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301.
302.
Computational inference of genetic regulatory networks in human cancer cells
by Margolin, Adam Arne, Ph.D.  Columbia University. 2008: 282 pages; 3299359.
303.
Lithium-Ion Battery SOC Estimation Using Deep Learning Neural Networks
by Wang, Rui, M.S.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 55 pages; 22624788.
304.
Predicting Mental State Using Social Media Posts
by Seshadri, Subramaniam, M.S.  California State University, Long Beach. 2019: 56 pages; 13863615.
306.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
308.
Any-Com Multi-Robot Path Planning
by Otte, Michael Wilson, Ph.D.  University of Colorado at Boulder. 2011: 194 pages; 3489609.
309.
Rapid Learning with Stochastic Focus of Attention
by Pelossof, Raphael A., Ph.D.  Columbia University. 2011: 85 pages; 3451712.
310.
Control of Self-Reconfigurable Robot teams for sensor placement
by Hays, Jacob, M.S.  Rochester Institute of Technology. 2010: 94 pages; 1477695.
311.
Artificial Neural Networks in Public Policy: Towards an Analytical Framework
by Lee, Joshua A., Ph.D.  George Mason University. 2020: 353 pages; 27956419.
313.
Deep Learning for Puzzles and Circadian Rhythms
by Agostinelli, Forest, Ph.D.  University of California, Irvine. 2019: 99 pages; 27663716.
315.
WPCA: The Wreath Product Cognitive Architecture
by Joshi, Anshul, Ph.D.  The University of Utah. 2016: 137 pages; 10242991.
316.
Supportive Behaviors for Human-Robot Teaming
by Hayes, Bradley, Ph.D.  Yale University. 2016: 178 pages; 10160856.
317.
A framework for computer aided diagnosis and analysis of the neuro-vasculature
by Chowriappa, Ashirwad, Ph.D.  State University of New York at Buffalo. 2014: 203 pages; 3612958.
318.
Nonlinear epilepsy forewarning by support vector machines
by Ashbee, William S., M.S.  University of South Alabama. 2013: 51 pages; 1604736.
319.
Robust Model Estimation Methods For Information Retrieval
by Collins-Thompson, Kevyn, Ph.D.  Carnegie Mellon University. 2008: 220 pages; 3528730.
321.
Stampede Theory: Mapping and Treating Dangerous Misinformation at Scale
by Feldman, Philip, Ph.D.  University of Maryland, Baltimore County. 2020: 399 pages; 27830588.
322.
Learning Visual Affordances for Robotic Manipulation
by Zeng, Andy, Ph.D.  Princeton University. 2019: 155 pages; 27544746.
324.
Real-Time Adaptive Data-Driven Perception for Anomaly Priority Scoring at Scale
by Miraftabzadeh, Seyed Ali, Ph.D.  The University of Texas at San Antonio. 2017: 142 pages; 10686275.
325.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
326.
JuKeCB: Creating, Maintaining and Optimizing a Case Based Reasoning System
by Karneeb, Justin, M.S.  Lehigh University. 2010: 106 pages; 1488521.
327.
Enabling open domain interactive storytelling using a data-driven case-based approach
by Swanson, Reid, Ph.D.  University of Southern California. 2010: 228 pages; 3418269.
328.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
329.
Leveraging Structure for Learning Robot Control and Reactive Planning
by Sutanto, Giovanni, Ph.D.  University of Southern California. 2020: 151 pages; 28086666.
330.
Automated Detection of Semagram-Laden Images
by Cerkez, Paul S., Ph.D.  Nova Southeastern University. 2012: 238 pages; 3505651.
301 - 330 of 15024 displayed.
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