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Jan Niklas Adams
Jan Niklas Adams
PhD Student, Process and Data Science, Computer Science, RWTH Aachen University
Verified email at pads.rwth-aachen.de - Homepage
Title
Cited by
Cited by
Year
Precision and Fitness in Object-Centric Process Mining
JN Adams, WMP Van Der Aalst
ICPM, 128-135, 2021
302021
A Framework for Explainable Concept Drift Detection in Process Mining
JN Adams, SJ van Zelst, L Quack, K Hausmann, WMP van der Aalst, ...
BPM, 400-416, 2021
302021
A Framework for Extracting and Encoding Features from Object-Centric Event Data
JN Adams, G Park, S Levich, D Schuster, WMP van der Aalst
ICSOC, 36-53, 2022
252022
Defining Cases and Variants for Object-Centric Event Data
JN Adams, D Schuster, S Schmitz, G Schuh, WMP van der Aalst
ICPM, 128-135, 2022
202022
Explainable concept drift in process mining
JN Adams, SJ van Zelst, T Rose, WMP van der Aalst
Information Systems 114, 102177, 2023
182023
OPerA: Object-Centric Performance Analysis
G Park, JN Adams, WMP van der Aalst
ER, 281-292, 2022
182022
OCπ: Object-Centric Process Insights
JN Adams, WMP van der Aalst
Petri Nets, 139-150, 2022
162022
ocpa: A Python library for object-centric process analysis
JN Adams, G Park, WMP van der Aalst
Software Impacts 14, 100438, 2022
122022
Object-Centric Alignments
L Liss, JN Adams, WMP van der Aalst
ER, 201–219, 2023
42023
OCEL (Object-Centric Event Log) 2.0 Specification
A Berti, I Koren, JN Adams, G Park, B Knopp, N Graves, M Rafiei, L Liß, ...
arXiv preprint arXiv:2403.01975, 2024
22024
Preserving complex object-centric graph structures to improve machine learning tasks in process mining
JN Adams, G Park, WMP van der Aalst
Engineering Applications of Artificial Intelligence 125, 106764, 2023
22023
Addressing Convergence, Divergence, and Deficiency Issues
JN Adams, WMP van der Aalst
International Conference on Business Process Management, 496-507, 2023
22023
An Experimental Evaluation of Process Concept Drift Detection
JN Adams, C Pitsch, T Brockhoff, WMP van der Aalst
PVLDB 16 (8), 1856-1869, 2023
22023
Discovering High-Quality Process Models Despite Data Scarcity
JN Adams, J Peeperkorn, T Brockhoff, I Terrier, H Göhner, MS Uysal, ...
arXiv preprint arXiv:2310.11332, 2023
12023
Critical appraisal of machine learning prognostic models for acute pancreatitis: protocol for a systematic review
A Hassan, B Critelli, I Lahooti, A Lahooti, N Matzko, JN Adams, L Liss, ...
Diagnostic and Prognostic Research 8 (1), 6, 2024
2024
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Articles 1–15