Sara Qassimi

According to our database1, Sara Qassimi authored at least 13 papers between 2017 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Multi-objective optimization with recommender systems: A systematic review.
Inf. Syst., July, 2023

Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth.
Proceedings of the 12th International Conference on Data Science, 2023

Review on Recent Trends in Recommender Systems for Smart Cities.
Proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision, 2023

2022
Digital Transformation of the Flotation Monitoring Towards an Online Analyzer.
Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022

2021
Towards a Semantic Graph-based Recommender System. A Case Study of Cultural Heritage.
J. Univers. Comput. Sci., 2021

Towards a folksonomy graph-based context-aware recommender system of annotated books.
J. Big Data, 2021

Graph-based tag recommendations using clusters of patients in clinical decision support system.
Concurr. Comput. Pract. Exp., 2021

Semantic user profile enrichment in collective intelligence context: a Healthcare case study.
Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021

2019
The role of collaborative tagging and ontologies in emerging semantic of web resources.
Computing, 2019

Semantic Graph-Based Recommender System. Application in Cultural Heritage.
Proceedings of the New Trends in Model and Data Engineering, 2019

2018
A Graph-Based Model for Tag Recommendations in Clinical Decision Support System.
Proceedings of the Model and Data Engineering - 8th International Conference, 2018

Gamification and Serious Games Based Learning for Early Childhood in Rural Areas.
Proceedings of the New Trends in Model and Data Engineering, 2018

2017
Towards an Emergent Semantic of Web Resources Using Collaborative Tagging.
Proceedings of the Model and Data Engineering - 7th International Conference, 2017


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