Aaditya Prakash

Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks

2017

Current Adverse Drug Events (ADE) surveillance systems are often associated with a sizable time lag before such events are published. Online social media such as Twitter could describe adverse drug events in real-time, prior to …

Prediction of Load Demand on Base Stations for application of Energy Conservation Using Deliberated Informer

2023

With the growing popularity and accessibility of mobile smart phones in every nook and corner of the world, cellular traffic demand has seen an exponential increase. Consequently, more number of Base Station (BS) are required …

Neural Paraphrase Generation with Stacked Residual LSTM Networks

2016 · arXiv (Cornell University)

In this paper, we propose a novel neural approach for paraphrase generation. Conventional para- phrase generation methods either leverage hand-written rules and thesauri-based alignments, or use statistical machine learning principles. To the best of our …