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Algorithmic Detection of Computer Generated Papers

Algorithmic Detection of Computer Generated Papers. Tuesday, August 31, 2010. Has done some interesting work in creating a fake researcher named Ike Antkare and getting him an h-index. Of 98 using a self-referencing network of Scigen papers. Attempting to classify these papers, I ran in to a bit of a surprise (green dots are "Ike"'s papers):. Keeping the existing features, a clustering approach would identify both current sets of papers (the traditional Scigen papers and "Ike"'s modified papers) and woul...

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Algorithmic Detection of Computer Generated Papers | paperdetection.blogspot.com Reviews
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Algorithmic Detection of Computer Generated Papers. Tuesday, August 31, 2010. Has done some interesting work in creating a fake researcher named Ike Antkare and getting him an h-index. Of 98 using a self-referencing network of Scigen papers. Attempting to classify these papers, I ran in to a bit of a surprise (green dots are Ike's papers):. Keeping the existing features, a clustering approach would identify both current sets of papers (the traditional Scigen papers and Ike's modified papers) and woul...
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1 fake h index
2 cyril labbé
3 posted by allen
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5 paper
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7 undergraduate research symposium
8 presentations and posters
9 pruning
10 third feature
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Algorithmic Detection of Computer Generated Papers | paperdetection.blogspot.com Reviews

https://paperdetection.blogspot.com

Algorithmic Detection of Computer Generated Papers. Tuesday, August 31, 2010. Has done some interesting work in creating a fake researcher named Ike Antkare and getting him an h-index. Of 98 using a self-referencing network of Scigen papers. Attempting to classify these papers, I ran in to a bit of a surprise (green dots are "Ike"'s papers):. Keeping the existing features, a clustering approach would identify both current sets of papers (the traditional Scigen papers and "Ike"'s modified papers) and woul...

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paperdetection.blogspot.com paperdetection.blogspot.com
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Algorithmic Detection of Computer Generated Papers: Error Analysis for Nearest Neighbor Classifiers

http://paperdetection.blogspot.com/2010/04/error-analysis-for-nearest-neighbor.html

Algorithmic Detection of Computer Generated Papers. Wednesday, April 7, 2010. Error Analysis for Nearest Neighbor Classifiers. So I finally go around to gathering more data and testing different nearest neighbor classifiers. Interestingly, k=3 (as in k-nearest-neighbor) gave the best results with 200 data points using leave-one-out cross validation (2 incorrectly classified points, 1% error):. The two computer generated groups can be seen in the lower left of the image. Subscribe to: Post Comments (Atom).

2

Algorithmic Detection of Computer Generated Papers: Third Feature

http://paperdetection.blogspot.com/2010/03/third-feature.html

Algorithmic Detection of Computer Generated Papers. Friday, March 26, 2010. The long awaited third feature has finally arrived. I'm measuring the occurrence of keywords from the reference section of papers in their body, title and abstract. Implementing the feature itself was fairly trivial, but 3D plotting with Matplotlib turns out to be somewhat tricky. March 26, 2010 at 11:15 AM. One possibility is to plot how the classification changes as k changes from 2 to 20. (just a thought). More Data and Results.

3

Algorithmic Detection of Computer Generated Papers: Presentations and Posters

http://paperdetection.blogspot.com/2010/04/presentations-and-posters.html

Algorithmic Detection of Computer Generated Papers. Thursday, April 22, 2010. I'll be presenting to RCOS tomorrow. My slides are here. I haven't had as much time to work on this project as I'd like over the past week or so, but I'm hopeful for a little free time at the end of next week. Subscribe to: Post Comments (Atom). Error Analysis for Nearest Neighbor Classifiers. View my complete profile.

4

Algorithmic Detection of Computer Generated Papers: February 2010

http://paperdetection.blogspot.com/2010_02_01_archive.html

Algorithmic Detection of Computer Generated Papers. Tuesday, February 16, 2010. First of all, I'd like to thank Sean O'Sullivan for his continued support of the Rensselaer Center for Open Software. RCOS adds enormous benefit to computer science at Rensselaer, and has been one of the high points of my undergraduate career here. Each candidate feature will be tested against a body of known academic papers and a body of computer generated documents. Features which differ between computer generated paper...

5

Algorithmic Detection of Computer Generated Papers: Fake h-Index

http://paperdetection.blogspot.com/2010/08/fake-h-index.html

Algorithmic Detection of Computer Generated Papers. Tuesday, August 31, 2010. Has done some interesting work in creating a fake researcher named Ike Antkare and getting him an h-index. Of 98 using a self-referencing network of Scigen papers. Attempting to classify these papers, I ran in to a bit of a surprise (green dots are "Ike"'s papers):. Keeping the existing features, a clustering approach would identify both current sets of papers (the traditional Scigen papers and "Ike"'s modified papers) and woul...

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Algorithmic Detection of Computer Generated Papers

Algorithmic Detection of Computer Generated Papers. Tuesday, August 31, 2010. Has done some interesting work in creating a fake researcher named Ike Antkare and getting him an h-index. Of 98 using a self-referencing network of Scigen papers. Attempting to classify these papers, I ran in to a bit of a surprise (green dots are "Ike"'s papers):. Keeping the existing features, a clustering approach would identify both current sets of papers (the traditional Scigen papers and "Ike"'s modified papers) and woul...

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