Tags: machine learning

All Categories (1-20 of 46)

  1. Fangfei Lan

    I am a 5th year CS PhD student from the Scientific Computing and Imaging Institute, University of Utah. My research interests are topological data analysis and data visualization. Outside of work,...

    https://qubeshub.org/community/members/47277

  2. Michael Igorevich Ivanitskiy

    https://qubeshub.org/community/members/47149

  3. Nazia Riasat

    I am Nazia, a fifth-year Ph.D. student in Statistics at NDSU. Currently, I am working as a Graduate Research Assistant, where I have had the privilege of collaborating with the esteemed faculty in...

    https://qubeshub.org/community/members/47059

  4. Sanghoon Na

    I am in the 4th year of the MATH Ph.D. program at the University of Maryland, College Park. My research interests are theoretical machine learning and compression methods (data and neural networks).

    https://qubeshub.org/community/members/47009

  5. Paul Samuel Padasas Ignacio

    I am a 34 year-old Filipino scientist. I speak English and Filipino (Tagalog) fluently. My hobbies and recreational interests include visiting parks, taking photographs, and learning about...

    https://qubeshub.org/community/members/46998

  6. Théo Lacombe

    Maître de conférence (~Lecturer/Assistant prof) at Université Gustave Eiffel (France, near Paris). Working in Optimal Transport & Topological Data Analysis, targeting machine learning applications.

    https://qubeshub.org/community/members/46798

  7. Rolando Kindelan

    I am PhD Candidate in Computer Science at University of Chile working on the intersection of Topological Data Analysis, Compact Data Structures and Machine Learning. In my spare time I like to see...

    https://qubeshub.org/community/members/46741

  8. Wanchen Zhao

    I'm a third year PhD student in Mathematics at University of Florida. I'm interested in the limiting behavior of the topological summary as the data size increases and vectorization methods for...

    https://qubeshub.org/community/members/46729

  9. Kaiying O'Hare

    I am Kaiying O'Hare. I am a postdoc in Applied Mathematics and Statistics at Johns Hopkins University. I received my PhD from the Ohio State University. I am currently working on GNN problems.

    https://qubeshub.org/community/members/46714

  10. Shashank Sule

    https://qubeshub.org/community/members/46703

  11. Marco Buongiorno Nardelli

    https://qubeshub.org/community/members/46544

  12. Diep Thi Hoang

    https://qubeshub.org/community/members/46530

  13. Using genomic data and machine learning to predict antibiotic resistance: a tutorial paper

    16 Feb 2024 | Teaching Materials | Contributor(s):

    By Faye Orcales1, Lucy Moctezuma2, Meris Johnson-Hagler1, John Suntay1, Jameel Ali1, Kristiene Recto1, Pleuni Pennings, Ph.D1

    1. San Francisco State University 2. California State University, East Bay

    Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to...

    https://qubeshub.org/publications/4641/?v=1

  14. Apryle Craig

    https://qubeshub.org/community/members/45193

  15. Faye Orcales

    https://qubeshub.org/community/members/44767

  16. Faye Orcales

    https://qubeshub.org/community/members/44486

  17. Tom Stojsavljevic

    https://qubeshub.org/community/members/40322

  18. Oluwafolake Ayano

    https://qubeshub.org/community/members/38163

  19. John Alex

    https://qubeshub.org/community/members/35377

  20. Abdulgafar Kayode Amuda

    https://qubeshub.org/community/members/34066