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Sarkhan Badirli
Sarkhan Badirli
Sr. ML Research Scientist, Eli Lilly
Dirección de correo verificada de lilly.com
Título
Citado por
Citado por
Año
Gradient boosting neural networks: Grownet
S Badirli, X Liu, Z Xing, A Bhowmik, K Doan, SS Keerthi
arXiv preprint arXiv:2002.07971, 2020
772020
Coupled igmm-gans with applications to anomaly detection in human mobility data
D Smolyak, K Gray, S Badirli, G Mohler
ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (4), 1-14, 2020
52*2020
Fine-Grained Zero-Shot Learning with DNA as Side Information
S Badirli, Z Akata, G Mohler, C Picard, M Dundar
NeurIPS 2021, 2021
222021
Classifying the unknown: Insect identification with deep hierarchical Bayesian learning
S Badirli, CJ Picard, G Mohler, F Richert, Z Akata, M Dundar
Methods in Ecology and Evolution 14 (6), 1515-1530, 2023
16*2023
Bayesian Zero-Shot Learning
S Badirli, Z Akata, M Dundar
European Conference on Computer Vision (ECCV) 2020 Workshops 12535, 2020
62020
Coupled IGMM-GANs for improved generative adversarial anomaly detection
K Gray, D Smolyak, S Badirli, G Mohler
2018 IEEE International Conference on Big Data (Big Data), 2538-2541, 2018
62018
Open set authorship attribution toward demystifying Victorian periodicals
S Badirli, M Borgo Ton, A Gungor, M Dundar
Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021
52021
Image hashing by minimizing discrete component-wise wasserstein distance
KD Doan, S Manchanda, S Badirli, CK Reddy
arXiv preprint arXiv:2003.00134, 2020
52020
A Novel Machine Learning Model for Predicting Orthodontic Treatment Duration
J Volovic, S Badirli, S Ahmad, L Leavitt, T Mason, SS Bhamidipalli, ...
Diagnostics 13 (17), 2740, 2023
22023
Short- and Long-Term Prediction of the Post-Pubertal Mandibular Length and Y-Axis in Females Utilizing Machine Learning
M Parrish, E O’Connell, G Eckert, J Hughes, S Badirli, H Turkkahraman
Diagnostics 13 (17), 2729, 2023
22023
Prediction of Pubertal Mandibular Growth in Males with Class II Malocclusion by Utilizing Machine Learning
G Zakhar, S Hazime, G Eckert, A Wong, S Badirli, H Turkkahraman
Diagnostics 13 (16), 2713, 2023
22023
scRAA: the development of a robust and automatic annotation procedure for single-cell RNA sequencing data
D Yan, Z Sun, J Fang, S Cao, W Wang, X Chang, S Badirli, H Fu, Y Liu
Journal of Biopharmaceutical Statistics, 1-14, 2023
2023
Unified Energy-based Generative Network for Supervised Image Hashing
KD Doan, S Badirli, CK Reddy
Proceedings of the Asian Conference on Computer Vision, 3960-3976, 2022
2022
Data from Classifying the Unknown: Insect Identification by Deep Zero-shot Bayesian Learning
CJ Picard, M Dundar, Z Akata, S Badirli, G Mohler
IUPUI University Library, 2021
2021
Fine-Grained Bayesian Zero-Shot Object Recognition
S Badirli
Purdue University, 2021
2021
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Artículos 1–15