Natasha Balac

According to our database, Natasha Balac authored at least 9 papers between 2000 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Guest Editorial: Alternative Computing and Machine Learning for Internet of Things.

Farshad Firouzi, Bahar J. Farahani, Andrew B. Kahng, Jan M. Rabaey, Natasha Balac

IEEE Trans. Very Large Scale Integr. Syst., 2017

Big Data Techniques for Public Health: A Case Study.

Yannis Katsis, Natasha Balac, Derek Chapman, Madhur Kapoor, Jessica Block, William G. Griswold, Jeannie Huang, Nikos Koulouris, Massimiliano Menarini, Viswanath Nandigam, Mandy Ngo, Kian Win Ong, Yannis Papakonstantinou, Besa Smith, Konstantinos Zarifis, Steven H. Woolf, Kevin Patrick

Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

2013

A multivariate Time Series Classification Method for Streaming Data using Temporal Metafeature Abstractions.

Tamara B. Sipes, Natasha Balac, Homa Karimabadi, Nicole Wolter, Kenneth Nunes, Aaron Roberts

Int. J. Semantic Comput., 2013

"Green Machine" Intelligence: Greening and Sustaining Smart Grids.

Natasha Balac

IEEE Intell. Syst., 2013

Biomedical CyberInfrastructure challenges.

Claudiu Farcas, Natasha Balac, Lucila Ohno-Machado

Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

Large Scale predictive analytics for real-time energy management.

Natasha Balac, Tamara B. Sipes, Nicole Wolter, Kenneth Nunes, Robert S. Sinkovits, Homa Karimabadi

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2011

Data intensive analysis on the gordon high performance data and compute system.

Robert S. Sinkovits, Pietro Cicotti, Shawn Strande, Mahidhar Tatineni, Paul Rodríguez, Nicole Wolter, Natasha Balac

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2006

TeraGrid: Analysis of Organization, System Architecture, and Middleware Enabling New Types of Applications.

Charlie Catlett, William E. Allcock, Phil Andrews, Ruth A. Aydt, Ray Bair, Natasha Balac, Bryan Banister, Trish Barker, Mark Bartelt, Peter H. Beckman, Francine Berman, Gary R. Bertoline, Alan Blatecky, Jay Boisseau, Jim Bottum, Sharon Brunett, Julian J. Bunn, Michelle Butler, David Carver, John Cobb, Tim Cockerill, Peter Couvares, Maytal Dahan, Diana Diehl, Thom H. Dunning, Ian T. Foster, Kelly P. Gaither, Dennis Gannon, Sebastien Goasguen, Michael Grobe, David L. Hart, Matt Heinzel, Chris Hempel, Wendy Huntoon, Joseph A. Insley, Christopher T. Jordan, Ivan R. Judson, Anke Kamrath, Nicholas T. Karonis, Carl Kesselman, Patricia A. Kovatch, Lex Lane, Scott A. Lathrop, Michael J. Levine, David Lifka, Lee Liming, Miron Livny, Rich Loft, Doru Marcusiu, Jim Marsteller, Stuart Martin, D. Scott McCaulay, John McGee, Laura McGinnis, Michael A. McRobbie, Paul Messina, Reagan W. Moore, Richard Lee Moore, John-Paul Navarro, Jeff Nichols, Michael E. Papka, Rob Pennington, Greg Pike, Jim Pool, Raghurama Reddy, Daniel A. Reed, Tony Rimovsky, Eric Roberts, Ralph Roskies, Sergiu Sanielevici, J. Ray Scott, Anurag Shankar, Mark Sheddon, Mike Showerman, Derek Simmel, Abe Singer, Dane Skow, Shava Smallen, Warren Smith, Carol X. Song, Rick L. Stevens, Craig A. Stewart, Robert B. Stock, Nathan Stone, John Towns, Tomislav Urban, Mike Vildibill, Edward Walker, Von Welch, Nancy Wilkins-Diehr, Roy Williams, Linda Winkler, Lan Zhao, Ann Zimmerman

Proceedings of the High Performance Computing and Grids in Action, 2006

2000

Using regression trees to learn action models.

Natasha Balac, Daniel M. Gaines, Douglas Fisher

Proceedings of the IEEE International Conference on Systems, 2000