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You searched for subject:(Computer science Machine learning GAN chat bot). Showing records 1 – 30 of 241715 total matches.

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KTH

1. Rinnarv, Jonathan. GANChat : A Generative Adversarial Network approach for chat bot learning.

Degree: Electrical Engineering and Computer Science (EECS), 2020, KTH

Recently a new method for training generative neural networks called Generative Adversarial Networks (GAN) has shown great results in the computer vision domain and… (more)

Subjects/Keywords: Computer science Machine learning GAN chat bot; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Rinnarv, J. (2020). GANChat : A Generative Adversarial Network approach for chat bot learning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143

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):

Rinnarv, Jonathan. “GANChat : A Generative Adversarial Network approach for chat bot learning.” 2020. Thesis, KTH. Accessed October 30, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143.

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

MLA Handbook (7th Edition):

Rinnarv, Jonathan. “GANChat : A Generative Adversarial Network approach for chat bot learning.” 2020. Web. 30 Oct 2020.

Vancouver:

Rinnarv J. GANChat : A Generative Adversarial Network approach for chat bot learning. [Internet] [Thesis]. KTH; 2020. [cited 2020 Oct 30]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143.

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

Council of Science Editors:

Rinnarv J. GANChat : A Generative Adversarial Network approach for chat bot learning. [Thesis]. KTH; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143

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


University of California – San Diego

2. Wang, Siyang. Unaligned Sequential Image Transformation with GAN.

Degree: Computer Science and Engineering, 2019, University of California – San Diego

 The purpose of this thesis is to present a novel method of learning to generate an image sequence from input a single image without sequentially… (more)

Subjects/Keywords: Computer science; GAN; Image-to-image; Machine Learning; Neural Networks

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

APA (6th Edition):

Wang, S. (2019). Unaligned Sequential Image Transformation with GAN. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/8012d6st

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):

Wang, Siyang. “Unaligned Sequential Image Transformation with GAN.” 2019. Thesis, University of California – San Diego. Accessed October 30, 2020. http://www.escholarship.org/uc/item/8012d6st.

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

MLA Handbook (7th Edition):

Wang, Siyang. “Unaligned Sequential Image Transformation with GAN.” 2019. Web. 30 Oct 2020.

Vancouver:

Wang S. Unaligned Sequential Image Transformation with GAN. [Internet] [Thesis]. University of California – San Diego; 2019. [cited 2020 Oct 30]. Available from: http://www.escholarship.org/uc/item/8012d6st.

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

Council of Science Editors:

Wang S. Unaligned Sequential Image Transformation with GAN. [Thesis]. University of California – San Diego; 2019. Available from: http://www.escholarship.org/uc/item/8012d6st

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


Virginia Tech

3. Hu, Tianrui. Detecting Bots using Stream-based System with Data Synthesis.

Degree: MS, Computer Science and Applications, 2020, Virginia Tech

 An internet bot is a computer-controlled software performing simple and automated tasks over the internet. Although some bots are legitimate, many bots are operated to… (more)

Subjects/Keywords: Bot Detection; Security; Machine Learning

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

APA (6th Edition):

Hu, T. (2020). Detecting Bots using Stream-based System with Data Synthesis. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98595

Chicago Manual of Style (16th Edition):

Hu, Tianrui. “Detecting Bots using Stream-based System with Data Synthesis.” 2020. Masters Thesis, Virginia Tech. Accessed October 30, 2020. http://hdl.handle.net/10919/98595.

MLA Handbook (7th Edition):

Hu, Tianrui. “Detecting Bots using Stream-based System with Data Synthesis.” 2020. Web. 30 Oct 2020.

Vancouver:

Hu T. Detecting Bots using Stream-based System with Data Synthesis. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10919/98595.

Council of Science Editors:

Hu T. Detecting Bots using Stream-based System with Data Synthesis. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/98595


KTH

4. Pakdaman, Hesam. Updating the generator in PPGN-h with gradients flowing through the encoder.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

<em>The Generative Adversarial Network framework has shown success in implicitly modeling data distributions and is able to generate realistic samples. Its architecture is comprised… (more)

Subjects/Keywords: Computer Science; Computer Vision; Deep Learning; Machine Learning; Generative Adversarial Networks; GAN; Neural Networks; Generative models; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Pakdaman, H. (2018). Updating the generator in PPGN-h with gradients flowing through the encoder. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224867

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):

Pakdaman, Hesam. “Updating the generator in PPGN-h with gradients flowing through the encoder.” 2018. Thesis, KTH. Accessed October 30, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224867.

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

MLA Handbook (7th Edition):

Pakdaman, Hesam. “Updating the generator in PPGN-h with gradients flowing through the encoder.” 2018. Web. 30 Oct 2020.

