Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: leveraging unlabelled data for emotion recognition with enhanced collaborative semi - supervised learning .
Enhanced semi-supervised learning for multimodal emotion recognition
Active deep learning method for semi-supervised sentiment classification
Contrasting and Combining Least Squares Based Learners for Emotion Recognition in the Wild
Combining labeled and unlabeled data with co-training
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network
Multiple kernel learning for emotion recognition in the wild
Trustability-Based Dynamic Active Learning for Crowdsourced Labelling of Emotional Audio Data
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data
Augmenting Supervised Emotion Recognition with Rule-Based Decision Model
Enhancing Supervised Learning with Unlabeled Data
End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression
Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition
Learning from labeled and unlabeled data
Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition
Semi-Supervised Text Classification Using EM
Semi-supervised learning using label mean
Semi-Supervised Consensus Labeling for Crowdsourcing
Empowering Imbalanced Data in Supervised Learning: A Semi-supervised Learning Approach
Variolite: Supporting Exploratory Programming by Data Scientists
Pathways of sexual desire.
Checking is Believing: Event-Aware Program Anomaly Detection in Cyber-Physical Systems
Supervised Descent Method and Its Applications to Face Alignment
The Waterfall Model in Large-Scale Development