Erik Cambria

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Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerified email at tum.de
Rui MaoNanyang Technological UniversityVerified email at ntu.edu.sg
Catherine HavasiMIT Media LabVerified email at media.mit.edu
Shaoxiong JiUniversity of HelsinkiVerified email at helsinki.fi
Yang LIAssociate Professor, Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Yunqing XiaMicrosoftVerified email at microsoft.com
Newton HowardProfessor of Computational Neuroscience and Functional Neurosurgery, University of OxfordVerified email at nds.ox.ac.uk
Louis-Philippe MorencyAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Tom YoungResearch Fellow, National University of SingaporeVerified email at nus.edu.sg
Kenneth KwokInstitute of High Performance ComputingVerified email at ihpc.a-star.edu.sg
Paolo GastaldoAssociate Professor, University of GenoaVerified email at unige.it
Dr. Ranjan SatapathyA*STAR, SingaporeVerified email at ihpc.a-star.edu.sg
Rodolfo ZuninoProfessor of Electronics, Genoa UniversityVerified email at unige.it
Guang-Bin HuangFull Professor, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
Rada MihalceaProfessor of Computer Science, University of MichiganVerified email at umich.edu
Luca OnetoDIBRIS - University of GenoaVerified email at unige.it
Roger ZimmermannProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Vlad PandeleaPhD student, Nanyang Technological UniversityVerified email at ntu.edu.sg
Xiaoshi ZhongAssistant Professor at Beijing Institute of Technology, ChinaVerified email at bit.edu.cn
He KaiNational University of Singapore | Xi'an Jiaotong UniversityVerified email at nus.edu.sg

Erik Cambria

Professor of Computer Science & Engineering, NTU Singapore

Verified email at ntu.edu.sg - Homepage

affective computing sentiment analysis multimodal interaction commonsense reasoning sentic computing


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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	3670	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	1912	2022
Affective Computing and Sentiment Analysis E Cambria IEEE Intelligent Systems 31 (2), 102-107, 2016	1667	2016
New Avenues in Opinion Mining and Sentiment Analysis E Cambria, B Schuller, Y Xia, C Havasi IEEE Intelligent Systems 28 (2), 15-21, 2013	1580	2013
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	1458	2021
Jumping NLP Curves: A Review of Natural Language Processing Research E Cambria, B White IEEE Computational Intelligence Magazine 9 (2), 48-57, 2014	1433	2014
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	1342	2017
Tensor Fusion Network for Multimodal Sentiment Analysis A Zadeh, M Chen, S Poria, E Cambria, LP Morency Proceedings of EMNLP, 1114-1125, 2017	1301	2017
Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network S Poria, E Cambria, A Gelbukh Knowledge-Based Systems 108, 42-49, 2016	956	2016
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	937	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	904	2019
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	807	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	690	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	658	2018
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	651	2018
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis S Poria, I Chaturvedi, E Cambria, A Hussain Proceedings of ICDM, 439-448, 2016	629	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	603	2017
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	602	2021
SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis E Cambria, D Olsher, D Rajagopal Proceedings of AAAI, 1515-1521, 2014	575	2014
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	571	2015

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