Prof. Assaf Schuster of the Computer Science Department at the Technion published over 250 papers in the areas of Machine Learning, AI, Streaming Data, Big Data Systems, Parallel and Distributed Computing, Scalability. He is a Fellow of the ACM and the IEEE, and is heading MLIS, the Technion center for Machine Learning and Intelligent Systems.
Publications
- Join Query Optimization Techniques for Complex Event Processing Applications
- Efficient Adaptive Detection of Complex Event Patterns
- DLACEP: A Deep-Learning Based Framework for Approximate Complex Event Processing
- Mining Logical Arithmetic Expressions From Proper Representations
- HYPERSONIC: A Hybrid Parallelization Approach for Scalable Complex Event Processing
- DARLING: Data-Aware Load Shedding in Complex Event Processing Systems