Computer Vision:

[1]  Nguyen, D., Nguyen, D. T., Sridharan, S., Denman, S., Nguyen, T. T., Dean, D., & Fookes, C. (2023). Meta-transfer learning for emotion recognition. Neural Computing and Applications, 35, 10535-10549. (IF=6.0)

[2]  Nguyen, T. T., Nguyen, Q. V. H., Nguyen, D. T., Nguyen, D. T., Huynh-The, T., Nahavandi, S., ... & Nguyen, C. M. (2022). Deep learning for deepfakes creation and detection: A survey. Computer Vision and Image Understanding, 223, 103525. (IF=4.5)

[3]  Nguyen, D., Nguyen, D. T., Zeng, R., Nguyen, T. T., Tran, S. N., Nguyen, T., ... & Fookes, C. (2021). Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition. IEEE Transactions on Multimedia, 24, 1313-1324. (IF=7.3)

Medical Image Processing:

[4]  Iqbal, M. Z., Razzak, I., Qayyum, A., Nguyen, T. T., Tanveer, M., & Sowmya, A. (2024). Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality. Information Fusion, 102, 102061. (IF=18.6)

[5]  Qayyum, A., Benzinou, A., Razzak, I., Mazher, M., Nguyen, T. T., Puig, D., & Vafaee, F. (2024). 3D-IncNet: Head and Neck (H&N) primary tumors segmentation and survival prediction. IEEE Journal of Biomedical and Health Informatics, 28(3), 1185-1194. (IF=7.7)

[6]  Khatami, A., Babaie, M., Tizhoosh, H. R., Khosravi, A., Nguyen, T. T., & Nahavandi, S. (2018). A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval. Expert Systems with Applications, 100, 224-233. (IF=8.5)

[7]  Khatami, A., Khosravi, A., Nguyen, T. T., Lim, C. P., & Nahavandi, S. (2017). Medical image analysis using wavelet transform and deep belief networks. Expert Systems with Applications, 86, 190-198. (IF=8.5)

Signal Processing:

[8]  Nguyen, L. H., Pham, N. T., Nguyen, L. T., Nguyen, T. T., Nguyen, H., Nguyen, N. D., Nguyen, T. T., & Lim, C. P. (2023). Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds. Expert Systems with Applications, 213, 119212. (IF=8.5)

[9]  Hassan, K. M., Islam, M. R., Nguyen, T. T., & Molla, M. K. I. (2022). Epileptic seizure detection in EEG using mutual information-based best individual feature selection. Expert Systems with Applications, 193, 116414. (IF=8.5)

[10]  Nguyen, T. T., Khosravi, A., Creighton, D., & Nahavandi, S. (2015). Fuzzy system with tabu search learning for classification of motor imagery data. Biomedical Signal Processing and Control, 20, 61-70. (IF=5.1)

Natural Language Processing:

[11]  Nguyen, T. T., Huynh, T. T., Yin, H., Weidlich, M., Nguyen, T. T., Mai, T. S., & Nguyen, Q. V. H. (2023). Detecting rumours with latency guarantees using massive streaming data. The VLDB Journal, 32, 369-387. (IF=4.2)

[12]  Nguyen, T. T., Phan, T. C., Pham, H. T., Nguyen, T. T., Jo, J., & Nguyen, Q. V. H. (2022). Example-based explanations for streaming fraud detection on graphs. Information Sciences, 621, 319-340. (IF=8.1)

[13]  Nguyen, T. T., Nguyen, T. T., Nguyen, T. T., Vo, B., Jo, J., & Nguyen, Q. V. H. (2021). JUDO: Just-in-time rumour detection in streaming social platforms. Information Sciences, 570, 70-93. (IF=8.1)

Bioinformatics:

[14]  Nguyen, T. T., Pathirana, P. N., Nguyen, T., Nguyen, Q. V. H., Bhatti, A., Nguyen, D. C., ... & Abdelrazek, M. (2021). Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus). Scientific Reports, 11(1), 3487. (IF=4.6)

[15]  Nguyen, T. T., & Nahavandi, S. (2015). Modified AHP for gene selection and cancer classification using type-2 fuzzy logic. IEEE Transactions on Fuzzy Systems, 24(2), 273-287. (IF=11.9)

[16]  Nguyen, T. T., Khosravi, A., Creighton, D., & Nahavandi, S. (2015). Hidden Markov models for cancer classification using gene expression profiles. Information Sciences, 316, 293-307. (IF=8.1)

Neurosciences:

[17]  Zhang, J., Nguyen, T. T., Cogill, S., Bhatti, A., Luo, L., Yang, S., & Nahavandi, S. (2018). A review on cluster estimation methods and their application to neural spike data. Journal of Neural Engineering, 15(3), 031003. (IF=4.0)

[18]  Veerabhadrappa, R., Lim, C. P., Nguyen, T. T., Berk, M., Tye, S. J., Monaghan, P., ... & Bhatti, A. (2016). Unified selective sorting approach to analyse multi-electrode extracellular data. Scientific Reports, 6(1), 28533. (IF=4.6)

[19]  Nguyen, T. T., Khosravi, A., Creighton, D., & Nahavandi, S. (2015). EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems. Expert Systems with Applications, 42(9), 4370-4380. (IF=8.5)

[20]  Nguyen, T. T., Khosravi, A., Creighton, D., & Nahavandi, S. (2015). EEG data classification using wavelet features selected by Wilcoxon statistics. Neural Computing and Applications, 26, 1193-1202. (IF=6.0)

