Publications (11)
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…
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…
Epidemic Modeling using Hybrid of Time-varying SIRD, Particle Swarm Optimization, and Deep Learning
Naresh Kumar, Seba Susan
Epidemiological models are best suitable to model an epidemic if the spread pattern is stationary. To deal with non-stationary patterns and multiple waves of an epidemic, we develo…
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…
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…
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…
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…
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…
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…
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 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…