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Prof Amir Hussain
Titel
Zitiert von
Zitiert von
Jahr
From Brains to Systems
LS Smith, A Hussain, I Aleksander, A Chella, J Gómez-Ramirez, ...
Springer, 2011
1271*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
10282017
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
6042018
Sentic computing
E Cambria, A Hussain
Cognitive Computation 7 (2), 183-185, 2015
5902015
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
4892016
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
4872016
Agent-based computing from multi-agent systems to agent-based models: a visual survey
M Niazi, A Hussain
Scientometrics 89 (2), 479, 2011
4672011
Group sparse regularization for deep neural networks
S Scardapane, D Comminiello, A Hussain, A Uncini
Neurocomputing 241, 81-89, 2017
3982017
The hourglass of emotions
E Cambria, A Livingstone, A Hussain
Cognitive Behavioural Systems: COST 2102 International Training School …, 2012
3942012
Senticnet: A publicly available semantic resource for opinion mining
E Cambria, R Speer, C Havasi, A Hussain
2010 AAAI fall symposium series, 2010
3922010
Sentic computing: Techniques, tools, and applications
E Cambria, A Hussain
Springer Science & Business Media, 2012
357*2012
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface
D Ünay, Z Çataltepe, S Aksoy
Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2010
349*2010
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
2972012
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
2542019
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
249*2016
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
2472013
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
2412016
A Novel Two-Stage Deep Learning Model for Efficient Network Intrusion Detection
FA Khan, A Gumaei, A Derhab, A Hussain
IEEE Access, 2019
2362019
Towards an intelligent framework for multimodal affective data analysis
S Poria, E Cambria, A Hussain, GB Huang
Neural Networks 63, 104-116, 2015
2232015
Sentic LSTM: a hybrid network for targeted aspect-based sentiment analysis
Y Ma, H Peng, T Khan, E Cambria, A Hussain
Cognitive Computation 10, 639-650, 2018
2182018
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