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Multi-view Personality Profiling Based on Longitudinal Data [chapter]

Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov
2018 Lecture Notes in Computer Science  
Experimental results show that incorporation of multi-source temporal data allows for more accurate personality profiling, as compared to non-temporal baselines and different data source combinations.  ...  Specifically, we propose the idea of fusing multisource multi-modal temporal data in our computational "PersonalL-STM" framework for automatic user personality inference.  ...  Personality Profiling This section presents our multi-view temporal data learning approach for the task of automatic personality profiling. McCrae et al.  ... 
doi:10.1007/978-3-319-98932-7_2 fatcat:abgbdkstzrbnje4qpkbn32avtq

Integrative Analysis of Longitudinal Metabolomics Data from a Personal Multi-Omics Profile

Larissa Stanberry, George Mias, Winston Haynes, Roger Higdon, Michael Snyder, Eugene Kolker
2013 Metabolites  
The iPOP experimental design, data acquisition and analysis issues are discussed within the broader context of personal profiling.  ...  The integrative personal omics profile (iPOP) is a pioneering study that combines genomics, transcriptomics, proteomics, metabolomics and autoantibody profiles from a single individual over a 14-month  ...  Based on our analysis, we discussed specific recommendations for multi-omics profile studies, including consistent protocols for data acquisition, the need for randomization in sample preparation and instrumental  ... 
doi:10.3390/metabo3030741 pmid:24958148 pmcid:PMC3901289 fatcat:wt7ai7tjo5hdlcsyccym2w6tfm

Developing an analytical framework for multiple perspective, qualitative longitudinal interviews (MPQLI)

Susanne Vogl, Ulrike Zartler, Eva-Maria Schmidt, Irene Rieder
2017 International Journal of Social Research Methodology  
So far, little attention has been paid to the methodological challenges of data analysis in multiple perspectives longitudinal research.  ...  We exemplify the suggested strategies with our own research on the transition to parenthood.  ...  Recently, she completed her work on her PhD thesis on parenting between care and career. Irene Rieder is a researcher at the University of Vienna. She holds a Masters degree in Sociology.  ... 
doi:10.1080/13645579.2017.1345149 fatcat:p7tg4tvt4jcafmqhkxkw7pk2j4

DISABILITY AND LONELINESS: SOCIAL-STRUCTURAL AND PSYCHOSOCIAL ROLES OF COGNITIVE IMPAIRMENT

2016 The gerontologist  
We use two large data sets, English Longitudinal Study of Ageing and the Cognitive Function and Ageing Study Wales, to extend our existing understanding of this area both substantively and methodologically  ...  Focusing on participants' baseline physical function appeared to be one of the key factors for enhancing the adherence among EF participants, underscoring the importance of offering classes at various  ...  Using data from wave 2 of the English Longitudinal Study of Ageing (n=6384) Latent Class Analysis generated six distinct profiles of loneliness and isolation based upon 10 items that measured loneliness  ... 
doi:10.1093/geront/gnw162.2025 fatcat:ouald2zbe5bzlb2lut3ipeinsy

Page 171 of International Journal of Methods in Psychiatric Research Vol. 5, Issue 3 [page]

1995 International Journal of Methods in Psychiatric Research  
The pattern approach is based on a person-oriented, interactional view of the adaptation process.  ...  Twelve clusters were identified: one cluster with no problems, five single-problem and six two- or multi-problem clusters.  ... 

A longitudinal big data approach for precision health

Sophia Miryam Schüssler-Fiorenza Rose, Kévin Contrepois, Kegan J. Moneghetti, Wenyu Zhou, Tejaswini Mishra, Samson Mataraso, Orit Dagan-Rosenfeld, Ariel B. Ganz, Jessilyn Dunn, Daniel Hornburg, Shannon Rego, Dalia Perelman (+18 others)
2019 Nature Medicine  
We explored the ability of deep longitudinal profiling to make health-related discoveries, identify clinically relevant molecular pathways and affect behavior in a prospective longitudinal cohort (n =  ...  The cohort underwent integrative personalized omics profiling from samples collected quarterly for up to 8 years (median, 2.8 years) using clinical measures and emerging technologies including genome,  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH, the Department of Veteran Affairs, or the SNSF.  ... 
doi:10.1038/s41591-019-0414-6 pmid:31068711 pmcid:PMC6713274 fatcat:ejbfv35cp5cipjajelbzkh6mvi

A Whole New Ball Game: Harvesting Game Data for Player Profiling

Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Specifically, in this work, we approach the task of player gender prediction based on various types of game data.  ...  However, the literature on automatic learning from the game data is relatively sparse, which had inspired us to tackle the problem of player profiling in this first preliminary study.  ...  (time) RF (158 trees) 0.557 Multi-View  ... 
doi:10.1609/aaai.v33i01.330110025 fatcat:cxe43avxuregbms5qgcer4rquq

GOING PUBLIC WITH PERSONAL GENETICS

MARIE BALFOUR
2018 Berkeley scientific journal  
Results from the Integrated Personal Omics Profiling (iPOP) study, a longitudinal study assessing extensive biochemical profiling data, have suggested links between omics data and disease outcomes.  ...  Personalized genomics tests can help people understand their personal health profile, and this is one of the main reasons why personal genetic tests have been on the rise since their commercial inception  ... 
doi:10.5070/bs3222039583 fatcat:wzzfisz6sjb2djgmjq3otqyfmq

