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Large Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features
2016
Knowledge Discovery and Data Mining
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We propose a novel probabilistic generative model by tightly integrating components of natural language processing, dynamic transfer learning and scalable prediction, named Dynamic Transfer Learning with ...
Novelties of this framework include (i) A novel natural language modeling specifically tailored for semantic inputs of CVR prediction; (ii) A Bayesian transfer learning model to dynamically transfer the ...
A novel dynamic Bayesian transfer learning prediction framework that includes global and local semantic features processed from part 1. ...
dblp:conf/kdd/YangLQH16
fatcat:yhfilbxmuzf6zh5x43psxwex7q
Challenges of Deep Learning Methods for COVID-19 Detection Using Public Datasets
[article]
2020
medRxiv
pre-print
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A large number of studies in the past months have proposed deep learning-based Artificial Intelligence (AI) tools for automated detection of COVID-19 using publicly available datasets of Chest X-rays ( ...
of developing deep learning models with such datasets. ...
Acknowledgement We would like to thank all the people who contributed to make the chest radiography images of COVID-19 publicly available in this current COVID-19 pandemic situation. ...
doi:10.1101/2020.11.07.20227504
fatcat:5q7b2rkkwfgurkypjfjcvj75su
Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer
[article]
2022
arXiv
pre-print
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However, there are two key challenges in applying it to advertising systems: a) the limited scale of labeled overlapping samples, and b) the high cost of real-time cross-agency serving. ...
Empirical studies on three industrial datasets exhibit the effectiveness of our methods, with the median AUC over all datasets improved by 0.86% and 2.6% in the local deployment mode and the federated ...
We consider both the CVR and CTR prediction problems in this scenario. ...
arXiv:2205.15987v2
fatcat:kvpwbdckuvacfdrso56vbzcbjy
Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction
[article]
2022
arXiv
pre-print
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Accordingly, a mixture of the feature representations is obtained scenario-adaptively and used for the final CTR prediction. ...
To tackle the distribution uncertainty, a set of scenario signals are elaborately devised from a perspective of time series prediction and fed into the FGN, whose output is concatenated with feature representation ...
Global and Kaola. ...
arXiv:2112.13747v2
fatcat:qu7qtomqfbc47j4wrwbb2d7quq
Cardiovascular rna markers and artificial intelligence may improve covid-19 outcome: position paper from the eu-cardiorna cost action ca17129
2021
Cardiovascular Research
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The discovery, validation and marketing of novel biomarkers, including RNA biomarkers, require multi-centre studies by large and interdisciplinary collaborative networks, involving both the academia and ...
They present the benefits and challenges of the discovery of novel RNA biomarkers, the need for networking efforts and the added value of artificial intelligence to achieve reliable advances. ...
forest classifiers to predict lncRNA subcellular localization 120 .Considering the recent success of deep learning, we believe this method to be worth investigating. ...
doi:10.1093/cvr/cvab094
pmid:33839767
pmcid:PMC8083253
fatcat:zhoyffz76rc6dbzud6whagolka
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction
[article]
2021
arXiv
pre-print
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However, in large commercial platforms, it is often the case that the recommenders need to make click-through rate (CTR) predictions for multiple business domains. ...
The shared parameters are applied to learn commonalities of all domains, and the domain-specific parameters capture domain distinction for more refined prediction. ...
) 𝑧 − 𝜇 √ 𝜎 2 + 𝜖 + (𝛽 + 𝛽 𝑝 ), (3) where 𝛾, 𝛽 are the global scale and bias, and 𝛾 𝑝 , 𝛽 𝑝 are the domainspecific scale and bias parameters. ...
arXiv:2101.11427v5
fatcat:fhhvacticzfm3eluhmu47yjepu
A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms
2019
IEEE Access
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A critical function of the DSP is formulating proper bidding strategies to maximize key performance indicators, such as the number of clicks and conversions. ...
The experimental results based on two real-world public datasets demonstrate that the MR significantly outperforms five state-of-the-art models in terms of both revenue and ROI. ...
To validate the effectiveness, we conducted extensive experiments on two real-world large-scale public datasets. ...
doi:10.1109/access.2019.2919450
fatcat:oruhw3eapvcqvmbot2gu3pi3di
Convolutional neural networks in medical image understanding: a survey
2021
Evolutionary Intelligence
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The major medical image understanding tasks, namely image classification, segmentation, localization and detection have been introduced. ...
Applications of CNN in medical image understanding of the ailments of brain, breast, lung and other organs have been surveyed critically and comprehensively. ...
