Ahmed Soliman

According to our database, Ahmed Soliman authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

The Soundex Blocking: A Novel Blocking Approach for Record Linkage.

Nidhibahen Shah, Ahmed Soliman, Joyanta Basak, Sartaj Sahni, Kenneth Haase, Anup Mathur, Krista Park, Daniel Weinberg, Jonathan White, Sanguthevar Rajasekaran

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Understanding Insured Behavior through Causal Impact Analysis of IoT Streams.

Patrick Toman, Ahmed Soliman, Nalini Ravishanker, Sanguthevar Rajasekaran, Nathan Lally, Hunter D'Addeo

Proceedings of the 7th International Symposium on Computer Science and Intelligent Control, 2023

On Computing the Jaro Similarity Between Two Strings.

Joyanta Basak, Ahmed Soliman, Nachiket Deo, Kenneth Haase, Anup Mathur, Krista Park, Rebecca C. Steorts, Daniel Weinberg, Sartaj Sahni, Sanguthevar Rajasekaran

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Novel Blocking Techniques and Distance Metrics for Record Linkage.

Nachiket Deo, Joyanta Basak, Ahmed Soliman, Daniel Weinberg, Rebecca C. Steorts, Sanguthevar Rajasekaran

Proceedings of the Information Integration and Web Intelligence, 2023

2022

FIRLA: a Fast Incremental Record Linkage Algorithm.

Ahmed Soliman, Sanguthevar Rajasekaran

J. Biomed. Informatics, 2022

2021

A Novel Pathway Network Analytics Method Based on Graph Theory.

Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran

J. Comput. Biol., 2021

A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection.

Ahmed Soliman, Sanguthevar Rajasekaran, Patrick Toman, Nalini Ravishanker, Nathan Lally, Hunter D'Addeo

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

2020

RSGSA: a Robust and Stable Gene Selection Algorithm.

Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points.

Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020