| Scalable similarity-based neighborhood methods with mapreduce S Schelter, C Boden, V Markl Proceedings of the sixth ACM conference on Recommender systems, 163-170, 2012 | 82 | 2012 |
| Distributed matrix factorization with mapreduce using a series of broadcast-joins S Schelter, C Boden, M Schenck, A Alexandrov, V Markl Proceedings of the 7th ACM Conference on Recommender Systems, 281-284, 2013 | 63 | 2013 |
| Benchmarking data flow systems for scalable machine learning C Boden, A Spina, T Rabl, V Markl Proceedings of the 4th ACM SIGMOD Workshop on Algorithms and Systems for …, 2017 | 35 | 2017 |
| Large-scale social-media analytics on stratosphere C Boden, M Karnstedt, M Fernández, V Markl Proceedings of the 22nd International Conference on World Wide Web, 257-260, 2013 | 26 | 2013 |
| Distributed machine learning-but at what cost C Boden, T Rabl, V Markl Machine learning systems workshop at the 2017 conference on neural …, 2017 | 20 | 2017 |
| PEEL: A framework for benchmarking distributed systems and algorithms C Boden, A Alexandrov, A Kunft, T Rabl, V Markl Performance Evaluation and Benchmarking for the Analytics Era: 9th TPC …, 2018 | 17 | 2018 |
| Exploratory relation extraction in large text corpora A Akbik, T Michael, C Boden Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 16 | 2014 |
| ADABench-towards an industry standard benchmark for advanced analytics T Rabl, C Brücke, P Härtling, S Stars, R Escobar Palacios, H Patel, ... Performance Evaluation and Benchmarking for the Era of Cloud (s) 11th TPC …, 2020 | 11 | 2020 |
| FactCrawl: A Fact Retrieval Framework for Full-Text Indices. C Boden, A Löser, C Nagel, S Pieper WebDB, 2011 | 11 | 2011 |
| Classification algorithms for relation prediction C Boden, T Häfele, A Löser 2011 IEEE 27th International Conference on Data Engineering Workshops, 46-52, 2011 | 9* | 2011 |
| Extracting a repository of events and event references from news clusters S Julinda, C Boden, A Akbik Proceedings of the first aha!-workshop on information discovery in text, 14-18, 2014 | 7 | 2014 |
| Industry panel on defining industry standards for benchmarking artificial intelligence R Nambiar, S Ghandeharizadeh, G Little, C Boden, A Dholakia Performance Evaluation and Benchmarking for the Era of Artificial …, 2019 | 6 | 2019 |
| Beyond search: Retrieving complete tuples from a text-database A Löser, C Nagel, S Pieper, C Boden Information Systems Frontiers, 1-19, 2013 | 4 | 2013 |
| Fact-aware document retrieval for information extraction C Boden, A Löser, C Nagel, S Pieper Datenbank-Spektrum 12, 89-100, 2012 | 4 | 2012 |
| Self-supervised Web search for any-k complete tuples A Löser, C Nagel, S Pieper, C Boden Proceedings of the 2nd International Workshop on Business intelligencE and …, 2011 | 4 | 2011 |
| Benchmarking distributed data processing systems for machine learning workloads C Boden, T Rabl, S Schelter, V Markl Performance Evaluation and Benchmarking for the Era of Artificial …, 2019 | 3 | 2019 |
| The Berlin Big Data Center (BBDC) C Boden, T Rabl, V Markl it-Information Technology 60 (5-6), 321-326, 2018 | 1 | 2018 |
| Benchmarking dataflow systems for scalable machine learning C Boden | | 2018 |
Sebastian SchelterProfessor at BIFOLD & TU BerlinDirección de correo verificada de tu-berlin.de
