Mirgahney Mohamed
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  • Recent & Upcoming Talks
    • Diffusions now are recurrent: RecMoDiffuse - Recurrent Flow Diffusion for Human Motion Generation
    • Statistical ML paradigms
  • Blog
    • RecMoDiffuse: Recurrent Flow Diffusion for Human Motion Generation paper put on arXiv
    • Start Student Researcher internship at Google DeepMind
    • Presented DynamicSurf at 3DV 2024 in Davos, Switzerland.
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    • Dynamicsurf: Dynamic neural rgb-d surface reconstruction with an optimizable feature grid
    • RecMoDiffuse: Recurrent Flow Diffusion for Human Motion Generation
    • GNPM: Geometric-aware neural parametric models
    • A data and compute efficient design for limited-resources deep learning
    • Detecting Waterborne Debris with Sim2Real and Randomization
  • Experience
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    • Learn JavaScript
    • Learn Python
  • Projects
    • MKLBO
    • StackBot
    • Cancer Relapse Prefiction

Cancer Relapse Prefiction

Jan 30, 2019 · 1 min read
Go to Project Site

This project is part of Kernel methods course at AMMI, the task is predicting relapse in patients the data is gene expression levels for 4654 genes on 184 early-stage breast cancer samples.

Last updated on Jan 30, 2019
Hirerchial Modeling Kerenl Model
Mirgahney H. Mohamed
Authors
Mirgahney H. Mohamed
PhD Student in Computer Vision
← StackBot Feb 3, 2019

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