Computational Finance:

[21]  Nguyen, T. T., Gordon-Brown, L., Khosravi, A., Creighton, D., & Nahavandi, S. (2014). Fuzzy portfolio allocation models through a new risk measure and fuzzy Sharpe ratio. IEEE Transactions on Fuzzy Systems, 23(3), 656-676. (IF=11.9)

[22]  Nguyen, T. T., & Gordon-Brown, L. (2011). Constrained fuzzy hierarchical analysis for portfolio selection under higher moments. IEEE Transactions on Fuzzy Systems, 20(4), 666-682. (IF=11.9)

Reinforcement Learning:

[23]  Nguyen, T. T., & Reddi, V. J. (2023). Deep reinforcement learning for cyber security. IEEE Transactions on Neural Networks and Learning Systems, 34(8), 3779-3795. (IF=10.4)

[24]  Nguyen, N. D., Nguyen, T. T., Pham, N. T., Nguyen, H., Nguyen, D. T., Nguyen, T. D., ... & Nahavandi, S. (2022). Towards designing a generic and comprehensive deep reinforcement learning framework. Applied Intelligence, 53, 2967-2988. (IF=5.3)

[25]  Nguyen, N. D., Nguyen, T. T., Vamplew, P., Dazeley, R., & Nahavandi, S. (2021). A prioritized objective actor-critic method for deep reinforcement learning. Neural Computing and Applications, 33, 10335-10349. (IF=6.0)

[26]  Nguyen, T. T., Nguyen, N. D., & Nahavandi, S. (2020). Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications. IEEE Transactions on Cybernetics, 50(9), 3826-3839. (IF=11.8)

[27]  Nguyen, T. T., Nguyen, N. D., Vamplew, P., Nahavandi, S., Dazeley, R., & Lim, C. P. (2020). A multi-objective deep reinforcement learning framework. Engineering Applications of Artificial Intelligence, 96, 103915. (IF=8.0)

[28]  Nguyen, N. D., Nguyen, T. T., & Nahavandi, S. (2019). Multi-agent behavioral control system using deep reinforcement learning. Neurocomputing, 359, 58-68. (IF=6.0)

Machine Learning General:

[29]  Pham, N. T., Dang, D. N. M., Nguyen, N. D., Nguyen, T. T., Nguyen, H., Manavalan, B., ... & Nguyen, S. D. (2023). Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition. Expert Systems with Applications, 230, 120608. (IF=8.5)

[30]  Huynh-The, T., Pham, Q. V., Pham, X. Q., Nguyen, T. T., Han, Z., & Kim, D. S. (2023). Artificial intelligence for the metaverse: A survey. Engineering Applications of Artificial Intelligence, 117, 105581. (IF=8.0)

[31]  Ramu, S. P., Boopalan, P., Pham, Q. V., Maddikunta, P. K. R., Huynh-The, T., Alazab, M., Nguyen, T. T., & Gadekallu, T. R. (2022). Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions. Sustainable Cities and Society, 79, 103663. (IF=11.7)

[32]  Tarkhaneh, O., Nguyen, T. T., & Mazaheri, S. (2021). A novel wrapper-based feature subset selection method using modified binary differential evolution algorithm. Information Sciences, 565, 278-305. (IF=8.1)

[33]  Salaken, S. M., Khosravi, A., Nguyen, T. T., & Nahavandi, S. (2019). Seeded transfer learning for regression problems with deep learning. Expert Systems with Applications, 115, 565-577. (IF=8.5)

[34]  Salaken, S. M., Khosravi, A., Nguyen, T. T., & Nahavandi, S. (2017). Output uncertainty score for decision making processes using interval type-2 fuzzy systems. Engineering Applications of Artificial Intelligence, 65, 159-167. (IF=8.0)

[35]  Salaken, S. M., Khosravi, A., Nguyen, T. T., & Nahavandi, S. (2017). Extreme learning machine based transfer learning algorithms: A survey. Neurocomputing, 267, 516-524. (IF=6.0)

Data Mining General:

[36]  Nguyen, T. T., Huynh, T. T., Pham, M. T., Hoang, T. D., Nguyen, T. T., & Nguyen, Q. V. H. (2023). Validating functional redundancy with mixed generative adversarial networks. Knowledge-Based Systems, 264, 110342. (IF=8.8)

[37]  Huynh-The, T., Pham, Q. V., Nguyen, T. V., Nguyen, T. T., da Costa, D. B., & Kim, D. S. (2022). RanNet: Learning residual-attention structure in CNNs for automatic modulation classification. IEEE Wireless Communications Letters, 11(6), 1243-1247. (IF=6.3)

[38]  Nguyen, T. T., Khosravi, A., Creighton, D., & Nahavandi, S. (2015). Classification of healthcare data using genetic fuzzy logic system and wavelets. Expert Systems with Applications, 42(4), 2184-2197. (IF=8.5)

[39]  Nguyen, T. T., Bhatti, A., Khosravi, A., Haggag, S., Creighton, D., & Nahavandi, S. (2015). Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes. Neurocomputing, 153, 199-210. (IF=6.0)

[40]  Nguyen, T. T., Khosravi, A., Creighton, D., & Nahavandi, S. (2015). Medical data classification using interval type-2 fuzzy logic system and wavelets. Applied Soft Computing, 30, 812-822. (IF=8.7)