Accueil › Annuaire des chercheurs › Nesma Settouti
Nesma Settouti
Affiliation : Institut Supérieur de l'Électronique et du Numérique · ISEN Ouest · LabISEN
- 50Publications (affiliation algérienne)
- 95Publications au total
- 526Citations
- 12Indice h
Profil de recherche
Nesma Settouti compte 50 publications référencées (2011–2026). Ses travaux paraissent principalement dans « HAL », « Australasian Physical & Engineering Sciences in Medicine » et « Journal of Mechanics in Medicine and Biology ». Son article le plus cité, « Diagnosis of Diabetes Diseases Using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-nearest Neighbor » (2011), a été cité 114 fois. 8 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de France.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Artificial Intelligence in Healthcare
- Machine Learning and Data Classification
- Medical Image Segmentation Techniques
- Cell Image Analysis Techniques
- Digital Imaging for Blood Diseases
Publications (50)
- CABBAGE-Bench: an ML-ready, shift-aware benchmark for genotype-to-phenotype antimicrobial resistance prediction
- Enhancing Embryo Stage Classification with Multi-Focal Plane Imaging and Deep Learning
- Celiac Dataset : Duodenal Endoscopic Image Dataset for Celiac Disease Detection
- Scaling AI for Embryo Transition Detection: Benchmarking Spatio-Temporal Deep Models
- Improving Healthcare Communication: AI-Driven Emotion Classification in Imbalanced Patient Text Data with Explainable Models
- Feature importance analysis for a highly unbalanced multiple myeloma data classification
- AI-Driven Classification of Forensic Autopsy Reports: Balancing Accuracy and Interpretability
- Sentiments in Oncology: A Cancer treatment sentiment dataset
- Preliminary analysis of explainable machine learning methods for multiple myeloma chemotherapy treatment recognition
- DEEP LEARNING FOR SEGMENTATION AND COUNTING OF WHITE BLOOD CELLS IN CLINICAL DIAGNOSIS
- Deep Transfer Learning Techniques for Automated Classification of Histological Childhood Medulloblastoma Images
- Pre-trained Backbones Effect on Nuclei Segmentation Performance
- Convolutional and Recurrent Neural Networks for Opinion Mining on Drug Reviews
- A new correlation-based approach for ensemble selection in random forests
- Analysis of Machine Learning and Deep Learning Frameworks for Opinion Mining on Drug Reviews
- Content Based COVID-19 Chest X-Ray and CT Images Retrieval framework using Stacked Auto-Encoders
- Convolutional Neuronal Networks for Tumor Regions Detection in Histopathology Images
- Identifying regions of interest in whole slide images of renal cell carcinoma
- A comparison of U-net backbone architectures for the automatic white blood cells segmentation
- An optimised pixel-based classification approach for automatic white blood cells segmentation
- An instance and variable selection approach in pixel-based classification for automatic white blood cells segmentation
- Convolutional Neural Networks for opinion mining on Drug reviews
- Selection of prognostic features for multiple myeloma diagnosis in the region of Tlemcen, Algeria
- Influence of normalization and color features on super-pixel classification: application to cytological image segmentation
- Semi-Supervised learning with Collaborative Bagged Multi-label K-Nearest-Neighbors
- Clinical and paraclinical factors selection for multiple myeloma diagnosis
- An analysis of ambulatory blood pressure monitoring using multi-label classification
- Semi-supervised Super-pixels classification for White Blood Cells segmentation
- Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease
- Instances selection algorithm by ensemble margin
- The Homogeneous Ensemble Methods for MLknn Algorithm
- Reinforced confidence in self-training for a semi-supervised medical data classification
- Semi-automated Method for the Glaucoma Monitoring
- An optimized pixel-based classification approach for automatic white blood cells segmentation
- Data Editing for Semi-Supervised Co-Forest by the Local Cut Edge Weight Statistic Graph
- Using conditional inference forest to identify variable importance
- An Optimized Semi-Supervised Learning Approach for High Dimensional Datasets
- Reinforced confidence in self-training (R-COSET) for a semi-supervised medical data classification
- Application of pixel selection in pixel-based classification for automatic white blood cell segmentation
- RANDOM FOREST BASED CLASSIFICATION OF MEDICAL X-RAY IMAGES USING A GENETIC ALGORITHM FOR FEATURE SELECTION
- A new feature selection approach based on ensemble methods in semi-supervised classification
- Les Forêts Aléatoires en Apprentissage Semi-Supervisé (Co-forest) pour la segmentation des images rétiniennes
- Weighted vote for trees aggregation in Random Forest
- Automatic detection of difficult tracheal intubation
- An SVM intelligent system for pre-anesthetic examination
- Recognition of diabetes disease using a new hybrid learning algorithm for NEFCLASS
- Random forest in semi-supervised learning (Co-Forest)
- Generating fuzzy rules for constructing interpretable classifier of diabetes disease
- Diagnosis of Diabetes Diseases Using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-nearest Neighbor
- Evolving neural networks using a genetic algorithm for heartbeat classification
Revues de publication
- HAL × 3
- Australasian Physical & Engineering Sciences in Medicine × 3
- Journal of Mechanics in Medicine and Biology × 2
- Communications in computer and information science × 2
- International Journal of Biomedical Engineering and Technology × 2
- Pattern Analysis and Applications × 2
Publications par année
- 20261
- 20253
- 20244
- 20232
- 20223
- 20216
- 20204
- 20193
- 20182
- 201710
Collaborations
Établissements partenaires : University of Abou Bekr Belkaïd · Université de ain Témouchent · Centre National de la Recherche Scientifique · Aix-Marseille Université · Institut Fresnel
Pays des co-auteurs : France
Co-auteurs
- Mohammed El Amine Bechar
- Mostafa El Habib Daho
- Mohamed Amine Chikh
- Meryem Saidi
- Mohammed El Amine Lazouni
- Mohammed Amine Chikh
- Khalida Douibi
- Fatiha Youbi
- Rima Guilal
- Mohammed Lamine Benomar
- Med Amine Chikh
- Ahlem Benazzouz
Données bibliographiques issues d’OpenAlex (base ouverte).
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