LONG-TERM MONITORING OF GLACIER CHANGE AT GÖSSNITZKEES (AUSTRIA) USING TERRESTRIAL PHOTOGRAMMETRY

V. Kaufmann, G. Seier
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Based on our practical investigations we found out that SfM-based software is in general capable of handling terrestrial photographs in a fully automatic mode supporting challenging glacier studies.  ...  approaches, and secondly, to document and quantify the glacier change at Gössnitzkees based on available information augmented by results obtained from the most recent surveys mentioned.  ...  The hill-shade of Figure 1 is based on a DEM provided by TIRIS, Land Tirol.  ... 
doi:10.5194/isprs-archives-xli-b8-495-2016 fatcat:kqt5g7auknbq3b6yc3tukfoq2q

LONG-TERM MONITORING OF GLACIER CHANGE AT GÖSSNITZKEES (AUSTRIA) USING TERRESTRIAL PHOTOGRAMMETRY

V. Kaufmann, G. Seier
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Based on our practical investigations we found out that SfM-based software is in general capable of handling terrestrial photographs in a fully automatic mode supporting challenging glacier studies.  ...  approaches, and secondly, to document and quantify the glacier change at Gössnitzkees based on available information augmented by results obtained from the most recent surveys mentioned.  ...  The hill-shade of Figure 1 is based on a DEM provided by TIRIS, Land Tirol.  ... 
doi:10.5194/isprsarchives-xli-b8-495-2016 fatcat:i5hned4t25ho3mfcqpjwvz5jvy

A roadmap towards personalized immunology

Sylvie Delhalle, Sebastian F. N. Bode, Rudi Balling, Markus Ollert, Feng Q. He
2018 npj Systems Biology and Applications  
Significant achievements using "Omics" data have been made especially in personalized oncology.  ...  Big data generation and computational processing will enable medicine to evolve from a "one-size-fits-all" approach to precise patient stratification and treatment.  ...  personalized biomarkers based on multi-layer chronological "Omics" and clinical data, to more precisely stratify immune-related diseases and sequentially personalize treatments (Fig. 1, Step 1-3) .  ... 
doi:10.1038/s41540-017-0045-9 pmid:29423275 pmcid:PMC5802799 fatcat:mrh4gptkrbemxf3ykewsa5b3j4

Driver Characteristics Oriented Autonomous Longitudinal Driving System in Car-Following Situation

Haksu Kim, Kyunghan Min, Myoungho Sunwoo
2020 Sensors  
Furthermore, driver parameters are determined by the driver parameter manager according to individual driving behavior based on real driving data.  ...  In this paper, we proposed a personalized longitudinal driving system in a car-following situation, which mimics personal driving behavior.  ...  Figure 7 shows the process of activating the driver parameter based on data.  ... 
doi:10.3390/s20216376 pmid:33182240 fatcat:fnbl6iyu3rhl5dxap35uybkgyy

Structure of a Multi-Year Pressure Ridge

A. Kovacs, W.F. Weeks, S. Ackley, W.D. Hibler
1973 Arctic  
This suggests that form drag coefficients for flow transverse to the long axes of multi-year ridges may be as high as 0.8.  ...  Les auteurs présentent trois profils en travers d'une grande crête de pression située dans la mer de Beaufort.  ...  Fig. 9 shows similar profile data obtained from the multi-year ice adjoining the ridge. In all of the profiles there is a gradual increase in the salinity with depth.  ... 
doi:10.14430/arctic2893 fatcat:cwkit3q2u5cvfialvtpqu4zfge

Temperament profiles of Sasang typology in a child clinical sample

Soo Jin Lee, Soo Hyun Park, Han Chae
2012 Integrative Medicine Research  
With further investigation into the biopsychological profiles of the children, the longitudinal stability of the Sasang typology can be examined.  ...  The aim of this study was to examine the biopsychological personality profiles of traditional Korean Sasang typology in a clinical sample of Korean children.  ...  Since Sasang typology is based on personality 7 and genetic heritability, 8, 9 the longitudinal stability of such personality characteristics should be explored with infant or preschool children as well  ... 
doi:10.1016/j.imr.2012.10.001 pmid:28664043 pmcid:PMC5481685 fatcat:nfdb6knrhbburhvkb74252k6pu

Social Media-based User Embedding: A Literature Review

Shimei Pan, Tao Ding
2019 Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence  
In this survey, we review typical methods for learning a unified user embeddings from heterogeneous user data (e.g., combines social media texts with images to learn a unified user representation).  ...  The technology is critical for creating high performance social media-based human traits and behavior models since the ground truth for assessing latent human traits and behavior is often expensive to  ...  Multi-View User Embedding To obtain a comprehensive and unified user representation based on all the social media data available, we need to combine user features from different views together.  ... 
doi:10.24963/ijcai.2019/881 dblp:conf/ijcai/PanD19 fatcat:inw55rewvzh5nckevzvrsexwii
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