Prof Amir Hussain
Prof Amir Hussain
Professor of Computing Science, Edinburgh Napier University, Scotland, UK
Verified email at napier.ac.uk - Homepage
TitleCited byYear
From Brains to Systems
LS Smith, A Hussain, I Aleksander, A Chella, J Gˇmez-Ramirez, ...
Springer, 2011
779*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
3322017
Agent-based computing from multi-agent systems to agent-based models: a visual survey
M Niazi, A Hussain
Scientometrics 89 (2), 479, 2011
3192011
Sentic computing: Techniques, tools, and applications
E Cambria, A Hussain
Springer Science & Business Media, 2012
297*2012
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
2692016
Senticnet: A publicly available semantic resource for opinion mining
E Cambria, R Speer, C Havasi, A Hussain
2010 AAAI Fall Symposium Series, 2010
2432010
The hourglass of emotions
E Cambria, A Livingstone, A Hussain
Cognitive behavioural systems, 144-157, 2012
2112012
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
1932012
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
1862016
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
1762013
Sentic computing
E Cambria, A Hussain
Cognitive Computation 7 (2), 183-185, 2015
1642015
Group sparse regularization for deep neural networks
S Scardapane, D Comminiello, A Hussain, A Uncini
Neurocomputing 241, 81-89, 2017
1432017
Agent-based tools for modeling and simulation of self-organization in peer-to-peer, ad hoc, and other complex networks
M Niazi, A Hussain
IEEE Communications Magazine 47 (3), 166-173, 2009
1372009
Towards an intelligent framework for multimodal affective data analysis
S Poria, E Cambria, A Hussain, GB Huang
Neural Networks 63, 104-116, 2015
1322015
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
1272014
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
1222018
Knowledge-based approaches to concept-level sentiment analysis
E Cambria, B Schuller, B Liu, H Wang, C Havasi
IEEE intelligent systems 28 (2), 12-14, 2013
1192013
Sentiment data flow analysis by means of dynamic linguistic patterns
S Poria, E Cambria, A Gelbukh, F Bisio, A Hussain
IEEE Computational Intelligence Magazine 10 (4), 26-36, 2015
1142015
Concept-level sentiment analysis with dependency-based semantic parsing: a novel approach
B Agarwal, S Poria, N Mittal, A Gelbukh, A Hussain
Cognitive Computation 7 (4), 487-499, 2015
1082015
Sentic computing for social media marketing
E Cambria, M Grassi, A Hussain, C Havasi
Multimedia tools and applications 59 (2), 557-577, 2012
952012
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