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Found 7 papers, 3 papers with code
Modular Grammatical Evolution for the Generation of Artificial Neural Networks
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.
Early Discovery of Emerging Entities in Persian Twitter with Semantic Similarity
Similar to any machine learning problem, data availability is one of the major challenges in this problem.
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation
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.
LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation
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.
Category-Aware Location Embedding for Point-of-Interest Recommendation
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.
Security Games with Ambiguous Beliefs of Agents
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.
Task Allocation in Robotic Swarms: Explicit Communication Based Approaches
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.
