16 Apr 2026
A hybrid method for biomedical long-document summarization using an ensemble extraction approach and a transformer-based modelPublisher siteInternational Journal of Data Science and Analytics, Biomedical Text Mining and Ontologies
Active, last published 2026
In biomedical text mining and ontologies
Azzedine
Aftiss
Scholar“Research focused on Biomedical Text Mining and Ontologies and adjacent fields.”
Ibn Tofail University
Morocco
Claim Your ProfileMorocco1
H-index
5
Citations
Azzedine has not officially claimed their profile. If you are Azzedine, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
zzedine Aftiss is a researcher working on Biomedical Text Mining and Ontologies. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Azzedine's work has been cited 5 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Biomedical Text Mining and Ontologies×3Advanced Text Analysis Techniques×3Topic Modeling×2
04 · Where I am
Affiliations
Affiliation on published researchUniversité Ibn-Tofail, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
3 works1 Jan 2024Open access5cites
BioMDSum: An Effective Hybrid Biomedical Multi-Document Summarization Method Based on PageRank and Longformer Encoder-DecoderPublisher siteIEEE Access, Advanced Text Analysis Techniques
1 Jan 2024
Combining Semantic Clustering and Sentence Embedding Representation for Abstractive Biomedical SummarizationPublisher siteLecture notes in networks and systems, Topic Modeling
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Azzedine?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you