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Dept: Computer Science

You searched for publisher:"Lehigh University". Showing records 1 – 30 of 195 total matches.

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Lehigh University

1. Bicher, Devan L. A Volumetric Survey of Focusing and Electrostatic Contributions to Protein RNA Interactions.

Degree: MS, Computer Science, 2015, Lehigh University

 Electrostatic focusing has been shown to be a major component in DNA to protein interfaces. Since ribonucleic acid molecules are notoriously less consistent and uniform… (more)

Subjects/Keywords: Electrostatic; Focusing; Protein; ribonucleic acid; RNA; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bicher, D. L. (2015). A Volumetric Survey of Focusing and Electrostatic Contributions to Protein RNA Interactions. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2516

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bicher, Devan L. “A Volumetric Survey of Focusing and Electrostatic Contributions to Protein RNA Interactions.” 2015. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2516.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bicher, Devan L. “A Volumetric Survey of Focusing and Electrostatic Contributions to Protein RNA Interactions.” 2015. Web. 03 Jul 2020.

Vancouver:

Bicher DL. A Volumetric Survey of Focusing and Electrostatic Contributions to Protein RNA Interactions. [Internet] [Thesis]. Lehigh University; 2015. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2516.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bicher DL. A Volumetric Survey of Focusing and Electrostatic Contributions to Protein RNA Interactions. [Thesis]. Lehigh University; 2015. Available from: https://preserve.lehigh.edu/etd/2516

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

2. Chen, Jin. Information Preserving Processing of Noisy Handwritten Document Images.

Degree: PhD, Computer Science, 2015, Lehigh University

 Many pre-processing techniques that normalize artifacts and clean noise induce anomalies due to discretization of the document image. Important information that could be used at… (more)

Subjects/Keywords: Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Chen, J. (2015). Information Preserving Processing of Noisy Handwritten Document Images. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2549

Chicago Manual of Style (16th Edition):

Chen, Jin. “Information Preserving Processing of Noisy Handwritten Document Images.” 2015. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2549.

MLA Handbook (7th Edition):

Chen, Jin. “Information Preserving Processing of Noisy Handwritten Document Images.” 2015. Web. 03 Jul 2020.

Vancouver:

Chen J. Information Preserving Processing of Noisy Handwritten Document Images. [Internet] [Doctoral dissertation]. Lehigh University; 2015. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2549.

Council of Science Editors:

Chen J. Information Preserving Processing of Noisy Handwritten Document Images. [Doctoral Dissertation]. Lehigh University; 2015. Available from: https://preserve.lehigh.edu/etd/2549

3. Dannenhauer, Dustin. Self Monitoring Goal Driven Autonomy Agents.

Degree: PhD, Computer Science, 2017, Lehigh University

 The growing abundance of autonomous systems is driving the need for robust performance. Most current systems are not fully autonomous and often fail when placed… (more)

Subjects/Keywords: Autonomy; Cognitive Architecture; Expectations; Goal Reasoning; Metareasoning; Planning; Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Dannenhauer, D. (2017). Self Monitoring Goal Driven Autonomy Agents. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2564

Chicago Manual of Style (16th Edition):

Dannenhauer, Dustin. “Self Monitoring Goal Driven Autonomy Agents.” 2017. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2564.

MLA Handbook (7th Edition):

Dannenhauer, Dustin. “Self Monitoring Goal Driven Autonomy Agents.” 2017. Web. 03 Jul 2020.

Vancouver:

Dannenhauer D. Self Monitoring Goal Driven Autonomy Agents. [Internet] [Doctoral dissertation]. Lehigh University; 2017. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2564.

Council of Science Editors:

Dannenhauer D. Self Monitoring Goal Driven Autonomy Agents. [Doctoral Dissertation]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2564


Lehigh University

4. Denizov, Sheyn. Analyzing the Impact of Concurrency on Scaling Machine Learning Programs Using TensorFlow.

Degree: MS, Computer Science, 2017, Lehigh University

 In recent times, computer scientists and technology companies have quickly begun to realize that machine learning and creating computer software that is capable of reasoning… (more)

Subjects/Keywords: Artificial Intelligence; Concurrency; Machine Learning; TensorFlow; Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Denizov, S. (2017). Analyzing the Impact of Concurrency on Scaling Machine Learning Programs Using TensorFlow. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2570

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Denizov, Sheyn. “Analyzing the Impact of Concurrency on Scaling Machine Learning Programs Using TensorFlow.” 2017. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2570.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Denizov, Sheyn. “Analyzing the Impact of Concurrency on Scaling Machine Learning Programs Using TensorFlow.” 2017. Web. 03 Jul 2020.

