1. Laboratory Earthquake Prediction using Deep Learning Open Access Author: Girkar, Vrushali Sanjay Title: Laboratory Earthquake Prediction using Deep Learning Graduate Program: Computer Science and Engineering (MS) Keywords: Machine LearningDeep LearningEarthquake PredictionTime-Series PredictionSupervised Regression ProblemAutomatic Feature Extraction File: Download Vrushali_Thesis.pdf Committee Members: Chitaranjan Das, Program Head/ChairDaniel Kifer, Thesis Advisor/Co-AdvisorC Lee Giles, Committee MemberParisa Shokouhi, Committee Member
2. Automatic Generation of Floorplans using Generative Adversarial Networks Open Access Author: Galiveeti, Sneha Suhitha Title: Automatic Generation of Floorplans using Generative Adversarial Networks Graduate Program: Computer Science and Engineering (MS) Keywords: GANImage Synthesis ProblemFloorplan Generation File: Download Sneha_Suhitha_Galiveeti_Thesis.pdf Committee Members: Chitaranjan Das, Program Head/ChairDaniel Kifer, Thesis Advisor/Co-AdvisorC Lee Giles, Committee MemberSharon Xiaolei Huang, Thesis Advisor/Co-Advisor
3. Physics-Informed Deep Learning For Prediction of CO2 Storage Site Response Open Access Author: Prathipati, Sumedha Title: Physics-Informed Deep Learning For Prediction of CO2 Storage Site Response Graduate Program: Computer Science and Engineering (MS) Keywords: CO2 storageSite response forecastingPhysics-informed deep learningLong Short-Term Memory (LSTM) File: Download Thesis_Sumedha.pdf Committee Members: Chitaranjan Das, Program Head/ChairDaniel Kifer, Thesis Advisor/Co-AdvisorC Lee Giles, Committee MemberParisa Shokouhi, Committee Member
4. Improved Facial Expression Recognition Using Noisy Student Training and Synthetic Data Generation Open Access Author: Kumar, Vikas Title: Improved Facial Expression Recognition Using Noisy Student Training and Synthetic Data Generation Graduate Program: Computer Science and Engineering (MS) Keywords: Facial expression recognitionstudent-teacher networksemisupervised learningmulti-level attentionFacial expression recognition student-teacher networksemisupervised learning multi-level attentionfacial expression recognitionunsupervised learningstudent teacher networkmachine learningdeep learningGANCNN File: Download Thesis.pdf Committee Members: Chitaranjan Das, Program Head/ChairDaniel Kifer, Thesis Advisor/Co-AdvisorC Lee Giles, Committee Member
