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HM Thinking

Thursday, January 5, 2017. Leap Year Workshop: note. Leap Year Workshop: the research opportunity. The order, title and note for the presentations. Balaji Palanisamy: Protecting Time-varying Privacy with Self-emerging Data. Kayhan Batmanghelich: An Exciting New Horizon: Medical Image Computing Meets EHR. Daniel Mosse: OCCAM: define, run, curate, visualize experiments for your group, your class, your organization and/or the world. Store and archive all the research data in one place. Deep learning with NLP.

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HM Thinking | cht77.blogspot.com Reviews
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Thursday, January 5, 2017. Leap Year Workshop: note. Leap Year Workshop: the research opportunity. The order, title and note for the presentations. Balaji Palanisamy: Protecting Time-varying Privacy with Self-emerging Data. Kayhan Batmanghelich: An Exciting New Horizon: Medical Image Computing Meets EHR. Daniel Mosse: OCCAM: define, run, curate, visualize experiments for your group, your class, your organization and/or the world. Store and archive all the research data in one place. Deep learning with NLP.
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1 hm thinking
2 department biomedical informatics
3 university of pittsburgh
4 using visualization techniques
5 computerization and employment
6 personalized medical treatment
7 cancer pathway detection
8 computational focus groups
9 any interested students
10 upci academy
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HM Thinking | cht77.blogspot.com Reviews

https://cht77.blogspot.com

Thursday, January 5, 2017. Leap Year Workshop: note. Leap Year Workshop: the research opportunity. The order, title and note for the presentations. Balaji Palanisamy: Protecting Time-varying Privacy with Self-emerging Data. Kayhan Batmanghelich: An Exciting New Horizon: Medical Image Computing Meets EHR. Daniel Mosse: OCCAM: define, run, curate, visualize experiments for your group, your class, your organization and/or the world. Store and archive all the research data in one place. Deep learning with NLP.

INTERNAL PAGES

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1

HM Thinking: December 2016

http://cht77.blogspot.com/2016_12_01_archive.html

Friday, December 30, 2016. CiteRivers: visual analytics of citation patterns. This visual tool is aim to help explore the citation network of the given publications (conference proceeding). It shows the citation word cloud, trend, diversity, author and publisher venue. Not clear of the scale of stream panel and the relation with spectral clustering. The benefit of using clustering techniques to show the publication in a river style is not clear. A visual analytics agenda. Let user see, explore and unders...

2

HM Thinking: An summary review of three recommendation systems for academia.

http://cht77.blogspot.com/2015/10/an-exploration-of-three-recommendation.html

Tuesday, October 20, 2015. An summary review of three recommendation systems for academia. The idea of recommendation system could be applied to several research questions. However, it is pretty difficult to examine the effectiveness of the recommendation result. There are three main directions to solve this issue: 1) ground truth[1][2]; 2) user study[3]; 3)domain expert (e.g. knowledge ontology, expert review). Küçüktunç, Onur, Erik Saule, Kamer Kaya, and Ümit V. Çatalyürek. “TheAdvisor: A...Summary Thi...

3

HM Thinking: egoSlider: Visual analysis of egocentric network evolution.

http://cht77.blogspot.com/2017/01/egoslider-visual-analysis-of-egocentric.html

Sunday, January 1, 2017. EgoSlider: Visual analysis of egocentric network evolution. This paper proposes a tool to visualize the dynamic and temporal information of ego-network. The primary goal of this tool is to support the study of the exploratory pattern for cross domains. For instance, how the ego-network change among time to the relationship with personal health? Subscribe to: Post Comments (Atom). Welcome to give me some comments or feedback. You can reach me by: hm [at] cht77.com. Summary This pa...

4

HM Thinking: Explainable Artificial Intelligence Systems

http://cht77.blogspot.com/2016/08/explainable-artificial-intelligence.html

Tuesday, August 9, 2016. Explainable Artificial Intelligence Systems. In a military information system of training or tactics, an after-action-review. However, the user interface can only provide the "straightforward" information for users. For example, during a simulator, the user can ask "What is your location/health condition/current task"? Layer 1: Classifier (Supervised). Layer 2: Markov Chain (semi-Supervised). In [4], the author dealt with the similar issues for a neuron network decision process (...

5

HM Thinking: Reading Summary: "Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles"

http://cht77.blogspot.com/2015/10/reading-summary-content-driven-user.html

Friday, October 16, 2015. Reading Summary: "Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles". Some possible potential research topics:. Inline commenting behavior: what is the user replying to? Or, when an emotional (happy, sad, exciting, etc.) tweets showed on Twitter, what is the response from their following/followers? The idea about use sampling to inference the data distribution from machine learning perspective. Eg the Markov chain Monte Carlo (MCMC).

