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Una-May O'Reilly
Una-May O'Reilly
MIT, CSAIL, Any Scale Learning for All (ALFA) Group
Adresă de e-mail confirmată pe csail.mit.edu - Pagina de pornire
Titlu
Citat de
Citat de
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Opentuner: An extensible framework for program autotuning
J Ansel, S Kamil, K Veeramachaneni, J Ragan-Kelley, J Bosboom, ...
Proceedings of the 23rd international conference on Parallel architectures …, 2014
7492014
Advances in genetic programming
KE Kinnear, PJ Angeline
MIT press, 1994
5741994
Meta optimization: Improving compiler heuristics with machine learning
M Stephenson, S Amarasinghe, M Martin, UM O'Reilly
ACM sigplan notices 38 (5), 77-90, 2003
3842003
Genetic programming needs better benchmarks
J McDermott, DR White, S Luke, L Manzoni, M Castelli, L Vanneschi, ...
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
3232012
Better GP benchmarks: community survey results and proposals
DR White, J McDermott, M Castelli, L Manzoni, BW Goldman, ...
Genetic Programming and Evolvable Machines 14, 3-29, 2013
2772013
Adversarial deep learning for robust detection of binary encoded malware
A Al-Dujaili, A Huang, E Hemberg, UM O’Reilly
2018 IEEE Security and Privacy Workshops (SPW), 76-82, 2018
2302018
Distributed, multi-model, self-learning platform for machine learning
WD Drevo, KK Veeramachaneni, U O'reilly
US Patent App. 14/598,628, 2016
2192016
The Troubling Aspects of a Building Block Hypothesis for Genetic Programming
UM O'Reilly, F Oppacher
1901995
Likely to stop? predicting stopout in massive open online courses
C Taylor, K Veeramachaneni, UM O'Reilly
arXiv preprint arXiv:1408.3382, 2014
1862014
Multiple regression genetic programming
I Arnaldo, K Krawiec, UM O'Reilly
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
1662014
An analysis of genetic programming.
UM O'Reilly
Carleton University, 1995
1481995
Autotuning algorithmic choice for input sensitivity
Y Ding, J Ansel, K Veeramachaneni, X Shen, UM O’Reilly, ...
ACM SIGPLAN Notices 50 (6), 379-390, 2015
1472015
Program search with a hierarchical variable length representation: Genetic programming, simulated annealing and hill climbing
UM O'Reilly, F Oppacher
International Conference on Parallel Problem Solving from Nature, 397-406, 1994
1441994
Evolutionary Approaches To Minimizing Network Coding Resources.
M Kim, M Médard, V Aggarwal, UM O'Reilly, W Kim, CW Ahn, M Effros
INFOCOM, 1991-1999, 2007
1372007
Sensing and manipulating built-for-human environments
R Brooks, L Aryananda, A Edsinger, P Fitzpatrick, CC Kemp, UM O'reilly, ...
International Journal of Humanoid Robotics 1 (01), 1-28, 2004
1252004
Quantum computing applications of genetic programming
L Spector, H Barnum, HJ Bernstein, N Swamy
1181999
Using a distance metric on genetic programs to understand genetic operators
UM O'Reilly
1997 IEEE International Conference on Systems, Man, and Cybernetics …, 1997
1091997
Comprehension of computer code relies primarily on domain-general executive brain regions
AA Ivanova, S Srikant, Y Sueoka, HH Kean, R Dhamala, UM O'reilly, ...
elife 9, e58906, 2020
1082020
Building predictive models via feature synthesis
I Arnaldo, UM O'Reilly, K Veeramachaneni
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015
1062015
Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems
P Fazenda, K Veeramachaneni, P Lima, UM O'Reilly
Journal of Ambient Intelligence and Smart Environments 6 (6), 675-690, 2014
1022014
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