Robert Palovics

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András BenczúrInstitute for Computer Science and ControlEmail verificata su sztaki.hu
Tony Wyss-CorayStanford UniversityEmail verificata su stanford.edu
Andreas KellerProfessor for Clinical Bioinformatics, Center for Bioinformatics, Saarland Informatics CampusEmail verificata su ccb.uni-saarland.de
Fabian Kern, Ph.D.Helmholtz Institute for Pharmaceutical Research SaarlandEmail verificata su helmholtz-hips.de
Jian LuoPAVIR, VA Palo Alto Health Care SystemEmail verificata su stanford.edu
Andrew Chris YangUCSFEmail verificata su ucsf.edu
Patricia Morán LosadaPostdoc at Stanford School of MedicineEmail verificata su stanford.edu
Erzsébet FrigóSZTAKIEmail verificata su sztaki.hu
Kruti CalcuttawalaResearch Professional, Stanford UniversityEmail verificata su caredx.com
Nicholas SchaumAstera InstituteEmail verificata su vt.edu
David Gate, PhDAssistant Professor, Northwestern UniversityEmail verificata su northwestern.edu
Nathalie KhouryStanford UniversityEmail verificata su med.miami.edu
Ryan T VestPostdoctoral Scholar, Stanford UniversityEmail verificata su stanford.edu
Davis Park LeeStanfordEmail verificata su stanford.edu
Michelle B ChenStanford UniversityEmail verificata su stanford.edu
Andrew ShinAssistant Project Scientist at Jules Stein Eye Institute, UCLAEmail verificata su ucla.edu
Elizabeth Y. WangUniversity of HawaiiEmail verificata su hawaii.edu
Oliver HahnPrincipal Investigator, Calico Life Sciences LLCEmail verificata su calicolabs.com
Nannan LuStanford UniversityEmail verificata su stanford.edu
Achint KaurPh.D. Student, Northwestern UniversityEmail verificata su northwestern.edu

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Robert Palovics

Instructor, Stanford University

Email verificata su stanford.edu

data mining machine learning single-cell data science


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
A single cell transcriptomic atlas characterizes aging tissues in the mouse Tabula Muris Consortium Nature 583 (7817), 590, 2020	655	2020
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	297	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	257	2022
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	92	2022
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	70	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	53	2016
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	45	2022
Online Machine Learning in Big Data Streams AA Benczúr, L Kocsis, R Pálovics arXiv preprint arXiv:1802.05872, 2018	45	2018
A human brain vascular atlas reveals diverse cell mediators of Alzheimer’s disease risk AC Yang, RT Vest, F Kern, DP Lee, CA Maat, PM Losada, MB Chen, ... bioRxiv, 2021	37	2021
Temporal influence over the Last. fm social network R Pálovics, AA Benczúr Social Network Analysis and Mining 5 (1), 4, 2015	37	2015
Node embeddings in dynamic graphs F Béres, DM Kelen, R Pálovics, AA Benczúr Applied Network Science 4 (1), 1-25, 2019	35	2019
Temporal walk based centrality metric for graph streams F Béres, R Pálovics, A Oláh, AA Benczúr Applied network science 3 (1), 1-26, 2018	22	2018
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	18	2019
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	18	2017
Temporal prediction of retweet count R Pálovics, B Daróczy, AA Benczúr Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International …, 2013	17	2013
Online ranking prediction in non-stationary environments E Frigó, R Pálovics, D Kelen, L Kocsis, A Benczúr CEUR-WS. org, 2017	11	2017
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	9	2020
Online machine learning algorithms over data streams AA Benczúr, L Kocsis, R Pálovics Journal: Encyclopedia of Big Data Technologies, 1-9, 2018	9	2018
RecSys Challenge 2014: an ensemble of binary classifiers and matrix factorization R Pálovics, F Ayala-Gómez, B Csikota, B Daróczy, L Kocsis, ... Proceedings of the 2014 Recommender Systems Challenge, 13-18, 2014	9	2014
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	8	2023

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