XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development

Author:

Wang Zerui1ORCID,Liu Yan1ORCID,Arumugam Thiruselvi Abishek1ORCID,Hamou-Lhadj Abdelwahab1ORCID

Affiliation:

1. Concordia University, Montreal, Canada

Publisher

ACM

Reference40 articles.

1. Amina Adadi and Mohammed Berrada. 2018. Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE access 6 (2018), 52138--52160.

2. Amazon. 2023. Amazon Web Services. Amazon. https://aws.amazon.com Accessed: 2023.

3. Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-López, Daniel Molina, Richard Benjamins, et al. 2020. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information fusion 58 (2020), 82--115.

4. Representation Learning: A Review and New Perspectives

5. Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks

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