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Gossmann, Alexej
33  results:
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1

Methodology for Good Machine Learning with Multi‐Omics Data:

Coroller, Thibaud ; Sahiner, Berkman ; Amatya, Anup...
Clinical Pharmacology & Therapeutics.  115 (2024)  4 - p. 745-757 , 2024
Link: https://doi.org/10.1002/..
 
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2

Considerations in the assessment of machine learning algori..:

, In: Deep Learning for Medical Image Analysis,
Gossmann, Alexej ; Sahiner, Berkman ; Samala, Ravi K.... - p. 473-507 , 2024
Link: https://doi.org/10.1016/..
 
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3

Contributors:

, In: Deep Learning for Medical Image Analysis,
Bian, Cheng ; Burt, Alastair D. ; Cao, Xiaohuan... - p. xv-xxii , 2024
Link: https://doi.org/10.1016/..
 
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4

Workshop on Applied Data Science for Healthcare: Applicatio..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Xu, Tao ; Wang, Fei ; Chakraborty, Prithwish... - p. 5893-5894 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Deep Unsupervised Clustering for Conditional Identification..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2023,
Sidulova, Mariia ; Sun, Xudong ; Gossmann, Alexej - p. 666-675 , 2023
Link: https://doi.org/10.1007/..
 
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6

Workshop on Applied Data Science for Healthcare (DSHealth) ..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Xu, Tao ; Wang, Fei ; Chakraborty, Prithwish... - p. 4908-4909 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Bayesian logistic regression for online recalibration and r..:

Feng, Jean ; Gossmann, Alexej ; Sahiner, Berkman.
Journal of the American Medical Informatics Association.  29 (2022)  5 - p. 841-852 , 2022
Link: https://doi.org/10.1093/..
 
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8

Test Data Reuse for the Evaluation of Continuously Evolving..:

Gossmann, Alexej ; Pezeshk, Aria ; Wang, Yu-Ping.
SIAM Journal on Mathematics of Data Science.  3 (2021)  2 - p. 692-714 , 2021
Link: https://doi.org/10.1137/..
 
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9

Discussion on "Approval policies for modifications to machi..:

Pennello, Gene ; Sahiner, Berkman ; Gossmann, Alexej.
Biometrics.  77 (2020)  1 - p. 45-48 , 2020
Link: https://doi.org/10.1111/..
 
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10

Variational Resampling Based Assessment of Deep Neural Netw..:

, In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI),
Sun, Xudong ; Gossmann, Alexej ; Wang, Yu. - p. 1344-1353 , 2019
Link: https://doi.org/10.1109/..
 
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11

A Sparse Regression Method for Group-Wise Feature Selection..:

Gossmann, Alexej ; Cao, Shaolong ; Brzyski, Damian...
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).  15 (2018)  4 - p. 1066-1078 , 2018
Link: https://dl.acm.org/doi/1..
 
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12

FDR-Corrected Sparse Canonical Correlation Analysis With Ap..:

Gossmann, Alexej ; Zille, Pascal ; Calhoun, Vince.
IEEE Transactions on Medical Imaging.  37 (2018)  8 - p. 1761-1774 , 2018
Link: https://doi.org/10.1109/..
 
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13

Group SLOPE – Adaptive Selection of Groups of Predictors:

Brzyski, Damian ; Gossmann, Alexej ; Su, Weijie.
Journal of the American Statistical Association.  114 (2018)  525 - p. 419-433 , 2018
Link: https://doi.org/10.1080/..
 
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14

A Sparse Regression Method for Group-Wise Feature Selection..:

Gossmann, Alexej ; Cao, Shaolong ; Brzyski, Damian...
IEEE/ACM Transactions on Computational Biology and Bioinformatics.  15 (2018)  4 - p. 1066-1078 , 2018
Link: https://doi.org/10.1109/..
 
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15

Unified tests for fine-scale mapping and identifying sparse..:

Cao, Shaolong ; Qin, Huaizhen ; Gossmann, Alexej..
Bioinformatics.  32 (2015)  3 - p. 330-337 , 2015
Link: https://doi.org/10.1093/..
 
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