Ali Braytee

71 papers A* 1A 2B 7C 1Misc 5Journal 28Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Autonomous Detection of Concrete Cracks Using Self-supervised DinoV2.
Mach. Intell. Res.
Taoyuan Zhu, Ali Braytee, Karthick Thiyagarajan, Xing Zi, Samir Mustapha, Xian Tao, Mukesh Prasad
2026 J jnl
Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics.
CoRR
Ali Anaissi, Seid Miad Zandavi, Weidong Huang, Junaid Akram, Basem Suleiman, Ali Braytee, Jie Hua
2026 J jnl
Diagnosis of Benign Positional Vertigo: A Systematic Review of Machine Learning and Deep Learning within Videonystagmography.
ACM Comput. Surv.
Kunal Chaturvedi, Nicholas Yang, Donald G. Dansereau, Christopher A. Lovejoy, Ali Braytee, Miriam S. Welgampola, Mukesh Prasad
2026 B conf
PromptFusionSR: Multimodal Enhancement of Low-Resolution Images with Automatic Prompt-Guided Diffusion.
IDA
Chang Qu, Ilhwan Kwon, Karthick Thiyagarajan, Mukesh Prasad, Ali Braytee
2026 J jnl
Towards Automated Differential Diagnosis of Skin Diseases Using Deep Learning and Imbalance-Aware Strategies.
CoRR
Ali Anaissi, Ali Braytee, Weidong Huang, Junaid Akram, Alaa Farhat, Jie Hua
2025 J jnl
AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions.
CoRR
Xing Zi, Tengjun Ni, Xianjing Fan, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad
2025 Misc conf
Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics.
AusDM
Ali Anaissi, Seid Miad Zandavi, Weidong Huang, Junaid Akram, Basem Suleiman, Ali Braytee, Jie Hua
2025 — conf
Decentralized Swarm Learning with Class-Weighted Aggregation for Robust and Privacy-Preserving Cancer Diagnosis.
ICIT
Ali Anaissi, Weidong Huang, Jie Hua, Junaid Akram, Ahmad Hussein, Ali Braytee
2025 — conf
Designing Adaptive Virtual Health Assistants Using Cognitive and Emotional State Predictions.
HCI (83)
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
2025 — conf
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering.
ICCS (2)
Ali Anaissi, Junaid Akram, Kunal Chaturvedi, Ali Braytee
2025 J jnl
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering.
CoRR
Ali Anaissi, Junaid Akram, Kunal Chaturvedi, Ali Braytee
2025 — conf
DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning.
MICCAI (7)
Yining Zhao, Mukesh Prasad, Ali Braytee
2025 J jnl
DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning.
CoRR
Yining Zhao, Ali Braytee, Mukesh Prasad
2025 — conf
Emotionally Adaptive Virtual Health Assistants for Enhanced Social Presence and Trust.
IVA (Adjunct)
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
2025 — conf
Enhancing Sentiment Analysis Through Multimodal Fusion: A BERT-DINOv2 Approach.
ICCS (4)
Taoxu Zhao, Meisi Li, Kehao Chen, Liye Wang, Xucheng Zhou, Kunal Chaturvedi, Mukesh Prasad, Ali Anaissi, Ali Braytee
2025 J jnl
Enhancing Sentiment Analysis through Multimodal Fusion: A BERT-DINOv2 Approach.
CoRR
Taoxu Zhao, Meisi Li, Kehao Chen, Liye Wang, Xucheng Zhou, Kunal Chaturvedi, Mukesh Prasad, Ali Anaissi, Ali Braytee
2025 J jnl
FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation.
CoRR
Yuxin Miao, Xinyuan Yang, Hongda Fan, Yichun Li, Yishu Hong, Xiechen Guo, Ali Braytee, Weidong Huang, Ali Anaissi
2025 — conf
IP-VQA Dataset: Empowering Precision Agriculture with Autonomous Insect Pest Management through Visual Question Answering.
WWW (Companion Volume)
Kairui Jin, Xing Zi, Karthick Thiyagarajan, Ali Braytee, Mukesh Prasad
2025 Misc conf
Integrating Vision Transformers and Autoencoders for Interpretable Cancer Risk Assessment.
AusDM
Ahmad Hussein, Ali Anaissi, Mukesh Prasad, Ali Braytee
2025 — conf
LaTeX-FC: Automating Latex Format Conversion Across Journals via LLMs.
ICDM (Workshops)
Lilong Liao, Yingjie Yan, Xiaojie Lin, Ali Braytee
2025 — conf
MemHateCaptioning: Enhancing Hate Speech Detection in Memes with Context-Aware Captioning and Chain-of-Thought.
