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Choukri Djellali
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2020 – today
- 2022
- [j3]Choukri Djellali, Mehdi Adda:
A New Scalable Deep Learning Model of Pattern Recognition for Medical Diagnosis Using Model Aggregation and Model Selection. Int. J. Inf. Retr. Res. 12(1): 1-16 (2022) - [j2]Choukri Djellali, Mehdi Adda, Mohamed Tarik Moutacalli:
An Enhanced Fuzzy Clustering to Pattern Recognition for Cloud Computing, by using Model Aggregation and Model Selection. J. Ubiquitous Syst. Pervasive Networks 16(1): 49-53 (2022) - 2021
- [j1]Choukri Djellali, Mehdi Adda:
An Enhanced Deep Learning Model to Network Attack Detection, by using Parameter Tuning, Hidden Markov Model and Neural Network. J. Ubiquitous Syst. Pervasive Networks 15(1): 35-41 (2021) - [c18]Choukri Djellali, Mehdi Adda
, Mohamed Tarik Moutacalli:
A Comparative Study on Fuzzy Clustering for Cloud Computing. Taking Web Service as a case. ANT/EDI40 2021: 622-627 - 2020
- [c17]Choukri Djellali, Mehdi Adda, Mohamed Tarik Moutacalli:
A Data-Driven Deep Learning Model to Pattern Recognition for Medical Diagnosis, by using Model Aggregation and Model Selection. EUSPN/ICTH 2020: 387-395 - [c16]Choukri Djellali, Mehdi Adda:
A New Hybrid Deep Learning Model based-Recommender System using Artificial Neural Network and Hidden Markov Model. FNC/MobiSPC 2020: 214-220
2010 – 2019
- 2019
- [c15]Choukri Djellali, Mehdi Adda
, Mohamed Tarik Moutacalli:
A comparative study to deep learning for pattern recognition, by using online and batch learning; taking cybersecurity as a case. ASONAM 2019: 907-912 - 2017
- [c14]Choukri Djellali, Mehdi Adda
:
A new predictive approach to variables selection through Genetic Algorithm and Fuzzy Adaptive Resonance Theory Using medical diagnosis as a case. ANT/SEIT 2017: 448-457 - [c13]Choukri Djellali, Mehdi Adda
:
A New Data-Driven Deep Learning Model for Pattern Categorization using Fast Independent Component Analysis and Radial Basis Function Network. Taking Social Networks resources as a case. EUSPN/ICTH 2017: 97-104 - [c12]Choukri Djellali, Mehdi Adda
:
A New Scalable and Performance-Enhancing Bootstrap Aggregating Scheme for Variables Selection - Taking Real-World Web Services Resources as a Case. MCETECH 2017: 222-235 - 2016
- [c11]Choukri Djellali, Mehdi Adda
:
A New Categorization Numerical Scheme for Mobile Robotic Computing Using Odor Data-set Recognition as a Case. FNC/MobiSPC 2016: 199-206 - [c10]Choukri Djellali, Mehdi Adda:
A new scalable aggregation scheme for fuzzy clustering Taking unstructured textual resources as a case. IDEAS 2016: 199-204 - 2014
- [c9]Choukri Djellali:
A new conceptual model for dynamic text clustering Using unstructured text as a case. C3S2E 2014: 13:1-13:7 - [c8]Choukri Djellali:
A New Distributed Expert System to Ontology Evaluation. EUSPN/ICTH 2014: 48-55 - [c7]Choukri Djellali:
A Semantic-based Variables Selection for Ontology Learning Taking Jaccard Alignment as Case. EUSPN/ICTH 2014: 56-63 - 2013
- [c6]Choukri Djellali:
A New Digital Conceptual Model Oriented Corporate Memory Constructing: Taking Data Mining Models as a Case. ANT/SEIT 2013: 977-983 - [c5]Choukri Djellali:
Enhancing text clustering model based on truncated singular value decomposition, fuzzy art and cross validation. ASONAM 2013: 1078-1083 - [c4]Choukri Djellali:
A New Data Mining System for Ontology Learning Using Dynamic Time Warping Alignment as a Case. EUSPN/ICTH 2013: 75-82 - [c3]Choukri Djellali:
Truncated singular value decomposition for semantic-based data retrieval. ICCIT 2013: 61-66 - [c2]Choukri Djellali:
Using hamming similarity to map ontology learning: a new data mining system. RACS 2013: 82-87 - [c1]Choukri Djellali:
A new on-line digital conceptual model oriented corporate memory constructing: taking unstructured text as a case. RACS 2013: 88-93
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