Vancouver:

Denizov S. Analyzing the Impact of Concurrency on Scaling Machine Learning Programs Using TensorFlow. [Internet] [Thesis]. Lehigh University; 2017. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2570.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Denizov S. Analyzing the Impact of Concurrency on Scaling Machine Learning Programs Using TensorFlow. [Thesis]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2570

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

5. Kafka, Adam. Caption Aided Action Recognition Using Single Images.

Degree: MS, Computer Science, 2017, Lehigh University

 In this paper, we attack the problem of classifying human actions from a single, static image. We propose that leveraging an automatic caption generator for… (more)

Subjects/Keywords: action; caption; classification; CNN; LSTM; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kafka, A. (2017). Caption Aided Action Recognition Using Single Images. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2653

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kafka, Adam. “Caption Aided Action Recognition Using Single Images.” 2017. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2653.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kafka, Adam. “Caption Aided Action Recognition Using Single Images.” 2017. Web. 03 Jul 2020.

Vancouver:

Kafka A. Caption Aided Action Recognition Using Single Images. [Internet] [Thesis]. Lehigh University; 2017. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2653.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kafka A. Caption Aided Action Recognition Using Single Images. [Thesis]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2653

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

6. Liu, Yujie. Crafting Concurrent Data Structures.

Degree: PhD, Computer Science, 2015, Lehigh University

 Concurrent data structures lie at the heart of modern parallel programs. The design and implementation of concurrent data structures can be challenging due to the… (more)

Subjects/Keywords: Concurrent data structures; Hash tables; Linked lists; Lock-freedom; Priority queues; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, Y. (2015). Crafting Concurrent Data Structures. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2690

Chicago Manual of Style (16th Edition):

Liu, Yujie. “Crafting Concurrent Data Structures.” 2015. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2690.

MLA Handbook (7th Edition):

Liu, Yujie. “Crafting Concurrent Data Structures.” 2015. Web. 03 Jul 2020.

Vancouver:

Liu Y. Crafting Concurrent Data Structures. [Internet] [Doctoral dissertation]. Lehigh University; 2015. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2690.

Council of Science Editors:

Liu Y. Crafting Concurrent Data Structures. [Doctoral Dissertation]. Lehigh University; 2015. Available from: https://preserve.lehigh.edu/etd/2690


Lehigh University

7. Louie, Stephen Robert. Speculative Parallelism and Transactional Memory Algorithms in TBB and LIBITM.

Degree: MS, Computer Science, 2015, Lehigh University

 This paper implemented four transactional memory algorithms, one hardware transaction algorithm and three software transaction algorithms. The goal of this research was to investigate the… (more)

Subjects/Keywords: LIBITM; Speculative Parallelism; TBB; Transactional Memory; Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Louie, S. R. (2015). Speculative Parallelism and Transactional Memory Algorithms in TBB and LIBITM. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2695

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Louie, Stephen Robert. “Speculative Parallelism and Transactional Memory Algorithms in TBB and LIBITM.” 2015. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2695.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Louie, Stephen Robert. “Speculative Parallelism and Transactional Memory Algorithms in TBB and LIBITM.” 2015. Web. 03 Jul 2020.

Vancouver:

Louie SR. Speculative Parallelism and Transactional Memory Algorithms in TBB and LIBITM. [Internet] [Thesis]. Lehigh University; 2015. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2695.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Louie SR. Speculative Parallelism and Transactional Memory Algorithms in TBB and LIBITM. [Thesis]. Lehigh University; 2015. Available from: https://preserve.lehigh.edu/etd/2695

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

8. Niu, Ben. Practical Control-Flow Integrity.

Degree: PhD, Computer Science, 2016, Lehigh University

 Control-Flow Integrity (CFI) is effective at defending against prevalent control-flow hijacking attacks. CFI extracts a control-flow graph (CFG) for a given program and instruments the… (more)

Subjects/Keywords: Control-Flow Integrity; Efficiency; Fine-grained CFG; Interoperability; Modularity; Practicality; Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Niu, B. (2016). Practical Control-Flow Integrity. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2745

Chicago Manual of Style (16th Edition):

Niu, Ben. “Practical Control-Flow Integrity.” 2016. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2745.

MLA Handbook (7th Edition):

Niu, Ben. “Practical Control-Flow Integrity.” 2016. Web. 03 Jul 2020.

