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Filtering by: Creator Deng, Roy Committee Member Wong, Weng-Keen Degree Name Master of Science (M.S.)

On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

Creator:

Roth, Mark

Abstract:

This paper discusses opportunities for developments in spatial clustering methods to help leverage broad scale community science data for building species distribution models (SDMs). SDMs are critical tools that inform the science and policy needed to mitigate the impacts of climate change on biodiversity. Community science data span spatial and...

Resource Type:

Capstone Project
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
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

Creator:

Ibrahim, Shahana

Abstract:

Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by eﬀectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying eﬀective crowdsourcing methods for many years, and many models and...

Resource Type:

Masters Thesis