Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Travis L. Bauer"'
Publikováno v:
IEEE Transactions on Information Forensics and Security. 14:1366-1376
The flexibility of network communication within Internet protocols is fundamental to network function, yet this same flexibility permits the possibility of malicious use. In particular, malicious behavior can masquerade as benign traffic, thus evadin
Autor:
Travis L. Bauer, Katherine M. Simonson, Robert Jeffers, Carl D. Laird, Patrick D. Finley, Monear Makvandi, Alexander V. Outkin, Cosmin Safta, Walter E. Beyeler
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42b46905fc01b0793ad228d4a8ae6f0d
https://doi.org/10.2172/1661021
https://doi.org/10.2172/1661021
Autor:
Robin Jacobs-Gedrim, Mathias Christopher Celina, Martin B. Nemer, Darren W. Branch, Anne Grillet, Susan Adele Caskey, Stefan P. Domino, Robert Jeffers, Raga Krishnakumar, Patrick D. Finley, Jeffrey P. Koplow, Cosmin Safta, Monear Makvandi, William Corbin, Patrick D. Burton, Paul Thelen, Clifford Ho, Brooke Harmon, Amy Treece, Ryan P. Haggerty, Jose Pacheco, Kelly P. Williams, Grant Rossman, Carl D. Laird, Travis L. Bauer, Ronen Polsky, Brad H. Jones
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c281bec0ab8d10bd37e0799f581e77c9
https://doi.org/10.2172/1617440
https://doi.org/10.2172/1617440
Autor:
Rudy Garcia, Laura Patrizi, Patricia Hernandez, Shawn Martin, Travis L. Bauer, Lisa Astuto-Gribble, Alisa Bandlow, Patricia Crossno, Jonathan T. McClain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa0aa2405e783188a7fff27a5118a882
https://doi.org/10.2172/1763559
https://doi.org/10.2172/1763559
Publikováno v:
ICASSP
We present a new method for boundary detection within sequential data using compression-based analytics. Our approach is to approximate the information distance between two adjacent sliding windows within the sequence. Large values in the distance me
Publikováno v:
Lecture Notes in Social Networks ISBN: 9783030112851
We develop a method for time-dependent topic tracking and meme trending in social media. Our objective is to identify time periods whose content differs significantly from normal, and we utilize two techniques to do so. The first is an information-th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d400f14fc12b4e622bfe0efe01ca34a
https://doi.org/10.1007/978-3-030-11286-8_10
https://doi.org/10.1007/978-3-030-11286-8_10
Autor:
Austin Silva, Gregory J. Feist, Rickson Sun, Toluwalogo Odumosu, Glory Emmanuel Aviña, Venkatesh Narayanamurti, Curtis M. Johnson, Travis L. Bauer, Jeffrey Y. Tsao, Richard P. Schneider, G. W. Crabtree, R. Keith Sawyer, Christian D. Schunn, S. Thomas Picraux
Publikováno v:
Engineering a Better Future ISBN: 9783319911335
Applying science to the current art of producing engineering and research knowledge has proven difficult, in large part because of its seeming complexity. We posit that the microscopic processes underlying research are not so complex, but instead are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d97421f07aa5b5ac09fbc22ed72e2c65
https://doi.org/10.1007/978-3-319-91134-2_14
https://doi.org/10.1007/978-3-319-91134-2_14
Publikováno v:
ASONAM
In this work, we approach topic tracking and meme trending in social media with a temporal focus; rather than analyzing topics, we aim to identify time periods whose content differs significantly from normal. We detail two approaches. The first is an
Autor:
Rieko Yajima, Christina L. Ting, Elizabeth S. Fleming Lindsley, John F. Mareda, Lynne M. Starkweather, Michael E. Coltrin, Rick Schneider, Jessica Glicken Turnley, Donald W. Guy, Wendell B. Jones, Travis L. Bauer, Tina M. Nenoff, Venkatesh Narayanamurti, Grant S. Heffelfinger, Jeffrey Y. Tsao
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5c925d2a11c70fb33be8bc1e4b2556d
https://doi.org/10.2172/1346123
https://doi.org/10.2172/1346123
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319672168
SocInfo (1)
SocInfo (1)
In this work we extend compression-based algorithms for deception detection in text. In contrast to approaches that rely on theories for deception to identify feature sets, compression automatically identifies the most significant features. We consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32230d68f6240b465d291c43769ac4fe
https://doi.org/10.1007/978-3-319-67217-5_16
https://doi.org/10.1007/978-3-319-67217-5_16