Vancouver:

Niu B. Practical Control-Flow Integrity. [Internet] [Doctoral dissertation]. Lehigh University; 2016. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2745.

Council of Science Editors:

Niu B. Practical Control-Flow Integrity. [Doctoral Dissertation]. Lehigh University; 2016. Available from: https://preserve.lehigh.edu/etd/2745


Lehigh University

9. Ruan, Wenjia. Accelerating Transactional Memory by Exploiting Platform Specificity.

Degree: PhD, Computer Science, 2015, Lehigh University

 Transactional Memory (TM) is one of the most promising alternatives to lock-based concurrency, but there still remain obstacles that keep TM from being utilized in… (more)

Subjects/Keywords: Algorithm; Concurrent Programming; Latency; Scalability; Synchronization; Transactional Memory; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ruan, W. (2015). Accelerating Transactional Memory by Exploiting Platform Specificity. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2786

Chicago Manual of Style (16th Edition):

Ruan, Wenjia. “Accelerating Transactional Memory by Exploiting Platform Specificity.” 2015. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2786.

MLA Handbook (7th Edition):

Ruan, Wenjia. “Accelerating Transactional Memory by Exploiting Platform Specificity.” 2015. Web. 03 Jul 2020.

Vancouver:

Ruan W. Accelerating Transactional Memory by Exploiting Platform Specificity. [Internet] [Doctoral dissertation]. Lehigh University; 2015. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2786.

Council of Science Editors:

Ruan W. Accelerating Transactional Memory by Exploiting Platform Specificity. [Doctoral Dissertation]. Lehigh University; 2015. Available from: https://preserve.lehigh.edu/etd/2786


Lehigh University

10. Schwesinger, Dylan. 3D Perception Based Lifelong Navigation of Service Robots in Dynamic Environments.

Degree: PhD, Computer Science, 2016, Lehigh University

 Lifelong navigation of mobile robots is to ability to reliably operate over extended periods of time in dynamically changing environments. Historically, computational capacity and sensor… (more)

Subjects/Keywords: Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Schwesinger, D. (2016). 3D Perception Based Lifelong Navigation of Service Robots in Dynamic Environments. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2797

Chicago Manual of Style (16th Edition):

Schwesinger, Dylan. “3D Perception Based Lifelong Navigation of Service Robots in Dynamic Environments.” 2016. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2797.

MLA Handbook (7th Edition):

Schwesinger, Dylan. “3D Perception Based Lifelong Navigation of Service Robots in Dynamic Environments.” 2016. Web. 03 Jul 2020.

Vancouver:

Schwesinger D. 3D Perception Based Lifelong Navigation of Service Robots in Dynamic Environments. [Internet] [Doctoral dissertation]. Lehigh University; 2016. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2797.

Council of Science Editors:

Schwesinger D. 3D Perception Based Lifelong Navigation of Service Robots in Dynamic Environments. [Doctoral Dissertation]. Lehigh University; 2016. Available from: https://preserve.lehigh.edu/etd/2797


Lehigh University

11. Seip, Tyler. Explorations Using Extensions and Modifications to the Oppenheim et al. Model for Cumulative Semantic Interference.

Degree: MS, Computer Science, 2015, Lehigh University

 This thesis discusses extensions and modifications to a model of semantic interference originally introduced by Oppenheim et al. The first of the two networks presented… (more)

Subjects/Keywords: Competitive lexical selection; Cumulative semantic interference; Incremental learning; Neural network model; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Seip, T. (2015). Explorations Using Extensions and Modifications to the Oppenheim et al. Model for Cumulative Semantic Interference. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2799

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Seip, Tyler. “Explorations Using Extensions and Modifications to the Oppenheim et al. Model for Cumulative Semantic Interference.” 2015. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2799.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Seip, Tyler. “Explorations Using Extensions and Modifications to the Oppenheim et al. Model for Cumulative Semantic Interference.” 2015. Web. 03 Jul 2020.

