| 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 | 1561 | 2017 |
| A novel ontology and machine learning driven hybrid cardiovascular clinical prognosis as a complex adaptive clinical system K Farooq, A Hussain Complex Adaptive Systems Modeling 4, 1-21, 2016 | 1282 | 2016 |
| 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 | 894 | 2018 |
| 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 | 679 | 2016 |
| 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 | 602 | 2016 |
| 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 | 560 | 2019 |
| Group sparse regularization for deep neural networks S Scardapane, D Comminiello, A Hussain, A Uncini Neurocomputing 241, 81-89, 2017 | 560 | 2017 |
| Agent-based computing from multi-agent systems to agent-based models: a visual survey M Niazi, A Hussain Scientometrics 89 (2), 479, 2011 | 532 | 2011 |
| The hourglass of emotions E Cambria, A Livingstone, A Hussain Cognitive Behavioural Systems: COST 2102 International Training School …, 2012 | 479 | 2012 |
| Senticnet: A publicly available semantic resource for opinion mining E Cambria, R Speer, C Havasi, A Hussain 2010 AAAI fall symposium series, 2010 | 458 | 2010 |
| Big data and IoT-based applications in smart environments: A systematic review Y Hajjaji, W Boulila, IR Farah, I Romdhani, A Hussain Computer Science Review 39, 100318, 2021 | 392 | 2021 |
| Sentic computing: Techniques, tools, and applications E Cambria, A Hussain Springer Science & Business Media, 2012 | 392 | 2012 |
| A Novel Two-Stage Deep Learning Model for Efficient Network Intrusion Detection FA Khan, A Gumaei, A Derhab, A Hussain IEEE Access, 2019 | 386 | 2019 |
| Deep learning in mining biological data M Mahmud, MS Kaiser, TM McGinnity, A Hussain Cognitive Computation, 1-33, 2021 | 372 | 2021 |
| Interpreting black-box models: a review on explainable artificial intelligence V Hassija, V Chamola, A Mahapatra, A Singal, D Goel, K Huang, ... Cognitive Computation 16 (1), 45-74, 2024 | 345 | 2024 |
| 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 | 341* | 2016 |
| 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 | 340 | 2012 |
| 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 | 335 | 2016 |
| Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions A Gandhi, K Adhvaryu, S Poria, E Cambria, A Hussain Information Fusion 91, 424-444, 2023 | 333 | 2023 |
| 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 | 318 | 2018 |
Erik CambriaProfessor of Computing and Data Science, NTU Singaporentu.edu.sg의 이메일 확인됨