Vancouver:

Pakdaman H. Updating the generator in PPGN-h with gradients flowing through the encoder. [Internet] [Thesis]. KTH; 2018. [cited 2020 Oct 30]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224867.

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

Council of Science Editors:

Pakdaman H. Updating the generator in PPGN-h with gradients flowing through the encoder. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224867

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


Linnaeus University

5. Valipour, Saeideh. Language IndependentDetector for Auto GeneratedTweets.

Degree: Computer Science, 2020, Linnaeus University

  The cross-disciplinary Nordic Tweet Stream (NTS) is a project aiming at creating a multilingual text corpus consisting of tweets published in the five Nordic countries. The… (more)

Subjects/Keywords: Twitter; Machine Learning; Classification; Bot Detection; Social networks; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Valipour, S. (2020). Language IndependentDetector for Auto GeneratedTweets. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97837

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):

Valipour, Saeideh. “Language IndependentDetector for Auto GeneratedTweets.” 2020. Thesis, Linnaeus University. Accessed October 30, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97837.

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

MLA Handbook (7th Edition):

Valipour, Saeideh. “Language IndependentDetector for Auto GeneratedTweets.” 2020. Web. 30 Oct 2020.

Vancouver:

Valipour S. Language IndependentDetector for Auto GeneratedTweets. [Internet] [Thesis]. Linnaeus University; 2020. [cited 2020 Oct 30]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97837.

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

Council of Science Editors:

Valipour S. Language IndependentDetector for Auto GeneratedTweets. [Thesis]. Linnaeus University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97837

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


Virginia Tech

6. Jan, Steve T. K. Robustifying Machine Learning based Security Applications.

Degree: PhD, Computer Science and Applications, 2020, Virginia Tech

Machine learning (ML) is computer algorithms that aim to identify hidden patterns from the data. In recent years, machine learning has been widely used in… (more)

Subjects/Keywords: Machine Learning; Security; Bot Detection; Phishing Attacks

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

APA (6th Edition):

Jan, S. T. K. (2020). Robustifying Machine Learning based Security Applications. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99862

Chicago Manual of Style (16th Edition):

Jan, Steve T K. “Robustifying Machine Learning based Security Applications.” 2020. Doctoral Dissertation, Virginia Tech. Accessed October 30, 2020. http://hdl.handle.net/10919/99862.

MLA Handbook (7th Edition):

Jan, Steve T K. “Robustifying Machine Learning based Security Applications.” 2020. Web. 30 Oct 2020.

Vancouver:

Jan STK. Robustifying Machine Learning based Security Applications. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10919/99862.

Council of Science Editors:

Jan STK. Robustifying Machine Learning based Security Applications. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99862


University of California – Berkeley

7. Rubinstein, Benjamin. Secure Learning and Learning for Security: Research in the Intersection.

Degree: Computer Science, 2010, University of California – Berkeley

 Statistical Machine Learning is used in many real-world systems, such as web search, network and power management, online advertising, finance and health services, in which… (more)

Subjects/Keywords: Computer Science; Machine Learning; Security

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

APA (6th Edition):

Rubinstein, B. (2010). Secure Learning and Learning for Security: Research in the Intersection. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/3tj8f7q4

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):

Rubinstein, Benjamin. “Secure Learning and Learning for Security: Research in the Intersection.” 2010. Thesis, University of California – Berkeley. Accessed October 30, 2020. http://www.escholarship.org/uc/item/3tj8f7q4.

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

MLA Handbook (7th Edition):

Rubinstein, Benjamin. “Secure Learning and Learning for Security: Research in the Intersection.” 2010. Web. 30 Oct 2020.

Vancouver:

Rubinstein B. Secure Learning and Learning for Security: Research in the Intersection. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2020 Oct 30]. Available from: http://www.escholarship.org/uc/item/3tj8f7q4.

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

Council of Science Editors:

Rubinstein B. Secure Learning and Learning for Security: Research in the Intersection. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/3tj8f7q4

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

8. Thaker, Chirag Suryakant. Evolutionary computation based genetic machine learning.

Degree: Computer Science, 2014, Suresh Gyan Vihar University

Since centuries board games have been very prominent facet of human life. It has played very imperative and pivotal role as research area in the… (more)

Subjects/Keywords: Computer Science; Genetic machine learning

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

APA (6th Edition):

Thaker, C. S. (2014). Evolutionary computation based genetic machine learning. (Thesis). Suresh Gyan Vihar University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/16329

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):

Thaker, Chirag Suryakant. “Evolutionary computation based genetic machine learning.” 2014. Thesis, Suresh Gyan Vihar University. Accessed October 30, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/16329.

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

MLA Handbook (7th Edition):

Thaker, Chirag Suryakant. “Evolutionary computation based genetic machine learning.” 2014. Web. 30 Oct 2020.

