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Ibrahim Sabek
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2020 – today
- 2024
- [j10]Wenjia He, Ibrahim Sabek, Yuze Lou, Michael J. Cafarella:
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge. Proc. VLDB Endow. 17(7): 1751-1764 (2024) - [j9]Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou:
Front Matter. Proc. VLDB Endow. 17(12) (2024) - [c21]Markos Markakis
, Ziyu Zhang
Press ECCS to Doubt (Your Causal Graph). GUIDE-AI@SIGMOD 2024: 6-15 - [c20]Pranshi Saxena
Constrained Quadratic Model for Optimizing Join Orders. Q-DATA@SIGMOD 2024 - [c19]Markos Markakis
Sawmill: From Logs to Causal Diagnosis of Large Systems. SIGMOD Conference Companion 2024: 444-447 - [c18]Ibrahim Sabek
First Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data). SIGMOD Conference Companion 2024: 663-664 - [e1]Ibrahim Sabek, Immanuel Trummer, Stefan Prestel:
Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, Q-Data 2024, Santiago, Chile, June 9-15, 2024. ACM 2024 [contents] - [i9]Rana Shahout, Ibrahim Sabek, Michael Mitzenmacher:
Learning-Augmented Frequency Estimation in Sliding Windows. CoRR abs/2409.11516 (2024) - 2023
- [j8]Ibrahim Sabek
The Case for Learned In-Memory Joins. Proc. VLDB Endow. 16(7): 1749-1762 (2023) - [j7]Wenjia He, Ibrahim Sabek, Yuze Lou, Michael J. Cafarella:
PAINE Demo: Optimizing Video Selection Queries With Commonsense Knowledge. Proc. VLDB Endow. 16(12): 3902-3905 (2023) - [i8]Varun Pandey, Alexander van Renen, Eleni Tzirita Zacharatou
Enhancing In-Memory Spatial Indexing with Learned Search. CoRR abs/2309.06354 (2023) - 2022
- [j6]Ibrahim Sabek
Can Learned Models Replace Hash Functions? Proc. VLDB Endow. 16(3): 532-545 (2022) - [c17]Ibrahim Sabek
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems. SIGMOD Conference 2022: 1228-1242 - 2021
- [c16]Eleni Tzirita Zacharatou
The Case for Distance-Bounded Spatial Approximations. CIDR 2021 - [c15]Ibrahim Sabek, Mohamed F. Mokbel:
Machine Learning Meets Big Spatial Data (Revised). MDM 2021: 5-8 - [i7]Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska:
When Are Learned Models Better Than Hash Functions? CoRR abs/2107.01464 (2021) - [i6]Ibrahim Sabek, Tim Kraska:
The Case for Learned In-Memory Joins. CoRR abs/2111.08824 (2021) - 2020
- [c14]Ibrahim Sabek
Sya: Enabling Spatial Awareness inside Probabilistic Knowledge Base Construction. ICDE 2020: 1177-1188 - [c13]Ibrahim Sabek, Mohamed F. Mokbel:
Machine Learning Meets Big Spatial Data. ICDE 2020: 1782-1785 - [c12]Varun Pandey, Alexander van Renen, Andreas Kipf, Jialin Ding, Ibrahim Sabek, Alfons Kemper:
The Case for Learned Spatial Indexes. AIDB@VLDB 2020 - [i5]Varun Pandey, Alexander van Renen, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Alfons Kemper:
The Case for Learned Spatial Indexes. CoRR abs/2008.10349 (2020) - [i4]Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl:
The Case for Distance-Bounded Spatial Approximations. CoRR abs/2010.12548 (2020)
2010 – 2019
- 2019
- [j5]Ibrahim Sabek, Mashaal Musleh
Flash in Action: Scalable Spatial Data Analysis Using Markov Logic Networks. Proc. VLDB Endow. 12(12): 1834-1837 (2019) - [j4]Ibrahim Sabek, Mohamed F. Mokbel:
Machine Learning Meets Big Spatial Data. Proc. VLDB Endow. 12(12): 1982-1985 (2019) - [j3]Ibrahim Sabek:
Flash: scalable spatial probabilistic graphical modeling. ACM SIGSPATIAL Special 11(3): 3-6 (2019) - [j2]Ibrahim Sabek
RegRocket: Scalable Multinomial Autologistic Regression with Unordered Categorical Variables Using Markov Logic Networks. ACM Trans. Spatial Algorithms Syst. 5(4): 27:1-27:27 (2019) - [c11]Ibrahim Sabek:
Towards Scalable Spatial Probabilistic Graphical Modeling. SIGSPATIAL/GIS 2019: 606-607 - [c10]Ibrahim Sabek
CRA: Enabling Data-Intensive Applications in Containerized Environments. ICDE 2019: 1762-1765 - [c9]Ibrahim Sabek:
Adopting Markov Logic Networks for Big Spatial Data and Applications. PhD@VLDB 2019 - 2018
- [c8]Ibrahim Sabek
TurboReg: a framework for scaling up spatial logistic regression models. SIGSPATIAL/GIS 2018: 129-138 - [c7]Ibrahim Sabek, Mashaal Musleh
A Demonstration of Sya: A Spatial Probabilistic Knowledge Base Construction System. SIGMOD Conference 2018: 1689-1692 - 2017
- [c6]Ibrahim Sabek
On Spatial Joins in MapReduce. SIGSPATIAL/GIS 2017: 21:1-21:10 - [c5]Ahmed Eldawy
Sphinx: Empowering Impala for Efficient Execution of SQL Queries on Big Spatial Data. SSTD 2017: 65-83 - 2015
- [j1]Ibrahim Sabek, Moustafa Youssef
ACE: An Accurate and Efficient Multi-Entity Device-Free WLAN Localization System. IEEE Trans. Mob. Comput. 14(2): 261-273 (2015) - 2013
- [c4]Heba Abdel-Nasser, Reham Samir, Ibrahim Sabek, Moustafa Youssef
MonoPHY: Mono-stream-based device-free WLAN localization via physical layer information. WCNC 2013: 4546-4551 - [i3]Ibrahim Sabek, Noha A. Yousri, Nagwa M. El-Makky, Mona Habib:
Intelligent Hybrid Man-Machine Translation Quality Estimation. CoRR abs/1307.1872 (2013) - [i2]Ibrahim Sabek, Moustafa Youssef:
MonoStream: A Minimal-Hardware High Accuracy Device-free WLAN Localization System. CoRR abs/1308.0768 (2013) - 2012
- [c3]Ibrahim Sabek, Moustafa Youssef
Multi-entity device-free WLAN localization. GLOBECOM 2012: 2018-2023 - [c2]Ibrahim Sabek, Moustafa Youssef
SPOT demo: multi-entity device-free WLAN localization. WiNTECH 2012: 87-88 - [i1]Ibrahim Sabek, Moustafa Youssef:
Spot: An accurate and efficient multi-entity device-free WLAN localization system. CoRR abs/1207.4265 (2012) - 2010
- [c1]Ahmed Elgohary, Hussein Nomir, Ibrahim Sabek, Mohamed Samir, Moustafa Badawy, Noha A. Yousri
Wiki-rec: A semantic-based recommendation system using Wikipedia as an ontology. ISDA 2010: 1465-1470
Coauthor Index
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last updated on 2024-10-15 20:42 CEST by the dblp team
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