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20162022
most citedCOVID-19 Pandemic Prediction using Time Series Forecasting Models

107 citations · 315 across the 10 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 6 cited

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…

cs.CV2021

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…

cs.LG2021

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…

cs.LG2021★ 8 cited

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…

cs.CL2021★ 12 cited

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…