activity
20182022
most citedAn Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text

19 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022

Automatic Contact Tracing using Bluetooth Low Energy Signals and IMU Sensor Readings

Suriyadeepan Ramamoorthy, Joyce Mahon, Michael O'Mahony +3

In this report, we present our solution to the challenge provided by the SFI Centre for Machine Learning (ML-Labs) in which the distance between two phones needs to be estimated. I…

cond-mat.quant-gas2021★ 12 cited

Bayesian Optimization of Bose-Einstein Condensates

Tamil Arasan Bakthavatchalam, Suriyadeepan Ramamoorthy, Malaikannan Sankarasubbu +2

Machine Learning methods are emerging as faster and efficient alternatives to numerical simulation techniques. The field of Scientific Computing has started adopting these data-dri…

cs.CV2019★ 2 cited

Detecting Parking Spaces in a Parcel using Satellite Images

Murugesan Vadivel, SelvaKumar Murugan, Suriyadeepan Ramamoorthy +2

Remote Sensing Images from satellites have been used in various domains for detecting and understanding structures on the ground surface. In this work, satellite images were used f…

cs.LG2018★ 5 cited

Compositional Attention Networks for Interpretability in Natural Language Question Answering

Muru Selvakumar, Suriyadeepan Ramamoorthy, Vaidheeswaran Archana +1

MAC Net is a compositional attention network designed for Visual Question Answering. We propose a modified MAC net architecture for Natural Language Question Answering. Question An…

cs.CL2018★ 19 cited

An Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text

Suriyadeepan Ramamoorthy, Selvakumar Murugan

Adverse reaction caused by drugs is a potentially dangerous problem which may lead to mortality and morbidity in patients. Adverse Drug Event (ADE) extraction is a significant prob…