Ibrahim Sabek

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 30

Top Topics

Logistic Regression

Top Venues

Proc. VLDB Endow.

Publications

Ibrahim Sabek, Immanuel Trummer, Stefan Prestel
First Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data). SIGMOD Conference Companion (2024)
Wenjia He, Ibrahim Sabek, Yuze Lou, Michael J. Cafarella
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge. Proc. VLDB Endow. 17 (7) (2024)
Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
Sawmill: From Logs to Causal Diagnosis of Large Systems. SIGMOD Conference Companion (2024)
Pranshi Saxena, Ibrahim Sabek, Federico M. Spedalieri
Constrained Quadratic Model for Optimizing Join Orders. Q-DATA@SIGMOD (2024)
Markos Markakis, Ziyu Zhang, Rana Shahout, Trinity Gao, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
Press ECCS to Doubt (Your Causal Graph). GUIDE-AI@SIGMOD (2024)
Ibrahim Sabek, Tim Kraska
The Case for Learned In-Memory Joins. Proc. VLDB Endow. 16 (7) (2023)
Varun Pandey, Alexander van Renen, Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Volker Markl, Alfons Kemper
Enhancing In-Memory Spatial Indexing with Learned Search. CoRR (2023)
Wenjia He, Ibrahim Sabek, Yuze Lou, Michael J. Cafarella
PAINE Demo: Optimizing Video Selection Queries With Commonsense Knowledge. Proc. VLDB Endow. 16 (12) (2023)
Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, Tim Kraska
Can Learned Models Replace Hash Functions? Proc. VLDB Endow. 16 (3) (2022)
Ibrahim Sabek, Tenzin Samten Ukyab, Tim Kraska
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems. SIGMOD Conference (2022)
Ibrahim Sabek, Mohamed F. Mokbel
Machine Learning Meets Big Spatial Data (Revised). MDM (2021)
Ibrahim Sabek, Tim Kraska
The Case for Learned In-Memory Joins. CoRR (2021)
Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl
The Case for Distance-Bounded Spatial Approximations. CIDR (2021)
Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska
When Are Learned Models Better Than Hash Functions? CoRR (2021)
Varun Pandey, Alexander van Renen, Andreas Kipf, Jialin Ding, Ibrahim Sabek, Alfons Kemper
The Case for Learned Spatial Indexes. AIDB@VLDB (2020)
Ibrahim Sabek, Mohamed F. Mokbel
Sya: Enabling Spatial Awareness inside Probabilistic Knowledge Base Construction. ICDE (2020)
Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl
The Case for Distance-Bounded Spatial Approximations. CoRR (2020)
Ibrahim Sabek, Mohamed F. Mokbel
Machine Learning Meets Big Spatial Data. ICDE (2020)
Varun Pandey, Alexander van Renen, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Alfons Kemper
The Case for Learned Spatial Indexes. CoRR (2020)
Ibrahim Sabek, Badrish Chandramouli, Umar Farooq Minhas
CRA: Enabling Data-Intensive Applications in Containerized Environments. ICDE (2019)
Ibrahim Sabek
Adopting Markov Logic Networks for Big Spatial Data and Applications. PhD@VLDB (2019)
Ibrahim Sabek, Mashaal Musleh, Mohamed F. Mokbel
RegRocket: Scalable Multinomial Autologistic Regression with Unordered Categorical Variables Using Markov Logic Networks. ACM Trans. Spatial Algorithms Syst. 5 (4) (2019)
Ibrahim Sabek
Towards Scalable Spatial Probabilistic Graphical Modeling. SIGSPATIAL/GIS (2019)
Ibrahim Sabek
Flash: scalable spatial probabilistic graphical modeling. ACM SIGSPATIAL Special 11 (3) (2019)
Ibrahim Sabek, Mohamed F. Mokbel
Machine Learning Meets Big Spatial Data. Proc. VLDB Endow. 12 (12) (2019)
Ibrahim Sabek, Mashaal Musleh, Mohamed F. Mokbel
Flash in Action: Scalable Spatial Data Analysis Using Markov Logic Networks. Proc. VLDB Endow. 12 (12) (2019)
Ibrahim Sabek, Mashaal Musleh, Mohamed F. Mokbel
TurboReg: a framework for scaling up spatial logistic regression models. SIGSPATIAL/GIS (2018)
Ibrahim Sabek, Mashaal Musleh, Mohamed F. Mokbel
A Demonstration of Sya: A Spatial Probabilistic Knowledge Base Construction System. SIGMOD Conference (2018)
Ahmed Eldawy, Ibrahim Sabek, Mostafa Elganainy, Ammar Bakeer, Ahmed Abdelmotaleb, Mohamed F. Mokbel
Sphinx: Empowering Impala for Efficient Execution of SQL Queries on Big Spatial Data. SSTD (2017)
Ibrahim Sabek, Mohamed F. Mokbel
On Spatial Joins in MapReduce. SIGSPATIAL/GIS (2017)
Ibrahim Sabek, Moustafa Youssef, Athanasios V. Vasilakos
ACE: An Accurate and Efficient Multi-Entity Device-Free WLAN Localization System. IEEE Trans. Mob. Comput. 14 (2) (2015)
Ibrahim Sabek, Noha A. Yousri, Nagwa M. El-Makky, Mona Habib
Intelligent Hybrid Man-Machine Translation Quality Estimation. CoRR (2013)
Ibrahim Sabek, Moustafa Youssef
MonoStream: A Minimal-Hardware High Accuracy Device-free WLAN Localization System. CoRR (2013)
Heba Abdel-Nasser, Reham Samir, Ibrahim Sabek, Moustafa Youssef
MonoPHY: Mono-stream-based device-free WLAN localization via physical layer information. WCNC (2013)
Ibrahim Sabek, Moustafa Youssef
Spot: An accurate and efficient multi-entity device-free WLAN localization system CoRR (2012)
Ibrahim Sabek, Moustafa Youssef
SPOT demo: multi-entity device-free WLAN localization. WiNTECH@MOBICOM (2012)
Ibrahim Sabek, Moustafa Youssef
Multi-entity device-free WLAN localization. GLOBECOM (2012)
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)