"Eric O. Scott"
Title
Cited by
Cited by
Year
A quantum model of exaptation: Incorporating potentiality into evolutionary theory
L Gabora, EO Scott, S Kauffman
Progress in Biophysics and Molecular Biology 113 (1), 108-116, 2013
352013
Understanding Simple Asynchronous Evolutionary Algorithms
EO Scott, KA De Jong
FOGA'15: Foundations of Genetic Algorithms XIII, 85-98, 2015
322015
Evaluation-time bias in asynchronous evolutionary algorithms
EO Scott, KA De Jong
Proceedings of the Companion Publication of the 2015 Annual Conference oná…, 2015
182015
ECJ at 20: toward a general metaheuristics toolkit
EO Scott, S Luke
Proceedings of the genetic and evolutionary computation conference companioná…, 2019
142019
Learning genetic representations for classes of real-valued optimization problems
EO Scott, JK Bassett
Proceedings of the Companion Publication of the 2015 Annual Conference oná…, 2015
132015
Evolving simple models of diverse intrinsic dynamics in hippocampal neuron types
S Venkadesh, AO Komendantov, S Listopad, EO Scott, K De Jong, ...
Frontiers in neuroinformatics 12, 8, 2018
112018
Evaluation-time bias in quasi-generational and steady-state asynchronous evolutionary algorithms
EO Scott, KA De Jong
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 845-852, 2016
102016
An evolutionary framework for replicating neurophysiological data with spiking neural networks
EL Rounds, EO Scott, AS Alexander, KA De Jong, DA Nitz, JL Krichmar
International Conference on Parallel Problem Solving from Nature, 537-547, 2016
92016
Multitask evolution with cartesian genetic programming
EO Scott, KA De Jong
Proceedings of the Genetic and Evolutionary Computation Conference Companioná…, 2017
62017
Automating knowledge transfer with multi-task optimization
EO Scott, KA De Jong
2019 IEEE Congress on Evolutionary Computation (CEC), 2252-2259, 2019
52019
Toward learning neural network encodings for continuous optimization problems
EO Scott, KA De Jong
Proceedings of the Genetic and Evolutionary Computation Conference Companioná…, 2018
32018
Landscape features for computationally expensive evaluation functions: Revisiting the problem of noise
EO Scott, KA De Jong
International Conference on Parallel Problem Solving from Nature, 952-961, 2016
32016
Assisted Parameter and Behavior Calibration in Agent-Based Models with Distributed Optimization
M D’Auria, EO Scott, RS Lather, J Hilty, S Luke
International Conference on Practical Applications of Agents and Multi-Agentá…, 2020
12020
Library for evolutionary algorithms in Python (LEAP)
MA Coletti, EO Scott, JK Bassett
Proceedings of the 2020 Genetic and Evolutionary Computation Conferenceá…, 2020
12020
Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment
X Zou, EO Scott, AB Johnson, K Chen, DA Nitz, KA De Jong, JL Krichmar
arXiv preprint arXiv:2102.12638, 2021
2021
Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors.
M D'Auria, EO Scott, RS Lather, J Hilty, S Luke
AAMAS, 1828-1830, 2020
2020
Automated Narrative Extraction from Administrative Records.
K Megerdoomian, K Branting, C Horowitz, A Marsh, S Petersen, E Scott
AIAS@ ICAIL, 38-48, 2019
2019
Text Mining for Quality Control of Court Records
EO Scott, H Vafaie, Z Gungordu, CE Horowitz, BC Brown
Workshop on the Semantic Analysis of Documents at DocEng 2014, 2014
2014
GMU CS Foundations Ph. D. Qualifying Exam Preparation Notes
EO Scott
2014
GMU Artificial Intelligence Ph. D. Qualifying Exam Preparation
EO Scott
2014
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Articles 1–20