Vancouver:

Thaker CS. Evolutionary computation based genetic machine learning. [Internet] [Thesis]. Suresh Gyan Vihar University; 2014. [cited 2020 Oct 30]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16329.

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

Council of Science Editors:

Thaker CS. Evolutionary computation based genetic machine learning. [Thesis]. Suresh Gyan Vihar University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16329

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


University of California – Irvine

9. Kotzias, Dimitrios. Mixture Models for Personalized Recommendation and Prediction.

Degree: Information and Computer Science, 2018, University of California – Irvine

 Personalized recommendation is an important, yet challenging task that benefits both service provides and consumers, by enabling more efficient and informative choices.However, despite the increased… (more)

Subjects/Keywords: Computer science; Machine Learning

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

APA (6th Edition):

Kotzias, D. (2018). Mixture Models for Personalized Recommendation and Prediction. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/48z326rw

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):

Kotzias, Dimitrios. “Mixture Models for Personalized Recommendation and Prediction.” 2018. Thesis, University of California – Irvine. Accessed October 30, 2020. http://www.escholarship.org/uc/item/48z326rw.

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

MLA Handbook (7th Edition):

Kotzias, Dimitrios. “Mixture Models for Personalized Recommendation and Prediction.” 2018. Web. 30 Oct 2020.

Vancouver:

Kotzias D. Mixture Models for Personalized Recommendation and Prediction. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2020 Oct 30]. Available from: http://www.escholarship.org/uc/item/48z326rw.

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

Council of Science Editors:

Kotzias D. Mixture Models for Personalized Recommendation and Prediction. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/48z326rw

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

10. Han, Fangqiu. Representation Learning on Unstructured Data.

Degree: 2016, University of California – eScholarship, University of California

 Representation learning, which transfers real world data such as graphs, images and texts, into representations that can be effectively processed by machine learning algorithms, has… (more)

Subjects/Keywords: Computer science; Graph; Machine Learning; Representation Learning

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APA (6th Edition):

Han, F. (2016). Representation Learning on Unstructured Data. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/0xm2125b

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):

Han, Fangqiu. “Representation Learning on Unstructured Data.” 2016. Thesis, University of California – eScholarship, University of California. Accessed October 30, 2020. http://www.escholarship.org/uc/item/0xm2125b.

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

MLA Handbook (7th Edition):

Han, Fangqiu. “Representation Learning on Unstructured Data.” 2016. Web. 30 Oct 2020.

Vancouver:

Han F. Representation Learning on Unstructured Data. [Internet] [Thesis]. University of California – eScholarship, University of California; 2016. [cited 2020 Oct 30]. Available from: http://www.escholarship.org/uc/item/0xm2125b.

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

Council of Science Editors:

Han F. Representation Learning on Unstructured Data. [Thesis]. University of California – eScholarship, University of California; 2016. Available from: http://www.escholarship.org/uc/item/0xm2125b

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


University of Kansas

11. Sajid, Usman. ZiZoNet: A Zoom-In and Zoom-Out Mechanism for Crowd Counting in Static Images.

Degree: MS, Electrical Engineering & Computer Science, 2019, University of Kansas

 As people gather during different social, political or musical events, automated crowd analysis can lead to effective and better management of such events to prevent… (more)

Subjects/Keywords: Computer science; deep learning; densenet; machine learning

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

APA (6th Edition):

Sajid, U. (2019). ZiZoNet: A Zoom-In and Zoom-Out Mechanism for Crowd Counting in Static Images. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/29710

Chicago Manual of Style (16th Edition):

Sajid, Usman. “ZiZoNet: A Zoom-In and Zoom-Out Mechanism for Crowd Counting in Static Images.” 2019. Masters Thesis, University of Kansas. Accessed October 30, 2020. http://hdl.handle.net/1808/29710.

MLA Handbook (7th Edition):

Sajid, Usman. “ZiZoNet: A Zoom-In and Zoom-Out Mechanism for Crowd Counting in Static Images.” 2019. Web. 30 Oct 2020.

Vancouver:

Sajid U. ZiZoNet: A Zoom-In and Zoom-Out Mechanism for Crowd Counting in Static Images. [Internet] [Masters thesis]. University of Kansas; 2019. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1808/29710.

Council of Science Editors:

Sajid U. ZiZoNet: A Zoom-In and Zoom-Out Mechanism for Crowd Counting in Static Images. [Masters Thesis]. University of Kansas; 2019. Available from: http://hdl.handle.net/1808/29710


University of Oklahoma

12. Yang, Lei. DEEP LEARNING APPROACHES IN PROBLEMS IN VARIOUS-DIMENSIONAL DATA.

Degree: PhD, 2017, University of Oklahoma

 This thesis develop efficient deep learning based methods for a series of tasks. I believe these problems to be inherently worth developing because of their… (more)

Subjects/Keywords: Computer Science; Machine Learning; Deep Learning

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

APA (6th Edition):

Yang, L. (2017). DEEP LEARNING APPROACHES IN PROBLEMS IN VARIOUS-DIMENSIONAL DATA. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/50040

Chicago Manual of Style (16th Edition):

Yang, Lei. “DEEP LEARNING APPROACHES IN PROBLEMS IN VARIOUS-DIMENSIONAL DATA.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed October 30, 2020. http://hdl.handle.net/11244/50040.

