Mohamed Abdalla

Orcid: 0000-0002-2776-6036

Affiliations:
  • University of Alberta, Department of Medicine, Edmonton, Canada
  • University of Toronto, Department of Computer Science, Toronto, Canada (PhD 2022)


According to our database1, Mohamed Abdalla authored at least 22 papers between 2017 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Predicting Pulmonary Function from Chest X-Rays Using Deep Learning: A DenseNet Approach to Estimating FEV1/FVC Z-Scores.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

Citation Amnesia: On The Recency Bias of NLP and Other Academic Fields.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Citation Amnesia: NLP and Other Academic Fields Are in a Citation Age Recession.
CoRR, 2024

SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 14 Languages.
CoRR, 2024



Collaboration or Corporate Capture? Quantifying NLP's Reliance on Industry Artifacts and Contributions.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Can Patients with Dementia Be Identified in Primary Care Electronic Medical Records Using Natural Language Processing?
J. Heal. Informatics Res., March, 2023

Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors.
CoRR, 2023

We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Rethinking Clinical De-identification
PhD thesis, 2022

A general framework for predicting the transcriptomic consequences of non-coding variation and small molecules.
PLoS Comput. Biol., 2022

2021
The Grey Hoodie Project: Big Tobacco, Big Tech, and the Threat on Academic Integrity.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Using word embeddings to improve the privacy of clinical notes.
J. Am. Medical Informatics Assoc., 2020

Hurtful words: quantifying biases in clinical contextual word embeddings.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

Examining the rhetorical capacities of neural language models.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019
A survey of word embeddings for clinical text.
J. Biomed. Informatics X, 2019

WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Enriching Word Embeddings with a Regressor Instead of Labeled Corpora.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
Cross-Lingual Sentiment Analysis Without (Good) Translation.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017


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