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2020 – today
- 2023
[j7]Felix Oberdorf, Myriam Schaschek, Sven Weinzierl, Nikolai Stein, Martin Matzner, Christoph M. Flath:
Predictive End-to-End Enterprise Process Network Monitoring. Bus. Inf. Syst. Eng. 65(1): 49-64 (2023)- [j6]Toni Greif
, Nikolai Stein, Christoph M. Flath:
Information Value Analysis for Real-Time Silo Fill-Level Monitoring. INFORMS J. Appl. Anal. 53(4): 283-294 (2023) - [j5]Christina Stahl, Nikolai Stein, Christoph M. Flath:
Analytics Applications in Fashion Supply Chain Management - A Review of Literature and Practice. IEEE Trans. Engineering Management 70(4): 1258-1282 (2023) - [c17]Nico Elbert, Emil Paskovski, Nikolai Stein, Christoph M. Flath:
The Layers of Change: Multilevel Adaptations to Exogenous Game Patches in CS:GO. CoG 2023: 1-4 - [c16]Nico Elbert, Nikolai Stein, Christoph M. Flath:
Process and Strategy Mining in Real-Time Strategy Games. Wirtschaftsinformatik 2023: 98 - 2022
- [c15]Janine Rottmann, Nikolai Stein:
Leveraging Electronic Health Records to improve Patient Appointment Scheduling: A design-oriented Approach. ICIS 2022 - 2021
- [j4]Felix Oberdorf, Nikolai Stein, Christoph M. Flath:
Analytics-enabled escalation management: System development and business value assessment. Comput. Ind. 131: 103481 (2021) - [j3]Andreas Philippi, Simone Buttler, Nikolai Stein:
ddop: A python package for data-driven operations management. J. Open Source Softw. 6(66): 3429 (2021) - [c14]Felix Oberdorf, Myriam Schaschek, Nikolai Stein, Christoph Flath:
Neural Process Mining: Multi-Headed Predictive Process Analytics in Practice. ECIS 2021 - [c13]Felix Oberdorf, Peter Wolf, Myriam Schaschek, Nikolai Stein:
Strategic Decision Support System for Fleet Investments in the Vaccine Supply Chain. ICIS 2021 - [i1]Matthias Griebel, Dennis Segebarth, Nikolai Stein, Nina Schukraft, Philip Tovote, Robert Blum, Christoph M. Flath:
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2. CoRR abs/2111.06693 (2021) - 2020
- [j2]Toni Greif, Nikolai Stein, Christoph M. Flath:
Peeking into the void: Digital twins for construction site logistics. Comput. Ind. 121: 103264 (2020) - [c12]Franz Seubert, Nikolai Stein, Fabian Taigel, Axel Winkelmann:
Making the Newsvendor Smart - Order Quantity Optimization with ANNs for a Bakery Chain. AMCIS 2020 - [c11]Nikolai Stein, Felix Oberdorf, Jonas Pirner:
Convolutional Neural Networks for Survey Response Classification. AMCIS 2020 - [c10]Toni Greif, Nikolai Stein, Christoph Flath:
Support Your Local: IS-Based Collaborative Delivery Service for Urban Communities. ICIS 2020 - [c9]Felix Oberdorf, Nikolai Stein, Christoph Flath:
Data-Driven Cycling Policy Guidance using GIS. ICIS 2020 - [c8]Felix Oberdorf, Nikolai Stein, Nicolas Walk, Matthias Griebel, Christoph Flath:
ADR for Big-Data IT Artifact Development: An Escalation Management Example. ICIS 2020
2010 – 2019
- 2019
- [c7]Adrian Krenzer, Nikolai Stein, Matthias Griebel, Christoph Flath:
Augmented Intelligence for Quality Control of Manual Assembly Processes using Industrial Wearable Systems. ICIS 2019 - [c6]Nikolai Stein, Benedikt Walter, Christoph Flath:
Towards Open Production: Designing a marketplace for 3D-printing capacities. ICIS 2019 - [c5]Matthias Griebel, Alexander Dürr, Nikolai Stein:
Applied image recognition: guidelines for using deep learning models in practice. Wirtschaftsinformatik 2019: 393-406 - 2018
- [j1]Christoph M. Flath, Nikolai Stein:
Towards a data science toolbox for industrial analytics applications. Comput. Ind. 94: 16-25 (2018) - [c4]Nikolai Stein, Christoph Flath, Carsten Boehm:
Predictive Analytics for Application Management Services. ECIS 2018: 186 - 2017
- [c3]Nikolai Stein, Christoph Flath:
Applying Data Science for shop-Floor Performance Prediction. ECIS 2017: 34 - 2016
- [c2]Nikolai Stein, Christoph Flath:
Decision Support for Group-based Electricity Prices in Smart Grids. AMCIS 2016 - [c1]Niklas Rappel, Nikolai Stein, Christoph M. Flath:
Dynamic Intrusion Detection in Database Systems: A Machine-Learning Approach. ICIS 2016
Coauthor Index
aka: Christoph Flath
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