Mitra, A., Gorenflo, C., Golab, L., & Keshav, S. (2021). TimeFabric: Trusted Time for Permissioned Blockchains Presented at the TimeFabric: Trusted Time for Permissioned Blockchains conference. https://doi.org/10.4230/OASIcs.FAB.2021.4
References
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2021
Pradeep, R., Ma, X., Nogueira, R. F., & Lin, J. (2021). Scientific Claim Verification With VerT5erini Presented at the Scientific Claim Verification With VerT5erini conference. Retrieved from https://www.aclweb.org/anthology/2021.louhi-1.11/
Brown, D. G., Byl, L., & Grossman, M. (2021). Are Machine Learning Corpora "Fair Dealing" Under Canadian Law? Presented at the Are Machine Learning Corpora "Fair Dealing" Under Canadian Law? conference. Retrieved from https://computationalcreativity.net/iccc21/wp-content/uploads/2021/09/ICCC_2021_paper_68.pdf
Ng, Y. K., Fraser, D. J., Kassaie, B., & Tompa, F. (2021). Dowsing for Math Answers Presented at the Dowsing for Math Answers conference. https://doi.org/10.1007/978-3-030-85251-1_16
Suri, S., Ilyas, I., e, C. R., & Rekatsinas, T. (2021). Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins Proceedings of the VLDB Endowment (PVLDB), 15, 699-712. Retrieved from http://www.vldb.org/pvldb/vol15/p699-suri.pdf
Mohapatra, S., Sasy, S., He, X., Kamath, G., & Thakkar, O. (2021). The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection ArXiv, abs/2111.04906. Retrieved from https://arxiv.org/abs/2111.04906
Tang, R., Kumar, K., Chalkley, K., Xin, J., Zhang, L., Li, W., … Lin, J. (2021). Voice Query Auto Completion Presented at the Voice Query Auto Completion conference. Retrieved from https://aclanthology.org/2021.emnlp-main.68
Zhong, W., Zhang, X., Xin, J., Zanibbi, R., & Lin, J. (2021). Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens Presented at the Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens conference. Retrieved from http://ceur-ws.org/Vol-2936/paper-09.pdf
Covington, C., He, X., Honaker, J., & Kamath, G. (2021). Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy ArXiv, abs/2110.14465. Retrieved from https://arxiv.org/abs/2110.14465
2020
Ozsu, T. (2020). A Systematic View of Data Science IEEE Data Engineering Bulletin, 43, 3-11. Retrieved from http://sites.computer.org/debull/A20sept/p3.pdf