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Large Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features

Hongxia Yang, Quan Lu, Angus Xianen Qiu, Chun Han
2016 Knowledge Discovery and Data Mining  
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]

Md. Kamrul Hasan, Md. Ashraful Alam, Lavsen Dahal, Md. Toufick E Elahi, Shidhartho Roy, Sifat Redwan Wahid, Robert Marti, Bishesh Khanal
2020 medRxiv   pre-print
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]

Wenjie Li, Qiaolin Xia, Junfeng Deng, Hao Cheng, Jiangming Liu, Kouying Xue, Yong Cheng, Shu-Tao Xia
2022 arXiv   pre-print
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]

Xiaofeng Pan, Yibin Shen, Jing Zhang, Keren Yu, Hong Wen, Shui Liu, Chengjun Mao, Bo Cao
2022 arXiv   pre-print
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

Lina Badimon, Emma L Robinson, Amela Jusic, Irina Carpusca, Leon J de Windt, Costanza Emanueli, Péter Ferdinandy, Wei Gu, Mariann Gyöngyösi, Matthias Hackl, Kanita Karaduzovic-Hadziabdic, Mitja Lustrek (+8 others)
2021 Cardiovascular Research  
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]

Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu
2021 arXiv   pre-print
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

Tengyun Wang, Haizhi Yang, Han Yu, Wenjun Zhou, Yang Liu, Hengjie Song
2019 IEEE Access  
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

D. R. Sarvamangala, Raghavendra V. Kulkarni
2021 Evolutionary Intelligence  
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

Jérémie Guilbert, Antoine Légaré, Paul De Koninck, Patrick Desrosiers, Michèle Desjardins
2022 Neurophotonics  
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?

K. Takagi, T. Fujimaki, L. P. Kammersgaard, T. S. Olsen
2002 Stroke  
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?

E.-M. Muchitsch, H. P. Schwarz, M. D. Ginsberg, L. Belayev, R. Busto
2002 Stroke  
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

I. Derakhshan, H. Kato, Y. Itoyama, M. Izumiyama, A. Takahashi, H. Koizumi
2002 Stroke  
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

E. M. Nemoto, H. Yonas, Y. Chang
2002 Stroke  
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

E. H. Friedman, J. S. Grant
2002 Stroke  
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?

A. Fournier, O. Godefroy, R. Oprisiu, M. Slama, M. Andrejak, R. S. MacWalter, K. Y.K. Wong, S. Y.S. Wong, A. D. Struthers, Y. Ersoy
2002 Stroke  
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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