Publications

2018
Marir B, KALLA M, Douak F, Daamouche A. A modular support vector machine for active learning of urban remote sensing images classification in Algeria. Journal of the Indian Society of Remote SensingJournal of the Indian Society of Remote Sensing. 2018;46 :515-529.
Marir B, KALLA M, Douak F, Daamouche A. A modular support vector machine for active learning of urban remote sensing images classification in Algeria. Journal of the Indian Society of Remote SensingJournal of the Indian Society of Remote Sensing. 2018;46 :515-529.
HANFER M, Cheriet T, Menad A, Seghiri R, Benayache S, Benayache F, Ameddah S. Modulation of liver glutathione-dependent enzymes and steatosis by Linaria tingitana in sodium valproate-treated rats. Journal of Herbs, Spices & Medicinal PlantsJournal of Herbs, Spices & Medicinal Plants. 2018;24 :173-184.
HANFER M, Cheriet T, Menad A, Seghiri R, Benayache S, Benayache F, Ameddah S. Modulation of liver glutathione-dependent enzymes and steatosis by Linaria tingitana in sodium valproate-treated rats. Journal of Herbs, Spices & Medicinal PlantsJournal of Herbs, Spices & Medicinal Plants. 2018;24 :173-184.
HANFER M, Cheriet T, Menad A, Seghiri R, Benayache S, Benayache F, Ameddah S. Modulation of liver glutathione-dependent enzymes and steatosis by Linaria tingitana in sodium valproate-treated rats. Journal of Herbs, Spices & Medicinal PlantsJournal of Herbs, Spices & Medicinal Plants. 2018;24 :173-184.
HANFER M, Cheriet T, Menad A, Seghiri R, Benayache S, Benayache F, Ameddah S. Modulation of liver glutathione-dependent enzymes and steatosis by Linaria tingitana in sodium valproate-treated rats. Journal of Herbs, Spices & Medicinal PlantsJournal of Herbs, Spices & Medicinal Plants. 2018;24 :173-184.
HANFER M, Cheriet T, Menad A, Seghiri R, Benayache S, Benayache F, Ameddah S. Modulation of liver glutathione-dependent enzymes and steatosis by Linaria tingitana in sodium valproate-treated rats. Journal of Herbs, Spices & Medicinal PlantsJournal of Herbs, Spices & Medicinal Plants. 2018;24 :173-184.
HANFER M, Cheriet T, Menad A, Seghiri R, Benayache S, Benayache F, Ameddah S. Modulation of liver glutathione-dependent enzymes and steatosis by Linaria tingitana in sodium valproate-treated rats. Journal of Herbs, Spices & Medicinal PlantsJournal of Herbs, Spices & Medicinal Plants. 2018;24 :173-184.
HANFER M, Cheriet T, Menad A, Seghiri R, Benayache S, Benayache F, Ameddah S. Modulation of liver glutathione-dependent enzymes and steatosis by Linaria tingitana in sodium valproate-treated rats. Journal of Herbs, Spices & Medicinal PlantsJournal of Herbs, Spices & Medicinal Plants. 2018;24 :173-184.
Kheloufi A, Chorfi A, Mansouri LM, Benyamina H. Morpho-physiological characterization and photosynthetic pigment contents of Acacia karroo Hayne seedlings under saline conditions. Poljoprivreda i SumarstvoPoljoprivreda i Sumarstvo. 2018;64 :87-99.
Kheloufi A, Chorfi A, Mansouri LM, Benyamina H. Morpho-physiological characterization and photosynthetic pigment contents of Acacia karroo Hayne seedlings under saline conditions. Poljoprivreda i SumarstvoPoljoprivreda i Sumarstvo. 2018;64 :87-99.
Kheloufi A, Chorfi A, Mansouri LM, Benyamina H. Morpho-physiological characterization and photosynthetic pigment contents of Acacia karroo Hayne seedlings under saline conditions. Poljoprivreda i SumarstvoPoljoprivreda i Sumarstvo. 2018;64 :87-99.
Kheloufi A, Chorfi A, Mansouri LM, Benyamina H. Morpho-physiological characterization and photosynthetic pigment contents of Acacia karroo Hayne seedlings under saline conditions. Poljoprivreda i SumarstvoPoljoprivreda i Sumarstvo. 2018;64 :87-99.
Mouss L-H, Berghout T, KADRI O. Moving From unknown to known feature spaces based on TS-ELM with random kernels and connections. IntelliSys2018. International Conference on Intelligent Systems. 2018.Abstract