Vancouver:

Seip T. Explorations Using Extensions and Modifications to the Oppenheim et al. Model for Cumulative Semantic Interference. [Internet] [Thesis]. Lehigh University; 2015. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2799.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Seip T. Explorations Using Extensions and Modifications to the Oppenheim et al. Model for Cumulative Semantic Interference. [Thesis]. Lehigh University; 2015. Available from: https://preserve.lehigh.edu/etd/2799

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

12. Yao, Jundong. Using Planning Landmarks to Control Camera Movement in DOTA 2 Games.

Degree: MS, Computer Science, 2015, Lehigh University

 This thesis introduces a new method for automatically finding important events from video game replays. We use these events to control the movement of the… (more)

Subjects/Keywords: Dota 2 game; Landmarks; Planning; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yao, J. (2015). Using Planning Landmarks to Control Camera Movement in DOTA 2 Games. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2895

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yao, Jundong. “Using Planning Landmarks to Control Camera Movement in DOTA 2 Games.” 2015. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2895.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yao, Jundong. “Using Planning Landmarks to Control Camera Movement in DOTA 2 Games.” 2015. Web. 03 Jul 2020.

Vancouver:

Yao J. Using Planning Landmarks to Control Camera Movement in DOTA 2 Games. [Internet] [Thesis]. Lehigh University; 2015. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2895.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yao J. Using Planning Landmarks to Control Camera Movement in DOTA 2 Games. [Thesis]. Lehigh University; 2015. Available from: https://preserve.lehigh.edu/etd/2895

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

13. Carter, Elizabeth Emily. An Intelligent Debugging Tutor For Novice Computer Science Students.

Degree: PhD, Computer Science, 2014, Lehigh University

 Debugging is a necessary aspect of computer science that can be difficult for novices and experienced programmers alike. This skill is mainly self-taught and is… (more)

Subjects/Keywords: Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Carter, E. E. (2014). An Intelligent Debugging Tutor For Novice Computer Science Students. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1447

Chicago Manual of Style (16th Edition):

Carter, Elizabeth Emily. “An Intelligent Debugging Tutor For Novice Computer Science Students.” 2014. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1447.

MLA Handbook (7th Edition):

Carter, Elizabeth Emily. “An Intelligent Debugging Tutor For Novice Computer Science Students.” 2014. Web. 03 Jul 2020.

Vancouver:

Carter EE. An Intelligent Debugging Tutor For Novice Computer Science Students. [Internet] [Doctoral dissertation]. Lehigh University; 2014. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1447.

Council of Science Editors:

Carter EE. An Intelligent Debugging Tutor For Novice Computer Science Students. [Doctoral Dissertation]. Lehigh University; 2014. Available from: https://preserve.lehigh.edu/etd/1447


Lehigh University

14. Coman, Alexandra. Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning.

Degree: PhD, Computer Science, 2013, Lehigh University

 Planning is a branch of Artificial Intelligence (AI) concerned with projecting courses of actions for executing tasks and reaching goals. AI Planning helps increase the… (more)

Subjects/Keywords: Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Coman, A. (2013). Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1459

Chicago Manual of Style (16th Edition):

Coman, Alexandra. “Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning.” 2013. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1459.

MLA Handbook (7th Edition):

Coman, Alexandra. “Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning.” 2013. Web. 03 Jul 2020.

Vancouver:

Coman A. Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning. [Internet] [Doctoral dissertation]. Lehigh University; 2013. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1459.

Council of Science Editors:

Coman A. Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning. [Doctoral Dissertation]. Lehigh University; 2013. Available from: https://preserve.lehigh.edu/etd/1459


Lehigh University

15. Dai, Na. Mining Web Dynamics for Search.

Degree: PhD, Computer Science, 2013, Lehigh University

 Billions of web users collectively contribute to a dynamic web that preserves how information sources and descriptions change over time. This dynamic process sheds light… (more)

Subjects/Keywords: document representation; learning to rank; search engines; web freshness; web link analysis; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dai, N. (2013). Mining Web Dynamics for Search. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1466

Chicago Manual of Style (16th Edition):

Dai, Na. “Mining Web Dynamics for Search.” 2013. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1466.

MLA Handbook (7th Edition):

Dai, Na. “Mining Web Dynamics for Search.” 2013. Web. 03 Jul 2020.

Vancouver:

Dai N. Mining Web Dynamics for Search. [Internet] [Doctoral dissertation]. Lehigh University; 2013. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1466.

Council of Science Editors:

Dai N. Mining Web Dynamics for Search. [Doctoral Dissertation]. Lehigh University; 2013. Available from: https://preserve.lehigh.edu/etd/1466


Lehigh University

16. Finestrali, Giulio. Stochastic Explanations: Learning From Mistakes In Stochastic Domains.

Degree: MS, Computer Science, 2013, Lehigh University

 Explaining anomalies in a stochastic environment is a complex task and a very active research field. In this thesis we present our contributions to this… (more)

Subjects/Keywords: Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Finestrali, G. (2013). Stochastic Explanations: Learning From Mistakes In Stochastic Domains. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1482

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Finestrali, Giulio. “Stochastic Explanations: Learning From Mistakes In Stochastic Domains.” 2013. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1482.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Finestrali, Giulio. “Stochastic Explanations: Learning From Mistakes In Stochastic Domains.” 2013. Web. 03 Jul 2020.