MLA Handbook (7th Edition):

Yang, Lei. “DEEP LEARNING APPROACHES IN PROBLEMS IN VARIOUS-DIMENSIONAL DATA.” 2017. Web. 30 Oct 2020.

Vancouver:

Yang L. DEEP LEARNING APPROACHES IN PROBLEMS IN VARIOUS-DIMENSIONAL DATA. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/11244/50040.

Council of Science Editors:

Yang L. DEEP LEARNING APPROACHES IN PROBLEMS IN VARIOUS-DIMENSIONAL DATA. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/50040


Drexel University

13. Overdorf, Rebekah. Bridging Distinct Domains in Privacy Related Learning Problems.

Degree: 2017, Drexel University

Development of efficient and effective machine learning methods has prompted a surge of research on their application from use in spam filtering to recommender systems.… (more)

Subjects/Keywords: Computer science; Machine learning; Privacy; Computer security

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

APA (6th Edition):

Overdorf, R. (2017). Bridging Distinct Domains in Privacy Related Learning Problems. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7607

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):

Overdorf, Rebekah. “Bridging Distinct Domains in Privacy Related Learning Problems.” 2017. Thesis, Drexel University. Accessed October 30, 2020. http://hdl.handle.net/1860/idea:7607.

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

MLA Handbook (7th Edition):

Overdorf, Rebekah. “Bridging Distinct Domains in Privacy Related Learning Problems.” 2017. Web. 30 Oct 2020.

Vancouver:

Overdorf R. Bridging Distinct Domains in Privacy Related Learning Problems. [Internet] [Thesis]. Drexel University; 2017. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1860/idea:7607.

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

Council of Science Editors:

Overdorf R. Bridging Distinct Domains in Privacy Related Learning Problems. [Thesis]. Drexel University; 2017. Available from: http://hdl.handle.net/1860/idea:7607

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


Cornell University

14. Veit, Andreas. Learning Conditional Models for Visual Perception.

Degree: PhD, Computer Science, 2018, Cornell University

 In recent years, the field of computer vision has seen a series of major advances, made possible by rapid development in algorithms, data collection and… (more)

Subjects/Keywords: computer vision; machine learning; Computer science

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APA (6th Edition):

Veit, A. (2018). Learning Conditional Models for Visual Perception. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59494

Chicago Manual of Style (16th Edition):

Veit, Andreas. “Learning Conditional Models for Visual Perception.” 2018. Doctoral Dissertation, Cornell University. Accessed October 30, 2020. http://hdl.handle.net/1813/59494.

MLA Handbook (7th Edition):

Veit, Andreas. “Learning Conditional Models for Visual Perception.” 2018. Web. 30 Oct 2020.

Vancouver:

Veit A. Learning Conditional Models for Visual Perception. [Internet] [Doctoral dissertation]. Cornell University; 2018. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1813/59494.

Council of Science Editors:

Veit A. Learning Conditional Models for Visual Perception. [Doctoral Dissertation]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59494

15. Brennan, Michael. Managing quality, identity and adversaries in public discourse with machine learning.

Degree: 2012, Drexel University

Automation can mitigate issues when scaling and managing quality and identity in public discourse on the web. Discourse needs to be curated and filtered. Anonymous… (more)

Subjects/Keywords: Computer science; Machine learning; Authorship; Computer security

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APA (6th Edition):

Brennan, M. (2012). Managing quality, identity and adversaries in public discourse with machine learning. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/4052

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):

Brennan, Michael. “Managing quality, identity and adversaries in public discourse with machine learning.” 2012. Thesis, Drexel University. Accessed October 30, 2020. http://hdl.handle.net/1860/4052.

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

MLA Handbook (7th Edition):

Brennan, Michael. “Managing quality, identity and adversaries in public discourse with machine learning.” 2012. Web. 30 Oct 2020.

Vancouver:

Brennan M. Managing quality, identity and adversaries in public discourse with machine learning. [Internet] [Thesis]. Drexel University; 2012. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1860/4052.

