| 2026 | SAC | MP-Former: Transformer-Based Online Multi-Task Anomaly Detection. | Ronald C. van den Broek, Haseeb Tariq, Marwan Hassani |
| 2026 | SAC | Extracting Money Laundering Transactions from Quasi-Temporal Graph Representation. | Haseeb Tariq, Marwan Hassani |
| 2025 | CoopIS | Leveraging Data Augmentation and Siamese Learning for Predictive Process Monitoring. | Sjoerd van Straten, Alessandro Padella, Marwan Hassani |
| 2025 | SAC | Leveraging Contrastive Learning and Spatial Encoding for Prediction in Traffic Networks with Expanding Infrastructure. | You Xu, Marwan Hassani |
| 2024 | CaiSE | Online Next Activity Prediction Under Concept Drifts. | Thaddeus Kosciuszek, Marwan Hassani |
| 2024 | CoopIS | Unsupervised Anomaly Detection of Prefixes in Event Streams Using Online Autoencoders. | Zyrako Musaj, Marwan Hassani |
| 2024 | CoopIS | Handling Catastrophic Forgetting: Online Continual Learning for Next Activity Prediction. | Tamara Verbeek, Marwan Hassani |
| 2024 | CoopIS | Autoencoder-Based Detection of Delays, Handovers and Workloads over High-Level Events. | Irne Verwijst, Robin Mennens, Roeland Scheepens, Marwan Hassani |
| 2024 | EDBT | Online Prediction Threshold Optimization Under Semi-deferred Labelling. | Yorick Spenrath, Marwan Hassani, Boudewijn Frans van Dongen |
| 2024 | ICPM | Task-Free Continual Learning with Dynamic Loss for Online Next Activity Prediction. | Tamara Verbeek, Ruozhu Yao, Marwan Hassani |
| 2024 | IDEAS | Outlier-Weighted Traffic Flow Prediction Using Online Autoencoders. | Himanshu Choudhary, Ahmad B. Alkhodre, Marwan Hassani |
| 2024 | SAC | Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction. | Himanshu Choudhary, Marwan Hassani |
| 2023 | COMPSAC | PrefixCDD: Effective Online Concept Drift Detection over Event Streams using Prefix Trees. | Jess Huete, Abdulhakim Ali Qahtan, Marwan Hassani |
| 2022 | COMPSAC | BitBooster: Effective Approximation of Distance Metrics via Binary Operations. | Yorick Spenrath, Marwan Hassani, Boudewijn F. van Dongen |
| 2022 | ICPM | Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings. | Lisan Wolters, Marwan Hassani |
| 2022 | MDM | Evaluation of Probability Distribution Distance Metrics in Traffic Flow Outlier Detection. | Erik Andersen, Marco Chiarandini, Marwan Hassani, Stefan Jnicke, Panagiotis Tampakis, Arthur Zimek |
| 2022 | SAC | What averages do not tell: predicting real life processes with sequential deep learning. | Istvn Ketyk, Felix Mannhardt, Marwan Hassani, Boudewijn F. van Dongen |
| 2022 | SAC | Efficient memory utilization in conformance checking of process event streams. | Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen |
| 2021 | COMPSAC | Enhancing LSTM Prediction of Vehicle Traffic Flow Data via Outlier Correlations. | Wesley Fitters, Alfredo Cuzzocrea, Marwan Hassani |
| 2021 | ECMS | Predicting Next Touch Point In A Customer Journey: A Use Case In Telecommunication. | Marwan Hassani, Stefan Habets |
| 2021 | ICPM | Online Prediction of Aggregated Retailer Consumer Behaviour. | Yorick Spenrath, Marwan Hassani, Boudewijn F. van Dongen |
| 2020 | BPM | Data Minimisation as Privacy and Trust Instrument in Business Processes. | Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen |
| 2020 | ECMS | Predicting Business Process Bottlenecks In Online Events Streams Under Concept Drifts. | Yorick Spenrath, Marwan Hassani |
| 2019 | BPM | Online Comparison of Streaming Process Discovery Algorithms. | Kavya Baskar, Marwan Hassani |
| 2019 | ECMS | Concept Drift Detection Of Event Streams Using An Adaptive Window. | Marwan Hassani |
