Robert Palovics
Robert Palovics
Postdoctoral Research Fellow, Stanford University
Verified email at
Cited by
Cited by
A single cell transcriptomic atlas characterizes aging tissues in the mouse
Tabula Muris Consortium
Nature 583 (7817), 590, 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
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
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
Temporal influence over the Last. fm social network
R Pálovics, AA Benczúr
Social Network Analysis and Mining 5 (1), 4, 2015
Online Machine Learning in Big Data Streams
AA Benczúr, L Kocsis, R Pálovics
arXiv preprint arXiv:1802.05872, 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
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
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
Node embeddings in dynamic graphs
F Béres, DM Kelen, R Pálovics, AA Benczúr
Applied Network Science 4 (1), 1-25, 2019
Temporal prediction of retweet count
R Pálovics, B Daróczy, AA Benczúr
Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International …, 2013
Online ranking prediction in non-stationary environments
E Frigó, R Pálovics, D Kelen, L Kocsis, A Benczúr
CEUR-WS. org, 2017
Temporal walk based centrality metric for graph streams
F Béres, R Pálovics, A Oláh, AA Benczúr
Applied network science 3 (1), 1-26, 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
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
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
Tutorial on open source online learning recommenders
R Pálovics, D Kelen, AA Benczúr
Proceedings of the Eleventh ACM Conference on Recommender Systems, 400-401, 2017
Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization
R Pálovics, P Szalai, L Kocsis, A Szabó, E Frigó, J Pap, ZK Nyikes, ...
Proceedings of the 2015 International ACM Recommender Systems Challenge, 4, 2015
Text Classification Kernels for Quality Prediction over the C3 Data Set
B Daroczy, D Siklois, R Palovics, AA Benczur
Proceedings of the 24th International Conference on World Wide Web, 1441-1446, 2015
Raising graphs from randomness to reveal information networks
R Pálovics, AA Benczúr
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
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