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61.
Early Prediction of Epilepsy Seizure via VLSI BCI Based System
by ElSayed, Zaghloul, Ph.D.  University of Louisiana at Lafayette. 2016: 174 pages; 10163299.
62.
Deep Learning for Segmented Medical Image Analysis
by Cheong, Vincent K., M.S.  California State University, Long Beach. 2019: 53 pages; 13858079.
63.
An exploration of varying conditions in a Hopfield Neural Network and applications to a DNA implementation
by Hughes, Bradley Steven, Ph.D.  University of California, Riverside. 2010: 233 pages; 3426183.
65.
Artificial intelligence approaches to music composition
by Khan, Adil H., M.S.  Northern Kentucky University. 2013: 129 pages; 1549922.
66.
Needle in the Noise: Detecting Public Safety Events Over Twitter
by Paulson, Keith, M.Eng.  University of Colorado Colorado Springs. 2019: 52 pages; 13864461.
68.
Data-driven computer vision for science and the humanities
by Lee, Stefan, Ph.D.  Indiana University. 2016: 130 pages; 10153534.
69.
Variable Memory Recurrent Neural Networks for Nano Sat Launch Vehicle attitude control
by Sclafani, Rodolfo J., M.S.  California State University, Long Beach. 2014: 79 pages; 1527749.
70.
Secure framework for implementing distributed networked control systems with mobile observers using heterogeneous controllers
by Padilla-Franco, Javitt Higmar Nahitt, Ph.D.  New Mexico State University. 2017: 194 pages; 10759028.
71.
A new approach of top -down induction of decision trees for knowledge discovery
by Lee, Jun-Youl, Ph.D.  Iowa State University. 2008: 186 pages; 3307038.
72.
Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation
by Aakur, Sathyanarayanan Narasimhan, Ph.D.  University of South Florida. 2019: 138 pages; 13903779.
73.
Visual Dialog: Towards Communicative Visual Agents
by Kottur, Satwik, Ph.D.  Carnegie Mellon University. 2019: 161 pages; 13882985.
74.
Predicting Mental State Using Social Media Posts
by Seshadri, Subramaniam, M.S.  California State University, Long Beach. 2019: 56 pages; 13863615.
75.
The Impact of Cost on Feature Selection for Classifiers
by McCrae, Richard, Ph.D.  Nova Southeastern University. 2018: 181 pages; 13423087.
76.
77.
Attention-Dependent and Continuous Representation Learning using Deep Autoencoders
by Dellana, Ryan, Ph.D.  North Carolina Agricultural and Technical State University. 2019: 104 pages; 22583727.
78.
Machine Learning and Cellular Automata: Applications in Modeling Dynamic Change in Urban Environments
by Curtis, Brian J., D.Engr.  The George Washington University. 2018: 84 pages; 10785215.
79.
Reduced HyperBF networks: Practical optimization, regularization, and applications in bioinformatics
by Mahdi, Rami Nezar, Ph.D.  University of Louisville. 2010: 119 pages; 3415069.
80.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
82.
Semi-supervised learning for connectionist networks
by Robare, Rebecca J., Ph.D.  City University of New York. 2010: 117 pages; 3426834.
83.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
84.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
86.
87.
An analysis of reasonableness models for research assessments
by Kight, William D., Ph.D.  Walden University. 2010: 179 pages; 3396317.
89.
The Status of AI in Music: A Study of the Musical Metacreation Conferences, 2012-2018
by York, Bruce, M.M.  Western Illinois University. 2019: 138 pages; 13901476.
90.
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.
61 - 90 of 24314 displayed.
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