| Cloud based social and sensor data fusion SR Yerva, H Jeung, K Aberer 2012 15th International Conference on Information Fusion, 2494-2501, 2012 | 54 | 2012 |
| It was easy, when apples and blackberries were only fruits SR Yerva, Z Miklós, K Aberer WePS-3, colocated with CLEF, 2010 | 49 | 2010 |
| Quality-aware similarity assessment for entity matching in Web data SR Yerva, Z Miklós, K Aberer Information Systems 37 (4), 336-351, 2012 | 36 | 2012 |
| Entity-based Classification of Twitter Messages SR Yerva, Z Miklos, K Aberer International Journal of Computer Science & Applications 9, 88-115, 2012 | 34 | 2012 |
| What have fruits to do with technology? The case of Orange, Blackberry and Apple SR Yerva, Z Miklós, K Aberer Proceedings of the International Conference on Web Intelligence, Mining and …, 2011 | 27 | 2011 |
| Tripeneer: User-based travel plan recommendation application S Yerva, F Grosan, A Tandrau, K Aberer Proceedings of the International AAAI Conference on Web and Social Media 7 …, 2013 | 18 | 2013 |
| Entity disambiguation in tweets leveraging user social profiles SR Yerva, M Catasta, G Demartini, K Aberer 2013 IEEE 14th International Conference on Information Reuse & Integration …, 2013 | 12 | 2013 |
| Social and sensor data fusion in the cloud SR Yerva, J Saltarin, H Jeung, K Aberer 2012 IEEE 13th International Conference on Mobile Data Management, 276-277, 2012 | 11 | 2012 |
| Towards better entity resolution techniques for Web document collections SR Yerva, Z Miklós, K Aberer 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW …, 2010 | 11 | 2010 |
| TweetSpector: Entity-based retrieval of Tweets SR Yerva, Z Miklós, F Grosan, A Tandrau, K Aberer Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 8 | 2012 |
| Entities on the Web: Resolution, Matching and Profiling SR YERVA ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE, 2013 | 3 | 2013 |
| Food knowledge graph for a health tracking system S Hesamoddin, SR Yerva, S Poojit, F Kent, B Iman, M Layla US Patent US20190355465A1, 2019 | 2* | 2019 |
| Deep multi-modal pairwise ranking model for crowdsourced food data SR Yerva, I Barjasteh, P Howell, C Lee, H Salehian US Patent 11,106,742, 2021 | | 2021 |
| Deep multi-modal pairwise ranking model for crowdsourced food data S Hesamoddin, SR Yerva, B Iman, H Patrick, L Chul US Patent 11106742B2, 2019 | | 2019 |
| A Deep Multi-Modal Pairwise Ranking Model for Crowdsourced Food Data H Salehian, SR Yerva, I Barjasteh, P Howell, C Lee ASONAM 2018, 2018 | | 2018 |
| Entities on the Web SR YERVA EPFL, 2013 | | 2013 |
| LSIR B Agir, PA Arion, A Astafiev, M Banaei, PA Beckmann, M Benjamin, ... | | |
| P2P’08 I Aad, O Abboud, VS Agneeswaran, A Aguilar, A Ahmad, I Aktas, ... | | |
| Evaluation of Scheduling Policies in a Staged-Database System N Bonvin, R Narendula, SR Yerva | | |
| Dynamical Networks: Analysis of P2P Networks SR Yerva | | |
Karl AbererProfessor of Computer and Communication Sciences, EPFLVerified email at epfl.ch
