Tabassum Kakar
According to our database1,
Tabassum Kakar
authored at least 15 papers
between 2017 and 2022.
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Bibliography
2022
ConText: Supporting the Pursuit and Management of Evidence in Text-based Reporting Systems.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
2021
SumRe: Design and Evaluation of a Gist-based Summary Visualization for Incident Reports Triage.
Comput. Graph. Forum, 2021
2020
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Comput. Graph. Forum, 2019
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
2018
Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives.
Proceedings of the Biomedical Engineering Systems and Technologies, 2018
One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records.
Proceedings of the AMIA 2018, 2018
2017
Towards transforming FDA adverse event narratives into actionable structured data for improved pharmacovigilance.
Proceedings of the Symposium on Applied Computing, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017