| Using drive-by health monitoring to detect bridge damage considering environmental and operational effects W Locke, J Sybrandt, L Redmond, I Safro, S Atamturktur Journal of Sound and Vibration 468, 115088, 2020 | 73 | 2020 |
| MOLIERE: Automatic Biomedical Hypothesis Generation System J Sybrandt, M Shtutman, I Safro ACM SIGKDD International Conference on Knowledge Discovery and Data Mining …, 2017 | 56 | 2017 |
| To Agile, or not to Agile: A Comparison of Software Development Methodologies R Shaydulin, J Sybrandt arXiv preprint arXiv:1704.07469, 2017 | 30 | 2017 |
| Large-scale validation of hypothesis generation systems via candidate ranking J Sybrandt, M Shtutman, I Safro 2018 IEEE International Conference on Big Data (Big Data), 1494-1503, 2018 | 22* | 2018 |
| Inhibition of the DDX3 prevents HIV-1 Tat and cocaine-induced neurotoxicity by targeting microglia activation M Aksenova, J Sybrandt, B Cui, V Sikirzhytski, H Ji, D Odhiambo, ... bioRxiv, 591438, 2019 | 20* | 2019 |
| Are Abstracts Enough for Hypothesis Generation? J Sybrandt, A Carrabba, A Herzog, I Safro IEEE International Conference on Big Data (Big Data), 1504-1513, 2018 | 18 | 2018 |
| AGATHA: automatic graph mining and transformer based hypothesis generation approach J Sybrandt, I Tyagin, M Shtutman, I Safro Proceedings of the 29th ACM International Conference on Information …, 2020 | 17 | 2020 |
| FOBE and HOBE: First-and high-order bipartite embeddings J Sybrandt, I Safro arXiv preprint arXiv:1905.10953, 2019 | 12 | 2019 |
| Accelerating text mining using domain-specific stop word lists F Alshanik, A Apon, A Herzog, I Safro, J Sybrandt 2020 IEEE international conference on big data (big data), 2639-2648, 2020 | 10 | 2020 |
| Hypergraph partitioning with embeddings J Sybrandt, R Shaydulin, I Safro IEEE Transactions on Knowledge and Data Engineering 34 (6), 2771-2782, 2020 | 10 | 2020 |
| CBAG: Conditional biomedical abstract generation J Sybrandt, I Safro Plos one 16 (7), e0253905, 2021 | 5 | 2021 |
| Accelerating COVID-19 research with graph mining and transformer-based learning I Tyagin, A Kulshrestha, J Sybrandt, K Matta, M Shtutman, I Safro Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12673 …, 2022 | 3 | 2022 |
| Unsupervised hierarchical graph representation learning by mutual information maximization F Ding, X Zhang, J Sybrandt, I Safro arXiv preprint arXiv:2003.08420, 2020 | 2 | 2020 |
| First-and High-Order Bipartite Embeddings J Sybrandt, I Safro submitted, 2019 | 2 | 2019 |
| Literature-based Discovery for Landscape Planning D Marasco, I Tyagin, J Sybrandt, JH Spencer, I Safro arXiv preprint arXiv:2306.02588, 2023 | 1 | 2023 |
| SmartChoices: Augmenting Software with Learned Implementations D Golovin, G Bartok, E Chen, E Donahue, TK Huang, E Kokiopoulou, ... arXiv preprint arXiv:2304.13033, 2023 | 1 | 2023 |
| Exploiting Latent Features of Text and Graphs J Sybrandt Clemson University, 2020 | 1 | 2020 |
| Drugs repurposing for the treatment of HIV-Associated Neurocognitive Disorder by AI-based literature mining M Aksenova, B Cui, J Sybrand, D Odhiambo, M Lucius, H Ji | | |
| Rapid Replication of Multi-Petabyte File Systems J Sybrandt, J Hick | | |
Ilya SafroAssociate Professor of Computer Science, University of DelawareVerified email at udel.edu
