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Fotis Psallidas
Fotis Psallidas
Principal RSDE, Microsoft
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Smoke: Fine-grained lineage at interactive speed
F Psallidas, E Wu
arXiv preprint arXiv:1801.07237, 2018
902018
S4: Top-k spreadsheet-style search for query discovery
F Psallidas, B Ding, K Chakrabarti, S Chaudhuri
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
732015
Extending relational query processing with ML inference
K Karanasos, M Interlandi, D Xin, F Psallidas, R Sen, K Park, I Popivanov, ...
arXiv preprint arXiv:1911.00231, 2019
672019
Vamsa: Automated provenance tracking in data science scripts
MH Namaki, A Floratou, F Psallidas, S Krishnan, A Agrawal, Y Wu, Y Zhu, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
61*2020
Data science through the looking glass: Analysis of millions of github notebooks and ml. net pipelines
F Psallidas, Y Zhu, B Karlas, J Henkel, M Interlandi, S Krishnan, B Kroth, ...
ACM SIGMOD Record 51 (2), 30-37, 2022
53*2022
Combining Design and Performance in a Data Visualization Management System.
E Wu, F Psallidas, Z Miao, H Zhang, L Rettig, Y Wu, T Sellam
CIDR, 2017
402017
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ...
arXiv preprint arXiv:1909.00084, 2019
362019
Effective Event Identification in Social Media.
F Psallidas, H Becker, M Naaman, L Gravano
IEEE Data Eng. Bull. 36 (3), 42-50, 2013
352013
Provenance for interactive visualizations
F Psallidas, E Wu
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-8, 2018
202018
Soc Web: Efficient Monitoring of Social Network Activities
F Psallidas, A Ntoulas, A Delis
International Conference on Web Information Systems Engineering, 118-136, 2013
162013
Demonstration of smoke: A deep breath of data-intensive lineage applications
F Psallidas, E Wu
Proceedings of the 2018 International Conference on Management of Data, 1781 …, 2018
82018
Schema matching using pre-trained language models
Y Zhang, A Floratou, J Cahoon, S Krishnan, AC Müller, D Banda, ...
2023 IEEE 39th International Conference on Data Engineering (ICDE), 1558-1571, 2023
62023
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs [Technical Report]
F Psallidas, A Agrawal, C Sugunan, K Ibrahim, K Karanasos, ...
arXiv preprint arXiv:2210.14047, 2022
32022
SEIZE: Runtime Inspection for Parallel Dataflow Systems
Y Li, M Interlandi, F Psallidas, W Wang, C Zaniolo
IEEE Transactions on Parallel and Distributed Systems 32 (4), 842-854, 2020
22020
SEIZE User Desired Moments: Runtime Inspection for Parallel Dataflow Systems
Y Li, M Interlandi, F Psallidas, W Wang, C Zaniolo
2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020
12020
Linguistic schema mapping via semi-supervised learning
A Floratou, JY Cahoon, SV Krishnan, AC Mueller, DH Banda, F Psallidas, ...
US Patent App. 17/827,688, 2023
2023
Rapidash: Efficient Constraint Discovery via Rapid Verification
Z Liu, S Deep, A Fariha, F Psallidas, A Tiwari, A Floratou
arXiv preprint arXiv:2309.12436, 2023
2023
Optimizing Data Pipelines for Machine Learning in Feature Stores
R Liu, K Park, F Psallidas, X Zhu, J Mo, R Sen, M Interlandi, K Karanasos, ...
Proceedings of the VLDB Endowment 16 (13), 4230-4239, 2023
2023
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Query Event Logs
F Psallidas, A Agrawal, C Sugunan, K Ibrahim, K Karanasos, ...
Proceedings of the VLDB Endowment 16 (12), 3662-3675, 2023
2023
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts
F Psallidas, ME Leszczynski, MH Namaki, A Floratou, A Agrawal, ...
Companion of the 2023 International Conference on Management of Data, 123-126, 2023
2023
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