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Spring 2024

Talebirad, Yashar

The representation of real-world relationships and entities through nodes and edges in a network has found wide applicability across diverse scientific fields. At the core of network analysis are the tasks of community detection and community search, which aim to identify distinct groups within a...

Fall 2020

Herman, Ashley

Gamification is becoming widely adopted as a way of making applications fun and engaging, in order to motivate adoption and use. Despite its popularity, the question of whether gamification actually has any effect on user motivation remains open [1]. For many years, video game designers have...

Fall 2019

Chowdhury, Shaiful Alam

Software energy efficiency has become a concern for the scale of operations in data centers and for the availability of battery-driven mobile devices. Developers now consider energy efficiency as one of the performance metrics. Unfortunately, developers are not trained enough and do not know how...

Fall 2022

Aziz, Talha I

A cyber-physical system (CPS) is composed of interacting physical and computational components. CPS research addresses the combined sensing and actuating to monitor and control a CPS. Simulation techniques are used in advance of costly CPS deployments to provide sufficient understanding of the...

Fall 2015

Roy, Ankush

Object tracking is a much researched subject in the computer vision community. With more and more tracking algorithms reported every year, standard benchmarking and evaluation methods are reported for long term tracking systems. We present a public dataset to evaluate trackers used for human and...

Fall 2019

Huang,Chenyang

Dialogue systems, also known as Conversational Agent (CA), are designed to mimic coherent conversations with humans. Most conversational agents are specialized for a specific domain such as travel booking and are typically finite state-based or template-based. Open domain dialogue systems have...

Spring 2023

Farruque, Nawshad

Traditional survey based methods for clinical depression detection are not always effective; the patient may not reflect their actual mental health condition because of the cognitive bias exhibited while filling out questionnaires about depression. Established through ample earlier work, social...

Fall 2018

Xu, Peng

Information extraction (IE) is one of the most important technologies in the information age. Applying information extraction to text is linked to the prob- lem of text simplification in order to create a structured view of the informa- tion present in free text. However, information extraction...

Spring 2024

Liu, Vincent

Offline reinforcement learning (RL) involves learning policies from datasets, rather than online interaction. The dissertation first investigates a critical component in offline RL: offline policy selection (OPS). Given that most offline RL algorithms require careful hyperparameter tuning, we...

Spring 2016

Ramirez, Oscar A

When controlling dynamic systems such as robots a big challenge lies in defining how the desired actions will be accomplished. In industrial settings automation has been possible due to the structured and predictable environments. The repeatability of the tasks makes it viable to manually...