHAT: Leveraging BioBERT forMedical Text Classification. NTCIR 2025 - [c28]Kairui Jin, Xing Zi, Karthick Thiyagarajan, Ali Braytee, Mukesh Prasad:
IP-VQA Dataset: Empowering Precision Agriculture with Autonomous Insect Pest Management through Visual Question Answering. WWW (Companion Volume) 2025: 2000-2007 - [c27]Rishik Sood, Ali Anaissi, Weidong Huang, Ali Braytee:
MemHateCaptioning: Enhancing Hate Speech Detection in Memes with Context-Aware Captioning and Chain-of-Thought. WWW (Companion Volume) 2025: 2034-2041 - [i17]Xing Zi, Kairui Jin, Xian Tao, Jun Li, Ali Braytee, Rajiv Ratn Shah, Mukesh Prasad:
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing. CoRR abs/2503.07911 (2025) - [i16]Taoxu Zhao, Meisi Li, Kehao Chen, Liye Wang, Xucheng Zhou, Kunal Chaturvedi, Mukesh Prasad, Ali Anaissi, Ali Braytee:
Enhancing Sentiment Analysis through Multimodal Fusion: A BERT-DINOv2 Approach. CoRR abs/2503.07943 (2025) - [i15]Yuxin Miao, Xinyuan Yang, Hongda Fan, Yichun Li, Yishu Hong, Xiechen Guo, Ali Braytee, Weidong Huang, Ali Anaissi:
FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation. CoRR abs/2503.15870 (2025) - [i14]Ahmad Hussein, Mukesh Prasad, Ali Anaissi, Ali Braytee:
Vision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging. CoRR abs/2504.04749 (2025) - [i13]Xing Zi, Tengjun Ni, Xianjing Fan, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad:
AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions. CoRR abs/2504.09528 (2025) - [i12]Yining Zhao, Ali Braytee, Mukesh Prasad:
DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning. CoRR abs/2504.09598 (2025) - [i11]Ali Anaissi, Junaid Akram, Kunal Chaturvedi, Ali Braytee:
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering. CoRR abs/2504.16723 (2025) - [i10]Yanjie Wu, Yuhao Ji, Saiho Lee, Juniad Akram, Ali Braytee, Ali Anaissi:
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology. CoRR abs/2504.16732 (2025) - [i9]Xing Zi, Jinghao Xiao, Yunxiao Shi, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad:
RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering. CoRR abs/2508.07918 (2025) - 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) - [c26]Tariq Alghamdi, Mukesh Prasad, Ali Braytee:
Zero-shot Implicit Fine-grained Named Entity Categorization with LLM-based Deep Pattern Mining. ACIS 2024 - [c25]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 - [c24]Ali Anaissi, Ali Braytee, Junaid Akram:
Fine-Tuning LLMs for Reliable Medical Question-Answering Services. ICDM (Workshops) 2024: 146-153 - [c23]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. ICDM (Workshops) 2024: 164-173 - [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 2026-04-22 02:18 CEST by the dblp team
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