| Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment S Pavia, R Khan, A Pyayt, M Gubanov Proceedings of the 2022 International Conference on Management of Data, 2377 …, 2022 | 2 | 2022 |
| Learning Tabular Embeddings at Web Scale S Pavia, M Shams, R Khan, A Pyayt, M Gubanov 2021 IEEE International Conference on Big Data (Big Data), 4936-4944, 2021 | 2 | 2021 |
| Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles M Gubanov, A Pyayt, S Pavia 2022 IEEE International Conference on Big Data (Big Data), 734-739, 2022 | 1 | 2022 |
| Hybrid Metadata Classification in Large-scale Structured Datasets. S Pavia, N Piraino, K Islam, A Pyayt, MN Gubanov J. Data Intell. 3 (4), 460-473, 2022 | 1 | 2022 |
| Towards Unveiling Dark Web Structured Data M Shams, S Pavia, R Khan, A Pyayt, M Gubanov 2021 IEEE International Conference on Big Data (Big Data), 5275-5282, 2021 | 1 | 2021 |
| Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets 𝑀 𝐺𝑢𝑏𝑎𝑛𝑜𝑣, 𝐴 𝑃𝑦𝑎𝑦𝑡, 𝑆 𝑃𝑎𝑣𝑖𝑎 | | 2023 |
| Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets. MN Gubanov, A Pyayt, S Pavia DOLAP, 86-90, 2023 | | 2023 |
| Designing Equitable Transit Networks S Pavia, J Mori, A Sharma, P Pugliese, A Dubey, S Samaranayake, ... arXiv preprint arXiv:2212.12007, 2022 | | 2022 |
| Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings M Gubanov, S Pavia, A Pyayt, W Goble Proceedings of the 31st ACM International Conference on Information …, 2022 | | 2022 |
Michael GubanovMassachussets Institute of Technology (MIT)Verified email at mit.edu
