Kamal Maanicshah

12 papers C 1Journal 3Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Novel mixture allocation models for topic learning.
Comput. Intell.
Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2023 — conf
Novel Topic Models for Content Based Recommender Systems.
ICEIS (1)
Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2023 — conf
Novel Topic Models for Parallel Topics Extraction from Multilingual Text.
ACIIDS (2)
Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila
2022 J jnl
Content modification of soccer videos using a supervised deep learning framework.
Multim. Tools Appl.
Vahid Khorasani Ghassab, Kamal Maanicshah, Paul Green, Nizar Bouguila
2022 — conf
Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model.
SSCI
Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2022 — conf
Interactive Generalized Dirichlet Mixture Allocation Model.
S+SSPR
Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2021 J jnl
Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting.
Wirel. Pers. Commun.
Kamal Maanicshah, Manar Amayri, Nizar Bouguila, Wentao Fan
2020 C conf
REP-Model: A deep learning framework for replacing ad billboards in soccer videos.
ISM
Vahid Khorasani Ghassab, Kamal Maanicshah, Nizar Bouguila, Paul Green
2019 — conf
A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings.
ISC2
Hieu Nguyen, Maryam Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2019 — conf
Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting.
ICIAR (2)
Hieu Nguyen, Kamal Maanicshah, Muhammad Azam, Nizar Bouguila
2019 — conf
Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting.
ICIAR (2)
Kamal Maanicshah, Samr Ali, Wentao Fan, Nizar Bouguila
2019 — conf
Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach.
ISIE
Kamal Maanicshah, Nizar Bouguila, Wentao Fan