Vancouver:

Finestrali G. Stochastic Explanations: Learning From Mistakes In Stochastic Domains. [Internet] [Thesis]. Lehigh University; 2013. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1482.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Finestrali G. Stochastic Explanations: Learning From Mistakes In Stochastic Domains. [Thesis]. Lehigh University; 2013. Available from: https://preserve.lehigh.edu/etd/1482

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

17. Hatalis, Konstantinos. Computationally Modeling an Incremental Learning Account of Semantic Interference through Phonological Influence.

Degree: MS, Computer Science, 2013, Lehigh University

 Computer models play a vital role in providing ways to effectively simulate complex systems and to test scientific theories and hypotheses. One major area of… (more)

Subjects/Keywords: computer model; incremental learning; lexical retrieval; neural network; semantic interference; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hatalis, K. (2013). Computationally Modeling an Incremental Learning Account of Semantic Interference through Phonological Influence. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hatalis, Konstantinos. “Computationally Modeling an Incremental Learning Account of Semantic Interference through Phonological Influence.” 2013. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hatalis, Konstantinos. “Computationally Modeling an Incremental Learning Account of Semantic Interference through Phonological Influence.” 2013. Web. 03 Jul 2020.

Vancouver:

Hatalis K. Computationally Modeling an Incremental Learning Account of Semantic Interference through Phonological Influence. [Internet] [Thesis]. Lehigh University; 2013. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hatalis K. Computationally Modeling an Incremental Learning Account of Semantic Interference through Phonological Influence. [Thesis]. Lehigh University; 2013. Available from: https://preserve.lehigh.edu/etd/1503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Hong, Liangjie. Mining and Understanding Online Conversational media.

Degree: PhD, Computer Science, 2013, Lehigh University

 The social network-enhanced Web has become increasingly important. With a wide spectrum of social services such as blogs, wikis, online forums, social network services and… (more)

Subjects/Keywords: Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Hong, L. (2013). Mining and Understanding Online Conversational media. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1509

Chicago Manual of Style (16th Edition):

Hong, Liangjie. “Mining and Understanding Online Conversational media.” 2013. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1509.

MLA Handbook (7th Edition):

Hong, Liangjie. “Mining and Understanding Online Conversational media.” 2013. Web. 03 Jul 2020.

Vancouver:

Hong L. Mining and Understanding Online Conversational media. [Internet] [Doctoral dissertation]. Lehigh University; 2013. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1509.

Council of Science Editors:

Hong L. Mining and Understanding Online Conversational media. [Doctoral Dissertation]. Lehigh University; 2013. Available from: https://preserve.lehigh.edu/etd/1509


Lehigh University

19. Li, Siliang. Improving Quality of Software with Foreign Function Interfaces using Static Analysis.

Degree: PhD, Computer Science, 2014, Lehigh University

 A Foreign Function Interface (FFI) is a mechanism that allows software written in one host programming language to directly use another foreign programming language by… (more)

Subjects/Keywords: Foreign Function Interface; Language Interoperability; Programming Langauges; Software Engineering; Software Security; Static Analysis; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, S. (2014). Improving Quality of Software with Foreign Function Interfaces using Static Analysis. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1539

Chicago Manual of Style (16th Edition):

Li, Siliang. “Improving Quality of Software with Foreign Function Interfaces using Static Analysis.” 2014. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1539.

MLA Handbook (7th Edition):

Li, Siliang. “Improving Quality of Software with Foreign Function Interfaces using Static Analysis.” 2014. Web. 03 Jul 2020.

Vancouver:

Li S. Improving Quality of Software with Foreign Function Interfaces using Static Analysis. [Internet] [Doctoral dissertation]. Lehigh University; 2014. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1539.

