The impact of individual collaborative activities on knowledge creation and transmission N Zamzami, A Schiffauerova Scientometrics 111 (3), 1385-1413, 2017 | 24 | 2017 |
A Novel Scaled Dirichlet-based Statistical Framework for Count Data Modeling: Unsupervised Learning and Exponential Approximation N Zamzami, N Bouguila Pattern Recognition 95, 36-47, 2019 | 22 | 2019 |
Text modeling using multinomial scaled dirichlet distributions N Zamzami, N Bouguila Recent Trends and Future Technology in Applied Intelligence: 31st …, 2018 | 20 | 2018 |
Model selection and application to high-dimensional count data clustering: via finite EDCM mixture models N Zamzami, N Bouguila Applied Intelligence 49 (4), 1467-1488, 2019 | 18 | 2019 |
High-Dimensional Count Data Clustering Based on an Exponential Approximation to the Multinomial Beta-Liouville Distribution N Zamzami, N Bouguila Information Sciences, 2020 | 17 | 2020 |
Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models N Zamzami, N Bouguila Applied Intelligence 49 (11), 3783-3800, 2019 | 17 | 2019 |
Fake news detection using bayesian inference F Najar, N Zamzami, N Bouguila 2019 IEEE 20th International Conference on Information Reuse and Integration …, 2019 | 16 | 2019 |
Model selection and estimation of a finite shifted-scaled dirichlet mixture model R Alsuroji, N Zamzami, N Bouguila 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 16 | 2018 |
Model-based hierarchical clustering for categorical data F Alalyan, N Zamzami, N Bouguila 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE …, 2019 | 14 | 2019 |
Online Clustering for Estimating Occupancy in an Office Setting N Zamzami, M Amayri, N Bouguila, S Ploix 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE …, 2019 | 13 | 2019 |
Consumption behavior prediction using hierarchical Bayesian frameworks N Zamzami, N Bouguila 2018 First International Conference on Artificial Intelligence for …, 2018 | 13 | 2018 |
MML-based approach for determining the number of topics in EDCM mixture models N Zamzami, N Bouguila Advances in Artificial Intelligence: 31st Canadian Conference on Artificial …, 2018 | 13 | 2018 |
Flexible distribution-based regression models for count data: Application to medical diagnosis P Koochemeshkian, N Zamzami, N Bouguila Cybernetics and Systems 51 (4), 442-466, 2020 | 11 | 2020 |
Predicting defect-prone software modules using shifted-scaled dirichlet distribution R Alsuroji, N Bouguila, N Zamzami 2018 First International Conference on Artificial Intelligence for …, 2018 | 11 | 2018 |
Sparse count data clustering using an exponential approximation to generalized Dirichlet multinomial distributions N Zamzami, N Bouguila IEEE Transactions on Neural Networks and Learning Systems 33 (1), 89-102, 2020 | 9 | 2020 |
Probabilistic modeling for frequency vectors using a flexible shifted-scaled Dirichlet distribution prior N Zamzami, N Bouguila ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (6), 1-35, 2020 | 8 | 2020 |
Deriving probabilistic SVM kernels from exponential family approximations to multivariate distributions for count data N Zamzami, N Bouguila Mixture Models and Applications, 125-153, 2020 | 8 | 2020 |
An accurate evaluation of msd log-likelihood and its application in human action recognition N Zamzami, N Bouguila 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 8 | 2019 |
Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions N Zamzami, R Alsuroji, O Eromonsele, N Bouguila Computational Intelligence, 1-27, 2019 | 7 | 2019 |
A distribution-based regression for real-time covid-19 cases detection from chest X-ray and CT images N Zamzami, P Koochemeshkian, N Bouguila 2020 IEEE 21st International Conference on Information Reuse and Integration …, 2020 | 6 | 2020 |