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Filtering by: Creator Anderson, Hubert Waterbury Remove constraint Creator: Anderson, Hubert Waterbury Committee Member Fern, Alan Remove constraint Committee Member: Fern, Alan License All rights reserved Remove constraint License: All rights reserved

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Decentralized Multi-Robot Exploration with Sparse Communication through Deep Imitation Learning

Creator:

Senewiratne, Yomal K.

Abstract:

We present a method for decentralized, multi-robot exploration in adverse environments where communication is minimal. A key conceptual feature of our method is enabling implicit coordination between robots by training a Convolutional Neural Network (CNN) as a heuristic for planning using Monte Carlo Tree Search (MCTS). Our method consists of...

Resource Type:

Masters Thesis
Activity recognition in desktop environments

Creator:

Shen, Jianqiang

Abstract:

Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...

Resource Type:

Dissertation
Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

Creator:

Zemicheal, Tadesse H.

Abstract:

Advances in sensor technology are greatly expanding the range of quantities that can be measured while simultaneously reducing the cost. However, deployed sensors drift out of calibration and fail, so every sensor network requires quality control procedures to promptly detect these failures. To address these problems, we propose a two-level...

Resource Type:

Dissertation
Characterizing and Addressing Dataset Shift with Deep Learning

Creator:

Olson, Matthew L.

Abstract:

This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...

Resource Type:

Dissertation
Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis

Creator:

Khorram, Saeed

Abstract:

The advancement of artificial intelligence (AI) has led to transformative developments across multiple sectors, fostering innovation and redefining our interactions with technology. As AI matures and becomes integrated into society, it offers numerous opportunities to address global challenges and revolutionize a wide array of human endeavors. These advances are driven...

Resource Type:

Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science4

Advisor

Dietterich, Thomas G.2
Hollinger, Geoffrey A.1
Li, Fuxin1
Wong, Weng Keen1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2009 to 2023

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Committee Member

Fern, Alan[remove]5
Lee, Stefan2
He, Shan1
Herlocker, Jonathan1
Jaiswal, Pankaj1
more Committee Members »

Creator

Khorram, Saeed1
Olson, Matthew L.1
Senewiratne, Yomal K.1
Shen, Jianqiang1
Zemicheal, Tadesse H.1

Contributor

Anirudh, Rushil1
Bremer, Peer Timo1
Dixit, Gaurav1
Kahng, Minsuk1
Khanna, Roli1
more Contributors »

Date

Date range begin – Date range end

Current results range from 2009 to 2023

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Decade

2020-20294
2000-20091

Degree Field

Computer Science4
Artificial Intelligence1
Robotics1

Degree Level

Doctoral4
Master's1

Degree Name

Doctor of Philosophy (Ph.D.)4
Master of Science (M.S.)1

Language

English [eng]5

License

All rights reserved[remove]5

Non-Academic Affiliation

Oregon State University. Graduate School1

Peer Reviewed

No5

Resource Type

Dissertation4
Masters Thesis1

Rights Statement

In Copyright5

Subject

Artificial intelligence -- Mathematical models1
Computer vision -- Mathematical models1
Human activity recognition -- Data processing1
Machine learning1

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