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Publication - Chun-Hua (Hyman) Tsai

http://www.cht77.com/publication

Tsai, C. H. An Interactive and Interpretable Interface for Diversity in Recommender Systems" Companion Publication of the 22nd International Conference on Intelligent User Interfaces. ACM, 2017. Tsai, C. H. A Fuzzy-Based Personalized Recommender System for Local Business. Hypertext 2016 Proceedings (short paper) ( PDF. Tsai, C. H. And Lin, Y.-R. (2016), Tracing and Predicting Collaboration for Junior Scholars. WWW 2016 Proceedings (workshop paper) ( PDF. Tsai, C. H. Tsai, C. H. Tsai, C. H. Tsai, C.H.

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Profile - Chun-Hua (Hyman) Tsai

http://www.cht77.com/profile

PhD Student - Sep. 2013 - Dec. 2018 (Expected). Information Sciences and Technology Program. University of Pittsburgh, Pittsburgh, PA. Master of Science - July 2009. Major in Management Information Systems. National Chengchi University, Taipei City, Taiwan. Bachelor of Administration- June 2007. Tamkang University, New Taipei City, Taiwan. INFSCI 2560: Web Technologies and Standards. Fall 2013, University of Pittsburgh). INFSCI 2560: Web Technologies and Standards. Fall 2016, University of Pittsburgh).

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File - Chun-Hua (Hyman) Tsai

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Jul 18, 2016, 1:21 PM. Apr 7, 2015, 3:30 PM. Jun 4, 2015, 1:52 PM. Conference - A study of cloud computing service oriented architecture.pdf. Feb 4, 2016, 9:39 AM. Jul 18, 2016, 12:54 PM. Nov 30, 2014, 10:42 PM. Personalized Cross Domain Recommender A global search approach iConf2016.pdf. Feb 4, 2016, 9:36 AM. Tracing the junior scholars Short wwwbigscholar2016 .pdf. Apr 13, 2016, 12:50 PM. Apr 13, 2016, 1:13 PM. Apr 13, 2016, 1:15 PM. Apr 13, 2016, 1:16 PM. Poster wwwsci 2014.pdf. Apr 13, 2016, 1:09 PM.

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Chun-Hua (Hyman) Tsai

http://www.cht77.com/home

School of Information Sciences at University of Pittsburgh. 707, 135 North Bellefield Ave., Pittsburgh, PA 15260, USA. Email: cht77 [at] pitt.edu. Reach me at Linkedin. Welcome to my home page. I am a Ph.D. Student at. School of Information Sciences, University of Pittsburgh. I hold an MS from. And a BA from the. Norwegian School of Economics. As an exchange student. I have a ten-year hand on experience of PHP, SQL and Web System Administration. Extensive public affair participation experience supports.

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Sitemap - Chun-Hua (Hyman) Tsai

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Recent site activity - Chun-Hua (Hyman) Tsai

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Mar 7, 2017, 8:23 PM. Hyman Tsai edited Profile. Mar 7, 2017, 8:22 PM. Hyman Tsai edited About. Mar 1, 2017, 11:43 AM. Hyman Tsai edited Publication. Mar 1, 2017, 11:40 AM. Hyman Tsai edited Profile. Mar 1, 2017, 11:39 AM. Hyman Tsai edited About. Mar 1, 2017, 11:39 AM. Hyman Tsai edited About. Jan 5, 2017, 11:25 AM. Hyman Tsai edited Profile. Oct 29, 2016, 8:51 AM. Hyman Tsai edited Profile. Sep 9, 2016, 9:54 AM. Hyman Tsai edited About. Sep 9, 2016, 9:54 AM. Hyman Tsai edited About. Sep 9, 2016, 9:45 AM.

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HM Thinking

Thursday, January 5, 2017. Leap Year Workshop: note. Leap Year Workshop: the research opportunity. The order, title and note for the presentations. Balaji Palanisamy: Protecting Time-varying Privacy with Self-emerging Data. Kayhan Batmanghelich: An Exciting New Horizon: Medical Image Computing Meets EHR. Daniel Mosse: OCCAM: define, run, curate, visualize experiments for your group, your class, your organization and/or the world. Store and archive all the research data in one place. Deep learning with NLP.

cht77.com cht77.com

Chun-Hua (Hyman) Tsai

School of Information Sciences at University of Pittsburgh. 707, 135 North Bellefield Ave., Pittsburgh, PA 15260, USA. Email: cht77 [at] pitt.edu. Reach me at: Linkedin. Welcome to my home page. I am a Ph.D. Student at. School of Information Sciences, University of Pittsburgh. I hold a MS from. And a BA from the. Norwegian School of Economics. As an exchange student. I have ten-year hand on experience of PHP, SQL and Web System Administration. With several projects. During my PhD study, I have p. In 2015...

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