Ali Braytee
Orcid: 0000-0003-2561-6496
According to our database1,
Ali Braytee
authored at least 48 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering.
CoRR, August, 2025
CoRR, April, 2025
CoRR, April, 2025
Vision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging.
CoRR, April, 2025
FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation.
CoRR, March, 2025
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing.
CoRR, March, 2025
MemHateCaptioning: Enhancing Hate Speech Detection in Memes with Context-Aware Captioning and Chain-of-Thought.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
IP-VQA Dataset: Empowering Precision Agriculture with Autonomous Insect Pest Management through Visual Question Answering.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
UTSolve at the NTCIR-18 MedNLP-CHAT: Leveraging BioBERT forMedical Text Classification.
Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies, 2025
Proceedings of the Computational Science - ICCS 2025, 2025
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology.
Proceedings of the Computational Science - ICCS 2025, 2025
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering.
Proceedings of the Computational Science - ICCS 2025, 2025
2024
Int. J. Data Sci. Anal., May, 2024
Early Parkinson's Disease Diagnosis through Hand-Drawn Spiral and Wave Analysis Using Deep Learning Techniques.
Inf., April, 2024
A Novel Dual-Pipeline based Attention Mechanism for Multimodal Social Sentiment Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Ensemble Pretrained Models for Multimodal Sentiment Analysis using Textual and Video Data Fusion.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration.
Proceedings of the IEEE International Conference on Data Mining, 2024
Proceedings of the IEEE International Conference on Data Mining, 2024
Proceedings of the Computational Science - ICCS 2024, 2024
Zero-shot Implicit Fine-grained Named Entity Categorization with LLM-based Deep Pattern Mining.
Proceedings of the Australasian Conference on Information Systems, 2024
2023
Multi-objective variational autoencoder: an application for smart infrastructure maintenance.
Appl. Intell., May, 2023
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation.
Sensors, April, 2023
Proceedings of the Data Science and Machine Learning, 2023
2022
Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation.
IEEE Trans. Artif. Intell., 2022
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022
A Comparative Analysis of Loss Functions for Handling Foreground-Background Imbalance in Image Segmentation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Design of airport security screening using queueing theory augmented with particle swarm optimisation.
Serv. Oriented Comput. Appl., 2020
2019
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance.
ACM Trans. Intell. Syst. Technol., 2019
Optimizing the Waiting Time for Airport Security Screening Using Multiple Queues and Servers.
Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2019
Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening.
Proceedings of the Web, Artificial Intelligence and Network Applications, 2019
2018
PhD thesis, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional Data.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015