| 2019 | EDBT | Ensemble-Based Prediction of Business Processes Bottlenecks With Recurrent Concept Drifts. | Yorick Spenrath, Marwan Hassani |
| 2019 | SAC | Optimizing customer journey using process mining and sequence-aware recommendation. | Alessandro Terragni, Marwan Hassani |
| 2018 | COMPSAC | Towards Effective Generation of Synthetic Memory References Via Markovian Models. | Alfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani, Giorgio Mario Grasso |
| 2018 | ICDM | Effective Steering of Customer Journey via Order-Aware Recommendation. | Jol Goossens, Tiblets Demewez, Marwan Hassani |
| 2018 | SMC | An Effective and Efficient Approach for Supporting the Generation of Synthetic Memory Reference Traces via Hierarchical Hidden/Non-Hidden Markov Models. | Alfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani |
| 2017 | SAC | Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction. | Marwan Hassani, Daniel Tws, Thomas Seidl |
| 2017 | SSDBM | Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering. | Yifeng Lu, Marwan Hassani, Thomas Seidl |
| 2016 | CCGRID | I-HASTREAM: Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools. | Marwan Hassani, Pascal Spaus, Alfredo Cuzzocrea, Thomas Seidl |
| 2016 | EDBT | Towards an Efficient Ranking of Interval-Based Patterns. | Marwan Hassani, Yifeng Lu, Thomas Seidl |
| 2016 | ICDM | Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining. | Erik Scharwchter, Emmanuel Mller, Jonathan F. Donges, Marwan Hassani, Thomas Seidl |
| 2015 | BTW | Sequential Pattern Mining of Multimodal Streams in the Humanities. | Marwan Hassani, Christian Beecks, Daniel Tws, Tatiana Serbina, Max Haberstroh, Paula Niemietz, Sabina Jeschke, Stella Neumann, Thomas Seidl |
| 2015 | BTW | Optimizing Sequential Pattern Mining Within Multiple Streams. | Daniel Tws, Marwan Hassani, Christian Beecks, Thomas Seidl |
| 2015 | ICDM | Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases. | Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl |
| 2015 | ISM | Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance. | Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl |
| 2015 | KDD | Adaptive Stream Clustering Using Incremental Graph Maintenance. | Marwan Hassani, Pascal Spaus, Alfredo Cuzzocrea, Thomas Seidl |
| 2015 | PAKDD | Internal Clustering Evaluation of Data Streams. | Marwan Hassani, Thomas Seidl |
| 2014 | DASFAA | Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering. | Marwan Hassani, Thomas Seidl |
| 2014 | PAKDD | Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System. | Marwan Hassani, Ayman Tarakji, Lyubomir Georgiev, Thomas Seidl |
| 2014 | SSDBM | (k, d)-core anonymity: structural anonymization of massive networks. | Roland Assam, Marwan Hassani, Michael Brysch, Thomas Seidl |
| 2014 | SSDBM | Subspace anytime stream clustering. | Marwan Hassani, Philipp Kranen, Rajveer Saini, Thomas Seidl |
| 2013 | DASFAA | Untitled record | Marwan Hassani, Yunsu Kim, Thomas Seidl |
| 2013 | ICCSA | Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data. | Ayman Tarakji, Marwan Hassani, Stefan Lankes, Thomas Seidl |
| 2013 | PAKDD | Effective Evaluation Measures for Subspace Clustering of Data Streams. | Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl |
| 2012 | Mobiquitous | Differential Private Trajectory Obfuscation. | Roland Assam, Marwan Hassani, Thomas Seidl |
| 2012 | SSDBM | BT* - An Advanced Algorithm for Anytime Classification. | Philipp Kranen, Marwan Hassani, Thomas Seidl |
| 2011 | MDM | Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams. | Marwan Hassani, Thomas Seidl |
| 2009 | KDD | EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers. | Marwan Hassani, Emmanuel Mller, Thomas Seidl |