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en línea
Sara Rajaram and Cassie S. Mitchell    
The ability to translate Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) into different modalities and data types is essential to improve Deep Learning (DL) for predictive medicine. This work presents DACMVA, a novel framework ... ver más
Revista: Information    Formato: Electrónico

 
en línea
B. F. Rauch, W. V. Zober, Q. Abarr, Y. Akaike, W. R. Binns, R. F. Borda, R. G. Bose, T. J. Brandt, D. L. Braun, J. H. Buckley, N. W. Cannady, S. Coutu, R. M. Crabill, P. F. Dowkontt, M. H. Israel, M. Kandula, J. F. Krizmanic, A. W. Labrador, W. Labrador, L. Lisalda, J. V. Martins, M. P. McPherson, R. A. Mewaldt, J. G. Mitchell, J. W. Mitchell, S. A. I. Mognet, R. P. Murphy, G. A. de Nolfo, S. Nutter, M. A. Olevitch, N. E. Osborn, I. M. Pastrana, K. Sakai, M. Sasaki, S. Smith, H. A. Tolentino, N. E. Walsh, J. E. Ward, D. Washington, A. T. West and L. P. WilliamsaddShow full author listremoveHide full author list    
The Trans-Iron Galactic Element Recorder (TIGER) family of instruments is optimized to measure the relative abundances of the rare, ultra-heavy galactic cosmic rays (UHGCRs) with atomic number (Z) Z = 30. Observing the UHGCRs places a premium on exposure... ver más
Revista: Instruments    Formato: Electrónico

 
en línea
David Kartchner, Davi Nakajima An, Wendi Ren, Chao Zhang and Cassie S. Mitchell    
A major bottleneck preventing the extension of deep learning systems to new domains is the prohibitive cost of acquiring sufficient training labels. Alternatives such as weak supervision, active learning, and fine-tuning of pretrained models reduce this ... ver más
Revista: AI    Formato: Electrónico

 
en línea
Stephen A. Allegri, Kevin McCoy and Cassie S. Mitchell    
Large networks are quintessential to bioinformatics, knowledge graphs, social network analysis, and graph-based learning. CompositeView is a Python-based open-source application that improves interactive complex network visualization and extraction of ac... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Anna Kirkpatrick, Chidozie Onyeze, David Kartchner, Stephen Allegri, Davi Nakajima An, Kevin McCoy, Evie Davalbhakta and Cassie S. Mitchell    
Literature-based discovery (LBD) summarizes information and generates insight from large text corpuses. The SemNet framework utilizes a large heterogeneous information network or ?knowledge graph? of nodes and edges to compute relatedness and rank concep... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Andrew S. Mitchell    
Sustainability transition projects (STPs) employ specialist knowledge and learning to lever changes for the communities with which they engage. Research into these forms of organizations often focuses on engagement practices and their relative success or... ver más
Revista: Administrative Sciences    Formato: Electrónico

 
en línea
Jenni R. Roche, Fraser J. G. Mitchell, Steve Waldren and Bettina S. Stefanini    
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Revista: Forests    Formato: Electrónico

 
usuarios registrados
Mark S. Wipfli, John P. Hudson, John P. Caouette, Nicole L. Mitchell, Joanna L. Lessard, Ron A. Heintz, and Dominic T. Chaloner     Pág. 824

 
usuarios registrados
Thomas J. Divers, Marc S. Kraus, Sophy A. Jesty, Andrew D. Miller, Hussni O. Mohammed, Anna R.M. Gelzer, Lisa M. Mitchell, L. Vincent Soderholm, and Normand G. Ducharme     Pág. 338 - 343
Revista: JOURNAL OF VETERINARY DIAGNOSTIC INVESTIGATION    Formato: Impreso

 
en línea
Rodney D'Souza, Bruce Kemelgor     Pág. 51 - 68
Aldrich, H. (1999). Organizations Evolving. Thousand Oaks, Sage Publications, London.Abelson, R.P. & Black, J.B. (1986). Introduction. In: J.A. Galambos, R.P. Abelson, and J.B. Black (Eds.), Knowledge Structures. Hillsdale, NJ: Lawrence Erlbaum Associate... ver más
Revista: Journal of Small Business Strategy    Formato: Electrónico

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