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Fall 2011

Shi, Xiaoyu

This thesis work presents a novel and efficient circuit similarity algorithm to detect topological similarity between two circuits. Targeting placement, our proposed circuit similarity algorithm, namely CSBP, is able to significantly accelerate placement based on this similarity. Moreover,...

Fall 2016

Ahmed, Farrukh

Most data mining and machine learning techniques rely on a single flat table and assume balanced training data. However, most real-world applications comprise databases having multiple tables and imbalanced data. It becomes further complicated in the realm of Big Data where related information is...

Fall 2023

Sultana, Maliha

Recognizing dialog acts of users is an essential component in building successful conversational agents. In this work, we propose a dialog act (DA) classifier for two of our open domain conversational agents. For this, we curated a high-quality, multi-domain dataset with ∼24k user utterances...

Spring 2014

Quinn, Kevin Francis

Loneliness among the elderly is a growing problem in today's society. Many of them live in isolation either due to their ailments or losing loved ones. Measures need to be taken to improve the living condition of these people. We propose a system that engages in meaningful conversation with the...

Fall 2014

Wang, Baoliang

The classification of animal images based on camera trapping data is an important and challenging task in the domains of computer vision, machine learning and ecological management. This thesis presents an animal species identification system that can automatically identify the species of an...

Fall 2011

Hooshsadat, Metanat

Several research projects explore the application of uncertain databases which contain probabilistic attributes. Uncertainty in data can be caused by inherent randomness, imprecision in measuring equipment, ambiguity, information extraction from unstructured data, etc. The classification and...

Fall 2012

Thapa, Chaman

With the large presence of organizations from different sectors of economy on the web, the problem of detecting which sector a given website belongs to is both important and challenging. We study the problem of classifying websites into four non-topical categories: public, private, non-profit and...

Fall 2020

Zafarmand, Mohammadmahdi

Many structures in different areas of science can be modeled with graphs containing nodes and edges, which represent the entities of the model and the relationship between them, respectively. Community detection and discovery are two important tasks in Social Network Analysis, which try to find...

Spring 2019

Liu, Chang

With the burgeoning of online social media and the deluge of information in today's "big data" era, traditional community mining that relies on the connections of the nodes no longer suffices to find communities where the attributes of these nodes play an important role. Though vast research has...

Fall 2010

Chen, Jiyang

Much structured data of scientific interest can be represented as networks, where sets of nodes or vertices are joined together in pairs by links or edges. Although these networks may belong to different research areas, there is one property that many of them do have in common: the network...