Luisa F. Polanía

Affiliations:
  • American Family Mutual Insurance Company, Madison, WI, USA


According to our database1, Luisa F. Polanía authored at least 24 papers between 2010 and 2021.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2021
Editorial: Artificial Intelligence in Insurance and Finance.
Frontiers Appl. Math. Stat., 2021

Boosted Embeddings for Time-Series Forecasting.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020
Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks.
CoRR, 2020

Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Deep Adaptive Wavelet Network.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning Furniture Compatibility with Graph Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Skin Chromophore Estimation from Mobile Selfie Images using Constrained Independent Component Analysis.
Proceedings of the Computational Imaging XVIII, Burlingame, 2020

2019
Ordinal Regression Using Noisy Pairwise Comparisons for Body Mass Index Range Estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

A Textural Deep Neural Network Combined With Handcrafted Features for Mechanical Failure Classification.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

Learning Fashion Compatibility Across Apparel Categories for Outfit Recommendation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Social Relationship Recognition Based on A Hybrid Deep Neural Network.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018
Compressed sensing ECG using restricted Boltzmann machines.
Biomed. Signal Process. Control., 2018

Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Smile Detection in the Wild Based on Transfer Learning.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017
Exploiting Restricted Boltzmann Machines and Deep Belief Networks in Compressed Sensing.
IEEE Trans. Signal Process., 2017

Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Group-level emotion recognition using deep models on image scene, faces, and skeletons.
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017

2015
Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems.
IEEE J. Biomed. Health Informatics, 2015

Method for classifying cardiac arrhythmias using photoplethysmography.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
A weighted ℓ1 minimization algorithm for compressed sensing ECG.
Proceedings of the IEEE International Conference on Acoustics, 2014

2011
Compressed sensing based method for ECG compression.
Proceedings of the IEEE International Conference on Acoustics, 2011

Iterative hard thresholding for compressed sensing with partially known support.
Proceedings of the IEEE International Conference on Acoustics, 2011

Matrix completion based ECG compression.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Iterative algorithms for compressed sensing with partially known support.
Proceedings of the IEEE International Conference on Acoustics, 2010


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