End-to-end Hierarchical Approach for Emotion Detection in short texts
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias
Exploring Rawlsian Fairness for K-Means Clustering
Hybrid Explainable Educational Recommender using Self Attention and Knowledge Based Systems for E-Learning in MOOC Platforms
An Improved Recommendation System with Aspect-Based Sentiment Analysis
Exploring Biomarker Identification and Mortality Prediction of COVID-19 Patients using ML Algorithms
COVID-19 cases prediction based on LSTM and SIR model using social media
Joint Geometrical and Statistical Alignment using Triplet loss for Deep Domain Adaptation
Virtual Try-On Using Style Transfer
Attention Mechanism in Convolutional Recurrent Neural Network for Improving Recognition Accuracy in Printed Devanagari Text.