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Skip to Search Results- 72Machine learning
- 11Data mining
- 11Predictions
- 6Artificial intelligence
- 5Reinforcement learning
- 3Game theory
- 2White, Martha
- 1Ajallooeian, Mohammad Mahdi
- 1Alinezhad, Haniyeh Seyed
- 1Allen, Felicity R
- 1Antonie, Catalina Maria-Luiza.
- 1Araya, Ruben
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Fall 2017
Massive amounts of user behavior logs and sensor data are generated on mobile devices, which can help to improve the usability of social media apps and other intelligent apps. However, collecting such personal data may spark privacy and legal concerns. Recently, many efforts in both academia and...
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Spring 2016
One of the key obstacles to the effective use of mass spectrometry (MS) in high throughput metabolomics is the difficulty in interpreting measured spectra to accurately and efficiently identify metabolites. Traditional methods for automated metabolite identification compare the target MS spectrum...
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Fall 2009
The analysis of wide-angle cellular light scattering patterns is a challenging problem. Small changes to the organization, orientation, shape, and optical properties of scatterers and scattering populations can significantly alter their complex two-dimensional scattering signatures. Because of...
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Spring 2012
Accurately identifying strand residues (beta-residues) from protein sequences aids prediction and analysis of numerous structural and functional aspects of proteins. This thesis is focused on improving sequence-based prediction of strand residues and strands, which in turn would lead to better...
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Computational support systems for prediction and characterization of protein crystallization outcomes
DownloadFall 2013
Analysis of protein structures may reveal their function, regulation and interactions. Almost 90% of the known protein structures were solved using X-ray crystallography; however, many more structures remain unsolved. Protein Structure Initiative (PSI) project was created to speed up structure...
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Fall 2009
This thesis introduces FlowGSP, a general-purpose sequence mining algorithm for flow graphs. FlowGSP ranks sequences according to the frequency with which they occur and according to their relative cost. This thesis also presents two parallel implementations of FlowGSP. The first implementation...
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Developing and Evaluating Algorithms for Fixing Omission and Commission Errors in Structured Data
DownloadFall 2020
The use of machine learning is rapidly rising to deliver a variety of benefits in various domains. However, developing predictive systems often faces many challenges that can drastically delay model deployment. For instance, obtaining labeled training data is one of the most expensive bottlenecks...
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Development and Applications of Mechanics- and Data-based Capacity Models for Intact/Corroded Prestressed Concrete Bridge Girders
DownloadFall 2022
Prestressed concrete (PC) highway bridges represent an integral part of the transportation network and contribute significantly to socio-economic development. However, highway bridges are susceptible to Deterioration and thus exhibit structural deficiency after years of service, especially in the...
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Development and Validation of an Automated Essay Scoring Framework by Integrating Deep Features of English Language
DownloadFall 2016
Automated scoring methods have become an important topic for the assessments of 21st century skills. Recent development in computational linguistics and natural language processing has given rise to more rational based methods for the extraction and modeling of language features. The language...