Advancements in Explainable AI: Bridging the Gap Between Model Complexity and Interpretability-Reference-Cited by-同舟云学术

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Advancements in Explainable AI: Bridging the Gap Between Model Complexity and Interpretability

Published:2024-03-15 Issue: Volume:10 Page:675-680
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
language:
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Author:

Singhal Amit¹,Pratap Preksha²,Dixit Krishna Kant³,Kathuria Kajol⁴

Affiliation:

1. Raj Kumar Goel Institute of Technology,Department of Computer Science & Engineering,Ghaziabad,UP,India

2. Meerut Institute of Engineering and Technology,Department of Information Technology,Meerut,UP,India

3. GLA University,Department of Electrical Engineering,Mathura,UP,India

4. GL Bajaj Institute of Technology & Management,Department of Information Technology,Greater Noida,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489277.pdf?arnumber=10489277

Reference17 articles.

1. A review on microwave band pass filters: Materials and design optimization techniques for wireless communication systems

2. WaveFlex: A Smart Surface for Private CBRS Wireless Cellular Networks;Yi;arXiv preprint,2023

3. Reconfigurable Microwave Photonic Bandpass Filter Based on CROW

4. Microwave Resonators for Wearable Sensors Design: A Systematic Review

5. Automatic design of microwave filters by using relational induction neural networks

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