Research Interests
My research interests are mostly around AI, and more specifically Natural Language Processing applications. I have worked on several projects related to the analysis of long-unstructured text for different tasks ranging from sentiment analysis to topic modeling, and more recently, text classification on data from social media and the health domain.
I have also explored the application of Brain-Computer Interfaces with non-invasive electrodes during my Engineering thesis. This work consisted in the online processing of non-stationary EEG signals for the control of a device.
There's more to it than that however, if you have any questions regarding my past work, don't hesitate to ask!
Publications
* = Equal contribution
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Harnessing Moderate-Sized Language Models for Reliable Patient Data De-identification in Emergency Department Records: An Evaluation of Strategies and Performance (Preprint)
Océane Dorémus, Dylan Russon, Benjamin Contrand, Ariel Guerra-Adames, Marta Avalos-Fernandez, Cédric Gil-Jardiné et Emmanuel Lagarde
Journal of Medical Internet Research (Preprint). 2024.
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Analyzing Spanish-Language Public Sentiment in the Context of a Pandemic and Social Unrest: The Panama Case
Fernando Arias*, Ariel Guerra-Adames*, Maytee Zambrano, Efraín Quintero-Guerra and Nathalia Tejedor-Flores.
International Journal of Environmental Research and Public Health. 2022.
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Sentiment Analysis of Public Social Media as a Tool for Health-Related Topics
Fernando Arias, Maytee Zambrano, Ariel Guerra-Adames, Nathalia Tejedor-Flores and Miguel Vargas-Lombardo.
IEEE Access. June 2022.
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Control of a Simulated Terrestrial Vehicle Through the Real-Time Processing and Classification of Electroencephalogram Data
Ariel Guerra-Adames, Danilo Cáceres and Fernando Merchan.
Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE). March 2022.
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Real Time Operator Focus Monitoring System Based on a Brain-Computer Interface
Ariel Guerra-Adames, Danilo Cáceres, Fernando Merchan and Kang-Hyun Jo.
IEEE 29th International Symposium on Industrial Electronics (ISIE). June 2020.
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Bioacoustic classification of Antillean manatee vocalization spectrograms using deep convolutional neural networks
Fernando Merchan, Ariel Guerra-Adames, Héctor Poveda, Héctor M. Guzman and Javier E. Sanchez-Galan.
Applied Sciences. May 2020.
Talks & Presentations
- Mar 2024 "Optimisation des services des urgences hospitalières à l'aide de l'IA : une opportunité incontournable et un risque de systématisation des disparités de santé" at Dataquitaine 2024, Bordeaux, France
- Jan 2024 Best Pitch Award "Learning PDEs from Data: Can We Solve the Non-registration Issue?" at Manutech SLEIGHT Science Event #11, Saint-Étienne, France
- Jun 2021 "Control de un Vehículo Mediante el Procesamiento e Interpretación en Tiempo Real de Señales de Electroencefalografía" at APANAC 2021, Panama City, Panama