9 citations · 13 across the 5 of their papers we have counts for
5 papers
Leveraging Data Augmentation and Siamese Learning for Predictive Process Monitoring
Sjoerd van Straten, Alessandro Padella, Marwan Hassani
Predictive Process Monitoring (PPM) enables forecasting future events or outcomes of ongoing business process instances based on event logs. However, deep learning PPM approaches a…
Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions
Haseeb Tariq, Marwan Hassani
Money launderers exploit the weaknesses in detection systems by purposefully placing their ill-gotten money into multiple accounts, at different banks. That money is then layered a…
Clustering-based Aggregations for Prediction in Event Streams
Yorick Spenrath, Marwan Hassani, Boudewijn F. Van Dongen
Predicting the behaviour of shoppers provides valuable information for retailers, such as the expected spend of a shopper or the total turnover of a supermarket. The ability to mak…
A Framework for Efficient Memory Utilization in Online Conformance Checking
Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen
Conformance checking (CC) techniques of the process mining field gauge the conformance of the sequence of events in a case with respect to a business process model, which simply pu…
What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning
István Ketykó, Felix Mannhardt, Marwan Hassani +1
Deep Learning is proven to be an effective tool for modeling sequential data as shown by the success in Natural Language, Computer Vision and Signal Processing. Process Mining conc…