Mohammed Lamine Kherfi

Orcid: 0000-0003-1017-1113

Affiliations:
  • Université de Ouargla, Algeria


According to our database1, Mohammed Lamine Kherfi authored at least 29 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Unified embedding and clustering.
Expert Syst. Appl., March, 2024

Behaviors of first-order optimizers in the context of sparse data and sparse models: A comparative study.
Digit. Signal Process., 2024

Adapting Random Simple Recurrent Network for Online Forecasting Problems.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023
Randomising the Simple Recurrent Network: a lightweight, energy-efficient RNN model with application to forecasting problems.
Neural Comput. Appl., September, 2023

Incremental tree-based successive POI recommendation in location-based social networks.
Appl. Intell., April, 2023

A fast weighted multi-view Bayesian learning scheme with deep learning for text-based image retrieval from unlabeled galleries.
Multim. Tools Appl., March, 2023

A Novel Two-Fold Loss Function for Data Clustering and Reconstruction: Application to Document Analysis.
IEEE Access, 2023

A Semi-supervised Teacher-Student Model Based on MMAN for Brain Tissue Segmentation.
Proceedings of the Intelligent Systems and Pattern Recognition, 2023

A Comparative Study of the Impact of Different First Order Optimizers on the Learning Process of UNet for Change Detection Task.
Proceedings of the Intelligent Systems and Pattern Recognition, 2023

2022
Date Fruit Sorting Based on Deep Learning and Discriminant Correlation Analysis.
IEEE Access, 2022

Morphological Operations and Artificial Neural Networks for Multi-scale colored texture classification.
Proceedings of the 4th International Conference on Pattern Analysis and Intelligent Systems, 2022

2021
Plant Leaves Recognition Based on a Hierarchical One-Class Learning Scheme with Convolutional Auto-Encoder and Siamese Neural Network.
Symmetry, 2021

2020
Image representation using complete multi-texton histogram.
Multim. Tools Appl., 2020

Object Detector Combination for Increasing Accuracy and Detecting More Overlapping Objects.
Proceedings of the Image and Signal Processing - 9th International Conference, 2020

Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study.
Proceedings of the Image and Signal Processing - 9th International Conference, 2020

2019
Combining colour and grey-level co-occurrence matrix features: a comparative study.
IET Image Process., 2019

2018
Extended Bayesian generalization model for understanding user's intention in semantics based images retrieval.
Multim. Tools Appl., 2018

Understanding User's Intention in Semantic Based Image Retrieval: Combining Positive and Negative Examples.
Proceedings of the Computational Intelligence and Its Applications, 2018

Automatic Recognition of Plant Leaves Using Parallel Combination of Classifiers.
Proceedings of the Computational Intelligence and Its Applications, 2018

2017
A new method for automatic date fruit classification.
Int. J. Comput. Vis. Robotics, 2017

2016
Modified integrative color intensity co-occurrence matrix for texture image representation.
J. Electronic Imaging, 2016

2014
A survey on the complementarity between database and ontologies: principles and research areas.
Int. J. Comput. Appl. Technol., 2014

2007
Image Collection Organization and Its Application to Indexing, Browsing, Summarization, and Semantic Retrieval.
IEEE Trans. Multim., 2007

2006
Relevance feedback for CBIR: a new approach based on probabilistic feature weighting with positive and negative examples.
IEEE Trans. Image Process., 2006

2004
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems.
ACM Comput. Surv., 2004

Combining Visual Features with Semantics for a More Effective Image Retrieval.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Image retrieval based on feature weighting and relevance feedback.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
Combining positive and negative examples in relevance feedback for content-based image retrieval.
J. Vis. Commun. Image Represent., 2003

2002
Learning from Negative Example in Relevance Feedback for Content-Based Image Retrieval.
Proceedings of the 16th International Conference on Pattern Recognition, 2002


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