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Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Deep learning models have revolutionized numerous fields, yet their decision-making
processes often remain opaque, earning them the characterization of “black-box” models …
processes often remain opaque, earning them the characterization of “black-box” models …
Towards interpretability in audio and visual affective machine learning: a review
DS Johnson, O Hakobyan, H Drimalla - ar** Review
Affective computing often relies on audiovisual data to identify affective states from non-
verbal signals, such as facial expressions and vocal cues. Since automatic affect recognition …
verbal signals, such as facial expressions and vocal cues. Since automatic affect recognition …
A Framework for Counterfactual Explanation of Predictive Uncertainty in Multimodal Models
T Qiu, Q Li - IEEE Transactions on Neural Networks and …, 2024 - ieeexplore.ieee.org
Both predictive uncertainty estimation and visual explanation are crucial elements in hel**
humans understand the artificial intelligence (AI) decision-making process and in building …
humans understand the artificial intelligence (AI) decision-making process and in building …
Explainable Artificial Intelligence Applied in Deep Learning for Review Helpfulness Prediction
D Ryu, X Li, J Kim - Journal of Intelligence and Information …, 2023 - koreascience.kr
With the development of information and communication technology, numerous reviews are
continuously posted on websites, which causes information overload problems. Therefore …
continuously posted on websites, which causes information overload problems. Therefore …
Generative Evidence Inference Method using Document Summarization Dataset
Y Jang, Y Jang, H Kim - Annual Conference on Human and …, 2023 - koreascience.kr
자연어처리는 인공지능 발전과 함께 주목받는 분야로 컴퓨터가 인간의 언어를 이해하게 하는
기술이다. 그러나 많은 인공지능 모델은 블랙박스처럼 동작하여 그 원리를 해석하거나 …
기술이다. 그러나 많은 인공지능 모델은 블랙박스처럼 동작하여 그 원리를 해석하거나 …