Items where Subject is "46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461103 Deep learning"

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Number of items at this level: 12.

C

Chaturvedi, Iti, Satapathy, Ranjan, Cavallari, Sandro, and Cambria, Erik (2019) Fuzzy commonsense reasoning for multimodal sentiment analysis. Pattern Recognition Letters, 125. pp. 264-270.

Chaturvedi, Iti, Cavallari, Sandro, Cambria, Erik, and Zheng, Vincent (2017) Learning word vectors in Deep Walk using convolution. In: Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. pp. 323-328. From: FLAIRS-30: 30th International Florida Artificial Intelligence Research Society Conference, 22-24 May 2017, Marco Island, FL, USA.

Chaturvedi, Iti, Cambria, Erik, and Vilares, David (2016) Lyapunov filtering of objectivity for Spanish sentiment model. In: Proceedings of the International Joint Conference on Neural Networks. pp. 4474-4481. From: IJCNN: 2016 International Joint Conference on Neural Networks, 24-29 July 2016, Vancouver, Canada.

H

Hussain, Emtiaz, Hasan, Mahmudul, Rahman, Md Anisur, Lee, Ickjai, Tamanna, Tasmi, and Parvez, Mohammed Zavid (2021) CoroDet: a deep learning based classification for COVID-19 detection using chest X-ray images. Chaos Solitons and Fractals, 142. 110495.

L

Liu, Hong-Bin, and Lee, Ickjai (2020) Towards realistic meteorological predictive learning using conditional GAN. IEEE Access, 8. pp. 93179-93186.

Liu, Hong-Bin, Wu, Hao, Sun, Weiwei, and Lee, Ickjai (2019) Spatio-temporal GRU for trajectory classification. In: Proceedings of the 19th IEEE International Conference on Data Mining. pp. 1228-1233. From: ICDM 2019: 19th IEEE International Conference on Data Mining, 8-11 November 2019, Beijng, China.

Liu, Hongbin, and Lee, Ickjai (2017) End-to-end trajectory transportation mode classification using Bi-LSTM recurrent neural network. In: Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering. 158. From: ISKE 2017: 12th International Conference on Intelligent Systems and Knowledge Engineering, 24-26 November 2017, Nanjing, China.

M

Madhukumar, Neethu, Wang, Eric, Zhang, Yi-Fan, and Xiang, Wei (2020) Consensus forecast of rainfall using hybrid climate learning model. IEEE Internet of Things Journal. (In Press)

P

Poria, Soujanya, Chaturvedi, Iti, Cambria, Erik, and Hussian, Amir (2017) Convolutional MKL based multimodal emotion recognition and sentiment analysis. In: Proceedings of the 16th International Conference on Data Mining. pp. 439-448. From: ICDM 2016: 16th International Conference on Data Mining, 12-15 December 2016, Barcelona, Spain.

S

Schoenhoff, Kurt, Holdsworth, Jason, and Lee, Ickjai (2020) Efficient semantic segmentation through dense upscaling convolutions. In: Proceedings of the 3rd International Conference on Software Engineering and Information Management. pp. 244-248. From: ICSIM'20: 3rd International Conference on Software Engineering and Information Management, 12-15 January 2020, Sydney, NSW, Australia.

Y

Young, Tom, Cambria, Erik, Chaturvedi, Iti, Zhou, Hao, Biswas, Subham, and Huang, Minlie (2018) Augmenting end-to-end dialogue systems with commonsense knowledge. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence. pp. 4970-4977. From: AAAI-18: 32nd AAAI Conference on Artificial Intelligence, 2-7 February 2018, New Orleans, LA, USA.

Yan, Ke, Wang, Xudong, Du, Yang, Jin, Ning, Huang, Haichao, and Zhou, Hangxia (2018) Multi-step short-term power consumption forecasting with a hybrid deep learning strategy. Energies, 11. 3089.

This list was generated on Sun Apr 18 22:59:20 2021 AEST.