Ali Braytee

Orcid: 0000-0003-2561-6496

According to our database1, Ali Braytee authored at least 35 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Robust multi-label feature learning-based dual space.
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

Fine-Tuning LLMs for Reliable Medical Question-Answering Services.
CoRR, 2024

Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration.
CoRR, 2024

Explainable AI Methods for Multi-Omics Analysis: A Survey.
CoRR, 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

Integration of Self-supervised BYOL in Semi-supervised Medical Image Recognition.
Proceedings of the Computational Science - ICCS 2024, 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

Self-Supervised Object Segmentation with a Cut-and-Pasting GAN.
CoRR, 2023

Damage GAN: A Generative Model for Imbalanced Data.
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

Deep Learning Algorithm Based Support Vector Machines.
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
Learning Discriminative Features Using Multi-label Dual Space.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning Approach.
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

Zero-Shot Learning with Missing Attributes using Semantic Correlations.
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
Robust classification of high dimensional unbalanced single and multi-label datasets
PhD thesis, 2018

Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines.
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

Multi-Label Feature Selection using Correlation Information.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data.
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
A Review and Comparison of Service E-Contract Architecture Metamodels.
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


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