WWW (Companion Volume)
Rishik Sood, Ali Anaissi, Weidong Huang, Ali Braytee
2025 A* conf
RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering.
ACM Multimedia
Xing Zi, Jinghao Xiao, Yunxiao Shi, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad
2025 J jnl
RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering.
CoRR
Xing Zi, Jinghao Xiao, Yunxiao Shi, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad
2025 — conf
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology.
ICCS (4)
Yanjie Wu, Yuhao Ji, Saiho Lee, Juniad Akram, Ali Braytee, Ali Anaissi
2025 J jnl
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology.
CoRR
Yanjie Wu, Yuhao Ji, Saiho Lee, Juniad Akram, Ali Braytee, Ali Anaissi
2025 Misc conf
Towards Automated Differential Diagnosis of Skin Diseases Using Deep Learning and Imbalance-Aware Strategies.
AusDM
Ali Anaissi, Ali Braytee, Weidong Huang, Junaid Akram, Alaa Farhat, Jie Hua
2025 — conf
UTSolve at the NTCIR-18 MedNLP-CHAT: Leveraging BioBERT forMedical Text Classification.
NTCIR
Guanqi Cheng, Chang Qu, Ali Braytee
2025 J jnl
Vision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging.
CoRR
Ahmad Hussein, Mukesh Prasad, Ali Anaissi, Ali Braytee
2025 J jnl
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing.
CoRR
Xing Zi, Kairui Jin, Xian Tao, Jun Li, Ali Braytee, Rajiv Ratn Shah, Mukesh Prasad
2024 — conf
A Novel Dual-Pipeline based Attention Mechanism for Multimodal Social Sentiment Analysis.
WWW (Companion Volume)
Ali Braytee, Andy Shueh-Chih Yang, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad
2024 J jnl
Early Parkinson's Disease Diagnosis through Hand-Drawn Spiral and Wave Analysis Using Deep Learning Techniques.
Inf.
Yingcong Huang, Kunal Chaturvedi, Al-Akhir Nayan, Mohammad Hesam Hesamian, Ali Braytee, Mukesh Prasad
2024 — conf
Ensemble Pretrained Models for Multimodal Sentiment Analysis using Textual and Video Data Fusion.
WWW (Companion Volume)
Zhicheng Liu, Ali Braytee, Ali Anaissi, Guifu Zhang, Lingyun Qin, Junaid Akram
2024 J jnl
Explainable AI Methods for Multi-Omics Analysis: A Survey.
CoRR
Ahmad Hussein, Mukesh Prasad, Ali Braytee
2024 — conf
Fine-Tuning LLMs for Reliable Medical Question-Answering Services.
ICDM (Workshops)
Ali Anaissi, Ali Braytee, Junaid Akram
2024 J jnl
Fine-Tuning LLMs for Reliable Medical Question-Answering Services.
CoRR
Ali Anaissi, Ali Braytee, Junaid Akram
2024 J jnl
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition.
CoRR
Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee
2024 — conf
Integration of Self-supervised BYOL in Semi-supervised Medical Image Recognition.
ICCS (4)
Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee
2024 — conf
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration.
ICDM (Workshops)
Cheng Qian, Xianglong Shi, Shanshan Yao, Yichen Liu, Fengming Zhou, Zishu Zhang, Junaid Akram, Ali Braytee, Ali Anaissi
2024 J jnl
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration.
CoRR
Cheng Qian, Xianglong Shi, Shanshan Yao, Yichen Liu, Fengming Zhou, Zishu Zhang, Junaid Akram, Ali Braytee, Ali Anaissi
2024 J jnl
Robust multi-label feature learning-based dual space.
Int. J. Data Sci. Anal.
Ali Braytee, Wei Liu
2024 — conf
Zero-shot Implicit Fine-grained Named Entity Categorization with LLM-based Deep Pattern Mining.
ACIS
Tariq Alghamdi, Mukesh Prasad, Ali Braytee
2023 Misc conf
Damage GAN: A Generative Model for Imbalanced Data.
AusDM
Ali Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji, Widad Alyassine
2023 J jnl
Damage GAN: A Generative Model for Imbalanced Data.
CoRR
Ali Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji, Widad Alyassine
2023 J jnl
Multi-objective variational autoencoder: an application for smart infrastructure maintenance.
Appl. Intell.
Ali Anaissi, Seid Miad Zandavi, Basem Suleiman, Mohamad Naji, Ali Braytee
2023 J jnl
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation.