Council of Science Editors:

Li S. Improving Quality of Software with Foreign Function Interfaces using Static Analysis. [Doctoral Dissertation]. Lehigh University; 2014. Available from: https://preserve.lehigh.edu/etd/1539


Lehigh University

20. Nalisnick, Eric Thomas. Automatic Methods for Tracking Sentiment Dynamics in Plays.

Degree: MS, Computer Science, 2013, Lehigh University

 An investigation into algorithms for generalized, dynamic sentiment tracking in natural language is reported. Little progress has been made in the automatic analysis of literary… (more)

Subjects/Keywords: Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nalisnick, E. T. (2013). Automatic Methods for Tracking Sentiment Dynamics in Plays. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1569

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nalisnick, Eric Thomas. “Automatic Methods for Tracking Sentiment Dynamics in Plays.” 2013. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1569.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nalisnick, Eric Thomas. “Automatic Methods for Tracking Sentiment Dynamics in Plays.” 2013. Web. 03 Jul 2020.

Vancouver:

Nalisnick ET. Automatic Methods for Tracking Sentiment Dynamics in Plays. [Internet] [Thesis]. Lehigh University; 2013. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1569.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nalisnick ET. Automatic Methods for Tracking Sentiment Dynamics in Plays. [Thesis]. Lehigh University; 2013. Available from: https://preserve.lehigh.edu/etd/1569

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

21. Phang, Daniel Wei-Shen. Intelligent Camera Control in Game Replays.

Degree: MS, Computer Science, 2014, Lehigh University

 In this thesis, we describe a new method for implementing intelligent automated camera control in spectator games, specifically in replays of the video game Dota… (more)

Subjects/Keywords: camera control; games; machine learning; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Phang, D. W. (2014). Intelligent Camera Control in Game Replays. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1591

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Phang, Daniel Wei-Shen. “Intelligent Camera Control in Game Replays.” 2014. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1591.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Phang, Daniel Wei-Shen. “Intelligent Camera Control in Game Replays.” 2014. Web. 03 Jul 2020.

Vancouver:

Phang DW. Intelligent Camera Control in Game Replays. [Internet] [Thesis]. Lehigh University; 2014. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1591.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Phang DW. Intelligent Camera Control in Game Replays. [Thesis]. Lehigh University; 2014. Available from: https://preserve.lehigh.edu/etd/1591

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

22. Song, Dezhao. Towards a Linked Semantic Web: Precisely, Comprehensively and Scalably Linking Heterogeneous Data in the Semantic Web.

Degree: PhD, Computer Science, 2014, Lehigh University

 The amount of Semantic Web data is growing rapidly today. Individual users, academic institutions and businesses have already published and are continuing to publish their… (more)

Subjects/Keywords: Domain Independence; Entity Coreference; Linked Data; Record Linkage; Scalability; Semantic Web; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Song, D. (2014). Towards a Linked Semantic Web: Precisely, Comprehensively and Scalably Linking Heterogeneous Data in the Semantic Web. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1634

Chicago Manual of Style (16th Edition):

Song, Dezhao. “Towards a Linked Semantic Web: Precisely, Comprehensively and Scalably Linking Heterogeneous Data in the Semantic Web.” 2014. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1634.

MLA Handbook (7th Edition):

Song, Dezhao. “Towards a Linked Semantic Web: Precisely, Comprehensively and Scalably Linking Heterogeneous Data in the Semantic Web.” 2014. Web. 03 Jul 2020.

Vancouver:

Song D. Towards a Linked Semantic Web: Precisely, Comprehensively and Scalably Linking Heterogeneous Data in the Semantic Web. [Internet] [Doctoral dissertation]. Lehigh University; 2014. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1634.

Council of Science Editors:

Song D. Towards a Linked Semantic Web: Precisely, Comprehensively and Scalably Linking Heterogeneous Data in the Semantic Web. [Doctoral Dissertation]. Lehigh University; 2014. Available from: https://preserve.lehigh.edu/etd/1634


Lehigh University

23. Yang, Zaihan. Mining and Analyzing the Academic Network.

Degree: PhD, Computer Science, 2014, Lehigh University

 Social Network research has attracted the interests of many researchers, not only in analyzing the online social networking applications, such as Facebook and Twitter, but… (more)

Subjects/Keywords: data mining; expertise ranking algorithm; information retrieval; machine learning; recommender systems; social network analysis; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, Z. (2014). Mining and Analyzing the Academic Network. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1678

Chicago Manual of Style (16th Edition):

Yang, Zaihan. “Mining and Analyzing the Academic Network.” 2014. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1678.

MLA Handbook (7th Edition):

Yang, Zaihan. “Mining and Analyzing the Academic Network.” 2014. Web. 03 Jul 2020.

Vancouver:

Yang Z. Mining and Analyzing the Academic Network. [Internet] [Doctoral dissertation]. Lehigh University; 2014. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1678.

