Nesma Settouti

Orcid: 0000-0003-0460-9713

According to our database1, Nesma Settouti authored at least 24 papers between 2011 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
Feature importance analysis for a highly unbalanced multiple myeloma data classification.
Int. J. Medical Eng. Informatics, 2024

Preliminary analysis of explainable machine learning methods for multiple myeloma chemotherapy treatment recognition.
Evol. Intell., 2024

2023
Exploring Sentiment Analysis in Health with CNN, GRU and Zero-Shot Learning on Imbalanced Textual Data.
Proceedings of The 12th Seminary of Computer Science Research at Feminine (RIF 2023) LIRE Laboratory, 2023

2022
Analysis of Machine Learning and Deep Learning Frameworks for Opinion Mining on Drug Reviews.
Comput. J., 2022

2021
A new correlation-based approach for ensemble selection in random forests.
Int. J. Intell. Comput. Cybern., 2021

Deep Transfer Learning Techniques for Automated Classification of Histological Childhood Medulloblastoma Images.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2021

Pre-trained Backbones Effect on Nuclei Segmentation Performance.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2021

2020
An instance and variable selection approach in pixel-based classification for automatic white blood cells segmentation.
Pattern Anal. Appl., 2020

2019
Semi-Supervised learning with Collaborative Bagged Multi-label K-Nearest-Neighbors.
Open Comput. Sci., 2019

2018
Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease.
Multidimens. Syst. Signal Process., 2018

Instances selection algorithm by ensemble margin.
J. Exp. Theor. Artif. Intell., 2018

Semi-supervised Super-pixels classification for White Blood Cells segmentation.
Proceedings of the 2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS), 2018

Comparaison of Ensemble Cost Sensitive Algorithms: Application to Credit Scoring Prediction.
Proceedings of the 3rd International Conference on Advanced Aspects of Software Engineering, 2018

2017
A new feature selection approach based on ensemble methods in semi-supervised classification.
Pattern Anal. Appl., 2017

Using conditional inference forest to identify variable importance.
Int. J. Bioinform. Res. Appl., 2017

Reinforced confidence in self-training for a semi-supervised medical data classification.
Int. J. Appl. Pattern Recognit., 2017

The Homogeneous Ensemble Methods for MLknn Algorithm.
Proceedings of the International Conference on Compute and Data Analysis, 2017

2016
Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classi cation Task.
Int. J. Interact. Multim. Artif. Intell., 2016

Application of pixel selection in pixel-based classification for automatic white blood cell segmentation.
Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence, 2016

2014
Automatic detection of difficult tracheal intubation.
Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014

Weighted vote for trees aggregation in Random Forest.
Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014

2013
Machine Learning Tool for Automatic ASA Detection.
Proceedings of the Modeling Approaches and Algorithms for Advanced Computer Applications, 2013

2012
Diagnosis of Diabetes Diseases Using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-nearest Neighbor.
J. Medical Syst., 2012

2011
Automatic Identification of Diabetes Diseases using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-Nearest Neighbor.
Proceedings of the Third International Conference on Computer Science and its Applications (CIIA'11), 2011


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