Showing results 46 to 58 of 58
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| Issue Date | Title | Author(s) |
 | 2022 | Saving earth one tweet at a time through the lens of artificial intelligence | Duong, Cuc; Liu, Qian; Mao, Rui; Cambria, Erik |
| | 2023 | Semantic matching in machine reading comprehension: an empirical study | Liu, Qian; Mao, Rui; Geng, Xiubo; Cambria, Erik |
| 2014 | Sentic API: A common-sense based API for concept-level sentiment analysis | Cambria, Erik; Poria, Soujanya; Gelbukh, Alexander; Kwok, Kenneth |
| | 2018 | Sentic LSTM : a hybrid network for targeted aspect-based sentiment analysis | Ma, Yukun; Peng, Haiyun; Khan, Tahir; Cambria, Erik; Hussain, Amir |
| | 2019 | Sentiment-aware volatility forecasting | Xing, Frank Z.; Cambria, Erik; Zhang, Yue |
| | 2021 | Sequential fusion of facial appearance and dynamics for depression recognition | Chen, Qian; Chaturvedi, Iti; Ji, Shaoxiong; Cambria, Erik |
| | 2022 | Soft labeling constraint for generalizing from sentiments in single domain | Roy, Abhinaba; Cambria, Erik |
| | 2022 | Suicidal ideation and mental disorder detection with attentive relation networks | Ji, Shaoxiong; Li, Xue; Huang, Zi; Cambria, Erik |
| 2019 | A survey on deep learning in image polarity detection : balancing generalization performances and computational costs | Ragusa, Edoardo; Cambria, Erik; Zunino, Rodolfo; Gastaldo, Paolo |
| | 2020 | A survey on empathetic dialogue systems | Ma, Yukun; Nguyen, Khanh Linh; Xing, Frank Z.; Cambria, Erik |
| | 2021 | Taylor's theorem: a new perspective for neural tensor networks | Li, Wei; Zhu, Luyao; Cambria, Erik |
| 2017 | Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups | Sanli, Ceyda; Mondal, Anupam; Cambria, Erik |
| | 2020 | What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules | Valdivia, A.; Martínez-Cámara, E.; Chaturvedi, Iti; Luzón, M. V.; Cambria, Erik; Ong, Yew-Soon; Herrera, F. |