Council of Science Editors:

Yang Z. Mining and Analyzing the Academic Network. [Doctoral Dissertation]. Lehigh University; 2014. Available from: https://preserve.lehigh.edu/etd/1678


Lehigh University

24. Yin, Dawei. Prediction and Recommendation in Online Media.

Degree: PhD, Computer Science, 2013, Lehigh University

 With billions of internet users, online media services have become commonplace. Prediction and recommendation for online media are fundamental problems in various applications, including recommender… (more)

Subjects/Keywords: link prediction; prediction; recommendation; sponsored search; tag prediction; user online behaviors; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yin, D. (2013). Prediction and Recommendation in Online Media. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1683

Chicago Manual of Style (16th Edition):

Yin, Dawei. “Prediction and Recommendation in Online Media.” 2013. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1683.

MLA Handbook (7th Edition):

Yin, Dawei. “Prediction and Recommendation in Online Media.” 2013. Web. 03 Jul 2020.

Vancouver:

Yin D. Prediction and Recommendation in Online Media. [Internet] [Doctoral dissertation]. Lehigh University; 2013. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1683.

Council of Science Editors:

Yin D. Prediction and Recommendation in Online Media. [Doctoral Dissertation]. Lehigh University; 2013. Available from: https://preserve.lehigh.edu/etd/1683


Lehigh University

25. Kim, Edward. Toward Large Scale Semantic Image Understanding and Retrieval.

Degree: PhD, Computer Science, 2013, Lehigh University

 Semantic image retrieval is a multifaceted, highly complex problem. Not only does the solution to this problem require advanced image processing and computer vision techniques,… (more)

Subjects/Keywords: Computer Vision; Image Processing; Image Retrieval; Semantic Web; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kim, E. (2013). Toward Large Scale Semantic Image Understanding and Retrieval. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1712

Chicago Manual of Style (16th Edition):

Kim, Edward. “Toward Large Scale Semantic Image Understanding and Retrieval.” 2013. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/1712.

MLA Handbook (7th Edition):

Kim, Edward. “Toward Large Scale Semantic Image Understanding and Retrieval.” 2013. Web. 03 Jul 2020.

Vancouver:

Kim E. Toward Large Scale Semantic Image Understanding and Retrieval. [Internet] [Doctoral dissertation]. Lehigh University; 2013. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/1712.

Council of Science Editors:

Kim E. Toward Large Scale Semantic Image Understanding and Retrieval. [Doctoral Dissertation]. Lehigh University; 2013. Available from: https://preserve.lehigh.edu/etd/1712


Lehigh University

26. Guo, Ziyi. Leveraging Structural Flexibility to Predict Protein Function.

Degree: PhD, Computer Science, 2017, Lehigh University

 Proteins are essentially versatile and flexible molecules and understanding protein function plays a fundamental role in understanding biological systems. Protein structure comparisons are widely used… (more)

Subjects/Keywords: machine learning; molecular dynamics; protein flexibility; protein structure comparison; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Guo, Z. (2017). Leveraging Structural Flexibility to Predict Protein Function. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2945

Chicago Manual of Style (16th Edition):

Guo, Ziyi. “Leveraging Structural Flexibility to Predict Protein Function.” 2017. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/2945.

MLA Handbook (7th Edition):

Guo, Ziyi. “Leveraging Structural Flexibility to Predict Protein Function.” 2017. Web. 03 Jul 2020.

Vancouver:

Guo Z. Leveraging Structural Flexibility to Predict Protein Function. [Internet] [Doctoral dissertation]. Lehigh University; 2017. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/2945.

Council of Science Editors:

Guo Z. Leveraging Structural Flexibility to Predict Protein Function. [Doctoral Dissertation]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2945


Lehigh University

27. Georgiev, Georgi Dimitrov. Algorithms in protein cavity classification.

Degree: MS, Computer Science, 2018, Lehigh University

 The exponential rise of protein structures lets us explore and visualize the sequence and structure of proteins. The structures are a great and underexplored source… (more)

Subjects/Keywords: algorithms; cavity; CSG; precision; protein; Biomedical

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Georgiev, G. D. (2018). Algorithms in protein cavity classification. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/4351

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Georgiev, Georgi Dimitrov. “Algorithms in protein cavity classification.” 2018. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/4351.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Georgiev, Georgi Dimitrov. “Algorithms in protein cavity classification.” 2018. Web. 03 Jul 2020.

