Index Catalog // ScholarsArchive@OSU

Interactive visualization of diversity in multivariate data sets unified across fields of study

Creator:: Pham, Tuan N. T.
Abstract:: The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...
Resource Type:: Dissertation
Full Text:: Carlos Jensen, and Professor James Coakley (GCR) for their encouragement and input. This dissertation

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Creator:: Koul, Anurag
Abstract:: Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
Resource Type:: Dissertation

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

Failure-resilient congestion-aware load balancing protocol for three-tier clos data centers

Creator:: Alanazi, Sultan and Hamdaoui, Bechir
Abstract:: Clos-based network topologies have been deployed in production data center networks to provide multiple path alternatives between the pairs of network hosts. Production data centers operate under varying traffic dynamics and topological asymmetry. Therefore, a good load balancing scheme must adapt to network conditions and dynamics in real-time and intelligently...
Resource Type:: Technical Report

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Creator:: Khorram, Saeed
Abstract:: In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
Resource Type:: Masters Thesis

Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Creator:: Dodge, Jonathan E.
Abstract:: Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
Resource Type:: Dissertation

A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

Creator:: Emmott, Andrew F.
Abstract:: It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
Resource Type:: Masters Thesis

Information Theoretical Analysis of Self-Similar Trees

Creator:: Chunikhina, Evgenia V.
Abstract:: Tree-like patterns are ubiquitous in nature. Botanical trees, river networks, and blood systems are the most well-known examples of complex hierarchical systems met in observations. Interestingly, many of such systems exhibit statistical self-similarity. There are two main types of self-similarity: Horton self-similarity and Tokunaga self-similarity. Although there is an increased...
Resource Type:: Dissertation

Power System Resilience Following a Cascadia Subduction Zone Earthquake

Creator:: Weinmann, Riley
Abstract:: Just off the coast of the Pacific Northwest lies the Cascadia Subduction Zone (CSZ); odds of a very large CSZ earthquake occurring in the next 50 years is estimated to be about 37%. A CSZ seismic event has the potential to cause wide scale damage not just to the power...
Resource Type:: Masters Thesis

Local and Global Explanations for Deep Image Classification via Structured Attention Graphs

Creator:: Shitole, Vivswan
Abstract:: Attention maps are popular tools of explaining the decisions of convolutional neural net-works (CNNs) for image classification. Typically, for each image of interest, a single attention map is produced, which assigns weights to pixels based on their importance to the classification. We argue that a single attention map provides an...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

Interactive visualization of diversity in multivariate data sets unified across fields of study

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Improving User Mental Models of XAI Systems with Inclusive Design Approaches

Failure-resilient congestion-aware load balancing protocol for three-tier clos data centers

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

Information Theoretical Analysis of Self-Similar Trees

Power System Resilience Following a Cascadia Subduction Zone Earthquake

Local and Global Explanations for Deep Image Classification via Structured Attention Graphs

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