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Skip to Search Results- 129Machine Learning
- 19Artificial Intelligence
- 15Deep Learning
- 15Reinforcement Learning
- 10Natural Language Processing
- 9Computer Vision
- 1Aghaei, Nikoo
- 1Al Dallal, Ahmed
- 1Al-Masri, Mohammad
- 1Alam Anik, Md Tanvir
- 1Alateeq, Majed Mohammad
- 1Alla, Hemanth Reddy
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Spring 2023
Traditional survey based methods for clinical depression detection are not always effective; the patient may not reflect their actual mental health condition because of the cognitive bias exhibited while filling out questionnaires about depression. Established through ample earlier work, social...
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Spring 2023
Gradient Descent algorithms suffer many problems when learning representations using fixed neural network architectures, such as reduced plasticity on non-stationary continual tasks and difficulty training sparse architectures from scratch. A common workaround is continuously adapting the neural...
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A Data-Driven Neural Network Model to Correct Derived Features in a RANS-Based Simulation of the Flow Around a Sharp-Edge Bluff Body
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In this dissertation, a machine-learning method is utilized to enhance the accuracy of wake parameters calculated by Reynolds Averaged Navier Stokes (RANS) k-ω SST model of flow on and around wall-mounted rectangular cylinders. Using high-quality results from Large Eddy Simulation (LES), this...
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Tile Embeddings: A General Representation for Procedural Level Generation via Machine Learning
DownloadSpring 2023
Procedural Level Generation via Machine Learning (PLGML) refers to the application of machine learning techniques to the automated generation of game levels. PLGML researchers have investigated different level generation techniques to generate new game levels matching the style of a training...
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Fall 2023
Pavements in cold regions face challenging environmental conditions, including prolonged periods of extreme cold, frost heave, and freeze-thaw cycles during late winter and early spring. These factors contribute to premature damage, reduced service life, and increased maintenance costs for cold...
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Fall 2023
This is a comprehensive examination of the diagnostic landscape in psychiatry and the role precision psychiatry might play in redefining how we classify illnesses. This thesis delves into three areas that currently exist in psychiatry today and is divided into five chapters. The first and second...
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Fall 2023
The increasing popularity of Deep Neural Networks (DNN) has led to their application to many domains, including Music Generation. However, these large DNN-based models are heavily dependent on their training dataset, which means they perform poorly on musical genres that are out-of-distribution...
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Fall 2023
Giving reasons for justifying the decisions made by classification models has received less attention in recent artificial intelligence breakthroughs than improving the accuracy of the models. Recently, AI researchers are paying more attention to filling this gap, leading to the introduction of...
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Solving Witness-type Triangle Puzzles Faster with an Automatically Learned Human-Explainable Predicate
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The Witness is a game with difficult combinatorial puzzles that are challenging for both human players and artificial intelligence based solvers. Indeed, the number of candidate solution paths to the largest puzzle considered in this thesis is on the order of 10^(15) and search-based solvers can...
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Spring 2023
Many competitive online video games release new characters on a regular basis. Designing these characters requires significant effort on several aspects including art, story, music, and game balance. Thus automating the design of these aspects offers value in saving human effort. This thesis...