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

Council of Science Editors:

Brennan M. Managing quality, identity and adversaries in public discourse with machine learning. [Thesis]. Drexel University; 2012. Available from: http://hdl.handle.net/1860/4052

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


Drexel University

16. Afroz, Sadia. Deception in Authorship Attribution.

Degree: 2013, Drexel University

In digital forensics, questions often arise about the authors of documents: their identity, demographic background, and whether they can be linked to other documents. The… (more)

Subjects/Keywords: Computer science; Authorship; Machine learning; Computer security

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

APA (6th Edition):

Afroz, S. (2013). Deception in Authorship Attribution. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/4431

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):

Afroz, Sadia. “Deception in Authorship Attribution.” 2013. Thesis, Drexel University. Accessed October 30, 2020. http://hdl.handle.net/1860/4431.

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

MLA Handbook (7th Edition):

Afroz, Sadia. “Deception in Authorship Attribution.” 2013. Web. 30 Oct 2020.

Vancouver:

Afroz S. Deception in Authorship Attribution. [Internet] [Thesis]. Drexel University; 2013. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1860/4431.

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

Council of Science Editors:

Afroz S. Deception in Authorship Attribution. [Thesis]. Drexel University; 2013. Available from: http://hdl.handle.net/1860/4431

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


Drexel University

17. Stolerman, Ariel. Authorship Verification.

Degree: 2015, Drexel University

In recent years, stylometry, the study of linguistic style, has become more prominent in security and privacy applications involving written language, mostly in digital and… (more)

Subjects/Keywords: Computer science; Authorship; Machine learning; Computer security

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

APA (6th Edition):

Stolerman, A. (2015). Authorship Verification. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:6389

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):

Stolerman, Ariel. “Authorship Verification.” 2015. Thesis, Drexel University. Accessed October 30, 2020. http://hdl.handle.net/1860/idea:6389.

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

MLA Handbook (7th Edition):

Stolerman, Ariel. “Authorship Verification.” 2015. Web. 30 Oct 2020.

Vancouver:

Stolerman A. Authorship Verification. [Internet] [Thesis]. Drexel University; 2015. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1860/idea:6389.

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

Council of Science Editors:

Stolerman A. Authorship Verification. [Thesis]. Drexel University; 2015. Available from: http://hdl.handle.net/1860/idea:6389

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


Linköping University

18. Oskarsson, Joel. Probabilistic Regression using Conditional Generative Adversarial Networks.

Degree: The Division of Statistics and Machine Learning, 2020, Linköping University

  Regression is a central problem in statistics and machine learning with applications everywhere in science and technology. In probabilistic regression the relationship between a… (more)

Subjects/Keywords: machine learning; ml; regression; probabilistic; distribution; cgan; gan; conditional gan; adversarial networks; neural network; deep learning; f-gan; f-cgan; f-divergence; adversarial training; bimodal; heteroskedastic; mmd; maximum mean discrepancy; gmmn; generative moment matching network; conditional gmmn; ipm; kde; cgan evaluation; cgan regression; gan regression; cgan-regression; regression using gan; deep; nn; implicit; generative; conditional; model; complex noise; aleatoric; uncertainty; dctd; mdn; heteroskedastic regression; gp; Other Computer and Information Science; Annan data- och informationsvetenskap

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

APA (6th Edition):

Oskarsson, J. (2020). Probabilistic Regression using Conditional Generative Adversarial Networks. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166637

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):

Oskarsson, Joel. “Probabilistic Regression using Conditional Generative Adversarial Networks.” 2020. Thesis, Linköping University. Accessed October 30, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166637.

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

MLA Handbook (7th Edition):

Oskarsson, Joel. “Probabilistic Regression using Conditional Generative Adversarial Networks.” 2020. Web. 30 Oct 2020.

Vancouver:

Oskarsson J. Probabilistic Regression using Conditional Generative Adversarial Networks. [Internet] [Thesis]. Linköping University; 2020. [cited 2020 Oct 30]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166637.

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

Council of Science Editors:

Oskarsson J. Probabilistic Regression using Conditional Generative Adversarial Networks. [Thesis]. Linköping University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166637

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

19. Kolluru, Katyayani Kiranmayee. A method to identify Record and Replay bots on mobile applications using Behaviometrics.

Degree: Electrical and Space Engineering, 2017, Luleå University of Technology

  Many banking and commerce mobile applications use two-factor authentication for userauthentication purposes which include both password and behavioral based authenticationsystems. These behavioral based authentication… (more)

Subjects/Keywords: Behaviometrics; Machine learning; bot detection; Engineering and Technology; Teknik och teknologier

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

APA (6th Edition):

Kolluru, K. K. (2017). A method to identify Record and Replay bots on mobile applications using Behaviometrics. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64468

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):

Kolluru, Katyayani Kiranmayee. “A method to identify Record and Replay bots on mobile applications using Behaviometrics.” 2017. Thesis, Luleå University of Technology. Accessed October 30, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64468.

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

MLA Handbook (7th Edition):

Kolluru, Katyayani Kiranmayee. “A method to identify Record and Replay bots on mobile applications using Behaviometrics.” 2017. Web. 30 Oct 2020.

