Una-May O'Reilly

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Coauteurs

Erik HembergResearch Scientist, MIT CSAILAdresse e-mail validée de csail.mit.edu
Kalyan VeeramachaneniPrincipal Research Scientist, Massachusetts Institute of TechnologyAdresse e-mail validée de csail.mit.edu
Saman AmarasingheMITAdresse e-mail validée de mit.edu
James McDermottUniversity of Galway (formerly National University of Ireland, Galway)Adresse e-mail validée de nuigalway.ie
Varun AggarwalAspiring MindsAdresse e-mail validée de aspiringminds.com
Krzysztof KrawiecProfessor of Computer Science, Poznan University of TechnologyAdresse e-mail validée de cs.put.poznan.pl
Muriel MedardProfessor of EECS, MITAdresse e-mail validée de mit.edu
Martin HembergBrigham and Women's HospitalAdresse e-mail validée de bwh.harvard.edu
Franck DernoncourtNLP/ML Researcher. MIT PhD.Adresse e-mail validée de adobe.com
Frank NeumannOptimisation and Logistics, School of ComputerAdresse e-mail validée de adelaide.edu.au
Lee SpectorProfessor of Computer Science, Amherst CollegeAdresse e-mail validée de amherst.edu
Paul FitzpatrickGrist LabsAdresse e-mail validée de alum.mit.edu
David E. GoldbergFounder & President, ThreeJoy Associates, Inc. & Professor Emeritus, UIUCAdresse e-mail validée de threejoy.com
Minkyu KimState Street Global AdvisorsAdresse e-mail validée de alum.mit.edu

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Una-May O'Reilly

MIT, CSAIL, Any Scale Learning for All (ALFA) Group

Adresse e-mail validée de csail.mit.edu - Page d'accueil

Evolutionary algorithms and machine learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	735	2014
Advances in genetic programming KE Kinnear, PJ Angeline MIT press, 1994	574	1994
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	382	2003
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	320	2012
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	274	2013
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	221	2018
Distributed, multi-model, self-learning platform for machine learning WD Drevo, KK Veeramachaneni, U O'reilly US Patent App. 14/598,628, 2016	212	2016
The Troubling Aspects of a Building Block Hypothesis for Genetic Programming UM O'Reilly, F Oppacher	190	1995
Likely to stop? predicting stopout in massive open online courses C Taylor, K Veeramachaneni, UM O'Reilly arXiv preprint arXiv:1408.3382, 2014	183	2014
Multiple regression genetic programming I Arnaldo, K Krawiec, UM O'Reilly Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014	157	2014
An analysis of genetic programming. UM O'Reilly Carleton University, 1995	148	1995
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	145	2015
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	144	1994
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	137	2007
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	123	2004
Quantum computing applications of genetic programming L Spector, H Barnum, HJ Bernstein, N Swamy	116	1999
Using a distance metric on genetic programs to understand genetic operators UM O'Reilly 1997 IEEE International Conference on Systems, Man, and Cybernetics …, 1997	109	1997
Building predictive models via feature synthesis I Arnaldo, UM O'Reilly, K Veeramachaneni Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015	105	2015
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	103	2020
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	98	2014

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