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MAICS 2016: Dayton, OH, USA
- Phu H. Phung, Ju Shen, Michael Glass:

Proceedings of the 27th Modern Artificial Intelligence and Cognitive Science Conference 2016, Dayton, OH, USA, April 22-23, 2016. CEUR Workshop Proceedings 1584, CEUR-WS.org 2016
Full Papers
- Balaji Baskaran, Anca L. Ralescu:

A Study of Android Malware Detection Techniques and Machine Learning. 15-23 - Joshua W. Buck, Saverio Perugini:

A Tool for Staging Mixed-initiative Dialogs. 25-32 - Stephany Coffman-Wolph:

Fuzzy Algorithms: Applying Fuzzy Logic to the Golden Ratio Search to Find Solutions Faster. 33-39 - Siobahn C. Day, Henry Williams, Joseph Shelton, Gerry V. Dozier:

Towards the Development of a Cyber Analysis & Advisement Tool (CAAT) for Mitigating De-Anonymization Attacks. 41-45 - Gabriel J. Ferrer:

Real-time Unsupervised Clustering. 47-53 - Maxwell Fowler, Chris Bellis, Christopher Perry, Beomjin Kim:

Exploring Web-based Visual Interfaces for Searching Research Articleson Digital Library Systems. 55-62 - Deeptha Girish, Vineeta Singh, Anca L. Ralescu:

Extended Pixel Representation for Image Segmentation. 63-67 - Jung Hee Kim, Michael Glass, Taehee Kim, Kelvin S. Bryant, Angelica Willis, Ebonie McNeil, Zachery Thomas:

Student Understanding and Engagement in a Class Employing COMPS Computer Mediated Problem Solving: A First Look. 69-74 - Robert Stokes, Angelica Willis, Kelvin S. Bryant, Zanetta Tyler, Anthony Dobson:

Comparison of Biometric Authentication Software Techniques: GEFE vs. Angle Based Metrics. 75-89 - William Nick, Yenny Dominguez, Albert C. Esterline:

Situations and Evidence for Identity Using Dempster-Shafer Theory. 81-87 - Cory Sabol, William Nick, Maya Earl, Joseph Shelton, Albert C. Esterline:

The WebID Protocol Enhanced With Group Access, Biometrics, and Access Policies. 89-95 - Joseph Lemley, Sami Abdul-Wahid, Dipayan Banik, Razvan Andonie:

Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images. 97-102
Short Paper
- Rahmira Rufus, William Nick, Joseph Shelton, Albert C. Esterline:

An Autonomic Computing System based on a Rule-based Policy Engine and Artificial Immune Systems. 105-108

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