Marwan Hassani
Orcid: 0000-0002-4027-4351Affiliations:
- Eindhoven University of Technology, The Netherlands
According to our database1,
Marwan Hassani
authored at least 86 papers
between 2009 and 2025.
Collaborative distances:
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Online presence:
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on win.tue.nl
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on orcid.org
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on dl.acm.org
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Bibliography
2025
CoRR, July, 2025
Leveraging Contrastive Learning and Spatial Encoding for Prediction in Traffic Networks with Expanding Infrastructure.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025
2024
Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024
Proceedings of the Database Engineered Applications - 28th International Symposium, 2024
Proceedings of the Process Mining Workshops, 2024
Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024
Autoencoder-Based Detection of Delays, Handovers and Workloads over High-Level Events.
Proceedings of the Cooperative Information Systems - 30th International Conference, 2024
Handling Catastrophic Forgetting: Online Continual Learning for Next Activity Prediction.
Proceedings of the Cooperative Information Systems - 30th International Conference, 2024
Unsupervised Anomaly Detection of Prefixes in Event Streams Using Online Autoencoders.
Proceedings of the Cooperative Information Systems - 30th International Conference, 2024
Proceedings of the Advanced Information Systems Engineering Workshops, 2024
2023
Inf. Syst., July, 2023
Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes.
CoRR, 2023
Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
PrefixCDD: Effective Online Concept Drift Detection over Event Streams using Prefix Trees.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
What averages do not tell: predicting real life processes with sequential deep learning.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Can we Learn from Outliers? Unsupervised Optimization of Intelligent Vehicle Traffic Management Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Evaluation of Probability Distribution Distance Metrics in Traffic Flow Outlier Detection.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022
Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings.
Proceedings of the Process Mining Workshops, 2022
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
2021
Frontiers Big Data, 2021
CoRR, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Data-driven Support of Coaches in Professional Cycling using Race Performance Prediction.
Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support, 2021
Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021
Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
2020
SN Comput. Sci., 2020
Why Did My Consumer Shop? Learning an Efficient Distance Metric for Retailer Transaction Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Predicting Business Process Bottlenecks In Online Events Streams Under Concept Drifts.
Proceedings of the 34th International ECMS Conference on Modelling and Simulation, 2020
Proceedings of the Business Process Management Workshops, 2020
2019
On the application of sequential pattern mining primitives to process discovery: Overview, outlook and opportunity identification.
WIREs Data Mining Knowl. Discov., 2019
Online conformance checking: relating event streams to process models using prefix-alignments.
Int. J. Data Sci. Anal., 2019
<i>BFSPMiner</i>: an effective and efficient batch-free algorithm for mining sequential patterns over data streams.
Int. J. Data Sci. Anal., 2019
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Proceedings of the Digital Transformation for a Sustainable Society in the 21st Century, 2019
Ensemble-Based Prediction of Business Processes Bottlenecks With Recurrent Concept Drifts.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019
Proceedings of the 33rd International ECMS Conference on Modelling and Simulation, 2019
Proceedings of the Dissertation Award, 2019
An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
An Effective and Efficient Approach for Supporting the Generation of Synthetic Memory Reference Traces via Hierarchical Hidden/Non-Hidden Markov Models.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the 6th IEEE International Conference on Future Internet of Things and Cloud, 2018
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018
2017
Using internal evaluation measures to validate the quality of diverse stream clustering algorithms.
Vietnam. J. Comput. Sci., 2017
Automated Pattern Analysis in Gesture Research: Similarity Measuring in 3D Motion Capture Models of Communicative Action.
Digit. Humanit. Q., 2017
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017
Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction.
Proceedings of the Symposium on Applied Computing, 2017
2016
it Inf. Technol., 2016
Int. J. Semantic Comput., 2016
Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Proceedings of the 19th International Conference on Extending Database Technology, 2016
I-HASTREAM: Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016
2015
Subspace clustering of data streams: new algorithms and effective evaluation measures.
J. Intell. Inf. Syst., 2015
Proceedings of the Advances in Spatial and Temporal Databases, 2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015
Proceedings of the LWA 2015 Workshops: KDML, 2015
Proceedings of the 4th International Workshop on Big Data, 2015
Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance.
Proceedings of the 2015 IEEE International Symposium on Multimedia, 2015
Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Proceedings of the Datenbanksysteme für Business, Technologie und Web (BTW 2015), 2015
Proceedings of the Datenbanksysteme für Business, 2015
Proceedings of the Beyond Databases, Architectures and Structures, 2015
2014
Proceedings of the Conference on Scientific and Statistical Database Management, 2014
Proceedings of the Conference on Scientific and Statistical Database Management, 2014
Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014
Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering.
Proceedings of the Database Systems for Advanced Applications, 2014
2013
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013
Proceedings of the 3rd International Workshop on Information Management for Mobile Applications, 2013
Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013
Proceedings of the Database Systems for Advanced Applications, 2013
2012
J. Digit. Inf. Manag., 2012
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012
Proceedings of the Scientific and Statistical Database Management, 2012
Proceedings of the Networked Digital Technologies - 4th International Conference, 2012
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2012
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoStreaming, 2012
2011
Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams.
Proceedings of the 12th IEEE International Conference on Mobile Data Management, 2011
Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time.
Proceedings of the Report of the symposium "Lernen, 2011
2009
EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009