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2020 – today
- 2022
[j148]Tahani H. Alwaneen, Aqil M. Azmi
, Hatim A. Aboalsamh, Erik Cambria, Amir Hussain:
Arabic question answering system: a survey. Artif. Intell. Rev. 55(1): 207-253 (2022)- [j147]Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, Huansheng Ning, Erik Cambria:
A survey on personality-aware recommendation systems. Artif. Intell. Rev. 55(3): 2409-2454 (2022) - [j146]Lorenzo Malandri, Carlos Porcel, Frank Xing, Jesús Serrano-Guerrero, Erik Cambria:
Soft computing for recommender systems and sentiment analysis. Appl. Soft Comput. 118: 108246 (2022) - [j145]Erik Cambria, Amir Hussain:
Guest Editorial: A Decade of Sentic Computing. Cogn. Comput. 14(1): 1-4 (2022) - [j144]Yosephine Susanto, Erik Cambria, Ng Bee Chin, Amir Hussain:
Ten Years of Sentic Computing. Cogn. Comput. 14(1): 5-23 (2022) - [j143]Vibeke Sørensen, J. Stephen Lansing, Nagaraju Thummanapalli, Erik Cambria:
Mood of the Planet: Challenging Visions of Big Data in the Arts. Cogn. Comput. 14(1): 310-321 (2022) - [j142]Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria:
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis. Neurocomputing 467: 73-82 (2022) - [j141]Bin Liang, Hang Su, Lin Gui, Erik Cambria, Ruifeng Xu:
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks. Knowl. Based Syst. 235: 107643 (2022) - [j140]Erik Cambria, Akshi Kumar, Mahmoud Al-Ayyoub, Newton Howard:
Guest Editorial: Explainable artificial intelligence for sentiment analysis. Knowl. Based Syst. 238: 107920 (2022) - [j139]Abhinaba Roy, Erik Cambria:
Soft labeling constraint for generalizing from sentiments in single domain. Knowl. Based Syst. 245: 108346 (2022) - [j138]Iti Chaturvedi, Qian Chen, Erik Cambria, Desmond McConnell:
Landmark calibration for facial expressions and fish classification. Signal Image Video Process. 16(2): 377-384 (2022) - [j137]Ke Zhang, Yuanqing Li, Jingyu Wang, Erik Cambria, Xuelong Li:
Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1034-1047 (2022) - [j136]Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications. IEEE Trans. Neural Networks Learn. Syst. 33(2): 494-514 (2022) - [c144]Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. ACL (1) 2022: 2251-2262 - [i63]Ranjan Satapathy, Shweta Pardeshi, Erik Cambria:
Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding. CoRR abs/2201.05363 (2022) - [i62]Yang Li, Quan Pan, Erik Cambria:
Deep-Attack over the Deep Reinforcement Learning. CoRR abs/2205.00807 (2022) - [i61]Alice Baird, Panagiotis Tzirakis, Gauthier Gidel, Marco Jiralerspong, Eilif B. Muller, Kory W. Mathewson, Björn Schuller, Erik Cambria, Dacher Keltner, Alan Cowen:
The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts. CoRR abs/2205.01780 (2022) - 2021
- [j135]Yong Shi, Wei Li, Luyao Zhu, Kun Guo, Erik Cambria:
Stock trading rule discovery with double deep Q-network. Appl. Soft Comput. 107: 107320 (2021) - [j134]Ashok Kumar J, Tina Esther Trueman, Erik Cambria:
A Convolutional Stacked Bidirectional LSTM with a Multiplicative Attention Mechanism for Aspect Category and Sentiment Detection. Cogn. Comput. 13(6): 1423-1432 (2021) - [j133]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning-based Text Classification: A Comprehensive Review. ACM Comput. Surv. 54(3): 62:1-62:40 (2021) - [j132]Qingnan Jiang, Lei Chen, Wei Zhao, Min Yang, Erik Cambria:
Toward Aspect-Level Sentiment Modification Without Parallel Data. IEEE Intell. Syst. 36(1): 75-81 (2021) - [j131]Lukas Stappen, Alice Baird, Erik Cambria, Björn W. Schuller:
Sentiment Analysis and Topic Recognition in Video Transcriptions. IEEE Intell. Syst. 36(2): 88-95 (2021) - [j130]Wei Peng, Xiaopeng Hong, Guoying Zhao, Erik Cambria:
Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis. IEEE Intell. Syst. 36(3): 82-89 (2021) - [j129]Mike Thelwall, Erik Cambria:
This! Identifying New Sentiment Slang Through Orthographic Pleonasm Online: Yasss Slay Gorg Queen Ilysm. IEEE Intell. Syst. 36(4): 114-120 (2021) - [j128]Raymond Chiong, Gregorious Satia Budhi, Sandeep Dhakal, Erik Cambria:
Combining Sentiment Lexicons and Content-Based Features for Depression Detection. IEEE Intell. Syst. 36(6): 99-105 (2021) - [j127]Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Erik Cambria, U. Rajendra Acharya:
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis. Future Gener. Comput. Syst. 115: 279-294 (2021) - [j126]Ashok Kumar J, S. Abiramy, Tina Esther Trueman, Erik Cambria:
Comment toxicity detection via a multichannel convolutional bidirectional gated recurrent unit. Neurocomputing 441: 272-278 (2021) - [j125]Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain:
A novel context-aware multimodal framework for persian sentiment analysis. Neurocomputing 457: 377-388 (2021) - [j124]Erik Cambria, Shaoxiong Ji, Shirui Pan, Philip S. Yu:
Knowledge graph representation and reasoning. Neurocomputing 461: 494-496 (2021) - [j123]Iti Chaturvedi, Kishor Thapa, Sandro Cavallari, Erik Cambria, Roy E. Welsch:
Predicting video engagement using heterogeneous DeepWalk. Neurocomputing 465: 228-237 (2021) - [j122]Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria:
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning. Inf. Fusion 70: 88-99 (2021) - [j121]Amir Hussain, Erik Cambria, Soujanya Poria, Ahmad Y. A. Hawalah, Francisco Herrera:
Information fusion for affective computing and sentiment analysis. Inf. Fusion 71: 97-98 (2021) - [j120]Wei Li, Luyao Zhu, Erik Cambria:
Taylor's theorem: A new perspective for neural tensor networks. Knowl. Based Syst. 228: 107258 (2021) - [j119]Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger:
Graph routing between capsules. Neural Networks 143: 345-354 (2021) - [j118]Qian Chen, Iti Chaturvedi, Shaoxiong Ji, Erik Cambria:
Sequential fusion of facial appearance and dynamics for depression recognition. Pattern Recognit. Lett. 150: 115-121 (2021) - [j117]Vlad Pandelea, Edoardo Ragusa, Tommaso Apicella, Paolo Gastaldo, Erik Cambria:
Emotion Recognition on Edge Devices: Training and Deployment. Sensors 21(13): 4496 (2021) - [j116]Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang:
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Trans. Comput. Soc. Syst. 8(1): 214-226 (2021) - [j115]Francesco Piccialli, Nik Bessis, Erik Cambria:
Guest Editorial: Industrial Internet of Things: Where Are We and What Is Next? IEEE Trans. Ind. Informatics 17(11): 7700-7703 (2021) - [c143]Snehameena Arumugam, Likai Peng, Jin-Cheon Na, Guangze Lin, Roopika Ganesh, Xiaoyin Li, Qing Chen, Shirley S. Ho, Erik Cambria:
A Prototype System for Monitoring Emotion and Sentiment Trends Towards Nuclear Energy on Twitter Using Deep Learning. ICADL 2021: 471-479 - [c142]Dazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu, Lin Zheng, Erik Cambria:
A Multitask Learning Framework for Multimodal Sentiment Analysis. ICDM (Workshops) 2021: 151-157 - [c141]Amirmohammad Kazemeini, Sudipta Singha Roy, Robert E. Mercer, Erik Cambria:
Interpretable Representation Learning for Personality Detection. ICDM (Workshops) 2021: 158-165 - [c140]Ashok Kumar J, Erik Cambria, Tina Esther Trueman:
DUSE: A New Benchmark Dataset for Drug User Sentiment Extraction. ICDM (Workshops) 2021: 174-178 - [c139]Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Meßner, Erik Cambria, Guoying Zhao, Björn W. Schuller:
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress. MuSe @ ACM Multimedia 2021: 5-14 - [c138]Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller:
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox. MuSe @ ACM Multimedia 2021: 75-82 - [c137]Lukas Stappen, Eva-Maria Meßner, Erik Cambria, Guoying Zhao, Björn W. Schuller:
MuSe 2021 Challenge: Multimodal Emotion, Sentiment, Physiological-Emotion, and Stress Detection. ACM Multimedia 2021: 5706-5707 - [c136]Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multitask Recalibrated Aggregation Network for Medical Code Prediction. ECML/PKDD (4) 2021: 367-383 - [c135]Ashok Kumar J, Erik Cambria, Tina Esther Trueman:
Transformer-Based Bidirectional Encoder Representations for Emotion Detection from Text. SSCI 2021: 1-6 - [e11]Björn W. Schuller, Lukas Stappen, Eva-Maria Meßner, Erik Cambria, Guoying Zhao:
MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, Virtual Event, China, 24 October 2021. ACM 2021, ISBN 978-1-4503-8678-4 [contents] - [i60]Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria:
A Survey on Deep Reinforcement Learning for Audio-Based Applications. CoRR abs/2101.00240 (2021) - [i59]Yang Li, Amirmohammad Kazameini, Yash Mehta, Erik Cambria:
Multitask Learning for Emotion and Personality Detection. CoRR abs/2101.02346 (2021) - [i58]Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, Huansheng Ning, Erik Cambria:
A Survey on Personality-Aware Recommendation Systems. CoRR abs/2101.12153 (2021) - [i57]Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain:
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis. CoRR abs/2103.02636 (2021) - [i56]Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multitask Recalibrated Aggregation Network for Medical Code Prediction. CoRR abs/2104.00952 (2021) - [i55]Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Messner, Erik Cambria, Guoying Zhao, Björn W. Schuller:
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress. CoRR abs/2104.07123 (2021) - [i54]Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Erik Cambria:
BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter. CoRR abs/2105.01331 (2021) - [i53]Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria:
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey. CoRR abs/2105.04387 (2021) - [i52]Ng Bee Chin, Yosephine Susanto, Erik Cambria:
MICE: A Crosslinguistic Emotion Corpus in Malay, Indonesian, Chinese and English. CoRR abs/2106.04831 (2021) - [i51]Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger:
Graph Routing between Capsules. CoRR abs/2106.11531 (2021) - [i50]Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller:
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox. CoRR abs/2107.11757 (2021) - [i49]Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. CoRR abs/2108.13655 (2021) - [i48]Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multi-task Balanced and Recalibrated Network for Medical Code Prediction. CoRR abs/2109.02418 (2021) - [i47]Tom Young, Frank Z. Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria:
Fusing task-oriented and open-domain dialogues in conversational agents. CoRR abs/2109.04137 (2021) - [i46]Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria:
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. CoRR abs/2110.15621 (2021) - 2020
- [j114]Yash Mehta, Navonil Majumder, Alexander F. Gelbukh, Erik Cambria:
Recent trends in deep learning based personality detection. Artif. Intell. Rev. 53(4): 2313-2339 (2020) - [j113]Wei Li, Luyao Zhu, Yong Shi, Kun Guo, Erik Cambria:
User reviews: Sentiment analysis using lexicon integrated two-channel CNN-LSTM family models. Appl. Soft Comput. 94: 106435 (2020) - [j112]Aparup Khatua, Apalak Khatua, Erik Cambria:
Predicting political sentiments of voters from Twitter in multi-party contexts. Appl. Soft Comput. 97(Part): 106743 (2020) - [j111]Md. Shad Akhtar, Asif Ekbal, Erik Cambria:
How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]. IEEE Comput. Intell. Mag. 15(1): 64-75 (2020) - [j110]Cecilio Angulo, Zoe Falomir, Davide Anguita, Núria Agell, Erik Cambria:
Bridging Cognitive Models and Recommender Systems. Cogn. Comput. 12(2): 426-427 (2020) - [j109]Ranjan Satapathy, Erik Cambria, Andrea Nanetti, Amir Hussain:
A Review of Shorthand Systems: From Brachygraphy to Microtext and Beyond. Cogn. Comput. 12(4): 778-792 (2020) - [j108]Xiaoshi Zhong, Erik Cambria, Amir Hussain:
Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes. Cogn. Comput. 12(4): 844-862 (2020) - [j107]Jetze Schuurmans, Flavius Frasincar, Erik Cambria:
Intent Classification for Dialogue Utterances. IEEE Intell. Syst. 35(1): 82-88 (2020) - [j106]Jian-Wu Bi, Yang Liu, Zhi-Ping Fan, Erik Cambria:
Crowd Intelligence: Conducting Asymmetric Impact-Performance Analysis Based on Online Reviews. IEEE Intell. Syst. 35(2): 92-98 (2020) - [j105]Jiachen Du, Lin Gui, Ruifeng Xu, Yunqing Xia, Xuan Wang, Erik Cambria:
Commonsense Knowledge Enhanced Memory Network for Stance Classification. IEEE Intell. Syst. 35(4): 102-109 (2020) - [j104]Yosephine Susanto, Andrew G. Livingstone, Ng Bee Chin, Erik Cambria:
The Hourglass Model Revisited. IEEE Intell. Syst. 35(5): 96-102 (2020) - [j103]Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida, Habib Ounelli:
A review of sentiment analysis research in Arabic language. Future Gener. Comput. Syst. 112: 408-430 (2020) - [j102]Tom Young, Vlad Pandelea, Soujanya Poria, Erik Cambria:
Dialogue systems with audio context. Neurocomputing 388: 102-109 (2020) - [j101]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Balancing computational complexity and generalization ability: A novel design for ELM. Neurocomputing 401: 405-417 (2020) - [j100]Yang Li, Suhang Wang, Yukun Ma, Quan Pan, Erik Cambria:
Popularity prediction on vacation rental websites. Neurocomputing 412: 372-380 (2020) - [j99]Zhaoxia Wang, Seng-Beng Ho, Erik Cambria:
Multi-Level Fine-Scaled Sentiment Sensing with Ambivalence Handling. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28(4): 683-697 (2020) - [j98]Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu:
Anaphora and coreference resolution: A review. Inf. Fusion 59: 139-162 (2020) - [j97]David Camacho, Ángel Panizo-LLedot, Gema Bello Orgaz, Antonio González-Pardo, Erik Cambria:
The four dimensions of social network analysis: An overview of research methods, applications, and software tools. Inf. Fusion 63: 88-120 (2020) - [j96]Yukun Ma, Khanh Linh Nguyen, Frank Z. Xing, Erik Cambria:
A survey on empathetic dialogue systems. Inf. Fusion 64: 50-70 (2020) - [j95]Frank Z. Xing, Soujanya Poria, Erik Cambria, Roy E. Welsch:
Social Media Marketing and Financial Forecasting. Inf. Process. Manag. 57(5): 102314 (2020) - [j94]Ana Valdivia, Eugenio Martínez-Cámara, Iti Chaturvedi, M. Victoria Luzón, Erik Cambria, Yew-Soon Ong, Francisco Herrera:
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. J. Ambient Intell. Humaniz. Comput. 11(1): 39-52 (2020) - [j93]Zhaoxia Wang, Seng-Beng Ho, Erik Cambria:
A review of emotion sensing: categorization models and algorithms. Multim. Tools Appl. 79(47): 35553-35582 (2020) - [j92]Haotian Xu, Haiyun Peng, Haoran Xie, Erik Cambria, Liuyang Zhou, Weiguo Zheng:
End-to-End latent-variable task-oriented dialogue system with exact log-likelihood optimization. World Wide Web 23(3): 1989-2002 (2020) - [c134]Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text. ClinicalNLP@EMNLP 2020: 73-78 - [c133]Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Roy E. Welsch:
Genetic Programming for Domain Adaptation in Product Reviews. CEC 2020: 1-8 - [c132]Erik Cambria, Yang Li, Frank Z. Xing, Soujanya Poria, Kenneth Kwok:
SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis. CIKM 2020: 105-114 - [c131]Frank Z. Xing, Lorenzo Malandri, Yue Zhang, Erik Cambria:
Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets. COLING 2020: 978-987 - [c130]Jonathan Kevin Chandra, Erik Cambria, Andrea Nanetti:
One Belt, One Road, One Sentiment? A Hybrid Approach to Gauging Public Opinions on the New Silk Road Initiative. ICDM (Workshops) 2020: 7-14 - [c129]Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria:
COAL: Convolutional Online Adaptation Learning for Opinion Mining. ICDM (Workshops) 2020: 15-22 - [c128]Yash Mehta, Samin Fatehi, Amirmohammad Kazameini, Clemens Stachl, Erik Cambria, Sauleh Eetemadi:
Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features. ICDM 2020: 1184-1189 - [c127]Claudia Guerreiro, Erik Cambria, Hien T. Nguyen:
New Avenues in Mobile Tourism. IJCNN 2020: 1-8 - [c126]Aparup Khatua, Erik Cambria, Shirley S. Ho, Jin-Cheon Na:
Deciphering Public Opinion of Nuclear Energy on Twitter. IJCNN 2020: 1-8 - [c125]Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris:
MuSe 2020 Challenge and Workshop: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media: Emotional Car Reviews in-the-wild. MuSe @ ACM Multimedia 2020: 35-44 - [c124]Lukas Stappen, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris:
Summary of MuSe 2020: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media. ACM Multimedia 2020: 4769-4770 - [c123]Ali Fadel, Mahmoud Al-Ayyoub, Erik Cambria:
JUSTers at SemEval-2020 Task 4: Evaluating Transformer Models against Commonsense Validation and Explanation. SemEval@COLING 2020: 535-542 - [e10]Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris, Lukas Stappen:
MuSe'20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, Seattle, WA, USA, October 16, 2020. ACM 2020, ISBN 978-1-4503-8157-4 [contents] - [i45]Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:
A Survey on Knowledge Graphs: Representation, Acquisition and Applications. CoRR abs/2002.00388 (2020) - [i44]David Camacho, Ángel Panizo-LLedot, Gema Bello Orgaz, Antonio González-Pardo, Erik Cambria:
The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools. CoRR abs/2002.09485 (2020) - [i43]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning Based Text Classification: A Comprehensive Review. CoRR abs/2004.03705 (2020) - [i42]Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria:
Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks. CoRR abs/2004.07601 (2020) - [i41]Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris:
MuSe 2020 - The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop. CoRR abs/2004.14858 (2020) - [i40]Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida, Habib Ounelli:
A review of sentiment analysis research in Arabic language. CoRR abs/2005.12240 (2020) - [i39]Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria:
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis. CoRR abs/2006.00492 (2020) - [i38]Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text. CoRR abs/2009.14578 (2020) - [i37]Amirmohammad Kazameini, Samin Fatehi, Yash Mehta, Sauleh Eetemadi, Erik Cambria:
Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles. CoRR abs/2010.01309 (2020) - [i36]Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Improving Zero Shot Learning Baselines with Commonsense Knowledge. CoRR abs/2012.06236 (2020)
2010 – 2019
- 2019
- [j91]Erik Cambria, Soujanya Poria, Amir Hussain, Bing Liu:
Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. 14(2): 16-17 (2019) - [j90]Sandro Cavallari, Erik Cambria, Hongyun Cai, Kevin Chen-Chuan Chang, Vincent W. Zheng:
Embedding Both Finite and Infinite Communities on Graphs [Application Notes]. IEEE Comput. Intell. Mag. 14(3): 39-50 (2019) - [j89]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Learning with Similarity Functions: a Tensor-Based Framework. Cogn. Comput. 11(1): 31-49 (2019) - [j88]Andrea Picasso Ratto, Simone Merello, Yukun Ma, Luca Oneto, Erik Cambria:
Technical analysis and sentiment embeddings for market trend prediction. Expert Syst. Appl. 135: 60-70 (2019) - [j87]