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Ilknur Icke
Ilknur Icke
Director of Applied Machine Learning, Bayer
Verified email at bu.edu - Homepage
Title
Cited by
Cited by
Year
Improving genetic programming based symbolic regression using deterministic machine learning
I Icke, JC Bongard
2013 IEEE Congress on Evolutionary Computation, 1763-1770, 2013
902013
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
892019
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
392013
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
342018
JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations
SN Chandrasekaran, J Ackerman, E Alix, DM Ando, J Arevalo, M Bennion, ...
Biorxiv, 2023.03. 23.534023, 2023
272023
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
222016
Visual analytics: A multifaceted overview
I Icke, E Sklar
https://academicworks.cuny.edu/gc_cs_tr/326/, 1-23, 2009
162009
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, ...
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018
152018
Multi-objective genetic programming for visual analytics
I Icke, A Rosenberg
European Conference on Genetic Programming, 322-334, 2011
152011
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
142017
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
142011
Content based 3d shape retrieval, a survey of state of the art
I Icke
Computer science phd program 2nd exam part 1, 2004
132004
Knowledge reference system and method
A Skupin, BS Plewe, S Ahearn, I Icke
US Patent 11,436,270, 2022
102022
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
92014
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
62018
A visualization tool for student assessments data
I Icke, E Sklar
From Theory to Practice: Design, Vision and Visualization Workshop, 2008
62008
Integrating inflammatory biomarker analysis and artificial-intelligence-enabled image-based profiling to identify drug targets for intestinal fibrosis
S Yu, AA Kalinin, MD Paraskevopoulou, M Maruggi, J Cheng, J Tang, ...
Cell Chemical Biology 30 (9), 1169-1182. e8, 2023
42023
Multi-level convolutional LSTM model for the segmentation of MR images
A Chen, D Zhang, I Icke, B Dogdas, S Parimal
US Patent 11,030,750, 2021
42021
Visual and semantic interpretability of projections of high dimensional data for classification tasks
I Icke, A Rosenberg
arXiv preprint arXiv:1205.4776, 2012
32012
Dimensionality reduction using symbolic regression
I Icke, A Rosenberg
Proceedings of the 12th annual conference companion on Genetic and …, 2010
32010
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Articles 1–20