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Inferring Multidimensional Rates of Aging from Cross-Sectional Data
[article]
2019
arXiv
pre-print
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Motivated by the study of human aging, we present an interpretable latent-variable model that learns temporal dynamics from cross-sectional data. ...
On the UK Biobank human health dataset, our model reconstructs the observed data while learning interpretable rates of aging associated with diseases, mortality, and aging risk factors. ...
In this paper, we introduce a method to learn a generative model of a multi-dimensional temporal process from cross-sectional data. ...
arXiv:1807.04709v3
fatcat:jobkallrnzejnd2j32twp4qlau
Age-seroprevalence curves for the multi-strain structure of influenza A virus
[article]
2021
medRxiv
pre-print
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, (2) an analysis of >24,000 individuals, using >260,000 serological data points in total, allowing us to construct age-seroprevalence relationships with the precision of modern big data studies, and ( ...
The novel contributions of this analysis are (1) the introduction of dimensionality reduction on human antibody profiles to construct an age-seroprevalence relationship for an antigenically variable pathogen ...
Data Availability Data and code are posted publicly at https://github.com/bonilab/seroepi-02FL-influenza-vietnam-PCA. ...
doi:10.1101/2021.01.03.21249160
fatcat:sxujeo6c7vf6dk4wucb5hb74xm
You Are Where You Go
2015
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM '15
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Several recent studies suggest that demographic attributes are predictable from different online behavioral data, such as users' "Likes" on Facebook, friendship relations, and the linguistic characteristics ...
We collect a large dataset consisting of profiles of 159, 530 verified users from an online social network. ...
Age Age inference is considered a regression task. Figure 9 plots the RMSE of all compared methods when changing the ratio of training data. ...
doi:10.1145/2684822.2685287
dblp:conf/wsdm/ZhongYZZX15
fatcat:kgze2uokrjhorldjieraaopueq
Cognitive Inference of Demographic Data by User Ratings
[article]
2017
arXiv
pre-print
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2017 pre-print arXiv:1703.04216v1 fatcat:bqbm3j4rz5h6pocg44dk7eqeym
In this paper, we investigate the inference power of user ratings data, and propose a simple yet general cognitive inference model, called rating to profile (R2P), to infer user demographics from user ...
We introduce how to incorporate user ratings data into the research field of cognitive inference of user demographic data, and detail the model development and optimization process for the proposed R2P ...
ACKNOWLEDGMENT This work was supported in part by the National Science Foundation of China (61472047 and 61571066). ...
arXiv:1703.04216v2
fatcat:oigbzvfv7rbptjr7bpvx3h6oja
A separable two-dimensional random field model of binary response data from multi-day behavioral experiments
2018
Journal of Neuroscience Methods
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The study of learning in populations of subjects can provide insights into the changes that occur in the brain with aging, drug intervention, and psychiatric disease. ...
We propose a two-dimensional model of binary response data from multi-day behavioral experiments termed the SMuRF (separably Markov random field) model, first introduced in [9] . ...
dynamics for the purpose of making inferences in this experiment (e.g. the effect of age on performance). ...
doi:10.1016/j.jneumeth.2018.04.006
pmid:29679704
pmcid:PMC6417888
fatcat:othfkmg47fd5fbzdrqiud5p6jm
Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis
2015
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM '15
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Our new framework enables analysis on uni-or multi-dimensional ad treatments, where each dimension (ad treatment factor) could be discrete or continuous. ...
Moreover, to be practical in the data-rich online environment, the measurement needs to be highly general and efficient, which is not addressed in conventional causal inference approaches. ...
Causal inference aims to infer unbiased causality effect of the ad treatment from observational data on chosen outcome metric, e.g., the effect of ads on success rates, by eliminating the impact of the ...
doi:10.1145/2684822.2685294
dblp:conf/wsdm/WangSYYC15
fatcat:dfcl2chyofhvlcd7df2prccwby
Growth variability, dimensional scaling, and the interpretation of osteohistological growth data
2021
Biology Letters
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Here, we use a combination of theoretical models and empirical data from a range of extant and extinct tetrapods to review sources of variability in common osteohistological measurements, their dimensional ...
useful inferences for studies of growth and life history. ...
We thank the staff of the Field Museum of Natural History, Royal Ontario Museum, Royal Tyrrell Museum of Palaeontology and Canadian Museum of Nature for permission and assistance with destructive sampling ...
doi:10.1098/rsbl.2021.0383
pmid:34755552
pmcid:PMC8580441
fatcat:xni5o55zb5f3loaevy4xmhfxgy
Data Inference from Encrypted Databases: A Multi-dimensional Order-Preserving Matching Approach
[article]
2020
arXiv
pre-print
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In this paper, for the first time, we study data inference attacks on multi-dimensional encrypted databases (with 2-D as a special case). ...
