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Cemgil, A. Taylan
220  Ergebnisse:
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1

Generative models improve fairness of medical classifiers u..:

Ktena, Ira ; Wiles, Olivia ; Albuquerque, Isabela...
Nature Medicine.  30 (2024)  4 - p. 1166-1173 , 2024
Link: https://doi.org/10.1038/..
 
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2

Faster sorting algorithms discovered using deep reinforceme..:

Mankowitz, Daniel J. ; Michi, Andrea ; Zhernov, Anton...
Nature.  618 (2023)  7964 - p. 257-263 , 2023
Link: https://doi.org/10.1038/..
 
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3

Probabilistic indoor tracking of Bluetooth Low-Energy beaco..:

Daniş, F. Serhan ; Ersoy, Cem ; Cemgil, A. Taylan
Performance Evaluation.  162 (2023)  - p. 102374 , 2023
Link: https://doi.org/10.1016/..
 
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4

Enhancing the reliability and accuracy of AI-enabled diagno..:

Dvijotham, Krishnamurthy ; Winkens, Jim ; Barsbey, Melih...
Nature Medicine.  , 2023
Link: https://doi.org/10.1038/..
 
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5

Does your dermatology classifier know what it doesn't know?..:

Guha Roy, Abhijit ; Ren, Jie ; Azizi, Shekoofeh...
Medical Image Analysis.  75 (2022)  - p. 102274 , 2022
Link: https://doi.org/10.1016/..
 
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6

An indoor localization dataset and data collection framewor..:

Daniş, F. Serhan ; Naskali, A. Teoman ; Cemgil, A. Taylan.
Pervasive and Mobile Computing.  81 (2022)  - p. 101554 , 2022
Link: https://doi.org/10.1016/..
 
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7

Tracking a Mobile Beacon: A Purely Probabilistic Approach:

, In: 2022 30th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS),
Danis, F. Serhan ; Ersoy, Cem ; Cemgil, A. Taylan - p. 160-167 , 2022
Link: https://doi.org/10.1109/..
 
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8

Adaptive Sequential Monte Carlo Filter for Indoor Positioni..:

Danis, F. Serhan ; Cemgil, A. Taylan ; Ersoy, Cem
IEEE Access.  9 (2021)  - p. 37022-37038 , 2021
Link: https://doi.org/10.1109/..
 
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9

Data Sharing via Differentially Private Coupled Matrix Fact..:

Ermiş, Beyza ; Cemgİl, A. Taylan
ACM Transactions on Knowledge Discovery from Data.  14 (2020)  3 - p. 1-27 , 2020
Link: https://doi.org/10.1145/..
 
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10

Data Sharing via Differentially Private Coupled Matrix Fact..:

Ermiş, Beyza ; Cemgİl, A. Taylan
ACM Transactions on Knowledge Discovery from Data (TKDD).  14 (2020)  3 - p. 1-27 , 2020
Link: https://dl.acm.org/doi/1..
 
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11

Achieving Robustness in the Wild via Adversarial Mixing Wit..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Gowal, Sven ; Qin, Chongli ; Huang, Po-Sen... - p. 1208-1217 , 2020
Link: https://doi.org/10.1109/..
 
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12

Active Learning with Bayesian Nonnegative Matrix Factorizat..:

, In: 2019 27th Signal Processing and Communications Applications Conference (SIU),
Ayci, Gonul ; Koksal, Abdullatif ; Mutlu, M. Melih.. - p. 1-4 , 2019
Link: https://doi.org/10.1109/..
 
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13

A framework for parallel second order incremental optimizat..:

Kaya, Kamer ; Öztoprak, Figen ; Birbil, Ş. İlker...
Computational Optimization and Applications.  72 (2019)  3 - p. 675-705 , 2019
Link: https://doi.org/10.1007/..
 
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14

Parallelizing particle filters with butterfly interactions:

Heine, Kari ; Whiteley, Nick ; Cemgil, A.Taylan
Scandinavian Journal of Statistics.  47 (2019)  2 - p. 361-396 , 2019
Link: https://doi.org/10.1111/..
 
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15

Model selection for relational data factorization:

, In: 2019 27th Signal Processing and Communications Applications Conference (SIU),
Hızlı, Caglar ; Cemgil, Taylan ; Kırbız, Serap - p. 1-4 , 2019
Link: https://doi.org/10.1109/..
 
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