Results 31 to 40 of about 1,818,152 (349)
On Interpretability of Artificial Neural Networks: A Survey [PDF]
IEEE Transactions on Radiation and Plasma Medical Sciences, 2020 Deep learning as performed by artificial deep neural networks (DNNs) has achieved great successes recently in many important areas that deal with text, images, videos, graphs, and so on. However, the black-box nature of DNNs has become one of the primary
Fenglei Fan +3 more
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MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis [PDF]
, 2018 Interpretability has emerged as a crucial aspect of machine learning, aimed at providing insights into the working of complex neural networks. However, existing solutions vary vastly based on the nature of the interpretability task, with each use case ...
Anirudh, Rushil +3 more
core +2 more sources
Machine Learning Interpretability: A Survey on Methods and Metrics
Electronics, 2019 Machine learning systems are becoming increasingly ubiquitous. These systems’s adoption has been expanding, accelerating the shift towards a more algorithmic society, meaning that algorithmically informed decisions have greater potential for significant ...
D. V. Carvalho +2 more
semanticscholar +1 more source
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
, 2020 As an ubiquitous method in natural language processing, word embeddings are extensively employed to map semantic properties of words into a dense vector representation.
Koç, Aykut +4 more
core +2 more sources
Journal of Healthcare Engineering, 2023 Background Artificial intelligence (AI) has developed rapidly, and its application extends to clinical decision support system (CDSS) for improving healthcare quality.
Qian Xu +9 more
semanticscholar +1 more source
Axiomatic Interpretability for Multiclass Additive Models
, 2019 Generalized additive models (GAMs) are favored in many regression and binary classification problems because they are able to fit complex, nonlinear functions while still remaining interpretable.
Caruana, Rich +5 more
core +1 more source
Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses
IEEE Open Journal of Signal ProcessingIt is a popular hypothesis in neuroscience that ganglion cells in the retina are activated by selectively detecting visual features in an observed scene.
Yasaman Parhizkar +2 more
doaj +1 more source
Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media
Entropy, 2021 With the online presence of more than half the world population, social media plays a very important role in the lives of individuals as well as businesses alike.
Ramya Akula, Ivan Garibay
doaj +1 more source
Interpreters and interpreting: shifting the balance?
The Translator, 2022 The role of interpreters has been shaped by changing social contexts throughout the millennial history of this occupation, but demographic, educational, legal and technological developments have accelerated since the late 20th century and given rise to new forms of interpreting with the potential of reshaping the way interpreting is conceived.
openaire +1 more source
On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities.
Radiology: Artificial Intelligence, 2020 As artificial intelligence (AI) systems begin to make their way into clinical radiology practice, it is crucial to assure that they function correctly and that they gain the trust of experts.
M. Reyes +7 more
semanticscholar +1 more source