ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2410.22452
  4. Cited By
Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2
v1v2 (latest)

Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2

3 January 2025
Parisa Hatami
Richard Annan
Luis Urias Miranda
Jane Gorman
Mengjun Xie
Letu Qingge
Hong Qin
    AAML
ArXiv (abs)PDFHTML

Papers citing "Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2"

4 / 4 papers shown
Title
A Review of Challenges and Opportunities in Machine Learning for Health
A Review of Challenges and Opportunities in Machine Learning for Health
Marzyeh Ghassemi
Tristan Naumann
Peter F. Schulam
Andrew L. Beam
Irene Y. Chen
Rajesh Ranganath
111
272
0
01 Jun 2018
CatBoost: unbiased boosting with categorical features
CatBoost: unbiased boosting with categorical features
Anna Veronika Dorogush
Gleb Gusev
A. Vorobev
Nikita Kazeev
Andrey Gulin
72
90
0
28 Jun 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
856
39,702
0
09 Mar 2016
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
327
2,614
0
28 Mar 2008
1