Acknowledgements The authors acknowledge with gratitude the support received from REVA University, Bengaluru, and M. S. Ramaiah University of Applied Sciences, Bengaluru, India. ...
doi:10.1007/s12065-020-00540-3
pmid:33425040
pmcid:PMC7778711
fatcat:ykdwhdv3pzfqpnueyieinxofie
Toward an integrative neurovascular framework for studying brain networks
2022
Neurophotonics
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After going through a brief review of the key concepts of brain network analysis, we explore how the vascular and neuronal systems interact to give rise to the brain functional networks measured with BOLD ...
To study the vascular and neuronal underpinnings of BOLD functional connectivity, we consider a combination of methodological avenues based on multiscale and multimodal optical imaging in mice, used in ...
neuronal and BOLD signal dynamics under certain conditions and time scales? ...
doi:10.1117/1.nph.9.3.032211
pmid:35434179
pmcid:PMC8989057
fatcat:r5mrvle4lvaz3pk3c7n3nqp7z4
Does Admission Body Temperature Predict Mortality After Acute Stroke?
2002
Stroke
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3 by the addition of CVR and an increase in CMRO 2 at the end of stage II. ...
Illustration of the changes in cerebral variables during a progressive decrease in cerebral perfusion pressure and progression through various stages of impaired cerebral circulation modified after Powers ...
High OEF with normal CBV did not predict increased risk for stroke. This observation is germane to the utility of cerebrovascular reserve (CVR) for the prediction of stroke risk. ...
doi:10.1161/01.str.0000049380.04791.c0
pmid:12511739
fatcat:aavadeu6inaxhevarmqwpcnl5u
Beneficial Effect of Albumin Therapy Attributable to 1-Acid Glycoprotein?
2002
Stroke
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3 by the addition of CVR and an increase in CMRO 2 at the end of stage II. ...
Illustration of the changes in cerebral variables during a progressive decrease in cerebral perfusion pressure and progression through various stages of impaired cerebral circulation modified after Powers ...
High OEF with normal CBV did not predict increased risk for stroke. This observation is germane to the utility of cerebrovascular reserve (CVR) for the prediction of stroke risk. ...
doi:10.1161/01.str.0000046761.84916.64
pmid:12511738
fatcat:qv6mipprbffa5nepvjj7lx4tnu
Why Nondominant Hand Movements Cause Bilateral Cortical Activation in Emission Imaging
2002
Stroke
Preserved Fulltext
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3 by the addition of CVR and an increase in CMRO 2 at the end of stage II. ...
Illustration of the changes in cerebral variables during a progressive decrease in cerebral perfusion pressure and progression through various stages of impaired cerebral circulation modified after Powers ...
High OEF with normal CBV did not predict increased risk for stroke. This observation is germane to the utility of cerebrovascular reserve (CVR) for the prediction of stroke risk. ...
doi:10.1161/01.str.0000044952.74952.f7
pmid:12511737
fatcat:witjq7y2ojg2thbry7okoojosq
Stages and Thresholds of Hemodynamic Failure
2002
Stroke
Preserved Fulltext
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3 by the addition of CVR and an increase in CMRO 2 at the end of stage II. ...
Illustration of the changes in cerebral variables during a progressive decrease in cerebral perfusion pressure and progression through various stages of impaired cerebral circulation modified after Powers ...
High OEF with normal CBV did not predict increased risk for stroke. This observation is germane to the utility of cerebrovascular reserve (CVR) for the prediction of stroke risk. ...
doi:10.1161/01.str.0000041048.33908.18
pmid:12511736
fatcat:2a77bps4xjc2rmwpuc7allhl34
Re: Telephone Intervention With Family Caregivers of Stroke Survivors After Rehabilitation
2002
Stroke
Preserved Fulltext
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3 by the addition of CVR and an increase in CMRO 2 at the end of stage II. ...
Illustration of the changes in cerebral variables during a progressive decrease in cerebral perfusion pressure and progression through various stages of impaired cerebral circulation modified after Powers ...
High OEF with normal CBV did not predict increased risk for stroke. This observation is germane to the utility of cerebrovascular reserve (CVR) for the prediction of stroke risk. ...
doi:10.1161/01.str.0000044954.66715.22
pmid:12511741
fatcat:zpp3thea3rda5nft6sjgqqf4e4
Converting Enzyme Inhibitor or AT1-Receptor Blocker for Decreasing Long-Term Mortality in Patients With Stroke History and Renal Dysfunction?
2002
Stroke
Preserved Fulltext
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The file type is application/pdf.
3 by the addition of CVR and an increase in CMRO 2 at the end of stage II. ...
Illustration of the changes in cerebral variables during a progressive decrease in cerebral perfusion pressure and progression through various stages of impaired cerebral circulation modified after Powers ...
High OEF with normal CBV did not predict increased risk for stroke. This observation is germane to the utility of cerebrovascular reserve (CVR) for the prediction of stroke risk. ...
doi:10.1161/01.str.0000044950.15362.a4
pmid:12511742
fatcat:bfgzqs5oabhmrawjib7qi7ss7i
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