Emotion Analysis of COVID-19 Vaccines Based on a Fuzzy Convolutional Neural Network [0.03%]
基于模糊卷积神经网络的COVID-19疫苗情感分析
Dong Qiu,Yang Yu,Lei Chen
Dong Qiu
COVID-19 created immense global challenges in 2020, and the world will live under its threat indefinitely. Much of the information on social media supported the government in addressing this major public health event. On January 9, to contr...
Exploring Dimensionality Reduction Techniques in Multilingual Transformers [0.03%]
探索多语言Transformer中的降维技术
Álvaro Huertas-García,Alejandro Martín,Javier Huertas-Tato et al.
Álvaro Huertas-García et al.
In scientific literature and industry, semantic and context-aware Natural Language Processing-based solutions have been gaining importance in recent years. The possibilities and performance shown by these models when dealing with complex Hu...
Particle Swarm Optimization-Based Extreme Learning Machine for COVID-19 Detection [0.03%]
基于粒子群优化的极端学习机在COVID-19检测中的应用
Musatafa Abbas Abbood Albadr,Sabrina Tiun,Masri Ayob et al.
Musatafa Abbas Abbood Albadr et al.
COVID-19 (coronavirus disease 2019) is an ongoing global pandemic caused by severe acute respiratory syndrome coronavirus 2. Recently, it has been demonstrated that the voice data of the respiratory system (i.e., speech, sneezing, coughing,...
An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features [0.03%]
基于脑节律序列和不对称特性的一种情感识别方法
Jia Wen Li,Rong Jun Chen,Shovan Barma et al.
Jia Wen Li et al.
Emotion can be influenced during self-isolation, and to avoid severe mood swings, emotional regulation is meaningful. To achieve this, efficiently recognizing emotion is a vital step, which can be realized by electroencephalography signals....
A Mixed Approach for Aggressive Political Discourse Analysis on Twitter [0.03%]
混合方法分析twitter上的政治攻击言论
Javier Torregrosa,Sergio DAntonio-Maceiras,Guillermo Villar-Rodríguez et al.
Javier Torregrosa et al.
Political tensions have grown throughout Europe since the beginning of the new century. The consecutive crises led to the rise of different social movements in several countries, in which the political status quo changed. These changes incl...
Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications [0.03%]
深度学习在临床和医疗应用中的进展特邀评论文章
Cosimo Ieracitano,Francesco Carlo Morabito,Stefano Squartini et al.
Cosimo Ieracitano et al.
Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication [0.03%]
COVID-19期间Twitter上情绪和态度的变化分析
Veda C Storey,Daniel E OLeary
Veda C Storey
Scientists and regular citizens alike search for ways to manage the widespread effects of the COVID-19 pandemic. While scientists are busy in their labs, other citizens often turn to online sources to report their experiences and concerns a...
WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications [0.03%]
基于多模医学图像融合的电生理健康应用水印技术(WatMIF)
Kedar Nath Singh,Om Prakash Singh,Amit Kumar Singh et al.
Kedar Nath Singh et al.
Over recent years, the volume of big data has drastically increased for medical applications. Such data are shared by cloud providers for storage and further processing. Medical images contain sensitive information, and these images are sha...
Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels [0.03%]
通过众包软目标标签训练情感计算机视觉模型
Peter Washington,Haik Kalantarian,Jack Kent et al.
Peter Washington et al.
Background/introduction: Emotion detection classifiers traditionally predict discrete emotions. However, emotion expressions are often subjective, thus requiring a method to handle compound and ambiguous labels. We explor...
1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy [0.03%]
基于翻转学习的教学法中学生认知投入分析的一种新颖的特征提取方法
Rabi Shaw,Chinmay Mohanty,Bidyut Kr Patra et al.
Rabi Shaw et al.
Flipped learning is a blended learning method based on academic engagement of students online (outside class) and offline (inside class). In this learning pedagogy, students receive lesson any time from lecture videos pre-loaded on digital ...