Robert Palovics

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András BenczúrInstitute for Computer Science and ControlVerified email at sztaki.hu
Erzsébet FrigóSZTAKIVerified email at sztaki.hu
Fabian Kern, Ph.D.Saarland UniversityVerified email at ccb.uni-saarland.de
Andreas KellerProfessor for Clinical Bioinformatics, Center for Bioinformatics, Saarland Informatics CampusVerified email at ccb.uni-saarland.de
Tony Wyss-CorayStanford UniversityVerified email at stanford.edu
Domokos Miklós KelenEötvös Loránd UniversityVerified email at sztaki.mta.hu
Nicholas SchaumAstera InstituteVerified email at astera.org
Kruti CalcuttawalaResearch Professional, Stanford UniversityVerified email at caredx.com
Andrew Chris YangUCSFVerified email at ucsf.edu
Bálint DaróczyPostdoc. at Université catholique de Louvain & SZTAKIVerified email at uclouvain.be
Kocsis LeventeMTA SZTAKIVerified email at sztaki.hu
David Gate, PhDAssistant Professor, Northwestern UniversityVerified email at northwestern.edu
Nathalie KhouryStanford UniversityVerified email at med.miami.edu
Patricia Morán LosadaPostdoc at Stanford School of MedicineVerified email at stanford.edu
Ryan T VestPostdoctoral Scholar, Stanford UniversityVerified email at stanford.edu
Davis Park LeeStanfordVerified email at stanford.edu
Michelle B ChenStanford UniversityVerified email at stanford.edu
Andrew ShinAssistant Project Scientist at Jules Stein Eye Institute, UCLAVerified email at ucla.edu
Elizabeth Y. WangColumbia UniversityVerified email at cumc.columbia.edu
Ferenc BéresInstitute for Computer Science and ControlVerified email at sztaki.hu

Robert Palovics

Postdoctoral Research Fellow, Stanford University

Verified email at stanford.edu

data mining machine learning single-cell data science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A single cell transcriptomic atlas characterizes aging tissues in the mouse Tabula Muris Consortium Nature 583 (7817), 590, 2020	348	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	148	2020
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	64	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	43	2016
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	39	2022
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	33	2021
Online Machine Learning in Big Data Streams AA Benczúr, L Kocsis, R Pálovics arXiv preprint arXiv:1802.05872, 2018	32	2018
Temporal influence over the Last. fm social network R Pálovics, AA Benczúr Social Network Analysis and Mining 5 (1), 4, 2015	32	2015
Node embeddings in dynamic graphs F Béres, DM Kelen, R Pálovics, AA Benczúr Applied Network Science 4 (1), 1-25, 2019	21	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
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	17	2019
Temporal prediction of retweet count R Pálovics, B Daróczy, AA Benczúr Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International …, 2013	16	2013
Temporal walk based centrality metric for graph streams F Béres, R Pálovics, A Oláh, AA Benczúr Applied network science 3 (1), 1-26, 2018	13	2018
Online ranking prediction in non-stationary environments E Frigó, R Pálovics, D Kelen, L Kocsis, A Benczúr CEUR-WS. org, 2017	12	2017
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	10	2014
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	9	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	7	2022
Location-Aware Online Learning for Top-k Hashtag Recommendation. R Palovics, P Szalai, L Kocsis, J Pap, E Frigó, AA Benczúr LocalRec@ RecSys, 36-39, 2015	6	2015
Alpenglow: Open source recommender framework with time-aware learning and evaluation E Frigó, R Pálovics, D Kelen, L Kocsis, A Benczúr CEUR-WS. org, 2017	5	2017
Reinforcement learning, unsupervised methods, and concept drift in stream learning AA Benczúr, L Kocsis, R Pálovics Encyclopedia of Big Data Technologies, 1-8, 2018	4	2018

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