推测
发表于 2025-3-23 12:21:08
Ahu Yazici Ayyildiz,Erdogan Koc provide easy-to-interpret rationales for their behavior—so that passengers, insurance companies, law enforcement, developers etc., can understand what triggered a particular behavior. Here, we explore the use of visual explanations. These explanations take the form of real-time highlighted regions
弓箭
发表于 2025-3-23 15:59:29
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forecast
发表于 2025-3-23 22:03:22
Miranda Giacomin,Christian H. Jordanticular, assessment of apparent personality gives insights into the first impressions evoked by a candidate. Such analysis tools can be used for training purposes, if they can be configured to provide appropriate and clear feedback. In this chapter, we describe a multimodal system that analyzes a sh
Surgeon
发表于 2025-3-24 01:49:57
Essential Cerebrovascular Hemodynamics,man-machine interactions. Expressing the rationale behind such a system’s output is an important aspect of human-machine interaction as AI continues to be prominent in general, everyday use-cases. In this paper, we introduce a novel framework integrating Grenander’s pattern theory structures to prod
obstinate
发表于 2025-3-24 04:16:07
Springer Nature Switzerland AG 2018
wangle
发表于 2025-3-24 10:00:30
Explainable and Interpretable Models in Computer Vision and Machine Learning978-3-319-98131-4Series ISSN 2520-131X Series E-ISSN 2520-1328
追踪
发表于 2025-3-24 13:37:22
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Analogy
发表于 2025-3-24 16:36:03
Learning Interpretable Rules for Multi-Label Classificationel data. Discussing this task in detail, we highlight some of the problems that make rule learning considerably more challenging for MLC than for conventional classification. While mainly focusing on our own previous work, we also provide a short overview of related work in this area.
反感
发表于 2025-3-24 22:47:39
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包租车船
发表于 2025-3-25 01:26:50
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