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pro vyhledávání: '"moradi, Hadi"'
One of the growing trends in machine learning is the use of data generation techniques, since the performance of machine learning models is dependent on the quantity of the training dataset. However, in many medical applications, collecting large dat
Externí odkaz:
http://arxiv.org/abs/2409.17685
Objective: Early identification of ADHD is necessary to provide the opportunity for timely treatment. However, screening the symptoms of ADHD on a large scale is not easy. This study aimed to validate a video game (FishFinder) for the screening of AD
Externí odkaz:
http://arxiv.org/abs/2312.11832
In recent years, gamification has become very popular for rehabilitating different cognitive and motor problems. It has been shown that rehabilitation is effective when it starts early enough and it is intensive and repetitive. However, the success o
Externí odkaz:
http://arxiv.org/abs/2311.12948
Dynamic Difficulty Adjustment (DDA) is a viable approach to enhance a player's experience in video games. Recently, Reinforcement Learning (RL) methods have been employed for DDA in non-competitive games; nevertheless, they rely solely on discrete st
Externí odkaz:
http://arxiv.org/abs/2308.12726
Numerous Graph Neural Networks (GNNs) have been developed to tackle the challenge of Knowledge Graph Embedding (KGE). However, many of these approaches overlook the crucial role of relation information and inadequately integrate it with entity inform
Externí odkaz:
http://arxiv.org/abs/2212.05581
To overcome challenges in multiple object tracking task, recent algorithms use interaction cues alongside motion and appearance features. These algorithms use graph neural networks or transformers to extract interaction features that lead to high com
Externí odkaz:
http://arxiv.org/abs/2208.03659
While many production-ready and robust algorithms are available for the task of recommendation systems, many of these systems do not take the order of user's consumption into account. The order of consumption can be very useful and matters in many sc
Externí odkaz:
http://arxiv.org/abs/2205.00265
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing 2022
Preschool evaluation is crucial because it gives teachers and parents influential knowledge about children's growth and development. The COVID-19 pandemic has highlighted the necessity of online assessment for preschool children. One of the areas tha
Externí odkaz:
http://arxiv.org/abs/2203.12886
A few models have tried to tackle the link prediction problem, also known as knowledge graph completion, by embedding knowledge graphs in comparably lower dimensions. However, the state-of-the-art results are attained at the cost of considerably incr
Externí odkaz:
http://arxiv.org/abs/2112.10644
An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods
One of the main challenges in recommender systems is data sparsity which leads to high variance. Several attempts have been made to improve the bias-variance trade-off using auxiliary information. In particular, document modeling-based methods have i
Externí odkaz:
http://arxiv.org/abs/2109.05516