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Prof Amir Hussain
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Cited by
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From Brains to Systems
LS Smith, A Hussain, I Aleksander, A Chella, J Gómez-Ramirez, ...
Springer, 2011
1157*2011
A review of affective computing: From unimodal analysis to multimodal fusion
S Poria, E Cambria, R Bajpai, A Hussain
Information Fusion 37, 98-125, 2017
8472017
Sentic computing
E Cambria, A Hussain
Cognitive Computation 7 (2), 183-185, 2015
5822015
Applications of deep learning and reinforcement learning to biological data
M Mahmud, MS Kaiser, A Hussain, S Vassanelli
IEEE transactions on neural networks and learning systems 29 (6), 2063-2079, 2018
4972018
Fusing audio, visual and textual clues for sentiment analysis from multimodal content
S Poria, E Cambria, N Howard, GB Huang, A Hussain
Neurocomputing 174, 50-59, 2016
4482016
Agent-based computing from multi-agent systems to agent-based models: a visual survey
M Niazi, A Hussain
Scientometrics 89 (2), 479, 2011
4362011
Convolutional MKL based multimodal emotion recognition and sentiment analysis
S Poria, I Chaturvedi, E Cambria, A Hussain
2016 IEEE 16th international conference on data mining (ICDM), 439-448, 2016
4142016
Group sparse regularization for deep neural networks
S Scardapane, D Comminiello, A Hussain, A Uncini
Neurocomputing 241, 81-89, 2017
3592017
Senticnet: A publicly available semantic resource for opinion mining
E Cambria, R Speer, C Havasi, A Hussain
2010 AAAI fall symposium series, 2010
3582010
The hourglass of emotions
E Cambria, A Livingstone, A Hussain
Cognitive behavioural systems, 144-157, 2012
3532012
Sentic computing: Techniques, tools, and applications
E Cambria, A Hussain
Springer Science & Business Media, 2012
352*2012
Senticnet 2: A semantic and affective resource for opinion mining and sentiment analysis
E Cambria, C Havasi, A Hussain
Twenty-Fifth International FLAIRS Conference, 2012
2792012
Enhanced SenticNet with affective labels for concept-based opinion mining
S Poria, A Gelbukh, A Hussain, N Howard, D Das, S Bandyopadhyay
IEEE Intelligent Systems 28 (2), 31-38, 2013
2372013
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques (vol 8, pg 757, 2016)
K Dashtipour, S Poria, A Hussain, E Cambria, AYA Hawalah, A Gelbukh, ...
COGNITIVE COMPUTATION 8 (4), 772-775, 2016
212*2016
Towards an intelligent framework for multimodal affective data analysis
S Poria, E Cambria, A Hussain, GB Huang
Neural Networks 63, 104-116, 2015
2052015
Comparing oversampling techniques to handle the class imbalance problem: a customer churn prediction case study
A Amin, S Anwar, A Adnan, M Nawaz, N Howard, J Qadir, A Hawalah, ...
IEEE Access 4, 7940-7957, 2016
1862016
EmoSenticSpace: A novel framework for affective common-sense reasoning
S Poria, A Gelbukh, E Cambria, A Hussain, GB Huang
Knowledge-Based Systems 69, 108-123, 2014
1782014
Unsupervised machine learning for networking: Techniques, applications and research challenges
M Usama, J Qadir, A Raza, H Arif, KLA Yau, Y Elkhatib, A Hussain, ...
IEEE Access 7, 65579-65615, 2019
1762019
Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis
S Poria, H Peng, A Hussain, N Howard, E Cambria
Neurocomputing 261, 217-230, 2017
1762017
Customer churn prediction in the telecommunication sector using a rough set approach
A Amin, S Anwar, A Adnan, M Nawaz, K Alawfi, A Hussain, K Huang
Neurocomputing 237, 242-254, 2017
1732017
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Articles 1–20