Kristen L. Beck

According to our database, Kristen L. Beck authored at least 7 papers between 2016 and 2023.

Collaborative distances:

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

2023

MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction.

Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood

Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

2022

Functional Genomics Platform, A Cloud-Based Platform for Studying Microbial Life at Scale.

Edward E. Seabolt, Gowri Nayar, Harsha Krishnareddy, Akshay Agarwal, Kristen L. Beck, Ignacio Terrizzano, Eser Kandogan, Mark Kunitomi, Mary Roth, Vandana V. Mukherjee, James H. Kaufman

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis.

Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World.

Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen P. Angelov, Eduardo A. Soares, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, Dana K. Pasquale, James Moody, Chris Woods, Erich S. Huang, Payam M. Barnaghi, Majid Sarrafzadeh, Ron C. Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo

IEEE Internet Things J., 2021

2019

OMXWare, A Cloud-Based Platform for Studying Microbial Life at Scale.

Edward E. Seabolt, Gowri Nayar, Harsha Krishnareddy, Akshay Agarwal, Kristen L. Beck, Ignacio Terrizzano, Eser Kandogan, Mary Roth, Vandana V. Mukherjee, James H. Kaufman

CoRR, 2019

2018

Exploiting Functional Context in Biology: Reconsidering Classification of Bacterial Life.

James H. Kaufman, Ed Seabolt, Mark Kunitomi, Akshay Agarwal, Kristen L. Beck, Harsha Krishnareddy, Bart C. Weimer

Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

2016

Design of the MCAW compute service for food safety bioinformatics.

Stefan Edlund, Kristen L. Beck, Niina Haiminen, Laxmi Parida, Brian D. Storey, Bart C. Weimer, James H. Kaufman, David D. Chambliss

IBM J. Res. Dev., 2016