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  • Theodora Chaspari
  • CV
  • HUman Bio-Behavioral Signals Lab
  • Teaching
    • CSCE 421/633: Machine Learning
    • CSCE 689: Human Behavior Analytics
    • CSCE 689: Human Behavior Analytics (Fall 2018)

Theodora Chaspari

Texas A&M University College of Engineering

CSCE 633: Machine Learning (Fall 2017)

Final projects and presentations

Best publicly voted projects

  • Zibo Zhong and Tao Wang, Classification of NBA players [presentation] [report]
  • Yin Zhang and Yi-Pin Lai, What am I going to wear? VtBPR: A Visual-trending Aware Bayesian Personalized Ranking Recommender

Computer vision

  • Aditya Gurjar and Pritish Uplavikar, Image Captioning Using Neural Networks [presentation]
  • Junru Wu, Pixelated Image Abstraction [presentation] [report]
  • Vaibhav Rawat and Shubham Bhargava, Image Inpainting [presentation] [report]
  • Leela Krishna Gottumukkala and Savinay Narendra, Sketch-Based Wireframing [presentation] [report]

Speech & Language

  • Wenlin Yao, Acquire common sense knowledge between events via weakly supervised approach [presentation] [report]
  • Jigna Reshamwala and Surya Akella, Machine Language Translation [presentation]
  • Xing Zhao and Sirui Li, WikiPedia Online Attacking Detection [presentation] [report]
  • Jacob Fenger, Emotion recognition using speech [presentation] [report]

Sports & Entertainment

  • Tao Wang and Zibo Song, Prediction of NBA player ranking [presentation] [report]
  • Henry Quan and Evan Feiereisel, Exploring associations between young individual attributes and preferences [presentation] [report]

Health & Community well-being

  • Parvez Rafi, Arash Pakbin, and Shiva Kumar Pentyala, Interpretable deep learning model for predicting all-cause 30-day hospital readmissions [presentation] [report]
  • Aditya Gujral, Detecting conflict in couples [presentation] [report]
  • Yash Sharma, Zong-Fu Hsieh, and Sangam Jindal, Deep learning for self driving cars [presentation] [report]
  • Baiherula Abula, David Cross, and Aaron Kingery, Application of Machine Learning Tools to Predict the Vulnerability of Communities to Natural Disasters [presentation] [report]
  • Xianzhi Liu and Qingquan Song, Safe Driver Prediction [presentation] [report]

Theory

  • Ye Yuan and Xiaohan Chen, Interpretable Learned LASSO [presentation] [report]

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