Ayman Mansour

Orcid: 0000-0001-7086-1613

Affiliations:
  • Tafila Technical University, Department of Communication, Electronics, and Computer Engineering, Jordan
  • Wayne State University, Department of Electrical and Computer Engineering, Detroit, MI, USA


According to our database1, Ayman Mansour authored at least 13 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A novel multi agent recommender system for user interests extraction.
Clust. Comput., April, 2023

2021
Remotely Controlled Smart Home System using GSM and IOT.
Proceedings of the International Conference on Information Technology, 2021

ÓImpact of Infertility Factors on IVF Success Rate using Fuzzy Inference System.
Proceedings of the International Conference on Information Technology, 2021

A Novel Recommender System Using Interest Extracting Agents and User Feedback.
Proceedings of the International Conference on Information Technology, 2021

2020
An efficient hybrid similarity measure based on user interests for recommender systems.
Expert Syst. J. Knowl. Eng., 2020

2019
An efficient semantic recommender method forArabic text.
Electron. Libr., 2019

2018
An efficient cold start solution based on group interests for recommender systems.
Proceedings of the First International Conference on Data Science, 2018

2014
A temporal interestingness measure for drug interaction signal detection in post-marketing surveillance.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
A Method for Mining Infrequent Causal Associations and Its Application in Finding Adverse Drug Reaction Signal Pairs.
IEEE Trans. Knowl. Data Eng., 2013

Fuzzy Rule-Based Approach for Detecting Adverse Drug Reaction Signal Pairs.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

2011
A Potential Causal Association Mining Algorithm for Screening Adverse Drug Reactions in Postmarketing Surveillance.
IEEE Trans. Inf. Technol. Biomed., 2011

Mining Infrequent Causal Associations in Electronic Health Databases.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
A fuzzy recognition-primed decision model-based causal association mining algorithm for detecting adverse drug reactions in postmarketing surveillance.
Proceedings of the FUZZ-IEEE 2010, 2010


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