Index Catalog // ScholarsArchive@OSU

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
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Jonathan E

Visual object discovery and understanding

Creator:: Yuan, Jialin
Abstract:: Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
Resource Type:: Dissertation
Full Text:: information but also offers a plethora of potential applications, like augmented reality, e-commerce, and

Interpretable Machine Learning: Applications in Biology and Genomics

Creator:: Danaee, Padideh
Abstract:: Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
Resource Type:: Dissertation
Full Text:: highly e↵ective for de- tecting and classifying biological sequences, challenges remain in extracting

Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

Creator:: Moissinac, Béatrice
Abstract:: Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for selfish agents to manipulate the system for their own interest at the expense of the social welfare. Such manipulation can be prevented using the Vickrey-Clarke-Groves...
Resource Type:: Masters Thesis
Full Text:: the work by W. Brian Arthur in 1994 [4]. It describes a finite population which wants to go to the El

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
Full Text:: activations of units in the encoding layer. We represent a QBN via a continuous multilayer encoder E, which

Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

Creator:: Anderson, Michael M.
Abstract:: Physical activity recognition using accelerometer data is a rapidly emerging ﬁeld with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...
Resource Type:: Masters Thesis
Full Text:: 0.005 0.01 0.05 0.1 0 20 40 60 80 100 False Positives / s D et ec tio n T im e (s

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
Full Text:: . . . . . . . . . . . . . . . 101 D Our Implementation of KLR . . . . . . . . . . . . . . . . . . . . . . . 102 E Parameterizing

Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV 136Xe+26, Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV ¹³⁶Xe⁺²⁶

Creator:: Sadi, Supriyadi
Abstract:: Microstructure changes in uranium and uranium/metal alloys due to radiation damage are of great interest in nuclear science and engineering. Titanium has attracted attention because of its similarity to Zr. It has been proposed for use in the second generation of fusion reactors due to its resistance to radiation-induced swelling....
Resource Type:: Dissertation
Full Text:: . Scott A. Menn and James E. Darrough in the Radiation Center who handle shipping the target materials

Coordination for Scalable Multiple Robot Planning Under Temporal Uncertainty

Creator:: Marcon dos Santos, Gilberto
Abstract:: This dissertation incorporates coalition formation and probabilistic planning towards a domain-independent automated planning solution scalable to multiple heterogeneous robots in complex domains. The first research direction investigates the effectiveness of Task Fusion and introduces heuristics that improve task allocation and result in better quality plans, while requiring lower computational cost...
Resource Type:: Dissertation

Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping

Creator:: Curran, William
Abstract:: Air traffic flow management over the U.S. airpsace is a difficult problem. Current management approaches lead to hundreds of thousands of hours of delay, costing billions of dollars annually. Weather and airport conditions may instigate this delay, but routing decisions balancing delay with congestion contribute significantly to the propagation of...
Resource Type:: Masters Thesis
Full Text:: problems arise as in the static environment [42]. In action-value learning agents enforce E-greedy

ScholarsArchive@OSU

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

Visual object discovery and understanding

Interpretable Machine Learning: Applications in Biology and Genomics

Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV 136Xe+26, Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV ¹³⁶Xe⁺²⁶

Coordination for Scalable Multiple Robot Planning Under Temporal Uncertainty

Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping

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