1 code implementation • 4 Aug 2022 • Khabat Soltanian, Ali Ebnenasir, Mohsen Afsharchi
Second, the proposed representation mitigates two important drawbacks of GE, namely the low scalability and weak locality of representation, towards generating modular and multi-layer networks with a high number of neurons.
no code implementations • 6 Jul 2022 • Shahin Yousefi, Mohsen Hooshmand, Mohsen Afsharchi
Similar to any machine learning problem, data availability is one of the major challenges in this problem.
1 code implementation • 10 Jan 2022 • Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, Mohammad Aliannejadi
To this end, we model social influence based on two factors: similarities between users in terms of common check-ins and the friendships between them.
1 code implementation • 14 Sep 2019 • Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
To address these problems, a POI recommendation method is proposed in this paper based on a Local Geographical Model, which considers both users' and locations' points of view.
no code implementations • 31 Jul 2019 • Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
With the recent advances of neural models, much work has sought to leverage neural networks to learn neural embeddings in a pre-training phase that achieve an improved representation of POIs and consequently a better recommendation.
no code implementations • 9 Aug 2015 • Hossein Khani, Mohsen Afsharchi
The intent of this study is to find a more effective algorithm to guide the defenders in choosing which outside agents with which to cooperate given both ambiguities.
no code implementations • 1 Mar 2015 • Aryo Jamshidpey, Mohsen Afsharchi
In this paper we study multi robot cooperative task allocation issue in a situation where a swarm of robots is deployed in a confined unknown environment where the number of colored spots which represent tasks and the ratios of them are unknown.