从发表到撤稿仅16天，这篇发表在Scientific Reports上的论文经历了什么？

2025年11月19日，标题为"Bridging the gap: explainable AI for autism diagnosis and parental support with TabPFNMix and SHAP"的论文，在Scientific Reports（影响因子3.9，出版商为Springer Nature）上正式发表。
Forbes

How Explainable AI Is Helping Algorithms Avoid Bias

Explainable AI helps companies identify the factors and criteria algorithms use to reach decisions. (Photo by Jens Büttner/picture alliance via Getty Images) Artificial intelligence is biased. Human ...
Tech Xplore on MSN

Lowering barriers to explainable AI: Control technique for LLMs reduces resource demands by ...

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...
Forbes

Why Explainable AI Must Be Grounded In Board Director’s Risk Management Practices

Explainable AI must answer many explainable questions, what, where, when, who and how is an AI Outcome derived ethically and responsibly. Board Directors and CEO's must accelerate their leadership in ...
The Repository on MSN

Meet Deepshikha Bhati, a Kent State at Stark lecturer with a passion for AI

In this week's "Five questions with" feature, meet Deepshikha Bhati, a Kent State University at Stark faculty member with a ...
inc42

What Is Explainable AI? Here’s All You Need to Know

Explainable AI (XAI) is a field of AI that focusses on developing techniques to make AI models more understandable to humans. Explainable AI (XAI) is a field of AI that focusses on developing ...