A New Digital Conceptual Model Oriented Corporate Memory Constructing: Taking Data Mining Models as a Case. - Choukri Djellali (ANT/SEIT, 2013)

Enhancing text clustering model based on truncated singular value decomposition, fuzzy art and cross validation. - Choukri Djellali (ASONAM, 2013)

A New Data Mining System for Ontology Learning Using Dynamic Time Warping Alignment as a Case. - Choukri Djellali (EUSPN/ICTH, 2013)

Truncated singular value decomposition for semantic-based data retrieval. - Choukri Djellali (ICCIT, 2013)

Using hamming similarity to map ontology learning: a new data mining system. - Choukri Djellali (RACS, 2013)

A new on-line digital conceptual model oriented corporate memory constructing: taking unstructured text as a case. - Choukri Djellali (RACS, 2013)

A new conceptual model for dynamic text clustering Using unstructured text as a case. - Choukri Djellali (C3S2E, 2014)

A New Distributed Expert System to Ontology Evaluation. - Choukri Djellali (EUSPN/ICTH, 2014)

A Semantic-based Variables Selection for Ontology Learning Taking Jaccard Alignment as Case. - Choukri Djellali (EUSPN/ICTH, 2014)

A New Categorization Numerical Scheme for Mobile Robotic Computing Using Odor Data-set Recognition as a Case. - Choukri Djellali; Mehdi Adda (FNC/MobiSPC, 2016)

A new scalable aggregation scheme for fuzzy clustering Taking unstructured textual resources as a case. - Choukri Djellali; Mehdi Adda (IDEAS, 2016)

A new predictive approach to variables selection through Genetic Algorithm and Fuzzy Adaptive Resonance Theory Using medical diagnosis as a case. - Choukri Djellali; Mehdi Adda (ANT/SEIT, 2017)

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. - Choukri Djellali; Mehdi Adda (EUSPN/ICTH, 2017)

A New Scalable and Performance-Enhancing Bootstrap Aggregating Scheme for Variables Selection - Taking Real-World Web Services Resources as a Case. - Choukri Djellali; Mehdi Adda (MCETECH, 2017)

A comparative study to deep learning for pattern recognition, by using online and batch learning; taking cybersecurity as a case. - Choukri Djellali; Mehdi Adda; Mohamed Tarik Moutacalli (ASONAM, 2019)

A Data-Driven Deep Learning Model to Pattern Recognition for Medical Diagnosis, by using Model Aggregation and Model Selection. - Choukri Djellali; Mehdi Adda; Mohamed Tarik Moutacalli (EUSPN/ICTH, 2020)

A New Hybrid Deep Learning Model based-Recommender System using Artificial Neural Network and Hidden Markov Model. - Choukri Djellali; Mehdi Adda (FNC/MobiSPC, 2020)

A Comparative Study on Fuzzy Clustering for Cloud Computing. Taking Web Service as a case. - Choukri Djellali; Mehdi Adda; Mohamed Tarik Moutacalli (ANT/EDI40, 2021)

An Enhanced Deep Learning Model to Network Attack Detection, by using Parameter Tuning, Hidden Markov Model and Neural Network. - Choukri Djellali; Mehdi Adda (J. Ubiquitous Syst. Pervasive Networks, 2021)

A New Scalable Deep Learning Model of Pattern Recognition for Medical Diagnosis Using Model Aggregation and Model Selection. - Choukri Djellali; Mehdi Adda (Int. J. Inf. Retr. Res., 2022)

An Enhanced Fuzzy Clustering to Pattern Recognition for Cloud Computing, by using Model Aggregation and Model Selection. - Choukri Djellali; Mehdi Adda; Mohamed Tarik Moutacalli (J. Ubiquitous Syst. Pervasive Networks, 2022)