Ali Braytee
Orcid: 0000-0003-2561-6496
According to our database1,
Ali Braytee
authored at least 27 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
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