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Niek Tax
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Predictive business process monitoring with LSTM neural networks
N Tax, I Verenich, M La Rosa, M Dumas
Proceedings of the International Conference on Advanced Information Systems …, 2017
5832017
Mining local process models
N Tax, N Sidorova, R Haakma, WMP van der Aalst
Journal of Innovation in Digital Ecosystems 3 (2), 183-196, 2016
1392016
Event abstraction for process mining using supervised learning techniques
N Tax, N Sidorova, R Haakma, WMP van der Aalst
Proceedings of the SAI Intelligent Systems Conference, 2016
1212016
A cross-benchmark comparison of 87 learning to rank methods
N Tax, S Bockting, D Hiemstra
Information processing & management 51 (6), 757-772, 2015
1152015
Discovering More Precise Process Models from Event Logs by Filtering Out Chaotic Activities
N Tax, N Sidorova, WMP van der Aalst
Journal of Intelligent Information Systems, 1-33, 2017
1032017
Predicting The Dutch Football Competition Using Public Data: A Machine Learning Approach
N Tax, Y Joustra
2014, 2014
862014
The Imprecisions of Precision Measures in Process Mining
N Tax, X Lu, N Sidorova, D Fahland, WMP van der Aalst
Information Processing Letters 135, 1-8, 2018
802018
An interdisciplinary comparison of sequence modeling methods for next-element prediction
N Tax, I Teinemaa, SJ van Zelst
Software and Systems Modeling 19 (6), 1345-1365, 2020
622020
Evaluating conformance measures in process mining using conformance propositions
AF Syring, N Tax, WMP van der Aalst
Transactions on Petri Nets and Other Models of Concurrency XIV, 192-221, 2019
582019
Fire now, fire later: alarm-based systems for prescriptive process monitoring
SA Fahrenkrog-Petersen, N Tax, I Teinemaa, M Dumas, M de Leoni, ...
Knowledge and Information Systems, 2021
542021
Alarm-based prescriptive process monitoring
I Teinemaa, N Tax, M de Leoni, M Dumas, FM Maggi
Business Process Management Forum: BPM Forum 2018, Sydney, NSW, Australia …, 2018
522018
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks
N Tax
Proceedings of the International Conference on Intelligent Environments, 2018
502018
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models
F Mannhardt, N Tax
International Working Conference on Business Process Modeling, Development …, 2017
502017
Mining Process Model Descriptions of Daily Life through Event Abstraction
N Tax, N Sidorova, R Haakma, WMP van der Aalst
Intelligent Systems and Applications 751, 2017
432017
Heuristic approaches for generating local process models through log projections
N Tax, N Sidorova, WMP van der Aalst, R Haakma
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2016
352016
Interest-Driven Discovery of Local Process Models
N Tax, B Dalmas, N Sidorova, WMP van der Aalst, S Norre
Information Systems, 2018
242018
Generating Time-Based Label Refinements to Discover More Precise Process Models
N Tax, E Alasgarov, N Sidorova, R Haakma, WMP van der Aalst
Journal of Ambient Intelligence and Smart Environments 11 (2), 165-182, 2019
222019
On generation of time-based label refinements
N Tax, E Alasgarov, N Sidorova, R Haakma
Proceedings of the 25th International Workshop on Concurrency, Specification …, 2016
172016
Log-based evaluation of label splits for process models
N Tax, N Sidorova, R Haakma, WMP van der Aalst
Procedia Computer Science 96, 63-72, 2016
172016
Machine learning for fraud detection in e-Commerce: A research agenda
N Tax, KJ de Vries, M de Jong, N Dosoula, B van den Akker, J Smith, ...
Deployable Machine Learning for Security Defense: Second International …, 2021
162021
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