activity
20162021
most citedTransformer-Based Models for Question Answering on COVID19

17 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021

Meta-learning on Spectral Images of Electroencephalogram of Schizophenics

Maritza Tynes, Mahboobeh Parsapoor

Schizophrenia is a complex psychiatric disorder involving changes in thought patterns, perception, mood, and behavior. The diagnosis of schizophrenia is challenging and requires th…

cs.CL2021★ 17 cited

Transformer-Based Models for Question Answering on COVID19

Hillary Ngai, Yoona Park, John Chen +1

In response to the Kaggle's COVID-19 Open Research Dataset (CORD-19) challenge, we have proposed three transformer-based question-answering systems using BERT, ALBERT, and T5 model…

cs.CL2020★ 1 cited

Non-Pharmaceutical Intervention Discovery with Topic Modeling

Jonathan Smith, Borna Ghotbi, Seungeun Yi +1

We consider the task of discovering categories of non-pharmaceutical interventions during the evolving COVID-19 pandemic. We explore topic modeling on two corpora with national and…

cs.NI2020★ 2 cited

A Centralized Channel Allocation Method in Clustered Ad Hoc Networks

Mahboobeh Parsapoor, Urban Bilstrup

Cognitive radio networks (CRNs) is the next generation of wireless communication. This type of network requires efficent spectrum allocation methods. This paper presents a new meta…

eess.SP2016★ 6 cited

Brain Emotional Learning-Based Prediction Model (For Long-Term Chaotic Prediction Applications)

Mahboobeh Parsapoor

This study suggests a new prediction model for chaotic time series inspired by the brain emotional learning of mammals. We describe the structure and function of this model, which…