In this paper, we propose an algorithm for classification based on extreme learning machine, named TS-ELM (Two feature Spaces Extreme learning Machine). It is a hybridization of two distinct feature mapping of SLFNs (Single hidden layer feedforward neural network). Both are realized based on ELM theories. The first feature space resulted from a random kernel distributions of a randomly connected input samples, that inspired initially from conventional random connected neural network and it is also included in ELM theories. The second feature space that gives the training or testing samples is the result of a random probability distribution of fully connected samples taken from the first feature space, and adjusted with their own weight and threshold parameters. This algorithm was applied on three datasets of multiclass and binary classification, and the results shows that it has strong classification capabilities and universal approximation as well. The mechanisms of the algorithm and universal approximation are discussed in this paper.

Mouss L-H, Berghout T, KADRI O. Moving From unknown to known feature spaces based on TS-ELM with random kernels and connections. IntelliSys2018. International Conference on Intelligent Systems. 2018.Abstract

In this paper, we propose an algorithm for classification based on extreme learning machine, named TS-ELM (Two feature Spaces Extreme learning Machine). It is a hybridization of two distinct feature mapping of SLFNs (Single hidden layer feedforward neural network). Both are realized based on ELM theories. The first feature space resulted from a random kernel distributions of a randomly connected input samples, that inspired initially from conventional random connected neural network and it is also included in ELM theories. The second feature space that gives the training or testing samples is the result of a random probability distribution of fully connected samples taken from the first feature space, and adjusted with their own weight and threshold parameters. This algorithm was applied on three datasets of multiclass and binary classification, and the results shows that it has strong classification capabilities and universal approximation as well. The mechanisms of the algorithm and universal approximation are discussed in this paper.

Mouss L-H, Berghout T, KADRI O. Moving From unknown to known feature spaces based on TS-ELM with random kernels and connections. IntelliSys2018. International Conference on Intelligent Systems. 2018.Abstract

In this paper, we propose an algorithm for classification based on extreme learning machine, named TS-ELM (Two feature Spaces Extreme learning Machine). It is a hybridization of two distinct feature mapping of SLFNs (Single hidden layer feedforward neural network). Both are realized based on ELM theories. The first feature space resulted from a random kernel distributions of a randomly connected input samples, that inspired initially from conventional random connected neural network and it is also included in ELM theories. The second feature space that gives the training or testing samples is the result of a random probability distribution of fully connected samples taken from the first feature space, and adjusted with their own weight and threshold parameters. This algorithm was applied on three datasets of multiclass and binary classification, and the results shows that it has strong classification capabilities and universal approximation as well. The mechanisms of the algorithm and universal approximation are discussed in this paper.

Bencherif K, Titaouine M, Saidi R, Djouimaa A, Adoui I, de SOUSA TR, Neto AG, Baudrand H. Multiband FSS analysis and synthesis based on parallel non coupled metallic strips using WCIP method. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :433-456.
Bencherif K, Titaouine M, Saidi R, Djouimaa A, Adoui I, de SOUSA TR, Neto AG, Baudrand H. Multiband FSS analysis and synthesis based on parallel non coupled metallic strips using WCIP method. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :433-456.
Bencherif K, Titaouine M, Saidi R, Djouimaa A, Adoui I, de SOUSA TR, Neto AG, Baudrand H. Multiband FSS analysis and synthesis based on parallel non coupled metallic strips using WCIP method. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :433-456.
Bencherif K, Titaouine M, Saidi R, Djouimaa A, Adoui I, de SOUSA TR, Neto AG, Baudrand H. Multiband FSS analysis and synthesis based on parallel non coupled metallic strips using WCIP method. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :433-456.

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