| A single cell transcriptomic atlas characterizes aging tissues in the mouse Tabula Muris Consortium Nature 583 (7817), 590, 2020 | 230 | 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 | 79 | 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 | 61 | 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 | 40 | 2016 |
| Temporal influence over the Last. fm social network R Pálovics, AA Benczúr Social Network Analysis and Mining 5 (1), 4, 2015 | 28 | 2015 |
| Online Machine Learning in Big Data Streams AA Benczúr, L Kocsis, R Pálovics arXiv preprint arXiv:1802.05872, 2018 | 26 | 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 | 18 | 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 | 17 | 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 | 16 | 2019 |
| Node embeddings in dynamic graphs F Béres, DM Kelen, R Pálovics, AA Benczúr Applied Network Science 4 (1), 1-25, 2019 | 15 | 2019 |
| Temporal prediction of retweet count R Pálovics, B Daróczy, AA Benczúr Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International …, 2013 | 15 | 2013 |
| Online ranking prediction in non-stationary environments E Frigó, R Pálovics, D Kelen, L Kocsis, A Benczúr CEUR-WS. org, 2017 | 11 | 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 | 10 | 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 | 10 | 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 | 6 | 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 | 6 | 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 | 4 | 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 | 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 | 4 | 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 | 3 | 2017 |
András BenczúrInstitute for Computer Science and ControlVerified email at sztaki.hu
