2018 (4)
- J. Burys, A. J. Awan, T. Heinis, Large-Scale Clustering Using MPI-Based Canopy, 2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC), 2018
- Louis Blin, Ahsan Javed Awan, Thomas Heinis, Using Neuromorphic Hardware for the Scalable Execution of Massively Parallel, Communication-Intensive Algorithms, 2018 IEEE/ACM International Conference on Utility and Cloud ComputingCompanion (UCC 2018), 2018
- Thomas Heinis, Adriane Chapman, Provenance Storage, Encyclopedia of Database Systems, Second Edition, 2018
- Giannis Evagorou, Thomas Heinis, Visual Exploration and Interaction with Scientific Data in Virtual Reality, Workshop on Interactive Data Exploration and Analytics at KDD 2018, 2018
2017 (6)
- Thomas Heinis, Anastasia Ailamaki, Data Infrastructure for Medical Research, Foundations and Trends in Databases, volume 8, pp.131–238, 2017
- Tianrun Li, Thomas Heinis, Wayne Luk, ADvaNCE - Efficient and Scalable Approximate Density-Based Clustering Based on Hashing, Informatica, Lith. Acad. Sci., volume 28, pp.105–130, 2017
- Dong-Wan Choi, Jian Pei, Thomas Heinis, Efficient Mining of Regional Movement Patterns in Semantic Trajectories, PVLDB, volume 10, 2017
- Axel Oehmichen, Florian Guitton, Kai Sun, Jean Grizet, Thomas Heinis, Yike Guo, eTRIKS analytical environment: A modular high performance frameworkfor medical data analysis, IEEE International Conference on Big Data (BigData 2017), Boston, MA, USA, 2017
- Thomas Heinis, Neuromorphic Hardware As Database Co-Processors, 8th Biennial Conference on Innovative Data Systems Research (CIDR 2017), Chaminade, CA, USA, 2017
- Giannis Evagorou, Thomas Heinis, STATS - A Point Access Method for Multidimensional Clusters, 28th International Conference on Database and Expert Systems Applications (DEXA 2017), Lyon, France, 2017
