Kamal Maanicshah

According to our database, Kamal Maanicshah authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Novel Topic Models for Content Based Recommender Systems.

Kamal Maanicshah, Manar Amayri, Nizar Bouguila

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Novel Topic Models for Parallel Topics Extraction from Multilingual Text.

Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022

Content modification of soccer videos using a supervised deep learning framework.

Vahid Khorasani Ghassab, Kamal Maanicshah, Paul Green, Nizar Bouguila

Multim. Tools Appl., 2022

Interactive Generalized Dirichlet Mixture Allocation Model.

Kamal Maanicshah, Manar Amayri, Nizar Bouguila

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model.

Kamal Maanicshah, Manar Amayri, Nizar Bouguila

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting.

Kamal Maanicshah, Manar Amayri, Nizar Bouguila, Wentao Fan

Wirel. Pers. Commun., 2021

2020

REP-Model: A deep learning framework for replacing ad billboards in soccer videos.

Vahid Khorasani Ghassab, Kamal Maanicshah, Nizar Bouguila, Paul Green

Proceedings of the IEEE International Symposium on Multimedia, 2020

2019

Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach.

Kamal Maanicshah, Nizar Bouguila, Wentao Fan

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings.

Hieu Nguyen, Maryam Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri, Nizar Bouguila

Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting.

Hieu Nguyen, Kamal Maanicshah, Muhammad Azam, Nizar Bouguila

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting.

Kamal Maanicshah, Samr Ali, Wentao Fan, Nizar Bouguila

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019