Vancouver:

Kolluru KK. A method to identify Record and Replay bots on mobile applications using Behaviometrics. [Internet] [Thesis]. Luleå University of Technology; 2017. [cited 2020 Oct 30]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64468.

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

Council of Science Editors:

Kolluru KK. A method to identify Record and Replay bots on mobile applications using Behaviometrics. [Thesis]. Luleå University of Technology; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64468

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


Georgia Tech

20. Gastineau, Eric Luc Adrien. Domain adaptation via data augmentation.

Degree: MS, Computer Science, 2020, Georgia Tech

 Deep learning (DL) models require large labeled datasets for training. Practitioners often need to adapt an existing DL model to a different domain. For instance,… (more)

Subjects/Keywords: Deep learning; Domain adaptation; Machine learning; GAN; Object detection; Big data; Data augmentation; Computer vision; Image processing; Data engineering

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

APA (6th Edition):

Gastineau, E. L. A. (2020). Domain adaptation via data augmentation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62862

Chicago Manual of Style (16th Edition):

Gastineau, Eric Luc Adrien. “Domain adaptation via data augmentation.” 2020. Masters Thesis, Georgia Tech. Accessed October 30, 2020. http://hdl.handle.net/1853/62862.

MLA Handbook (7th Edition):

Gastineau, Eric Luc Adrien. “Domain adaptation via data augmentation.” 2020. Web. 30 Oct 2020.

Vancouver:

Gastineau ELA. Domain adaptation via data augmentation. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1853/62862.

Council of Science Editors:

Gastineau ELA. Domain adaptation via data augmentation. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62862


Arizona State University

21. Davis, Matthew William. Types of Bots: Categorization of Accounts Using Unsupervised Machine Learning.

Degree: Computer Science, 2019, Arizona State University

 Social media bot detection has been a signature challenge in recent years in online social networks. Many scholars agree that the bot detection problem has… (more)

Subjects/Keywords: Computer science; Bot Detection; Bot Typology; Categorization of Bots; Twitter Bots; Types of Bots; Unsupervised Bot Detection

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

APA (6th Edition):

Davis, M. W. (2019). Types of Bots: Categorization of Accounts Using Unsupervised Machine Learning. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/55528

Chicago Manual of Style (16th Edition):

Davis, Matthew William. “Types of Bots: Categorization of Accounts Using Unsupervised Machine Learning.” 2019. Masters Thesis, Arizona State University. Accessed October 30, 2020. http://repository.asu.edu/items/55528.

MLA Handbook (7th Edition):

Davis, Matthew William. “Types of Bots: Categorization of Accounts Using Unsupervised Machine Learning.” 2019. Web. 30 Oct 2020.

Vancouver:

Davis MW. Types of Bots: Categorization of Accounts Using Unsupervised Machine Learning. [Internet] [Masters thesis]. Arizona State University; 2019. [cited 2020 Oct 30]. Available from: http://repository.asu.edu/items/55528.

Council of Science Editors:

Davis MW. Types of Bots: Categorization of Accounts Using Unsupervised Machine Learning. [Masters Thesis]. Arizona State University; 2019. Available from: http://repository.asu.edu/items/55528


Washington State University

22. [No author]. Knowledge Transfer in Reinforcement Learning: How agents should benefit from prior knowledge .

Degree: 2019, Washington State University

 Reinforcement learning (RL) has had many successes in different tasks, but in practice, it often requires significant amounts of data or training time to learn… (more)

Subjects/Keywords: Computer science; Learning from Demonstration; Machine Learning; Reinforcement Learning; Transfer Learning

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

APA (6th Edition):

author], [. (2019). Knowledge Transfer in Reinforcement Learning: How agents should benefit from prior knowledge . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/17895

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):

author], [No. “Knowledge Transfer in Reinforcement Learning: How agents should benefit from prior knowledge .” 2019. Thesis, Washington State University. Accessed October 30, 2020. http://hdl.handle.net/2376/17895.

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

MLA Handbook (7th Edition):

author], [No. “Knowledge Transfer in Reinforcement Learning: How agents should benefit from prior knowledge .” 2019. Web. 30 Oct 2020.

Vancouver:

author] [. Knowledge Transfer in Reinforcement Learning: How agents should benefit from prior knowledge . [Internet] [Thesis]. Washington State University; 2019. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/2376/17895.

