Index Catalog // ScholarsArchive@OSU

Analytical Methods for Improving Causal Inference

Creator:: Sinha, Meghamala
Abstract:: Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
Resource Type:: Dissertation

Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

Creator:: Yao, Yao
Abstract:: We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
Resource Type:: Dissertation

Species Distribution Modeling of Citizen Science Data as A Classification Problem with Class-Conditional Label Noise

Creator:: He, Liqiang
Abstract:: Species distribution models (SDM), which quantify the correlation between the distribution of a species and environmental factors, are increasingly used to map and monitor animal and plant distributions in the context of awareness of environmental change and its ecological consequence. For perfect data, this is a straightforward classification problem from...
Resource Type:: Masters Thesis
Full Text:: gratitude to Dr. Sarah C. Emerson for the guidance and collaboration for my research. I would like to

SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study

Creator:: Agarwal, Puja
Abstract:: Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon it. To understand how to improve technology’s SES-inclusivity, we present a multi-phase case study on SocioEconomicMag (SESMag), an emerging inspection method...
Resource Type:: Masters Thesis

Improving User Mental Models of XAI Systems with Inclusive Design Approaches

Creator:: Hamid, Md Montaser
Abstract:: Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
Resource Type:: Masters Thesis

Enabling Virtual Globes for A Visual-Auditory User Experience of Spatial Data

Creator:: Gune, Aditya N.
Abstract:: Geographical datasets are large, complex, and can be difficult for users to navigate and derive meaning from. These datasets, as well as the unique insights derived from them, provide tremendous opportunity for social change -- many of the global challenges humankind is currently facing can benefit from analytics or visualization...
Resource Type:: Masters Thesis

Visualization and analysis of sensor data for detecting microclimate cold air pools

Creator:: Singh, Satpreet Harcharan
Abstract:: Cold air pools are spatiotemporal phenomena that occur when cold air from higher elevations roll down the slope to accumulate in lower elevations. Behaviors like this lead to microclimate anomalies such as the city of Corvallis (Oregon) experiencing persistent cold weather even on a sunny day. We analyze multivariate temperature...
Resource Type:: Masters Thesis

Supporting merge comprehension when resolving merge conflicts

Creator:: Nelson, Nicholas
Abstract:: Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
Resource Type:: Dissertation

Simulator-Defined MDP Planning with Applications in Natural Resource Management

Creator:: Alkaee Taleghan, Majid
Abstract:: This work is inspired by problems in natural resource management centered on the challenge of invasive species. Computing optimal management policies for maintaining ecosystem sustainable is challenging. Many ecosystem management problems can be formulated as MDP (Markov Decision Process) planning problems. In a simulator-defined MDP, the Markovian dynamics and rewards...
Resource Type:: Dissertation
Full Text:: , Sarah Ghasedi, who has been closest to me all these years and shared happy moments with me. Her

Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

Creator:: Deng, Dezhong
Abstract:: Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
Resource Type:: Dissertation

ScholarsArchive@OSU

Analytical Methods for Improving Causal Inference

Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

Species Distribution Modeling of Citizen Science Data as A Classification Problem with Class-Conditional Label Noise

SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study

Improving User Mental Models of XAI Systems with Inclusive Design Approaches

Enabling Virtual Globes for A Visual-Auditory User Experience of Spatial Data

Visualization and analysis of sensor data for detecting microclimate cold air pools

Supporting merge comprehension when resolving merge conflicts

Simulator-Defined MDP Planning with Applications in Natural Resource Management

Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

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