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Nijat Mehdiyev
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Year
Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry
N Mehdiyev, J Lahann, A Emrich, D Enke, P Fettke, P Loos
Procedia Computer Science 114, 242-249, 2017
1442017
Stock market prediction with multiple regression, fuzzy type-2 clustering and neural networks
D Enke, M Grauer, N Mehdiyev
Procedia Computer Science 6, 201-206, 2011
1232011
Evaluating forecasting methods by considering different accuracy measures
N Mehdiyev, D Enke, P Fettke, P Loos
Procedia Computer Science 95, 264-271, 2016
1092016
A Novel Business Process Prediction Model Using a Deep Learning Method
N Mehdiyev, J Evermann, P Fettke
Business & Information Systems Engineering, 1-15, 2018
992018
Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory
JR Rehse, N Mehdiyev, P Fettke
KI-Künstliche Intelligenz, 1-7, 2019
952019
Determination of rule patterns in complex event processing using machine learning techniques
N Mehdiyev, J Krumeich, D Enke, D Werth, P Loos
Procedia Computer Science 61, 395-401, 2015
952015
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring
N Mehdiyev, P Fettke
Interpretable Artificial Intelligence: A Perspective of Granular Computing …, 2021
882021
A multi-stage deep learning approach for business process event prediction
N Mehdiyev, J Evermann, P Fettke
19th IEEE Conference on Business Informatics (CBI) 1, 119-128, 2017
792017
Stock market prediction using a combination of stepwise regression analysis, differential evolution-based fuzzy clustering, and a fuzzy inference neural network
D Enke, N Mehdiyev
Intelligent Automation & Soft Computing 19 (4), 636-648, 2013
752013
A hybrid neuro-fuzzy model to forecast inflation
D Enke, N Mehdiyev
Procedia Computer Science 36, 254-260, 2014
562014
Prescriptive process analytics with deep learning and explainable artificial intelligence
N Mehdiyev, P Fettke
28th European Conference on Information Systems (ECIS 2020), 2020
372020
Determination of event patterns for complex event processing using fuzzy unordered rule induction algorithm with multi-objective evolutionary feature subset selection
N Mehdiyev, J Krumeich, D Werth, P Loos
49th Hawaii International Conference on System Sciences (HICSS), 1719-1728, 2016
252016
iPRODICT–Intelligent Process Prediction based on Big Data Analytics
N Mehdiyev, A Emrich, B Stahmer, P Fettke, P Loos
212017
Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing
N Mehdiyev, P Fettke
29th European Conference on Information Systems (ECIS 2021), 2021
182021
Explainable Artificial Intelligence (XAI) Supporting Public Administration Processes–On the Potential of XAI in Tax Audit Processes
N Mehdiyev, C Houy, O Gutermuth, L Mayer, P Fettke
16th International Conference on Wirtschaftsinformatik 2021, 2021
182021
Towards an extended metamodel of event-driven process chains to model complex event patterns
J Krumeich, N Mehdiyev, D Werth, P Loos
Advances in Conceptual Modeling: ER 2015 Workshops AHA, CMS, EMoV, MoBID …, 2015
162015
Manufacturing execution systems driven process analytics: A case study from individual manufacturing
L Mayer, N Mehdiyev, P Fettke
Procedia CIRP 97, 284-289, 2021
152021
Identification of distinct usage patterns and prediction of customer behavior
S Dadashnia, T Niesen, P Hake, P Fettke, N Mehdiyev, J Evermann
BPI Challenge, 2016
122016
Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective
N Mehdiyev, M Majlatow, P Fettke
Annals of Operations Research, 1-40, 2024
112024
A new hybrid approach for forecasting interest rates
D Enke, N Mehdiyev
Procedia Computer Science 12, 259-264, 2012
102012
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