Prashant Krishnan
4 papers · 2020–2024 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
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Hot Topic Early Bird
Venues
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Research topics
Keywords
covid-19 diagnosis
(2)
audio classification
(2)
speaker verification
(1)
likelihood ratio
(1)
end-to-end learning
(1)
entity recognition
(1)
affine transformation
(1)
acoustic analysis
(1)
probabilistic linear discriminant analysis
(1)
crowdsourced data
(1)
cough sound
(1)
respiratory sound
(1)
graph neural network
(1)
neural network
(1)
document image
(1)
layout information
(1)
point-of-care diagnosis
(1)
breath sound
(1)
few-shot learning
(1)
sound recording
(1)
Papers
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation
COLING 2024
DiCOVA Challenge: Dataset, Task, and Baseline System for COVID-19 Diagnosis Using Acoustics
Interspeech 2021
Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis
Interspeech 2020
Neural PLDA Modeling for End-to-End Speaker Verification
Interspeech 2020