So far, the effectiveness of such attacks is limited to single-dimensional dense data (most values from the domain are encrypted), but it remains challenging to achieve it on high-dimensional datasets ...
[16] proposed an inference attack against property-preserving encryption on multi-dimensional data. This attack operates column by column. ...
arXiv:2001.08773v1
fatcat:kjqyufylbfc35hpzp636evwyca
The tao of inference in privacy-protected databases
2018
Proceedings of the VLDB Endowment
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We design, implement, and evaluate a new methodology for inferring data stored in such encrypted databases. ...
The cornerstone is the multinomial attack, a new inference technique that is analytically optimal and empirically outperforms prior heuristic attacks against PRE-encrypted data. ...
Portions of this paper were written while Grubbs was visiting Royal Holloway, University of London. Grubbs ...
doi:10.14778/3236187.3236217
fatcat:ejulkfgpwjdhxc3ckxua3vlkrq
Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease
[chapter]
2018
Lecture Notes in Computer Science
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A detailed list of funding actors can be found in the Acknowledgments section of the Supplementary Material . ...
Experiments on synthetic data show that the multi-channel formulation allows superior data reconstruction as opposed to the single channel one. ...
(c) Pairwise representations of one latent dimension (out of 16) inferred from each of the four data channel. ...
doi:10.1007/978-3-030-02628-8_2
fatcat:nualegbrffhpjdjlgbsucvay6u
Imaging Multi-Age Construction Settlement Behaviour by Advanced SAR Interferometry
2018
Remote Sensing
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The results of A-DInSAR analyses conducted from 1992 to 2015 have been interpreted in light of high-resolution geological/geotechnical models, the age of the construction, and the types of foundations ...
Because most of the Persistent Scatterer Interferometry (PSI) measurement points (Persistent Scatterers, PSs) lie on structures and infrastructures, the foundation type and the age of a construction are ...
Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2018, 10, 1137 ...
doi:10.3390/rs10071137
fatcat:jumswjaelrhtzaurftqktfnpai
Models of the aging brain structure and individual decline
2012
Frontiers in Neuroinformatics
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The presented models first address the estimation of age trajectories, then we consider inter-individual variations of structural decline, using a repeated measures design. ...
Together these methods afford analysis of aging brain structure in relation to behavioral, health, or cognitive parameters. ...
annual decline rates obtained from either longitudinal or cross-sectional studies. ...
doi:10.3389/fninf.2012.00003
pmid:22435060
pmcid:PMC3303090
fatcat:hdxpbkadbvc43lbghh646fjmum
Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease
[article]
2018
arXiv
pre-print
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Experiments on synthetic data show that the multi-channel formulation allows superior data reconstruction as opposed to the single channel one. ...
These issues are here addressed by proposing a novel multi-channel stochastic generative model. ...
(c) Pairwise representations of one latent dimension (out of 16) inferred from each of the four data channel. ...
arXiv:1808.03662v1
fatcat:f75molx6vvc6xes5gqcrylhbxm
Multiple User Context Inference by Fusing Data Sources
[article]
2017
arXiv
pre-print
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2017 pre-print arXiv:1703.04215v1 fatcat:mqcuecit5zbyhd7a3f5t7b2wuu
Our study is based on large telecommunication datasets from the local mobile operator of Shanghai, China, and consists of two data sources, 4.6 million call detail records and 7.5 million data traffic ...
Inference of user context information, including user's gender, age, marital status, location and so on, has been proven to be valuable for building context aware recommender system. ...
USER CONTEXT INFERENCE MODEL In this section, we detail the proposed user context inference model that aims to infer user gender and age information from CDR and DTR datasets. ...
arXiv:1703.04215v2
fatcat:xopongn57nb3poy25a63oczg4e
An efficient framework for online advertising effectiveness measurement and comparison
2014
Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14
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However the existing methods were not designed for the online advertising campaign, which usually suffers from huge volume of users, high dimensionality, high sparsity and imbalance. ...
., success rate) among users who were and who were not exposed to a certain treatment of ads. ...
In Section 9, we outline how to generalize the framework to multi-treatment cases and more general treatment regimes, where the treatment can be continuous and/or multi-dimensional. ...
doi:10.1145/2556195.2556235
dblp:conf/wsdm/WangLMTYH14
fatcat:ek7wuyzjgnftdiboepphwg3qwm
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