Phd Dissertation Computer Science

Simidchieva, Computer Science PDF Informed Search for Learning Causal Structure, Brian J.Taylor, Computer Science PDF Safe Reinforcement Learning, Philip S.

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Earlier instances of the courses do not cover the required training, and so cannot be used.) Note: Each of the lines above must be interpreted as an individual, distinct, constraint so that all constraints have to be simultaneously satisfied.

The columns are not meant to "add up", i.e., 30 6 3 is obviously not equal to 30.

To fulfill requirements for the Thesis option, students must satisfy the breadth requirement, adhere to an appropriate credit distribution, enroll in the graduate seminar, comply with the ethics and diversity requirements, and complete an oral and written final exam (also known as a Master's Thesis).

To encourage Masters graduates to exhibit sufficient breadth of computer science areas, MS Thesis students must take CS courses at the 50 levels that span four (4) different areas. The Graduate School requires that all graduate students satisfy two sets of requirements: one addressing training in Scholarly Ethics and Integrity, and one addressing Inclusion and Diversity.

Phan, Computer Science PDF Specification and Analysis of Resource Utilization Policies for Human-Intensive Systems, Seung Yeob Shin, Computer Science PDF Intrinsically Motivated Exploration in Hierarchical Reinforcement Learning, Christopher M.

