Menasha Thilakaratne

Orcid: 0000-0003-4956-6171

According to our database1, Menasha Thilakaratne authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs.
CoRR, 2023

2022
EmoMent: An Emotion Annotated Mental Health Corpus from Two South Asian Countries.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2020
What Do Linguistic Expressions Tell Us about Learners' Confusion? A Domain-Independent Analysis in MOOCs.
IEEE Trans. Learn. Technol., 2020

A Systematic Review on Literature-based Discovery: General Overview, Methodology, & Statistical Analysis.
ACM Comput. Surv., 2020

Connecting the Dots: Hypotheses Generation by Leveraging Semantic Shifts.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Garbage In, Garbage Out? An Empirical Look at Information Richness of LBD Input Types.
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

Information Extraction in Digital Libraries: First Steps towards Portability of LBD Workflow.
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

2019
A systematic review on literature-based discovery workflow.
PeerJ Comput. Sci., 2019

An Identification of Learners' Confusion through Language and Discourse Analysis.
CoRR, 2019

Detecting cognitive engagement using word embeddings within an online teacher professional development community.
Comput. Educ., 2019

2018
Automatic Detection of Cross-Disciplinary Knowledge Associations.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop, 2018

2016
Knowledge-Driven Approach to Predict Personality Traits by Leveraging Social Media Data.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016


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