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Published in 2018 at "Machine Learning"
DOI: 10.1007/s10994-018-5755-8
Abstract: This paper applies conformal prediction to derive predictive distributions that are valid under a nonparametric assumption. Namely, we introduce and explore predictive distribution functions that always satisfy a natural property of validity in terms of…
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Keywords:
conformal prediction;
distributions based;
based conformal;
nonparametric predictive ... See more keywords
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Published in 2020 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2020.09.006
Abstract: Abstract In this study, we investigated the application of the conformal prediction (CP) concept in the context of short-term electricity price forecasting. In particular, we determined the most important aspects related to the utility of…
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Keywords:
power markets;
power;
conformal prediction;
short term ... See more keywords
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Published in 2020 at "Journal of pharmaceutical sciences"
DOI: 10.1016/j.xphs.2020.09.055
Abstract: One of the challenges with predictive modeling is how to quantify the reliability of the models' predictions on new objects. In this work we give an introduction to conformal prediction, a framework that sits on…
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Keywords:
confidence;
conformal prediction;
using conformal;
drug discovery ... See more keywords
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Published in 2020 at "Chemical Research in Toxicology"
DOI: 10.1021/acs.chemrestox.0c00511
Abstract: Hepatic steatosis (fatty liver) is a severe liver disease induced by the excessive accumulation of fatty acids in hepatocytes. In this study, we developed reliable in silico models for predicting hepatic steatosis on the basis…
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Keywords:
conformal prediction;
hepatic steatosis;
vivo data;
toxicology ... See more keywords
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Published in 2021 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.1c00208
Abstract: Predictive modeling for toxicity can help reduce risks in a range of applications and potentially serve as the basis for regulatory decisions. However, the utility of these predictions can be limited if the associated uncertainty…
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Keywords:
conformal prediction;
deep learning;
toxicity;
conformal predictors ... See more keywords
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Published in 2021 at "Journal of Chemical Information and Modeling"
DOI: 10.1021/acs.jcim.1c00451
Abstract: Computational methods such as machine learning approaches have a strong track record of success in predicting the outcomes of in vitro assays. In contrast, their ability to predict in vivo endpoints is more limited due…
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Keywords:
vivo endpoints;
bioactivity;
conformal prediction;
vivo toxicity ... See more keywords
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Published in 2022 at "Xenobiotica"
DOI: 10.1080/00498254.2022.2049397
Abstract: Abstract Pharmacokinetic/toxicokinetic (PK/TK) information for chemicals in humans is generally lacking. Here we applied machine learning, conformal prediction and a new physiologically-based PK/TK model for prediction of the human PK/TK of 65 chemicals from different…
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Keywords:
silico predictions;
methodology;
human pharmacokinetics;
conformal prediction ... See more keywords
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Published in 2024 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staf515
Abstract: Astronomers often deal with data where the covariates and the dependent variable are measured with heteroscedastic non-Gaussian error. For instance, while TESS and Kepler datasets provide a wealth of information, addressing the challenges of measurement…
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Keywords:
prediction astronomy;
prediction;
conformal prediction;
astronomy ... See more keywords
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Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2025.3567880
Abstract: The growing prominence of eXtended Reality (XR), holographic-type communications, and metaverse demands truly immersive user experiences by using many sensory modalities, including sight, hearing, touch, smell, taste, etc. Additionally, the widespread deployment of sensors in…
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Keywords:
task;
conformal prediction;
sensory modalities;
communication ... See more keywords
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Published in 2024 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2023.3335626
Abstract: Network traffic prediction techniques have attracted much attention since they are valuable for network congestion control and user experience improvement. While existing prediction techniques can achieve favorable performance when there is sufficient training data, it…
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Keywords:
multimodal meta;
prediction;
conformal prediction;
network ... See more keywords
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Published in 2019 at "Applied Spectroscopy"
DOI: 10.1177/0003702819831017
Abstract: This work extends the conventional back-propagation neural network (BPNN) to the classification of Chinese liquors of different flavors according to their Raman spectra. Conformal prediction is applied to assign reliable confidence measures for each classification…
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Keywords:
classification;
confidence;
conformal prediction;
chinese liquors ... See more keywords