Robert Palovics

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András BenczúrInstitute for Computer Science and ControlCorreu electrònic verificat a sztaki.hu
Tony Wyss-CorayStanford UniversityCorreu electrònic verificat a stanford.edu
Fabian Kern, Ph.D.Helmholtz Institute for Pharmaceutical Research SaarlandCorreu electrònic verificat a helmholtz-hips.de
Andreas KellerProfessor for Clinical Bioinformatics, Center for Bioinformatics, Saarland Informatics CampusCorreu electrònic verificat a ccb.uni-saarland.de
Jian LuoPAVIR, VA Palo Alto Health Care SystemCorreu electrònic verificat a stanford.edu
Patricia Morán LosadaSenior Research ScientistCorreu electrònic verificat a stanford.edu
Andrew Chris YangUCSFCorreu electrònic verificat a ucsf.edu
Erzsébet FrigóSZTAKICorreu electrònic verificat a sztaki.hu
Oliver HahnPrincipal Investigator, Calico Life Sciences LLCCorreu electrònic verificat a calicolabs.com
Nannan LuStanford UniversityCorreu electrònic verificat a stanford.edu
Achint KaurPh.D. Student, Northwestern UniversityCorreu electrònic verificat a northwestern.edu
Benoit LehallierAlkahestCorreu electrònic verificat a alkahest.com
Nicholas SchaumUniversity of CambridgeCorreu electrònic verificat a cam.ac.uk
Kruti CalcuttawalaResearch Professional, Stanford UniversityCorreu electrònic verificat a caredx.com
Ryan T VestPostdoctoral Scholar, Stanford UniversityCorreu electrònic verificat a stanford.edu
Elizabeth Y. WangUniversity of HawaiiCorreu electrònic verificat a hawaii.edu
Michael S. HaneyUniversity of PennsylvaniaCorreu electrònic verificat a pennmedicine.upenn.edu
Domokos Miklós KelenEötvös Loránd UniversityCorreu electrònic verificat a sztaki.mta.hu
David Gate, PhDAssistant Professor, Northwestern UniversityCorreu electrònic verificat a northwestern.edu
Nathalie KhouryStanford UniversityCorreu electrònic verificat a med.miami.edu

Segueix

Robert Palovics

Instructor, Stanford University

Correu electrònic verificat a stanford.edu

data mining machine learning single-cell data science


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
A single cell transcriptomic atlas characterizes aging tissues in the mouse Tabula Muris Consortium Nature 583 (7817), 590, 2020	942	2020
A human brain vascular atlas reveals diverse mediators of Alzheimer’s risk AC Yang, RT Vest, F Kern, DP Lee, M Agam, CA Maat, PM Losada, ... Nature 603 (7903), 885-892, 2022	550	2022
Ageing hallmarks exhibit organ-specific temporal signatures N Schaum, B Lehallier, O Hahn, R Pálovics, S Hosseinzadeh, SE Lee, ... Nature 583 (7817), 596-602, 2020	479	2020
Organ aging signatures in the plasma proteome track health and disease HSH Oh, J Rutledge, D Nachun, R Pálovics, O Abiose, P Moran-Losada, ... Nature 624 (7990), 164-172, 2023	194	2023
Young CSF restores oligodendrogenesis and memory in aged mice via Fgf17 T Iram, F Kern, A Kaur, S Myneni, AR Morningstar, H Shin, MA Garcia, ... Nature 605 (7910), 509-515, 2022	162	2022
APOE4/4 is linked to damaging lipid droplets in Alzheimer’s disease microglia MS Haney, R Pálovics, CN Munson, C Long, PK Johansson, O Yip, ... Nature 628 (8006), 154-161, 2024	117	2024
Molecular hallmarks of heterochronic parabiosis at single-cell resolution R Pálovics, A Keller, N Schaum, W Tan, T Fehlmann, M Borja, F Kern, ... Nature 603 (7900), 309-314, 2022	98	2022
Atlas of the aging mouse brain reveals white matter as vulnerable foci O Hahn, AG Foltz, M Atkins, B Kedir, P Moran-Losada, IH Guldner, ... Cell 186 (19), 4117-4133. e22, 2023	77	2023
Exploiting temporal influence in online recommendation R Pálovics, AA Benczúr, L Kocsis, T Kiss, E Frigó Proceedings of the 8th ACM Conference on Recommender systems, 273-280, 2014	76	2014
Recsys challenge 2016: Job recommendations F Abel, A Benczúr, D Kohlsdorf, M Larson, R Pálovics Proceedings of the 10th ACM Conference on Recommender Systems, 425-426, 2016	62	2016
Online Machine Learning in Big Data Streams AA Benczúr, L Kocsis, R Pálovics arXiv preprint arXiv:1802.05872, 2018	57	2018
Node embeddings in dynamic graphs F Béres, DM Kelen, R Pálovics, AA Benczúr Applied Network Science 4 (1), 64, 2019	42	2019
Temporal influence over the Last. fm social network R Pálovics, AA Benczúr Social Network Analysis and Mining 5 (1), 4, 2015	41	2015
Temporal walk based centrality metric for graph streams F Béres, R Pálovics, A Oláh, AA Benczúr Applied network science 3, 1-26, 2018	33	2018
Location-aware online learning for top-k recommendation R Pálovics, P Szalai, J Pap, E Frigó, L Kocsis, AA Benczúr Pervasive and Mobile Computing 38, 490-504, 2017	20	2017
The murine transcriptome reveals global aging nodes with organ-specific phase and amplitude N Schaum, B Lehallier, O Hahn, S Hosseinzadeh, SE Lee, R Sit, DP Lee, ... bioRxiv, 662254, 2019	19	2019
Temporal prediction of retweet count R Pálovics, B Daróczy, AA Benczúr Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International …, 2013	17	2013
APOE4/4 is linked to damaging lipid droplets in Alzheimer’s microglia MS Haney, R Palovics, CN Munson, C Long, P Johansson, O Yip, ... bioRxiv, 2023	13	2023
Single Cell ADNP Predictive of Human Muscle Disorders: Mouse Knockdown Results in Muscle Wasting O Kapitansky, G Karmon, S Sragovich, A Hadar, M Shahoha, I Jaljuli, ... Cells 9 (10), 2320, 2020	13	2020
Online ranking prediction in non-stationary environments E Frigó, R Pálovics, D Kelen, L Kocsis, A Benczúr CEUR-WS. org, 2017	13	2017

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