activity
20202022
most citedPrivPAS: A real time Privacy-Preserving AI System and applied ethics

9 citations · 30 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV20229 cited

PrivPAS: A real time Privacy-Preserving AI System and applied ethics

Harichandana B S S, Vibhav Agarwal, Sourav Ghosh +3

With 3.78 billion social media users worldwide in 2021 (48% of the human population), almost 3 billion images are shared daily. At the same time, a consistent evolution of smartpho…

cs.CY20213 cited

Measuring Domain Knowledge for Early Prediction of Student Performance: A Semantic Approach

Anupam Khan, Sourav Ghosh, Soumya K. Ghosh

The growing popularity of data mining catalyses the researchers to explore various exciting aspects of education. Early prediction of student performance is an emerging area among…

cs.CL20217 cited

Real-Time Optimized N-gram For Mobile Devices

Sharmila Mani, Sourabh Vasant Gothe, Sourav Ghosh +4

With the increasing number of mobile devices, there has been continuous research on generating optimized Language Models (LMs) for soft keyboard. In spite of advances in this domai…

cs.CL20218 cited

Language Detection Engine for Multilingual Texting on Mobile Devices

Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani +3

More than 2 billion mobile users worldwide type in multiple languages in the soft keyboard. On a monolingual keyboard, 38% of falsely auto-corrected words are valid in another lang…

cs.CL20212 cited

edATLAS: An Efficient Disambiguation Algorithm for Texting in Languages with Abugida Scripts

Sourav Ghosh, Sourabh Vasant Gothe, Chandramouli Sanchi +1

Abugida refers to a phonogram writing system where each syllable is represented using a single consonant or typographic ligature, along with a default vowel or optional diacritic(s…

cs.CL20211 cited

LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning

Sonal Kumari, Vibhav Agarwal, Bharath Challa +4

Named entity detection and Parts-of-speech tagging are the key tasks for many NLP applications. Although the current state of the art methods achieved near perfection for long, for…