Items where Author is "Tran, S. N."
Article
Tran, S. N., Garcez, A., Weyde, T. 
ORCID: 0000-0001-8028-9905 , Yin, J., Zhang, Q. ORCID: 0000-0003-0982-2986 & Karunanithi, M. (2020).
Sequence Classification Restricted Boltzmann Machines With Gated Units.
IEEE Transactions on Neural Networks and Learning Systems, 31(11),
pp. 4806-4815.
doi: 10.1109/tnnls.2019.2958103
Garcez, A., Gori, M., Lamb, L. C. , Serafini, L., Spranger, M. & Tran, S. N. (2019). Neural-symbolic computing: An effective methodology for principled integration of machine learning and reasoning. Journal of Applied Logics, 6(4), pp. 611-631.
Tran, S. N., Cherla, S., Garcez, A. & Weyde, T. (2017). The Recurrent Temporal Discriminative Restricted Boltzmann Machines. CoRR,
Ali, H., Tran, S. N., Benetos, E. & d'Avila Garcez, A. S. (2016). Speaker recognition with hybrid features from a deep belief network. Neural Computing and Applications, 29(6), pp. 13-19. doi: 10.1007/s00521-016-2501-7
Conference or Workshop Item
Tran, S. N. & Garcez, A. (2023). Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines. In: Williams, B., Chen, Y. & Neville, J. (Eds.), Proceedings of the AAAI Conference on Artificial Intelligence. 37th AAAI Conference on Artificial Intelligence, 7-14 Feb 2023, Washington, D.C., USA. doi: 10.1609/aaai.v37i5.25806
Working Paper
Tran, S. N. & Garcez, A. (2014). Adaptive Feature Ranking for Unsupervised Transfer Learning. .