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Filtering by: Creator Ocamb, Cynthia M. Remove constraint Creator: Ocamb, Cynthia M. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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The InclusiveMag Method: A Start Towards More Inclusive Software for Diverse Populations

Creator:

Mendez, Christopher

Abstract:

How can software practitioners assess whether their software supports diverse users? Although there are empirical processes that can be used to find “inclusivity bugs” piecemeal, what is often needed is a systematic inspection method to assess software’s support for diverse populations. To help fill this gap, this thesis introduces InclusiveMag,...

Resource Type:

Masters Thesis

Full Text:

Abstract approved: ______________________________________________________ Margaret M. Burnett
Mental Models of Mere Mortals with Explanations of Reinforcement Learning

Creator:

Anderson, Andrew A.

Abstract:

How should reinforcement learning (RL) agents explain themselves to humans not trained in AI? To gain insights into this question, we conducted a 124 participant, four-treatment experiment to compare participants’ mental models of an RL agent in the context of a simple Real-Time Strategy (RTS) game. The four treatments isolated...

Resource Type:

Masters Thesis

Full Text:

Mere Mortals with Explanations of Reinforcement Learning Abstract approved: Margaret M. Burnett How
Applying the Technology Acceptance Model to Understand the Intention to Use a CS-based Curriculum

Creator:

Gupta, Ayushi

Abstract:

In the ever-evolving field of computer science (CS) education, the significance of teachers and their backgrounds have often been overshadowed by the predominant focus on students. Teachers in the K-12 often lack the necessary expertise and have limited support provided by existing CS-based curricula. While research on CS education effectiveness...

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

Full Text:

. . . . . . . . . . . . 180 M Data Appendix - CNNs poisoned by perception/action . . . . . . . . . . . . 182 TABLE OF
Exploratory Study to Uncover Student Mental Models of Singly Linked Lists in the C Programming Language

Creator:

Almadhoun, Eman

Abstract:

In computer science, learning abstract fundamental programming concepts requiring students to understand memory management can be very difficult and lead to misunderstandings that carry on into advanced topics. This is especially true in data structures with abstract data types. Understanding how novice students think and reason about data structures is...

Resource Type:

Dissertation

Full Text:

. . . . . . . . . . . . . . . . . . . 41 4.4 Spatial Visualization Test Score. Note that N is the sample size, M is the mean, Min. is the
Random access machine in secure multi-party computation

Creator:

Hu, Zhangxiang

Abstract:

Secure multi-party computation (MPC) is a conceptual framework in cryptography. It allows distrusting parties engage in a protocol to perform a computational task while still maintain some secure properties. Most existing approaches are required to interpret functions as a boolean circuit. With the recent state-of-art circuit garbling scheme, the performance...

Resource Type:

Masters Thesis

Full Text:

prover holds a large dataset M and can repeatedly prove NP relations about that dataset. This system
Information-theoretic Approach to Design and Evaluate Privacy-preserving and Fair Frameworks for Continuous High-dimensional Data

Creator:

Alsulaimawi, Zahir Ahmed Hussein

Abstract:

Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them. Further, there have been concerns about the possibility of bias and discrimination in predictive applications. In order to address these issues, we propose an...

Resource Type:

Dissertation

Full Text:

of training iterations do 2: for k steps do • Sample minibatch of m noise samples { z(1), . . . ,z
Gender differences in robot teleoperation

Creator:

Showkat, Dilruba

Abstract:

Gender issues have recently received increased attention in human robot interaction (HRI). Because robots are becoming part of our homes and daily lives, it is important to understand how different groups of people use them. To the best of our knowledge, almost no research has been done that investigates gender...

Resource Type:

Masters Thesis
High-Dimensional Reinforcement Learning with Human Feedback

Creator:

Curran, William

Abstract:

State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...

Resource Type:

Dissertation
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

Full Text:

) Pixel-level probability Sn,mip,jp ; (b) Voronoi-based probability S n,m p for the example image in

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Academic Affiliation

Electrical Engineering and Computer Science[remove]28
Mechanical, Industrial, and Manufacturing Engineering1

Advisor

Burnett, Margaret M.3
Dietterich, Thomas G.3
Li, Fuxin3
Parham Mocello, Jennifer2
Bailey, Michael1
more Advisors »

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2009 to 2024

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Committee Member

Fern, Alan6
Tadepalli, Prasad4
Burnett, Margaret3
Li, Fuxin3
Sarma, Anita3
more Committee Members »

Creator

Khorram, Saeed2
Almadhoun, Eman1
Almurshed, Rana1
Alsulaimawi, Zahir Ahmed Hussein1
Anderson, Andrew A.1
more Creators »

Contributor

Fu, Xiao1
Li, Fuxin1
Qi, Zhongang1
Raich, Raviv1

Date

Date range begin – Date range end

Current results range from 2008 to 2023

View distribution

Decade

2020-202914
2010-201913
2000-20091

Degree Field

Computer Science23
Electrical and Computer Engineering5
Robotics1

Degree Level

Doctoral18
Master's10

Degree Name

Doctor of Philosophy (Ph.D.)18
Master of Science (M.S.)10

Language

English [eng]28

License

All rights reserved28

Non-Academic Affiliation

Oregon State University. Graduate School9

Peer Reviewed

No28

Resource Type

Dissertation18
Masters Thesis10

Rights Statement

In Copyright[remove]28

Subject

Biodiversity -- Statistical methods1
Birds -- Ecology -- Data processing1
Birds -- Migration -- Mathematical models1
Birdsongs -- Data processing1
Cluster analysis1
more Subjects »

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