Victor Robila

Category: Machine Learning

• Machine Learning Paper Python

  Development of a Neural Network-Based Mathematical Operation Protocol for Embedded Hexadecimal Digits Using Neural Architecture Search (NAS)

  At Columbia, with Drs. Junfeng Yang and Kexin Pei (now at UChicago), I evaluated machine learning models for mathematical operations. I specifically had a focus on developing a robust comparison of human developed and automatically sourced networks for this issue. A paper outlining my work can be found on ArXiv…

  October 19, 2023
• IEEE Machine Learning Paper Python

  A Subspace-Classification Approach for Simulated Tuple Class Assignment

  I examined subspace classification with Dr. Robert Haralick at the CUNY Graduate School. After developing a custom subspace classifier in C for measurement classification I wrote and published a paper in the IEEE LISAT Conference. See the citation, paper, and a picture from my presentation below Robila, V., Haralick R.,…

  October 19, 2023
• Bioinformatics Machine Learning Poster Python

  Benchmarking Machine Learning Methods on Simulated Bioinformatics Data

  I worked on this research project while an intern with Dr. Frank Zijun Zhang at Princeton (now at Cedars-Sinai). I used various bioinformatics machine learning models on real and simulated data to determine which could best support non-technical bioinformatics researchers on a variety of criteria included ease of use, time…

  October 19, 2023