Aparna Balagopalan
Aparna Balagopalan
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Visualizations of Deep Neural Networks in Computer Vision: A Survey
C Seifert, A Aamir, A Balagopalan, D Jain, A Sharma, S Grottel, ...
Transparent Data Mining for Big and Small Data, 123-144, 2017
502017
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection
A Balagopalan, B Eyre, F Rudzicz, J Novikova
arXiv preprint arXiv:2008.01551, 2020
192020
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech
A Balagopalan, J Novikova, F Rudzicz, M Ghassemi
arXiv preprint arXiv:1811.12254, 2018
142018
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others
A Balagopalan, K Shkaruta, J Novikova
arXiv preprint arXiv:1904.01684, 2019
32019
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation
A Balagopalan, J Novikova, MBA McDermott, B Nestor, T Naumann, ...
Machine Learning for Health Workshop, 202-219, 2020
22020
Comparing Pre-trained and Feature-based Models for Prediction of Alzheimer’s Disease Based on Speech
A Balagopalan, B Eyre, J Robin, F Rudzicz, J Novikova
Frontiers in Aging Neuroscience 13, 189, 2021
12021
Augmenting BERT Carefully with Underrepresented Linguistic Features
A Balagopalan, J Novikova
arXiv preprint arXiv:2011.06153, 2020
12020
Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach
B Eyre, A Balagopalan, J Novikova
arXiv preprint arXiv:2010.06579, 2020
12020
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power
J Novikova, A Balagopalan, K Shkaruta, F Rudzicz
arXiv preprint arXiv:1910.00065, 2019
12019
ReGAN: RE [LAX| BAR| INFORCE] based Sequence Generation using GANs
A Balagopalan, S Gorti, M Ravaut, R Saqur
arXiv preprint arXiv:1805.02788, 2018
12018
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