Jessica Sena

Affiliations:
  • Federal University of Minas Gerais, Smart Sense Laboratory, Belo Horizonte, Brazil


According to our database1, Jessica Sena authored at least 13 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Transformers and large language models in healthcare: A review.
Artif. Intell. Medicine, 2024

2023
The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU).
CoRR, 2023

Transformers in Healthcare: A Survey.
CoRR, 2023

Predicting risk of delirium from ambient noise and light information in the ICU.
CoRR, 2023

Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Pixel-level Class-Agnostic Object Detection using Texture Quantization.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

2021
A content-based late fusion approach applied to pedestrian detection.
J. Vis. Commun. Image Represent., 2021

Human activity recognition based on smartphone and wearable sensors using multiscale DCNN ensemble.
Neurocomputing, 2021

2019
SkeleMotion: A New Representation of Skeleton Joint Sequences based on Motion Information for 3D Action Recognition.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018
Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art.
CoRR, 2018

Object-Based Temporal Segment Relational Network for Activity Recognition.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

Multiscale DCNN Ensemble Applied to Human Activity Recognition Based on Wearable Sensors.
Proceedings of the 26th European Signal Processing Conference, 2018

2016
A late fusion approach to combine multiple pedestrian detectors.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016


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