107 citations · 315 across the 10 of their papers we have counts for
10 papers
Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines
Anmol Bansal, Arjun Choudhry, Anubhav Sharma +1
Covid-19 has spread across the world and several vaccines have been developed to counter its surge. To identify the correct sentiments associated with the vaccines from social medi…
Emotion-Aware Transformer Encoder for Empathetic Dialogue Generation
Raman Goel, Seba Susan, Sachin Vashisht +1
Modern day conversational agents are trained to emulate the manner in which humans communicate. To emotionally bond with the user, these virtual agents need to be aware of the affe…
Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning
Sunakshi Mehra, Seba Susan
We introduce an unsupervised approach for correcting highly imperfect speech transcriptions based on a decision-level fusion of stemming and two-way phoneme pruning. Transcripts ar…
A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning
Kartik Arora, Ajul Raj, Arun Goel +1
A hybrid model is proposed that integrates two popular image captioning methods to generate a text-based summary describing the contents of the image. The two image captioning mode…
Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme
Anmol Jain, Aishwary Kumar, Seba Susan
Deep Neural Networks (DNNs) are prone to overfitting and hence have high variance. Overfitted networks do not perform well for a new data instance. So instead of using a single DNN…
A Novel Framework for Neural Architecture Search in the Hill Climbing Domain
Mudit Verma, Pradyumna Sinha, Karan Goyal +2
Neural networks have now long been used for solving complex problems of image domain, yet designing the same needs manual expertise. Furthermore, techniques for automatically gener…
Context- and Sequence-Aware Convolutional Recurrent Encoder for Neural Machine Translation
Ritam Mallick, Seba Susan, Vaibhaw Agrawal +2
Neural Machine Translation model is a sequence-to-sequence converter based on neural networks. Existing models use recurrent neural networks to construct both the encoder and decod…
COVID-19 Pandemic Prediction using Time Series Forecasting Models
Naresh Kumar, Seba Susan
Millions of people have been infected and lakhs of people have lost their lives due to the worldwide ongoing novel Coronavirus (COVID-19) pandemic. It is of utmost importance to id…
Speaker Recognition using SincNet and X-Vector Fusion
Mayank Tripathi, Divyanshu Singh, Seba Susan
In this paper, we propose an innovative approach to perform speaker recognition by fusing two recently introduced deep neural networks (DNNs) namely - SincNet and X-Vector. The ide…
A non-extensive entropy feature and its application to texture classification
Seba Susan, Madasu Hanmandlu
This paper proposes a new probabilistic non-extensive entropy feature for texture characterization, based on a Gaussian information measure. The highlights of the new entropy are t…