Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Aminimehr, Amirhossein"'
Autor:
Aminimehr, Amirhossein, Aminimehr, Amin, Kamali, Hamid Moradi, Eetemadi, Sauleh, Hoseinzade, Saeid
Studies conducted on financial market prediction lack a comprehensive feature set that can carry a broad range of contributing factors; therefore, leading to imprecise results. Furthermore, while cooperating with the most recent innovations in explai
Externí odkaz:
http://arxiv.org/abs/2405.09932
Autor:
Molaei, Amirali, Aminimehr, Amirhossein, Tavakoli, Armin, Kazerouni, Amirhossein, Azad, Bobby, Azad, Reza, Merhof, Dorit
Implicit neural representations (INRs) have gained prominence as a powerful paradigm in scene reconstruction and computer graphics, demonstrating remarkable results. By utilizing neural networks to parameterize data through implicit continuous functi
Externí odkaz:
http://arxiv.org/abs/2307.16142
Scene recognition based on deep-learning has made significant progress, but there are still limitations in its performance due to challenges posed by inter-class similarities and intra-class dissimilarities. Furthermore, prior research has primarily
Externí odkaz:
http://arxiv.org/abs/2307.12442
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
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.