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Learning to Airbnb by Engaging in Online Communities of Practice
(Georgia Institute of Technology, 2020-05)
Technological advances, combined with sustained, minimalist consumerism, have raised the popularity of sharing economy platforms like Airbnb and Uber. These platforms are considered to have disrupted traditional industries ...
Linear Promises: Towards Safer Concurrent Programming
(Georgia Institute of Technology, 2022-05)
In this paper, we introduce a new type system based on linear typing, and show how it can be incorporated in a concurrent programming language to track ownership of promises. By tracking write operations on each promise, ...
No Code Test Recording for iOS Applications
(Georgia Institute of Technology, 2020-08)
Over the past decade, mobile apps have touched every sphere of life with ~4.5M applications available to download through Apple’s App Store and Google’s Play Store that are expected to generate ~$1T in revenue by 2023. ...
Personalized Lifelong Learning from Demonstration
(Georgia Institute of Technology, 2022-05)
Learning from Demonstration (LfD) approaches empower end-users to teach robots novel tasks via demonstrations of the desired behaviors, democratizing access to robotics. A key challenge in LfD research is that users tend ...
Volatility Prediction using Earnings Call Transcripts and Rationale Behind the Model's Predictions
(Georgia Institute of Technology, 2021-12)
In this study, we looked at creating models that predict volatility given earnings call transcripts that perform better than baselines such as HTML. To accomplish this, we developed the Common Transformer Stack (CTS), which ...
Chainsaw Before Scalpel: Dependency-Based Pre-processing for Program Reduction
(Georgia Institute of Technology, 2021-12)
Program reduction techniques, which aim to minimize the size of a program, have many applications, including software debloating, debugging, and optimization in general. Therefore, these techniques have been extensively ...
Multi-task learning for neural image classification and segmentation using a 3D/2D contextual U-Net model
(Georgia Institute of Technology, 2020-05)
We present a 3D/2D Contextual U-Net model and apply it to segment and classify samples from a heterogeneous mouse brain dataset obtained via X-ray microtomography, which spans 4 distinct brain areas: Striatum, Ventral ...
A Study of Allele-Specific Methylation on the Human X Chromosome
(Georgia Institute of Technology, 2022-05)
X chromosome inactivation in female mammals ensures dosage compensation between sexes. Allele-specific DNA methylation is a known epigenetic signature of X chromosome inactivation where the active and inactive X chromosomes ...
Examinator: Detecting Exam Cheating Via Comparison of Question Answering Timings
(Georgia Institute of Technology, 2022-05)
Cheating is an issue that affects more than just the student doing it, no matter the format of the assessment being cheated on. Take-home exams provide more flexibility for the instructor and student than regular proctored ...
An Implementation of the Quantum Verification of Matrix Products Algorithm
(Georgia Institute of Technology, 2022-05)
We present a space-efficient implementation of the quantum verification of matrix products (QVMP) algorithm and demonstrate its functionality by running it on the Aer simulator with two simulation methods: statevector and ...