Nijat Mehdiyev

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 19

Top Topics

Complex Event Processing

Feature Subset Selection

Rule Induction Algorithm

Top Venues

Wirtschaftsinformatik

Complex Adaptive Systems

Publications

Nijat Mehdiyev, Lea Mayer, Johannes Lahann, Peter Fettke
Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium-sized enterprises. Expert Syst. J. Knowl. Eng. 41 (2) (2024)
Nijat Mehdiyev, Maxim Majlatow, Peter Fettke
Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization. Cogn. Comput. 16 (5) (2024)
Kamala Aliyeva, Nijat Mehdiyev
Uncertainty-aware multi-criteria decision analysis for evaluation of explainable artificial intelligence methods: A use case from the healthcare domain. Inf. Sci. 657 (2024)
Nijat Mehdiyev, Maxim Majlatow, Peter Fettke
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective. CoRR (2023)
Nijat Mehdiyev, Maxim Majlatow, Peter Fettke
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring. CoRR (2023)
Nijat Mehdiyev, Maxim Majlatow, Peter Fettke
Explainable Artificial Intelligence Meets Uncertainty Quantification for Predictive Process Monitoring. PMAI@IJCAI (2023)
Nijat Mehdiyev, Maxim Majlatow, Peter Fettke
Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review. CoRR (2023)
Nijat Mehdiyev, Constantin Houy, Oliver Gutermuth, Lea Mayer, Peter Fettke
Explainable Artificial Intelligence (XAI) Supporting Public Administration Processes - On the Potential of XAI in Tax Audit Processes. Wirtschaftsinformatik (2021)
Nijat Mehdiyev, Peter Fettke
Local Post-Hoc Explanations for predictive Process Monitoring in manufacturing. ECIS (2021)
Nijat Mehdiyev, Peter Fettke
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring. CoRR (2020)
Nijat Mehdiyev, Joerg Evermann, Peter Fettke
A Novel Business Process Prediction Model Using a Deep Learning Method. Bus. Inf. Syst. Eng. 62 (2) (2020)
Nijat Mehdiyev, Peter Fettke
Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing. CoRR (2020)
Nijat Mehdiyev
Explainable Process Predictions (xPP): A Holistic Framework and Applications (Extended Abstract). ICPM Doctoral Consortium / Tools (2020)
Nijat Mehdiyev, Peter Fettke
Prescriptive Process Analytics with Deep Learning and Explainable Artificial Intelligence. ECIS (2020)
Patrick Lübbecke, Nijat Mehdiyev, Peter Fettke
Substitution of hazardous chemical substances using Deep Learning and t-SNE. Wirtschaftsinformatik (2019)
Jana-Rebecca Rehse, Nijat Mehdiyev, Peter Fettke
Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory. Künstliche Intell. 33 (2) (2019)
Nijat Mehdiyev, Joerg Evermann, Peter Fettke
A Multi-stage Deep Learning Approach for Business Process Event Prediction. CBI (1) (2017)
Nijat Mehdiyev, Andreas Emrich, Björn P. Stahmer, Peter Fettke, Peter Loos
iPRODICT - Intelligent Process Prediction based on Big Data Analytics. BPM (Industry Track) (2017)
Nijat Mehdiyev, Julian Krumeich, Dirk Werth, Peter Loos
Determination of Event Patterns for Complex Event Processing Using Fuzzy Unordered Rule Induction Algorithm with Multi-objective Evolutionary Feature Subset Selection. HICSS (2016)
Nijat Mehdiyev, Julian Krumeich, Dirk Werth, Peter Loos
Sensor event mining with hybrid ensemble learning and evolutionary feature subset selection model. IEEE BigData (2015)
Nijat Mehdiyev, Julian Krumeich, David Enke, Dirk Werth, Peter Loos
Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques. Complex Adaptive Systems (2015)
Julian Krumeich, Nijat Mehdiyev, Dirk Werth, Peter Loos
Towards an Extended Metamodel of Event-Driven Process Chains to Model Complex Event Patterns. ER Workshops (2015)
David Enke, Nijat Mehdiyev
A Hybrid Neuro-fuzzy Model to Forecast Inflation. Complex Adaptive Systems (2014)
Nijat Mehdiyev, David Enke
Interest rate prediction: a neuro-hybrid approach with data preprocessing. Int. J. Gen. Syst. 43 (5) (2014)
David Enke, Nijat Mehdiyev
Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network. Intell. Autom. Soft Comput. 19 (4) (2013)
David Enke, Nijat Mehdiyev
Type-2 Fuzzy Clustering and a Type-2 Fuzzy Inference Neural Network for the Prediction of Short-term Interest Rates. Complex Adaptive Systems (2013)
David Enke, Nijat Mehdiyev
A New Hybrid Approach For Forecasting Interest Rates. Complex Adaptive Systems (2012)
David Enke, Manfred Grauer, Nijat Mehdiyev
Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks. Complex Adaptive Systems (2011)