Mario Banuelos

According to our database, Mario Banuelos authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent.

Mohammed Aburidi, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

Recommendation and Clustering Methods for Quantifying Genomic Signal Interactions.

Sarah Garner, Mario Banuelos, Emma Andrade, Nicholas Tom

Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2023

2021

A Recommendation Systems Approach for Detecting Epistasis in Genomic Signals.

Mario Banuelos, Marissa Hernandez

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Novel structural variant genome detection in extended pedigrees through negative binomial optimization.

Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Genomic Signal Processing for Variant Detection in Diploid Parent-Child Trios.

Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi

Proceedings of the 28th European Signal Processing Conference, 2020

Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data.

Mario Banuelos, Omar DeGuchy, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 28th European Signal Processing Conference, 2020

A Neural Network Approach for Anomaly Detection in Genomic Signals.

Erica Sawyer, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

Detecting novel genomic structural variants through negative binomial optimization.

Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Predicting Novel and Inherited Variants in Parent-Child Trios.

Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019

Deep Neural Networks for Low-resolution Photon-limited Imaging.

Omar DeGuchy, Fabian Santiago, Mario Banuelos, Roummel F. Marcia

Proceedings of the IEEE International Conference on Acoustics, 2019

Detecting Higher Order Genomic Variant Interactions with Spectral Analysis.

David Uminsky, Mario Banuelos, Lillian González-Albino, Rosa Garza, Sylvia Akueze Nwakanma

Proceedings of the 27th European Signal Processing Conference, 2019

2018

A Non-iterative Parallelizable Eigenbasis Algorithm for Johnson Graphs.

Jackson Abascal, Amadou Bah, Mario Banuelos, David Uminsky, Olivia Vasquez

CoRR, 2018

Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction.

Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery.

Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness.

Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Nonconvex regularization for sparse genomic variant signal detection.

Mario Banuelos, Lasith Adhikari, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 2017 IEEE International Symposium on Medical Measurements and Applications, 2017

Sparse diploid spatial biosignal recovery for genomic variation detection.

Mario Banuelos, Lasith Adhikari, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 2017 IEEE International Symposium on Medical Measurements and Applications, 2017

2016

Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery.

Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Sparse signal recovery methods for variant detection in next-generation sequencing data.

Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage.

Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016