Sensors
Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad
2023 J jnl
Self-Supervised Object Segmentation with a Cut-and-Pasting GAN.
CoRR
Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad
2022 — conf
A Comparative Analysis of Loss Functions for Handling Foreground-Background Imbalance in Image Segmentation.
ICONIP (3)
Ali Braytee, Ali Anaissi, Mohamad Naji
2022 B conf
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks.
DSAA
Yuchong Yao, Xiaohui Wang, Yuanbang Ma, Han Fang, Jiaying Wei, Liyuan Chen, Ali Anaissi, Ali Braytee
2022 J jnl
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks.
CoRR
Yuchong Yao, Xiaohui Wang, Yuanbang Ma, Han Fang, Jiaying Wei, Liyuan Chen, Ali Anaissi, Ali Braytee
2022 — conf
Deep Learning Algorithm Based Support Vector Machines.
ICR
Mohamad Naji, Widad Alyassine, Qurat ul Ain Nizamani, Lingrui Zhang, Xue Wei, Ziqiu Xu, Ali Braytee, Ali Anaissi
2022 J jnl
Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation.
IEEE Trans. Artif. Intell.
Ali Braytee, Mohamad Naji, Paul J. Kennedy
2022 — conf
VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection.
ICDM (Workshops)
Yihan Zhou, Jiali Liu, Zekun Yang, Tianyi Liu, Xinyue Meng, Zhuocheng Zhou, Ali Anaissi, Ali Braytee
2021 B conf
Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning Approach.
IJCNN
Mohamad Naji, Ali Anaissi, Ali Braytee, Madhu Goyal
2021 B conf
Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection.
IJCNN
Kunal Chaturvedi, Ali Braytee, Dinesh Kumar Vishwakarma, Muhammad Saqib, Domingo Mery, Mukesh Prasad
2021 — conf
Learning Discriminative Features Using Multi-label Dual Space.
PAKDD (3)
Ali Braytee, Wei Liu
2021 J jnl
Learning Discriminative Features using Multi-label Dual Space.
CoRR
Ali Braytee, Wei Liu
2021 B conf
Zero-Shot Learning with Missing Attributes using Semantic Correlations.
IJCNN
Ali Braytee, Mohamad Naji, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad
2020 J jnl
Design of airport security screening using queueing theory augmented with particle swarm optimisation.
Serv. Oriented Comput. Appl.
Mohamad Naji, Ali Braytee, Ahmed Al-Ani, Ali Anaissi, Madhu Goyal, Paul J. Kennedy
2019 J jnl
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance.
ACM Trans. Intell. Syst. Technol.
Ali Braytee, Wei Liu, Ali Anaissi, Paul J. Kennedy
2019 Misc conf
Optimizing the Waiting Time for Airport Security Screening Using Multiple Queues and Servers.
CISIS
Mohamad Naji, Ali Braytee, Ali Anaissi, Omid Ameri Sianaki, Ahmed Al-Ani
2019 — conf
Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening.
AINA Workshops
Mohamad Naji, Ahmed Al-Ani, Ali Braytee, Ali Anaissi, Paul J. Kennedy
2018 B conf
Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines.
IJCNN
Ali Anaissi, Ali Braytee, Mohamad Naji
2018 — —
Robust classification of high dimensional unbalanced single and multi-label datasets
Ali Braytee
2018 — conf
Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional Data.
ICONIP (3)
Ali Braytee, Ali Anaissi, Paul J. Kennedy
2017 — conf
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring.
PAKDD (1)
Ali Anaissi, Nguyen Lu Dang Khoa, Samir Mustapha, Mehrisadat Makki Alamdari, Ali Braytee, Yang Wang, Fang Chen
2017 A conf
Multi-Label Feature Selection using Correlation Information.
CIKM
Ali Braytee, Wei Liu, Daniel R. Catchpoole, Paul J. Kennedy
2017 B conf
Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data.
IJCNN
Ali Braytee, Wei Liu, Paul J. Kennedy
2016 — conf
A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data.
ICONIP (3)
Ali Braytee, Wei Liu, Paul J. Kennedy
2016 A conf
Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients.
CIKM
Ali Braytee, Daniel R. Catchpoole, Paul J. Kennedy, Wei Liu
2015 — conf
A Review and Comparison of Service E-Contract Architecture Metamodels.
ICONIP (4)
Ali Braytee, Asif Qumer Gill, Paul J. Kennedy, Farookh Khadeer Hussain
2015 C conf
ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm.
ICMLA
Ali Braytee, Farookh Khadeer Hussain, Ali Anaissi, Paul J. Kennedy