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You searched for +publisher:"University of North Texas" +contributor:("Jin, Wei"). Showing records 1 – 6 of 6 total matches.

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University of North Texas

1. Liu, Zhi. Location Estimation and Geo-Correlated Information Trends.

Degree: 2017, University of North Texas

 A tremendous amount of information is being shared every day on social media sites such as Facebook, Twitter or Google+. However, only a small portion… (more)

Subjects/Keywords: Location Estimation; Event Detection; Topic Association

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

APA (6th Edition):

Liu, Z. (2017). Location Estimation and Geo-Correlated Information Trends. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1062799/

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):

Liu, Zhi. “Location Estimation and Geo-Correlated Information Trends.” 2017. Thesis, University of North Texas. Accessed August 11, 2020. https://digital.library.unt.edu/ark:/67531/metadc1062799/.

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

MLA Handbook (7th Edition):

Liu, Zhi. “Location Estimation and Geo-Correlated Information Trends.” 2017. Web. 11 Aug 2020.

Vancouver:

Liu Z. Location Estimation and Geo-Correlated Information Trends. [Internet] [Thesis]. University of North Texas; 2017. [cited 2020 Aug 11]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1062799/.

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

Council of Science Editors:

Liu Z. Location Estimation and Geo-Correlated Information Trends. [Thesis]. University of North Texas; 2017. Available from: https://digital.library.unt.edu/ark:/67531/metadc1062799/

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


University of North Texas

2. Parde, Natalie. Reading with Robots: A Platform to Promote Cognitive Exercise through Identification and Discussion of Creative Metaphor in Books.

Degree: 2018, University of North Texas

 Maintaining cognitive health is often a pressing concern for aging adults, and given the world's shifting age demographics, it is impractical to assume that older… (more)

Subjects/Keywords: natural language processing; metaphor; question generation; dialogue systems; corpora; human-robot systems; social robotics; artificial intelligence; cognitive exercise; Computer Science

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

APA (6th Edition):

Parde, N. (2018). Reading with Robots: A Platform to Promote Cognitive Exercise through Identification and Discussion of Creative Metaphor in Books. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1248384/

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):

Parde, Natalie. “Reading with Robots: A Platform to Promote Cognitive Exercise through Identification and Discussion of Creative Metaphor in Books.” 2018. Thesis, University of North Texas. Accessed August 11, 2020. https://digital.library.unt.edu/ark:/67531/metadc1248384/.

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

MLA Handbook (7th Edition):

Parde, Natalie. “Reading with Robots: A Platform to Promote Cognitive Exercise through Identification and Discussion of Creative Metaphor in Books.” 2018. Web. 11 Aug 2020.

Vancouver:

Parde N. Reading with Robots: A Platform to Promote Cognitive Exercise through Identification and Discussion of Creative Metaphor in Books. [Internet] [Thesis]. University of North Texas; 2018. [cited 2020 Aug 11]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1248384/.

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

Council of Science Editors:

Parde N. Reading with Robots: A Platform to Promote Cognitive Exercise through Identification and Discussion of Creative Metaphor in Books. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1248384/

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


University of North Texas

3. Dharmavaram, Sirisha. Mining Biomedical Data for Hidden Relationship Discovery.

Degree: 2019, University of North Texas

 With an ever-growing number of publications in the biomedical domain, it becomes likely that important implicit connections between individual concepts of biomedical knowledge are overlooked.… (more)

Subjects/Keywords: Literature Based Discovery; Representation; Learning; Path Clustering; Semantic Analysis

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

APA (6th Edition):

Dharmavaram, S. (2019). Mining Biomedical Data for Hidden Relationship Discovery. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1538709/

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):

Dharmavaram, Sirisha. “Mining Biomedical Data for Hidden Relationship Discovery.” 2019. Thesis, University of North Texas. Accessed August 11, 2020. https://digital.library.unt.edu/ark:/67531/metadc1538709/.

