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Nassima Dif
Affiliation : École Supérieure en Informatique de Sidi Bel Abbes
- 20Publications (affiliation in Algeria)
- 22Total publications
- 133Citations
- 6h-index
Research profile
Nassima Dif has 20 indexed publications (2018–2025). Their work appears mainly in “Lecture notes in networks and systems”, “International Journal of Swarm Intelligence Research” and “International Conference on Networking and Advanced Systems (ICNAS)”. Their most cited article, “A New Deep Learning Model Selection Method for Colorectal Cancer Classification” (2020), has been cited 33 times. 6 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers.
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Create my free profile Add my publicationsResearch areas
- AI in cancer detection
- Advanced Neural Network Applications
- Metaheuristic Optimization Algorithms Research
- Gene expression and cancer classification
- Domain Adaptation and Few-Shot Learning
Publications (20)
- Multi-Label Classification of Digitized Clinical Records Using Transformer-Based Models
- An Efficient Transferred Cascade System for COVID-19 Detection from Chest X-ray Images
- FCC-FMLO and FLeft-FRight: two novel multi-view fusion techniques for breast density assessment from mammograms
- Breast Density Prediction from Mammograms: A Comprehensive Review
- New attention-gated residual deep convolutional network for accurate lung segmentation in chest x-rays
- A Comparative Study Among Recursive Metaheuristics for Gene Selection
- Regions of interest selection in histopathological images using subspace and multi-objective stream clustering
- COVID-19 Classification From X-rays : A Comparative Study
- Transfer learning from synthetic labels for histopathological images classification
- A Novel Dynamic Hybridization Method for Best Feature Selection
- A New Deep Learning Model Selection Method for Colorectal Cancer Classification
- A New Intra Fine-Tuning Method Between Histopathological Datasets in Deep Learning
- Deep Learning Methods for Mitosis Detection in Breast Cancer Histopathological Images: A Comprehensive Review
- Efficient Regularization Framework for Histopathological Image Classification Using Convolutional Neural Networks.
- An Automatic Blocking Keys Selection For Efficient Record Linkage
- A Comparative Study Among Recursive Metaheuristics for Gene Selection
- L'apprentissage profond pour le traitement des images
- An Enhanced Recursive Firefly Algorithm for Informative Gene Selection
- Gene Selection for Microarray Data Classification Using Hybrid Meta-Heuristics
- A Multi-Verse Optimizer Approach for Instance Selection and Optimizing 1-NN Algorithm
Publication venues
- Lecture notes in networks and systems × 2
- International Journal of Swarm Intelligence Research × 2
- International Conference on Networking and Advanced Systems (ICNAS) × 1
- Informatica × 1
- Multimedia Tools and Applications × 1
- Evolving Systems × 1
Publications per year
- 20252
- 20242
- 20232
- 20222
- 20212
- 20207
- 20191
- 20182
Collaborations
Partner institutions : Université Djilali de Sidi Bel Abbès · Evolutionary Engineering & Distributed Information Systems Laboratory
Co-authors
- Zakaria Encadreur Elberrichi
- Sidi Mohamed Benslimane
- Mohamed Amine Abdelali
- Mohamed El Amine Boudinar
- Khawla Senkadi
- Maroua Belmiloud
- Benchouk Jesia Asma
- Mohamed walid Attaoui
- Hamid Naceur Benkhaled
- Latefa Oulladji
- Djamal Berrabah
- Nesrine Boudoukhani
Bibliographic data from OpenAlex (open database).
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