| Quantum algorithm implementations for beginners A Adedoyin, J Ambrosiano, P Anisimov, W Casper, G Chennupati, ... arXiv preprint arXiv:1804.03719, 2018 | 397* | 2018 |
| StressNet-Deep learning to predict stress with fracture propagation in brittle materials Y Wang, D Oyen, W Guo, A Mehta, CB Scott, N Panda, ... Npj Materials Degradation 5 (1), 6, 2021 | 93 | 2021 |
| Deep spectral CNN for laser induced breakdown spectroscopy J Castorena, D Oyen, A Ollila, C Legett, N Lanza Spectrochimica Acta Part B: Atomic Spectroscopy 178, 106125, 2021 | 55 | 2021 |
| Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning D Oyen, T Lane Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 50 | 2012 |
| Deeppatent: Large scale patent drawing recognition and retrieval M Kucer, D Oyen, J Castorena, J Wu Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 42 | 2022 |
| Bayesian discovery of multiple Bayesian networks via transfer learning D Oyen, T Lane IEEE 13th International Conference on Data Mining, 2013 | 30 | 2013 |
| A novel algorithm for skeleton extraction from images using topological graph analysis L Yang, D Oyen, B Wohlberg Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 26 | 2019 |
| Robustness to Label Noise Depends on the Shape of the Noise Distribution D Oyen, M Kucer, N Hengartner, HS Singh Advances in Neural Information Processing Systems, 2022 | 24* | 2022 |
| Learning planar Ising models JK Johnson, D Oyen, M Chertkov, P Netrapalli Journal of Machine Learning Research 17 (214), 1-26, 2016 | 23 | 2016 |
| Bayesian Networks with Prior Knowledge for Malware Phylogenetics. D Oyen, B Anderson, CM Anderson-Cook AAAI Workshop: Artificial Intelligence for Cyber Security, 2016 | 19 | 2016 |
| Transfer learning for Bayesian discovery of multiple Bayesian networks D Oyen, T Lane Knowledge and Information Systems 43 (1), 1-28, 2015 | 19 | 2015 |
| Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling N Panda, D Osthus, G Srinivasan, D O'Malley, V Chau, D Oyen, ... Journal of Computational Physics 420, 109719, 2020 | 16 | 2020 |
| Diagram image retrieval using sketch-based deep learning and transfer learning M Bhattarai, D Oyen, J Castorena, L Yang, B Wohlberg Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 16 | 2020 |
| Quantum algorithm implementations for beginners (2018) PJ Coles, S Eidenbenz, S Pakin, A Adedoyin, J Ambrosiano, P Anisimov, ... arXiv preprint arXiv:1804.03719, 1804 | 13 | 1804 |
| Image classification using topological features automatically extracted from graph representation of images L Yang, D Oyen, B Wohlberg Proceedings of the 15th International Workshop on Mining and Learning with …, 2019 | 11 | 2019 |
| Visual descriptor extraction from patent figure captions: A case study of data efficiency between BiLSTM and transformer X Wei, J Wu, K Ajayi, D Oyen Proceedings of the 22nd ACM/IEEE joint conference on digital libraries, 1-5, 2022 | 10 | 2022 |
| VisHash: Visual similarity preserving image hashing for diagram retrieval D Oyen, M Kucer, B Wohlberg Applications of machine learning 2021 11843, 50-66, 2021 | 10 | 2021 |
| MAMA User Guide v2. 0.1 BK Gaschen, JJ Bloch, R Porter, CE Ruggiero, DA Oyen, KM Schaffer Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2016 | 9 | 2016 |
| Deeppatent2: A large-scale benchmarking corpus for technical drawing understanding K Ajayi, X Wei, M Gryder, W Shields, J Wu, SM Jones, M Kucer, D Oyen Scientific Data 10 (1), 772, 2023 | 8 | 2023 |
| Fast Gaussian process estimation for large-scale in situ inference using convolutional neural networks D Banesh, N Panda, A Biswas, L Van Roekel, D Oyen, N Urban, ... 2021 IEEE International Conference on Big Data (Big Data), 3731-3739, 2021 | 8 | 2021 |
Michal KucerStaff Scientist, Los Alamos National LaboratoryVerified email at rit.edu
