Ramon Maldonado

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Background

I am a PhD candidate at The University of Texas at Dallas Human Language Technology Research Institute. My research advisor is Dr. Sanda Harabagiu.

I'm originally from Corpus Christi, Texas and graduated from Mary Carroll High School and I earned my B.S. from UTD in 2014.

Publications

Active Deep Learning for the Identification of Concepts and Relations in Electroencephalography Reports
Ramon Maldonado and Sanda M. Harabagiu.
Journal of Biomedical Informatics (JBI), Volume 98: 103265.
PDF DOI ScienceDirect
Adversarial Learning of Knowledge Embeddings for the Unified Medical Language System
Ramon Maldonado, Meliha Yetisgen, and Sanda M. Harabagiu.
Proceedings of the American Medical informatics Association (AMIA) Informatics Summit, 2019.
PDF Code
Memory-Augmented Active Deep Learning for Identifying Relations Between Distant Medical Concepts in Electroencephalography Reports Winner of CRI Distinguished Paper Award
Ramon Maldonado, Travis R. Goodwin, and Sanda M. Harabagiu.
Proceedings of the American Medical informatics Association (AMIA) Informatics Summit, 2018.
PMC PubMed PDF Slides
Deep Learning Meets Biomedical Ontologies: Knowledge Embeddings for Epilepsy.
Ramon Maldonado, Travis R. Goodwin, Michael A. Skinner, and Sanda M. Harabagiu.
Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium, 2017.
PMC PubMed PDF Slides
Automatic Recognition of Symptom Severity from Psychiatric Evaluation Records
Travis R. Goodwin, Ramon Maldonado, and Sanda M. Harabagiu.
Journal of Biomedical Informatics (JBI), Volume 75, Special Issue, pp.S71-S84, Vol. 9, Issue 2.
DOI ScienceDirect PDF PubMed
Active Deep Learning-Based Annotation of Electroencephalography Reports for Cohort Identification Nominated for Distinguished Paper Award
Ramon Maldonado, Travis R. Goodwin, and Sanda M. Harabagiu.
Proceedings of the American Medical informatics Association (AMIA) Joint Summit on Translational Science (TBI), 2017.
PMC PubMed PDF Slides
The Role of Semantic and Discourse Information in Learning the Structure of Surgical Procedures.
Ramon Maldonado, Travis R. Goodwin, Sanda M. Harabagiu, and Michael A. Skinner.
International Conference on Healthcare Informatics (ICHI), pp. 223-232. IEEE, 2015.
PDF Slides

Research

To be written...

Contact

ramon (at) hlt.utdallas.edu
Department of Computer Science
The University of Texas at Dallas
800 W. Campbell Road, MS EC31
Richardson, TX 75083-0688, USA