Sujan Perera
Cited by
Cited by
“I just wanted to tell you that loperamide WILL WORK”: a web-based study of extra-medical use of loperamide
R Daniulaityte, R Carlson, R Falck, D Cameron, S Perera, L Chen, ...
Drug and alcohol dependence 130 (1-3), 241-244, 2013
Implicit Entity Linking in Tweets
S Perera, PN Mendes, A Alex, AP Sheth, K Thirunarayan
Extended Semantic Web Conference, 118-132, 2016
Sorting through the safety data haystack: using machine learning to identify individual case safety reports in social-digital media
S Comfort, S Perera, Z Hudson, D Dorrell, S Meireis, M Nagarajan, ...
Drug safety 41 (6), 579-590, 2018
Semantics driven approach for knowledge acquisition from emrs
S Perera, C Henson, K Thirunarayan, A Sheth, S Nair
IEEE journal of biomedical and health informatics 18 (2), 515-524, 2013
Challenges in understanding clinical notes: Why NLP engines fall short and where background knowledge can help
S Perera, A Sheth, K Thirunarayan, S Nair, N Shah
Proceedings of the 2013 international workshop on Data management …, 2013
Knowledge will propel machine understanding of content: extrapolating from current examples
A Sheth, S Perera, S Wijeratne, K Thirunarayan
Proceedings of the International Conference on Web Intelligence, 1-9, 2017
Artificial intelligence within pharmacovigilance: a means to identify cognitive services and the framework for their validation
R Mockute, S Desai, S Perera, B Assuncao, K Danysz, N Tetarenko, ...
Pharmaceutical medicine 33 (2), 109-120, 2019
Training augmented intelligent capabilities for pharmacovigilance: applying deep-learning approaches to individual case safety report processing
D Abatemarco, S Perera, SH Bao, S Desai, B Assuncao, N Tetarenko, ...
Pharmaceutical Medicine 32 (6), 391-401, 2018
Domain-specific hierarchical subgraph extraction: A recommendation use case
S Lalithsena, S Perera, P Kapanipathi, A Sheth
2017 IEEE International Conference on Big Data (Big Data), 666-675, 2017
Implicit Entity Recognition in Clinical Documents
S Perera, P Mendes, A Sheth, K Thirunarayan, A Alex, C Heid, G Mott
Fourth Joint Conference on Lexical and Computational Semantics (*SEM), 228-238, 2015
Data driven knowledge acquisition method for domain knowledge enrichment in the healthcare
S Perera, C Henson, K Thirunarayan, A Sheth, S Nair
2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-8, 2012
Knowledge-driven approach to predict personality traits by leveraging social media data
M Thilakaratne, R Weerasinghe, S Perera
2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 288-295, 2016
Optimizing hierarchical classification with adaptive node collapses
S Perera, O Raz, R Routray, S Bao, M Zalmanovici
Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Evaluating textual annotation model performance
SH Bao, R Ip, P Perera, C Ramakrishnan, R Routray, S Voruganti
US Patent App. 15/836,250, 2019
Optimizing Hierarchical Classification with Adaptive Node Collapses
PDSU Perera, O Raz, R Routray, V Krishnamurthy, SH Bao, ED Farchi
US Patent App. 16/291,263, 2020
Mining biological networks to explain and rank hypotheses
JJ Labrie, PD Perera, M Nagarajan, C Ramakrishnan, WS Spangler
US Patent 9,536,193, 2017
Finding optimal surface for hierarchical classification task on an ontology
ED Farchi, P Perera, O Raz
US Patent 11,334,816, 2022
Finding optimal surface for hierarchical classification task on an ontology
ED Farchi, P Perera, O Raz
US Patent 11,281,995, 2022
Architecture for machine learning model to leverage hierarchical semantics between medical concepts in dictionaries
PDSU Perera, C Ramakrishnan, SH Bao, R Routray
US Patent 11,257,592, 2022
Neural Network Architecture for Performing Medical Coding
N Aggarwal, SH Bao, P Perera
US Patent App. 17/468,817, 2021
The system can't perform the operation now. Try again later.
Articles 1–20