| Gradient boosting neural networks: Grownet S Badirli, X Liu, Z Xing, A Bhowmik, K Doan, SS Keerthi arXiv preprint arXiv:2002.07971, 2020 | 102 | 2020 |
| 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 | 60* | 2020 |
| Fine-Grained Zero-Shot Learning with DNA as Side Information S Badirli, Z Akata, G Mohler, C Picard, M Dundar NeurIPS 2021, 2021 | 34 | 2021 |
| 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 | 27* | 2023 |
| 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 | 9 | 2021 |
| Bayesian Zero-Shot Learning S Badirli, Z Akata, M Dundar European Conference on Computer Vision (ECCV) 2020 Workshops 12535, 2020 | 7 | 2020 |
| 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 | 7 | 2018 |
| 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 | 5 | 2023 |
| 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 | 5 | 2023 |
| Image hashing by minimizing discrete component-wise wasserstein distance KD Doan, S Manchanda, S Badirli, CK Reddy arXiv preprint arXiv:2003.00134, 2020 | 5 | 2020 |
| 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 | 3 | 2023 |
| 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 |
| Classifying the Unknown: Identification of Insects by Deep Zero-shot Bayesian Learning Supplementary Material S Badirli, CJ Picard, G Mohler, Z Akata, M Dundar | | |
George MohlerDaniel J. Fitzgerald Professor of Computer Science, Boston CollegeDirección de correo verificada de bc.edu
