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Mariam Daoud

Affiliation : Seneca Polytechnic

4Publications (affiliation in Canada)
37Total publications
608Citations
13h-index

Research profile

Mariam Daoud has 4 indexed publications (2013–2018). Their work appears mainly in “Journal of the Association for Information Science and Technology”, “Lecture notes in computer science” and “ACM International Conference on Information and Knowledge Management (CIKM)”. Their most cited article, “MF‐Re‐Rank: A modality feature‐based Re‐Ranking model for medical image retrieval” (2018), has been cited 13 times. 3 of these publications date from the last three years of activity. Their work is co-authored with at least 2 researchers, including institutions in Tunisia.

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Research areas

Information Retrieval and Search Behavior
Recommender Systems and Techniques
Semantic Web and Ontologies
Web Data Mining and Analysis
Image Retrieval and Classification Techniques

Publications (4)

MF‐Re‐Rank: A modality feature‐based Re‐Ranking model for medical image retrieval
2018 · Journal of the Association for Information Science and Technology · cited 13 times
Mining correlations between medically dependent features and image retrieval models for query classification
2017 · Journal of the Association for Information Science and Technology · cited 7 times
Learning to Re-rank Medical Images Using a Bayesian Network-Based Thesaurus
2017 · Lecture notes in computer science · cited 2 times
Correlating medical-dependent query features with image retrieval models using association rules
2013 · ACM International Conference on Information and Knowledge Management (CIKM) · cited 6 times

Publication venues

Journal of the Association for Information Science and Technology × 2
Lecture notes in computer science × 1
ACM International Conference on Information and Knowledge Management (CIKM) × 1

Publications per year

20181
20172
20131

Collaborations

Partner institutions : York University · University of Sfax

Co-authors’ countries : Tunisia

Co-authors

Bibliographic data from OpenAlex (open database).