2021 Summer Interns

Here is the proceedings document containing all the papers

  • Seraphin Bassas, McGill University, Quebec, Canada: Exploring Class Ordering Heuristics for Incremental Learning
  • Devin Haggit, University of Colorado, Colorado Springs, CO: Generating Depth Maps from Image Pairs collected from Tello Drones
  • Parker Hicks, Concordia University, Irvine CA: HiCARN: Super Enhancement of Hi-C Contact Maps
  • Trevor Martin, Oberlin College, Oberlin, OH: EnsembleSplice: Ensemble Learning for Splice Site Prediction
  • Wesley Robbins, Montana State University, Bozeman, MT: Multimodal Vision-Language Models Generating Non-Generic Text
  • Abigail Swenor, University of Colorado, Colorado Springs, CO: Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models
  • Daniel Theng, California State University, Fresno, CA: EEG Data Restructuring and Combination for Image Representation for Deep Learning Motor Imagery Models to Subject-transfer
  • Teddy Zaremba, University of Illinois, Chicago, IL: Classification of EEG Motor Imagery Tasks for Subject Transfer using Image-based 2D Convolutional Neural Networks