Erik Cambria

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Rui MaoNanyang Technological UniversityVerified email at ntu.edu.sg
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerified email at tum.de
Yang LIAssociate Professor, Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Louis-Philippe MorencyAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yunqing XiaMicrosoftVerified email at microsoft.com
Newton HowardProfessor of Computational Neuroscience and Functional Neurosurgery, University of OxfordVerified email at nds.ox.ac.uk
Rada MihalceaProfessor of Computer Science, University of MichiganVerified email at umich.edu
Roger ZimmermannProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Luca OnetoDIBRIS - University of GenoaVerified email at unige.it
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith UniversityVerified email at griffith.edu.au
Haixun WangVP of Engineering, Algorithm & Distinguished Scientist at InstacartVerified email at instacart.com
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Tao YangProfessor of Computer Science, University of California at Santa BarbaraVerified email at cs.ucsb.edu
Mike ThelwallInformation School, The University of SheffieldVerified email at sheffield.ac.uk
Rui XiaNanjing University of Science and TechnologyVerified email at njust.edu.cn
Nal KalchbrennerGoogle DeepMindVerified email at google.com
Bin Liang (梁斌)The Chinese University of Hong KongVerified email at cuhk.edu.hk
Guoying ZhaoAcademy Professor, IEEE Fellow, Professor of Computer Science and Engineering, University of OuluVerified email at oulu.fi
Kelvin DuNanyang Technological UniversityVerified email at e.ntu.edu.sg

Erik Cambria

Professor of Computing and Data Science, NTU Singapore

Verified email at ntu.edu.sg - Homepage

Neurosymbolic AI Multimodal Interaction NLU Affective Computing Sentiment Analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Recent Trends in Deep Learning Based Natural Language Processing T Young, D Hazarika, S Poria, E Cambria IEEE Computational Intelligence Magazine 13 (3), 55-75, 2018	3961	2018
A Survey on Knowledge Graphs: Representation, Acquisition and Applications S Ji, S Pan, E Cambria, P Marttinen, PS Yu IEEE Transactions on Neural Networks and Learning Systems 33 (2), 494-514, 2022	2328	2022
Affective Computing and Sentiment Analysis E Cambria IEEE Intelligent Systems 31 (2), 102-107, 2016	1766	2016
Deep Learning based Text Classification: A Comprehensive Review S Minaee, N Kalchbrenner, E Cambria, N Nikzad, M Chenaghlu, J Gao ACM Computing Surveys 54 (3), Article 62, 2021	1712	2021
New Avenues in Opinion Mining and Sentiment Analysis E Cambria, B Schuller, Y Xia, C Havasi IEEE Intelligent Systems 28 (2), 15-21, 2013	1639	2013
Jumping NLP Curves: A Review of Natural Language Processing Research E Cambria, B White IEEE Computational Intelligence Magazine 9 (2), 48-57, 2014	1578	2014
Tensor Fusion Network for Multimodal Sentiment Analysis A Zadeh, M Chen, S Poria, E Cambria, LP Morency Proceedings of EMNLP, 1114-1125, 2017	1524	2017
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	1500	2017
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph A Zadeh, PP Liang, S Poria, E Cambria, LP Morency Proceedings of ACL, 2236-2246, 2018	1160	2018
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations S Poria, D Hazarika, N Majumder, G Naik, E Cambria, R Mihalcea Proceedings of ACL, 527-536, 2019	1144	2019
Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network S Poria, E Cambria, A Gelbukh Knowledge-Based Systems 108, 42-49, 2016	999	2016
Context-Dependent Sentiment Analysis in User-Generated Videos S Poria, E Cambria, D Hazarika, N Majumder, A Zadeh, LP Morency Proceedings of ACL, 873-883, 2017	889	2017
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations N Majumder, S Poria, D Hazarika, R Mihalcea, A Gelbukh, E Cambria Proceedings of AAAI, 6818-6825, 2019	782	2019
Memory Fusion Network for Multi-View Sequential Learning A Zadeh, PP Liang, N Majumder, S Poria, E Cambria, LP Morency Proceedings of AAAI, 5634-5641, 2018	762	2018
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for Sentiment Analysis ME Basiri, S Nemati, M Abdar, E Cambria, UR Acharya Future Generation Computer Systems 115, 279-294, 2021	704	2021
Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM Y Ma, H Peng, E Cambria Proceedings of AAAI, 5876-5883, 2018	686	2018
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis S Poria, I Chaturvedi, E Cambria, A Hussain Proceedings of ICDM, 439-448, 2016	673	2016
Deep Learning-Based Document Modeling for Personality Detection from Text N Majumder, S Poria, A Gelbukh, E Cambria IEEE Intelligent Systems 32 (2), 74-79, 2017	658	2017
Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-Level Multimodal Sentiment Analysis S Poria, E Cambria, A Gelbukh Proceedings of EMNLP, 2539-2544, 2015	604	2015
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	592	2016

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