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Inferring Multidimensional Rates of Aging from Cross-Sectional Data [article]

Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang
2019 arXiv   pre-print
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]

Dao Nguyen Vinh, Nguyen Thi Duy Nhat, Erwin de Bruin, Nguyen Ha Thao Vy, Tran Thi Nhu Thao, Huynh Thi Phuong, Pham Hong Anh, Stacy Todd, Tran Minh Quan, Nguyen Thi Le Thanh, Nguyen Thi Nam Lien, Nguyen Thi Hong Ha (+10 others)
2021 medRxiv   pre-print
, (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

Yuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang, Xing Xie
2015 Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM '15  
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]

Jinliang Xu, Shangguang Wang, Fangchun Yang, Rong N. Chang
2017 arXiv   pre-print
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

Noa Malem-Shinitski, Yingzhuo Zhang, Daniel T. Gray, Sara N. Burke, Anne C. Smith, Carol A. Barnes, Demba Ba
2018 Journal of Neuroscience Methods  
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

Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang, Yi Chang
2015 Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM '15  
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

Thomas M. Cullen, Caleb M. Brown, Kentaro Chiba, Kirstin S. Brink, Peter J. Makovicky, David C. Evans
2021 Biology Letters  
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]

Yanjun Pan, Alon Efrat, Ming Li, Boyang Wang, Hanyu Quan, Joseph Mitchell, Jie Gao, Esther Arkin
2020 arXiv   pre-print
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

Vincent Bindschaedler, Paul Grubbs, David Cash, Thomas Ristenpart, Vitaly Shmatikov
2018 Proceedings of the VLDB Endowment  
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]

Luigi Antelmi, for the Alzheimer's Disease Neuroimaging Initiative, Nicholas Ayache, Philippe Robert, Marco Lorenzi
2018 Lecture Notes in Computer Science  
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

Francesca Bozzano, Carlo Esposito, Paolo Mazzanti, Mauro Patti, Stefano Scancella
2018 Remote Sensing  
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

Gabriel Ziegler
2012 Frontiers in Neuroinformatics  
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]

Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
2018 arXiv   pre-print
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]

Jinliang Xu, Shangguang Wang, Fangchun Yang, Jie Tang
2017 arXiv   pre-print
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

Pengyuan Wang, Yechao Liu, Marsha Meytlis, Han-Yun Tsao, Jian Yang, Pei Huang
2014 Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14  
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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