Fotis Psallidas

According to our database, Fotis Psallidas authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Rapidash: Efficient Detection of Constraint Violations.

Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou

Proc. VLDB Endow., April, 2024

NL2SQL is a solved problem... Not!

Avrilia Floratou, Fotis Psallidas, Fuheng Zhao, Shaleen Deep, Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi, Jordan Henkel, Abhik Singla, Alex Van Grootel, Brandon Chow, Kai Deng, Katherine Lin, Marcos Campos, K. Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, Carlo Curino

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs.

Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

Proc. VLDB Endow., 2023

Optimizing Data Pipelines for Machine Learning in Feature Stores.

Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez

Proc. VLDB Endow., 2023

Rapidash: Efficient Constraint Discovery via Rapid Verification.

Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou

CoRR, 2023

Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.

Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Schema Matching using Pre-Trained Language Models.

Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos

SIGMOD Rec., 2022

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs.

Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

CoRR, 2022

2021

SEIZE: Runtime Inspection for Parallel Dataflow Systems.

Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo

IEEE Trans. Parallel Distributed Syst., 2021

2020

Vamsa: Tracking Provenance in Data Science Scripts.

Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu

CoRR, 2020

Vamsa: Automated Provenance Tracking in Data Science Scripts.

Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

SEIZE User Desired Moments: Runtime Inspection for Parallel Dataflow Systems.

Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Extending Relational Query Processing with ML Inference.

Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.

Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Physical Plan Instrumentation in Databases: Mechanisms and Applications.

Fotis Psallidas

PhD thesis, 2019

Data Science through the looking glass and what we found there.

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer

CoRR, 2019

2018

Smoke: Fine-grained Lineage at Interactive Speed.

Fotis Psallidas, Eugene Wu

Proc. VLDB Endow., 2018

Provenance for Interactive Visualizations.

Fotis Psallidas, Eugene Wu

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2018

Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications.

Fotis Psallidas, Eugene Wu

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Combining Design and Performance in a Data Visualization Management System.

Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, Laura Rettig

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

DiVA: Using Application-Specific Policies to 'Dive' into Vector Approximations.

Konstantinos Tsakalozos, Spiros Evangelatos, Fotis Psallidas, Marcos R. Vieira, Vassilis J. Tsotras, Alex Delis

Comput. J., 2016

2015

S4: Top-k Spreadsheet-Style Search for Query Discovery.

Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2013

Effective Event Identification in Social Media.

Fotis Psallidas, Hila Becker, Mor Naaman, Luis Gravano

IEEE Data Eng. Bull., 2013

Soc Web: Efficient Monitoring of Social Network Activities.

Fotis Psallidas, Alexandros Ntoulas, Alex Delis

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013