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

Council of Science Editors:

author] [. Knowledge Transfer in Reinforcement Learning: How agents should benefit from prior knowledge . [Thesis]. Washington State University; 2019. Available from: http://hdl.handle.net/2376/17895

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


Dalhousie University

23. Atwater, Aaron. Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data.

Degree: Master of Computer Science, Faculty of Computer Science, 2013, Dalhousie University

Hyperref'd copy available at: https://web.cs.dal.ca/~atwater/

Classification under streaming data constraints implies that training must be performed continuously, can only access individual exemplars for a short… (more)

Subjects/Keywords: computer science; genetic programming; machine learning; classification

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

APA (6th Edition):

Atwater, A. (2013). Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/35358

Chicago Manual of Style (16th Edition):

Atwater, Aaron. “Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data.” 2013. Masters Thesis, Dalhousie University. Accessed October 30, 2020. http://hdl.handle.net/10222/35358.

MLA Handbook (7th Edition):

Atwater, Aaron. “Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data.” 2013. Web. 30 Oct 2020.

Vancouver:

Atwater A. Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10222/35358.

Council of Science Editors:

Atwater A. Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data. [Masters Thesis]. Dalhousie University; 2013. Available from: http://hdl.handle.net/10222/35358


University of California – San Diego

24. Nath, Siddhartha. New Applications of Learning-Based Modeling in Nanoscale Integrated-Circuit Design.

Degree: Computer Science, 2016, University of California – San Diego

 In today's leading-edge semiconductor technologies, it is increasingly difficult for IC designers to achieve sufficient improvements of performance, power and area metrics in their next-generation… (more)

Subjects/Keywords: Computer science; Machine Learning; Optimization; VLSI CAD

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APA (6th Edition):

Nath, S. (2016). New Applications of Learning-Based Modeling in Nanoscale Integrated-Circuit Design. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/9jn2c085

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):

Nath, Siddhartha. “New Applications of Learning-Based Modeling in Nanoscale Integrated-Circuit Design.” 2016. Thesis, University of California – San Diego. Accessed October 30, 2020. http://www.escholarship.org/uc/item/9jn2c085.

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

MLA Handbook (7th Edition):

Nath, Siddhartha. “New Applications of Learning-Based Modeling in Nanoscale Integrated-Circuit Design.” 2016. Web. 30 Oct 2020.

Vancouver:

Nath S. New Applications of Learning-Based Modeling in Nanoscale Integrated-Circuit Design. [Internet] [Thesis]. University of California – San Diego; 2016. [cited 2020 Oct 30]. Available from: http://www.escholarship.org/uc/item/9jn2c085.

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

Council of Science Editors:

Nath S. New Applications of Learning-Based Modeling in Nanoscale Integrated-Circuit Design. [Thesis]. University of California – San Diego; 2016. Available from: http://www.escholarship.org/uc/item/9jn2c085

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


University of California – Berkeley

25. Bodik, Peter. Automating Datacenter Operations Using Machine Learning.

Degree: Electrical Engineering & Computer Sciences, 2010, University of California – Berkeley

 Today's Internet datacenters run many complex and large-scale Web applications that are very difficult to manage. The main challenges are understanding user workloads and application… (more)

Subjects/Keywords: Computer science; datacenter; machine learning; operations

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APA (6th Edition):

Bodik, P. (2010). Automating Datacenter Operations Using Machine Learning. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/462666w3

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):

Bodik, Peter. “Automating Datacenter Operations Using Machine Learning.” 2010. Thesis, University of California – Berkeley. Accessed October 30, 2020. http://www.escholarship.org/uc/item/462666w3.

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

MLA Handbook (7th Edition):

Bodik, Peter. “Automating Datacenter Operations Using Machine Learning.” 2010. Web. 30 Oct 2020.

Vancouver:

Bodik P. Automating Datacenter Operations Using Machine Learning. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2020 Oct 30]. Available from: http://www.escholarship.org/uc/item/462666w3.

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

Council of Science Editors:

Bodik P. Automating Datacenter Operations Using Machine Learning. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/462666w3

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


Temple University

26. Zhao, Feipeng. Learning Top-N Recommender Systems with Implicit Feedbacks.

Degree: PhD, 2017, Temple University

Computer and Information Science

Top-N recommender systems automatically recommend N items for users from huge amounts of products. Personalized Top-N recommender systems have great impact… (more)

Subjects/Keywords: Computer science;

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APA (6th Edition):

Zhao, F. (2017). Learning Top-N Recommender Systems with Implicit Feedbacks. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,450099

Chicago Manual of Style (16th Edition):

Zhao, Feipeng. “Learning Top-N Recommender Systems with Implicit Feedbacks.” 2017. Doctoral Dissertation, Temple University. Accessed October 30, 2020. http://digital.library.temple.edu/u?/p245801coll10,450099.

MLA Handbook (7th Edition):

Zhao, Feipeng. “Learning Top-N Recommender Systems with Implicit Feedbacks.” 2017. Web. 30 Oct 2020.

Vancouver:

Zhao F. Learning Top-N Recommender Systems with Implicit Feedbacks. [Internet] [Doctoral dissertation]. Temple University; 2017. [cited 2020 Oct 30]. Available from: http://digital.library.temple.edu/u?/p245801coll10,450099.

