Ilknur Icke
Ilknur Icke
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Improving genetic programming based symbolic regression using deterministic machine learning
I Icke, JC Bongard
2013 IEEE Congress on Evolutionary Computation, 1763-1770, 2013
Mapping adolescent reward anticipation, receipt, and prediction error during the monetary incentive delay task
Z Cao, M Bennett, C Orr, I Icke, T Banaschewski, GJ Barker, ALW Bokde, ...
Human brain mapping 40 (1), 262-283, 2019
Re-engineering the GIS&T Body of Knowledge
SC Ahearn, I Icke, R Datta, MN DeMers, B Plewe, A Skupin
International Journal of Geographical Information Science 27 (11), 2227-2245, 2013
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images
D Zhang, I Icke, B Dogdas, S Parimal, S Sampath, J Forbes, A Bagchi, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Ventral striatum connectivity during reward anticipation in adolescent smokers
L Jollans, C Zhipeng, I Icke, C Greene, C Kelly, T Banaschewski, ...
Developmental neuropsychology 41 (1-2), 6-21, 2016
Visual analytics: A multifaceted overview
I Icke, E Sklar, 1-23, 2009
Multi-objective genetic programming for visual analytics
I Icke, A Rosenberg
European Conference on Genetic Programming, 322-334, 2011
Automated measures for interpretable dimensionality reduction for visual classification: A user study
I Icke, A Rosenberg
2011 IEEE Conference on Visual Analytics Science and Technology (VAST), 281-282, 2011
Content based 3d shape retrieval, a survey of state of the art
I Icke
Computer science phd program 2nd exam part 1, 2004
Transfer learning for the fully automatic segmentation of left ventricle myocardium in porcine cardiac cine MR images
A Chen, T Zhou, I Icke, S Parimal, B Dogdas, J Forbes, S Sampath, ...
International Workshop on Statistical Atlases and Computational Models of …, 2017
Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning
T Zhou, I Icke, B Dogdas, S Parimal, S Sampath, J Forbes, A Bagchi, ...
Medical Imaging 2017: Image Processing 10133, 540-547, 2017
A deterministic and symbolic regression hybrid applied to resting-state fmri data
I Icke, NA Allgaier, CM Danforth, RA Whelan, HP Garavan, JC Bongard
Genetic Programming Theory and Practice XI, 155-173, 2014
Knowledge reference system and method
A Skupin, BS Plewe, S Ahearn, I Icke
US Patent App. 14/634,493, 2015
A visualization tool for student assessments data
I Icke, E Sklar
From Theory to Practice: Design, Vision and Visualization Workshop, 2008
Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM
D Zhang, I Icke, B Dogdas, S Parimal, S Sampath, J Forbes, A Bagchi, ...
Medical Imaging 2018: Image Processing 10574, 52-58, 2018
Visual and semantic interpretability of projections of high dimensional data for classification tasks
I Icke, A Rosenberg
arXiv preprint arXiv:1205.4776, 2012
Using simulation to evaluate data-driven agents
E Sklar, I Icke
International Workshop on Multi-Agent Systems and Agent-Based Simulation, 71-84, 2008
Using simulation to evaluate data-driven agent-based learning partners
I Icke, E Sklar
Ninth International Workshop on Multi-agent-based Simulation (MABS’08) at …, 2008
Multi-objective genetic programming projection pursuit for exploratory data modeling
I Icke, A Rosenberg
arXiv preprint arXiv:1010.1888, 2010
Dimensionality reduction using symbolic regression
I Icke, A Rosenberg
Proceedings of the 12th annual conference companion on Genetic and …, 2010
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