12 citations · 27 across the 9 of their papers we have counts for
4 papers · 1 filter
Secure Multi-Party Computation for Inter-Organizational Process Mining
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas +3
Process mining is a family of techniques for analysing business processes based on event logs extracted from information systems. Mainstream process mining tools are designed for i…
Parallel Computation of Graph Embeddings
Chi Thang Duong, Hongzhi Yin, Thanh Dat Hoang +4
Graph embedding aims at learning a vector-based representation of vertices that incorporates the structure of the graph. This representation then enables inference of graph propert…
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa +4
Predictive process monitoring is a family of techniques to analyze events produced during the execution of a business process in order to predict the future state or the final outc…
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers
Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich +3
Deep learning models are trained on servers with many GPUs, and training must scale with the number of GPUs. Systems such as TensorFlow and Caffe2 train models with parallel synchr…