Council of Science Editors:

Zhao F. Learning Top-N Recommender Systems with Implicit Feedbacks. [Doctoral Dissertation]. Temple University; 2017. Available from: http://digital.library.temple.edu/u?/p245801coll10,450099


University of Michigan

27. Eykholt, Kevin. Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

 Studies show that state-of-the-art deep neural networks (DNNs) are vulnerable to adversarial examples, resulting from small-magnitude perturbations added to the input in a calculated fashion.… (more)

Subjects/Keywords: Machine Learning; Security; Computer Science; Engineering

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APA (6th Edition):

Eykholt, K. (2019). Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153373

Chicago Manual of Style (16th Edition):

Eykholt, Kevin. “Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms.” 2019. Doctoral Dissertation, University of Michigan. Accessed October 30, 2020. http://hdl.handle.net/2027.42/153373.

MLA Handbook (7th Edition):

Eykholt, Kevin. “Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms.” 2019. Web. 30 Oct 2020.

Vancouver:

Eykholt K. Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/2027.42/153373.

Council of Science Editors:

Eykholt K. Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153373


Drexel University

28. Blincoe, Kelly Coyle. Timely and Efficient Facilitation of Coordination of Software Developers’ Activities.

Degree: 2014, Drexel University

When software developers fail to coordinate, build failures, duplication of work, schedule slips and software defects can result. However, developers are often unaware when they… (more)

Subjects/Keywords: Computer science; Machine learning; Software engineering

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APA (6th Edition):

Blincoe, K. C. (2014). Timely and Efficient Facilitation of Coordination of Software Developers’ Activities. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/4362

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):

Blincoe, Kelly Coyle. “Timely and Efficient Facilitation of Coordination of Software Developers’ Activities.” 2014. Thesis, Drexel University. Accessed October 30, 2020. http://hdl.handle.net/1860/4362.

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

MLA Handbook (7th Edition):

Blincoe, Kelly Coyle. “Timely and Efficient Facilitation of Coordination of Software Developers’ Activities.” 2014. Web. 30 Oct 2020.

Vancouver:

Blincoe KC. Timely and Efficient Facilitation of Coordination of Software Developers’ Activities. [Internet] [Thesis]. Drexel University; 2014. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1860/4362.

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

Council of Science Editors:

Blincoe KC. Timely and Efficient Facilitation of Coordination of Software Developers’ Activities. [Thesis]. Drexel University; 2014. Available from: http://hdl.handle.net/1860/4362

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


University of Waterloo

29. Jhunjhunwala, Aman. Policy Extraction via Online Q-Value Distillation.

Degree: 2019, University of Waterloo

 Recently, deep neural networks have been capable of solving complex control tasks in certain challenging environments. However, these deep learning policies continue to be hard… (more)

Subjects/Keywords: Neural networks (Computer science); Machine learning

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

APA (6th Edition):

Jhunjhunwala, A. (2019). Policy Extraction via Online Q-Value Distillation. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14963

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):

Jhunjhunwala, Aman. “Policy Extraction via Online Q-Value Distillation.” 2019. Thesis, University of Waterloo. Accessed October 30, 2020. http://hdl.handle.net/10012/14963.

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

MLA Handbook (7th Edition):

Jhunjhunwala, Aman. “Policy Extraction via Online Q-Value Distillation.” 2019. Web. 30 Oct 2020.

Vancouver:

Jhunjhunwala A. Policy Extraction via Online Q-Value Distillation. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10012/14963.

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

Council of Science Editors:

Jhunjhunwala A. Policy Extraction via Online Q-Value Distillation. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14963

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


University of Johannesburg

30. Barnard, S. J. Short term load forecasting by a modified backpropagation trained neural network.

Degree: 2012, University of Johannesburg

M. Ing.

This dissertation describes the development of a feedforwa.rd neural network, trained by means of an accelerated backpropagation algorithm, used for the short term… (more)

Subjects/Keywords: Neural networks (Computer science); Algorithms.; Machine learning

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APA (6th Edition):

Barnard, S. J. (2012). Short term load forecasting by a modified backpropagation trained neural network. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/5828

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):

Barnard, S J. “Short term load forecasting by a modified backpropagation trained neural network.” 2012. Thesis, University of Johannesburg. Accessed October 30, 2020. http://hdl.handle.net/10210/5828.

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

MLA Handbook (7th Edition):

Barnard, S J. “Short term load forecasting by a modified backpropagation trained neural network.” 2012. Web. 30 Oct 2020.

Vancouver:

Barnard SJ. Short term load forecasting by a modified backpropagation trained neural network. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10210/5828.

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

Council of Science Editors:

Barnard SJ. Short term load forecasting by a modified backpropagation trained neural network. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/5828

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

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