Vancouver:

Georgiev GD. Algorithms in protein cavity classification. [Internet] [Thesis]. Lehigh University; 2018. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/4351.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Georgiev GD. Algorithms in protein cavity classification. [Thesis]. Lehigh University; 2018. Available from: https://preserve.lehigh.edu/etd/4351

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

28. Nguyen, Chanh. Two approaches to defend against adversarial examples: Attention-based and Certificate-based.

Degree: MS, Computer Science, 2018, Lehigh University

 In this paper, we present two different novel approaches to defend against adversarial examples in neural networks: attention-based against pixel-based attack and certificate-based against spatially… (more)

Subjects/Keywords: Adversarial examples; Attention mechanism; Deep learning; Machine learning; Provable security; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nguyen, C. (2018). Two approaches to defend against adversarial examples: Attention-based and Certificate-based. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/4363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nguyen, Chanh. “Two approaches to defend against adversarial examples: Attention-based and Certificate-based.” 2018. Thesis, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/4363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nguyen, Chanh. “Two approaches to defend against adversarial examples: Attention-based and Certificate-based.” 2018. Web. 03 Jul 2020.

Vancouver:

Nguyen C. Two approaches to defend against adversarial examples: Attention-based and Certificate-based. [Internet] [Thesis]. Lehigh University; 2018. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/4363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nguyen C. Two approaches to defend against adversarial examples: Attention-based and Certificate-based. [Thesis]. Lehigh University; 2018. Available from: https://preserve.lehigh.edu/etd/4363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

29. Xue, Qinghan. Effective and Secure Healthcare Machine Learning System with Explanations Based on High Quality Crowdsourcing Data.

Degree: PhD, Computer Science, 2019, Lehigh University

 Affordable cloud computing technologies allow users to efficiently outsource, store, and manage their Personal Health Records (PHRs) and share with their caregivers or physicians. With… (more)

Subjects/Keywords: cloud computing; deep learning; defense scheme; machine learning; personal health records; potential attacks; Health Information Technology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xue, Q. (2019). Effective and Secure Healthcare Machine Learning System with Explanations Based on High Quality Crowdsourcing Data. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/4375

Chicago Manual of Style (16th Edition):

Xue, Qinghan. “Effective and Secure Healthcare Machine Learning System with Explanations Based on High Quality Crowdsourcing Data.” 2019. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/4375.

MLA Handbook (7th Edition):

Xue, Qinghan. “Effective and Secure Healthcare Machine Learning System with Explanations Based on High Quality Crowdsourcing Data.” 2019. Web. 03 Jul 2020.

Vancouver:

Xue Q. Effective and Secure Healthcare Machine Learning System with Explanations Based on High Quality Crowdsourcing Data. [Internet] [Doctoral dissertation]. Lehigh University; 2019. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/4375.

Council of Science Editors:

Xue Q. Effective and Secure Healthcare Machine Learning System with Explanations Based on High Quality Crowdsourcing Data. [Doctoral Dissertation]. Lehigh University; 2019. Available from: https://preserve.lehigh.edu/etd/4375


Lehigh University

30. Zhou, Tingzhe. Tailoring Transactional Memory to Real-World Applications.

Degree: PhD, Computer Science, 2019, Lehigh University

Transactional Memory (TM) promises to provide a scalable mechanism for synchronizationin concurrent programs, and to offer ease-of-use benefits to programmers. Since multiprocessorarchitectures have dominated CPU design, exploiting parallelism in programs Advisors/Committee Members: Spear, Michael.

Subjects/Keywords: Concurrency Control; Parallel Computing; Persistent Memory; Runtime Optimization; Synchronization; Transactional Memory; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhou, T. (2019). Tailoring Transactional Memory to Real-World Applications. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/5579

Chicago Manual of Style (16th Edition):

Zhou, Tingzhe. “Tailoring Transactional Memory to Real-World Applications.” 2019. Doctoral Dissertation, Lehigh University. Accessed July 03, 2020. https://preserve.lehigh.edu/etd/5579.

MLA Handbook (7th Edition):

Zhou, Tingzhe. “Tailoring Transactional Memory to Real-World Applications.” 2019. Web. 03 Jul 2020.

Vancouver:

Zhou T. Tailoring Transactional Memory to Real-World Applications. [Internet] [Doctoral dissertation]. Lehigh University; 2019. [cited 2020 Jul 03]. Available from: https://preserve.lehigh.edu/etd/5579.

Council of Science Editors:

Zhou T. Tailoring Transactional Memory to Real-World Applications. [Doctoral Dissertation]. Lehigh University; 2019. Available from: https://preserve.lehigh.edu/etd/5579

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