Vigorito, Computer Science PDF Stochastic Network Design: Models and Scalable Algorithms, Xiaojian Wu, Computer Science PDF Leveraging Backscatter for Ultra-low Power Wireless Sensing Systems, PENGYU ZHANG, Computer Science PDF Shape Design and Optimization for 3D Printing, Yahan Zhou, Computer Science PDF Reconstructing Geometric Structures from Combinatorial and Metric Information, Md Ashraful Alam, Computer Science PDF An Analysis of Student Learning Strategies in High Enrollment Computer-Based College Courses, gordon c.NYU Poly students have access to a broad range of research tools and a huge volume of literature in all areas of Computer Science and Engineering.This guide is designed to help you decide what kind of resources you need and to introduce you to the best tools and strategies for finding them.The CS Department also requires students to take a minimum number of instances of CS5944 Graduate Seminar.Students entering the program in Summer 2019 or after must do the following.PDF Network-aware energy saving techniques in cloud data centers, Motassem Al-Tarazi PDF Situation-oriented requirements engineering, Nimanthi Atukorala PDF The construction and applications of callback control flow graphs for event-driven and framework-based mobile apps, Danilo Dominguez Perez PDF Witness generation in existential CTL model checking, Chuan Jiang PDF Nonparametric curve estimation and applications, Yu Liu PDF Taking the lab on the road and bringing the road to the lab: On using mixed-methods and virtual reality to study a location-based task, Kofi Whitney PDF Toward efficient online scheduling for large-scale distributed machine learning system, Menglu Yu PDF Medical image classification under class imbalance, Chuanhai Zhang PDF Automatic incident detection, Lakshay Ahuja PDF Enhancing users' experiences with mobile app stores: What do users see? Stull PDF The design and implementation of Candoia: A platform for building and sharing mining software repositories tools as apps, Nitin Mukesh Tiwari PDF Learning Markov Logic Network Structure by Template Constructing, Yingbei Tong PDF Computational modeling of impact and deformation, Feifei Wang PDF Execution and authentication of function queries, Guolei Yang PDF A situation-centric, knowledge-driven requirements elicitation approach, Jingwei Yang PDF Syntax errors identification from compiler error messages using ML techniques, Shubham K. Asiri PDF Disrupting diffusion: Critical nodes in network, Preeti Bhardwaj PDF Recognition of activities of daily living, Yunfei Feng PDF A data-driven situation-aware framework for predictive analysis in smart environments, Hoda Gholami PDF Effectiveness of classification approach in recovering pairwise causal relations from data., Kristima Guha Thakurta PDF A study of interpretability mechanisms for deep networks, Apurva Dilip Kokate PDF Large-scale study of substitutability in the presence of effects, Jackson Lowell Maddox PDF Towards efficient and accountable oblivious cloud storage, Qiumao Ma PDF Improved triangle counting in graph streams: Neighborhood multi-sampling, Kiana Mousavi Hanjani PDF High performance computing applications: Inter-process communication, workflow optimization, and deep learning for computational nuclear physics, Gianina Alina Negoita PDF Data augmentation for supervised learning with generative adversarial networks, Manaswi Podduturi PDF Graph compression using heuristic-based reordering, Pavithra Rajarathinam PDF Collective program analysis, Ganesha Upadhyaya PDF Graph Track: An unsupervised graph-based cross-device tracking framework, Tianchen Zhou PDF Improving testing performance by dynamic prioritization of tests based on method invocation orders, Sriram Balasubramanian PDF Computer detection of spatial visualization in a location-based task, Georgi Iliev Batinov PDF A User Configurable B-tree Implementation as a Utility, Sheng Bi PDF Devices for safety-critical molecular programmed systems, Samuel Jay Ellis PDF A testbed for multi-robot systems, Tianshuang Gao PDF Many-to-one private set intersection, Keji Hu PDF Parity-based Data Outsourcing: Extension, Implementation, and Evaluation, Zhenbi Hu PDF Computing change of invariants to support software evolution, Ashwin Kallingal Joshy PDF Triangle counting in graph streams: Power of multi-sampling, Neeraj Kavassery Parakkat PDF Exploiting implicit belief to resolve sparse usage problem in usage-based specification mining, Samantha Syeda Khairunnesa PDF Synthesizing species trees from gene trees using the parameterized and graph-theoretic approaches, Ju Cheol Moon PDF Verification of Well-formedness in Message-Passing Asynchronous Systems modeled as Communicating Finite-State Machines, Shiva Shankar Nalla PDF Negotiation Based Resource Allocation to Control Information Diffusion, Sai Sravanthi Nudurupati PDF Flattening methods for adaptive location-based software to user abilities, Thitivatr Patanasakpinyo PDF λir : A language with intensional receive, Swarn Priya PDF A hybrid approach for selecting and optimizing graph traversal strategy for analyzing big code, Ramanathan Ramu PDF Targeted Influence Maximization In Labeled Social Networks with Non-Target Constraints, Naresh Somisetty PDF Algorithmic randomness and analysis, Donald M. Currently, only theses since 1999 are available, but earlier theses may be added to the index later. Theses produced by students in the CSSE department.Lanighan, Computer Science PDF DATA-DRIVEN APPROACH TO IMAGE CLASSIFICATION, Venkatesh Narasimha Murthy, Computer Science PDF MACHINE LEARNING METHODS FOR PERSONALIZED HEALTH MONITORING USING WEARABLE SENSORS, Annamalai Natarajan, Computer Science PDF Efficient Probabilistic Reasoning Using Partial State-Space Exploration, Luis Pineda, Computer Science PDF Allocative Poisson Factorization for Computational Social Science, Aaron Schein, Computer Science PDF Learning with Aggregate Data, TAO SUN, Computer Science PDF Modeling Temporal Structures in Time-varying Networks, Kun Tu, Computer Science PDF Massive Graph Analysis in the Data Stream Model, Sofya Vorotnikova, Computer Science PDF Improving and understanding data quality in large-scale data systems, Xiaolan Wang, Computer Science PDF Abstractions in Reasoning for Long-Term Autonomy, Kyle Hollins Wray, Computer Science PDF Machine Learning Methods for Activity Detection in Wearable Sensor Data Streams, Roy Adams, Computer Science PDF Transfer Learning with Mixtures of Manifolds, Thomas Boucher, Computer Science PDF RUN-TIME PROGRAM PHASE DETECTION AND PREDICTION, Meng-Chieh Chiu, Computer Science PDF A Study of High Performance Multiple Precision Arithmetic on Graphics Processing Units, Niall Emmart, Computer Science PDF Integration of Robotic Perception, Action, and Memory, Li Yang Ku, Computer Science PDF Leveraging Eye Structure and Motion to Build a Low-Power Wearable Gaze Tracking System, Addison Mayberry, Computer Science PDF Using Latent Variable Models to Improve Causal Estimation, Huseyin Oktay, Computer Science PDF Supporting Scientific Analytics under Data Uncertainty and Query Uncertainty, Liping Peng, Computer Science PDF Transiency-driven Resource Management for Cloud Computing Platforms, Prateek Sharma, Computer Science PDF Righting Web Development, John Vilk, Computer Science PDF Data Stream Algorithms for Large Graphs and High Dimensional Data, Hoa Vu, Computer Science PDF Method for Enabling Causal Inference in Relational Domains, David Arbour, Computer Science PDF Problems in Graph-Structured Modeling and Learning, James Atwood, Computer Science PDF Spreadsheet Tools for Data Analysts, Daniel W.Barowy, Computer Science PDF Deep Energy-Based Models for Structured Prediction, David Belanger, Computer Science PDF Graph Construction for Manifold Discovery, CJ Carey, Computer Science PDF Automatic Derivation of Requirements for Components Used in Human-Intensive Systems, Heather Conboy, Computer Science PDF DESIGN, ANALYSIS AND OPTIMIZATION OF CACHE SYSTEMS, Mostafa Dehghan Shirehpaz, Computer Science PDF Controversy Analysis and Detection, Shiri Dori-Hacohen, Computer Science PDF DEEP-LEARNED GENERATIVE REPRESENTATIONS OF 3D SHAPE FAMILIES, Haibin Huang, Computer Science PDF On Leveraging Multi-Path Transport in Mobile Networks, Yeon-sup Lim, Computer Science PDF Inference in Networking Systems with Designed Measurements, Chang Liu, Computer Science PDF Style-driven Shape Analysis and Synthesis, Zhaoliang Lun, Computer Science PDF Temporal and Relational Models for Causality: Representation and Learning, Katerina Marazopoulou, Computer Science PDF The Complexity of Resilience, Cibele Matos Freire, Computer Science PDF Knowledge Representation and Reasoning with Deep Neural Networks, Arvind Ramanathan Neelakantan, Computer Science PDF Belief-Space Planning for Resourceful Manipulation and Mobility, Dirk Ruiken, Computer Science PDF Database Usability Enhancement in Data Exploration, Yue Wang, Computer Science PDF HIGH-PERFORMANCE COMPLEX EVENT PROCESSING FOR DECISION ANALYTICS, Haopeng Zhang, Computer Science PDF Effective Performance Analysis and Debugging, Charles M.

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