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

MLA Handbook (7th Edition):

Dharmavaram, Sirisha. “Mining Biomedical Data for Hidden Relationship Discovery.” 2019. Web. 11 Aug 2020.

Vancouver:

Dharmavaram S. Mining Biomedical Data for Hidden Relationship Discovery. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Aug 11]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1538709/.

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

Council of Science Editors:

Dharmavaram S. Mining Biomedical Data for Hidden Relationship Discovery. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1538709/

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


University of North Texas

4. Shaik, Arshad. Biomedical Semantic Embeddings: Using Hybrid Sentences to Construct Biomedical Word Embeddings and Their Applications.

Degree: 2019, University of North Texas

 Word embeddings is a useful method that has shown enormous success in various NLP tasks, not only in open domain but also in biomedical domain.… (more)

Subjects/Keywords: machine learning; word embeddings

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

APA (6th Edition):

Shaik, A. (2019). Biomedical Semantic Embeddings: Using Hybrid Sentences to Construct Biomedical Word Embeddings and Their Applications. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1609064/

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):

Shaik, Arshad. “Biomedical Semantic Embeddings: Using Hybrid Sentences to Construct Biomedical Word Embeddings and Their Applications.” 2019. Thesis, University of North Texas. Accessed August 11, 2020. https://digital.library.unt.edu/ark:/67531/metadc1609064/.

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

MLA Handbook (7th Edition):

Shaik, Arshad. “Biomedical Semantic Embeddings: Using Hybrid Sentences to Construct Biomedical Word Embeddings and Their Applications.” 2019. Web. 11 Aug 2020.

Vancouver:

Shaik A. Biomedical Semantic Embeddings: Using Hybrid Sentences to Construct Biomedical Word Embeddings and Their Applications. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Aug 11]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1609064/.

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

Council of Science Editors:

Shaik A. Biomedical Semantic Embeddings: Using Hybrid Sentences to Construct Biomedical Word Embeddings and Their Applications. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1609064/

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


University of North Texas

5. Zhou, Yang. Multi-Source Large Scale Bike Demand Prediction.

Degree: 2020, University of North Texas

 Current works of bike demand prediction mainly focus on cluster level and perform poorly on predicting demands of a single station. In the first task,… (more)

Subjects/Keywords: Bikeshare; Demand Prediction;

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

APA (6th Edition):

Zhou, Y. (2020). Multi-Source Large Scale Bike Demand Prediction. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1703413/

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):

Zhou, Yang. “Multi-Source Large Scale Bike Demand Prediction.” 2020. Thesis, University of North Texas. Accessed August 11, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703413/.

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

MLA Handbook (7th Edition):

Zhou, Yang. “Multi-Source Large Scale Bike Demand Prediction.” 2020. Web. 11 Aug 2020.

Vancouver:

Zhou Y. Multi-Source Large Scale Bike Demand Prediction. [Internet] [Thesis]. University of North Texas; 2020. [cited 2020 Aug 11]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1703413/.

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

Council of Science Editors:

Zhou Y. Multi-Source Large Scale Bike Demand Prediction. [Thesis]. University of North Texas; 2020. Available from: https://digital.library.unt.edu/ark:/67531/metadc1703413/

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


University of North Texas

6. Florescu, Corina Andreea. SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction.

Degree: 2019, University of North Texas

 Current unsupervised approaches for keyphrase extraction compute a single importance score for each candidate word by considering the number and quality of its associated words… (more)

Subjects/Keywords: keyphrase extraction; graph representation learning; feature learning

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

APA (6th Edition):

Florescu, C. A. (2019). SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1538730/

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):

Florescu, Corina Andreea. “SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction.” 2019. Thesis, University of North Texas. Accessed August 11, 2020. https://digital.library.unt.edu/ark:/67531/metadc1538730/.

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

MLA Handbook (7th Edition):

Florescu, Corina Andreea. “SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction.” 2019. Web. 11 Aug 2020.

Vancouver:

Florescu CA. SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Aug 11]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1538730/.

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

Council of Science Editors:

Florescu CA. SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1538730/

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

.