Results 11 to 20 of about 244,877 (310)
Prototype-based Interpretable Graph Neural Networks [PDF]
, 2022 Graph neural networks have proved to be a key tool for dealing with many problems and domains such as chemistry, natural language processing and social networks.
Biagio La Rosa +2 more
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Re-interpreting rules interpretability
International Journal of Data Science and Analytics, 2022 Abstract Trustworthy machine learning requires a high level of interpretability of machine learning models, yet many models are inherently black-boxes. Training interpretable models instead—or using them to mimic the black-box model—seems like a viable solution. In practice, however, these interpretable models are still unintelligible
Adilova, L. +3 more
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Interpretable Data-Driven Modeling Reveals Complexity of Battery Aging [PDF]
, 2023 To reliably deploy lithium-ion batteries, a fundamental understanding of cycling and aging behavior is critical. Battery aging, however, consists of complex and highly coupled phenomena, making it challenging to develop a holistic interpretation. In this
Chirranjeevi Balaji, Gopal +17 more
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, 2021 Development and Validation of an Interpretable 3-day Intensive Care Unit Readmission Prediction Model Using Explainable Boosting ...
Stefan Hegselmann
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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
Interpretable semisupervised classifier for predicting cancer stages
, 2021 Machine learning techniques in medicine have been at the forefront addressing challenges such as diagnosis, prognosis prediction, or precision medicine. In this field, the data are sometimes abundant but comes from different data sources or lack assigned
Nowe, A., Sengupta, D., Grau, I.
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More Interpretable Decision Trees
, 2021 We present a new Decision Tree Classifier (DTC) induction algorithm that produces vastly more interpretable trees in many situations. These understandable trees are highly relevant for explainable artificial intelligence, fair automatic classification ...
René Hexel +5 more
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Frontiers in Plant Science, 2022 Rice is one of the most important food crops for human beings. Its total production ranks third in the grain crop output. Bacterial Leaf Blight (BLB), as one of the three major diseases of rice, occurs every year, posing a huge threat to rice production ...
Yifei Cao +7 more
doaj +1 more source
Informed, Interactive, and Interpretable Machine Learning for Forward Kinematics of Robot Arms [PDF]
, 2022 Machine learning (ML) is becoming increasingly sought after in diverse domains. Unfortunately for this objective, most ML research has focused too much on improving performance on evaluation metrics such as accuracy to the exclusion of other qualities ...
Kanneganti, Sai Teja
core
Interpretable Decisions Trees via Human-in-the-Loop-Learning
, 2022 Interactive machine learning (IML) enables models that incorporate human expertise because the human collaborates in the building of the learned model.
Hexel, Rene +2 more
core +1 more source