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pro vyhledávání: '"Kazemeini, Amirmohammad"'
Autor:
Raza, Shaina, Rahman, Mizanur, Kamawal, Safiullah, Toroghi, Armin, Raval, Ananya, Navah, Farshad, Kazemeini, Amirmohammad
Recommender Systems (RS) play an integral role in enhancing user experiences by providing personalized item suggestions. This survey reviews the progress in RS inclusively from 2017 to 2024, effectively connecting theoretical advances with practical
Externí odkaz:
http://arxiv.org/abs/2407.13699
Autor:
Aminimehr, Amirhossein, Khani, Pouya, Molaei, Amirali, Kazemeini, Amirmohammad, Cambria, Erik
The field of Explainable Artificial Intelligence (XAI) aims to improve the interpretability of black-box machine learning models. Building a heatmap based on the importance value of input features is a popular method for explaining the underlying fun
Externí odkaz:
http://arxiv.org/abs/2307.10003
Publikováno v:
In Neurocomputing 7 July 2022 493:340-350
