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ORCIDMatthias Pohl
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2020 – today
- 2024
[c43]Christian Haertel, Vincent Donat, Daniel Staegemann, Matthias Pohl, Klaus Turowski:
Challenges in Data Science Project Management: A Case Study in a European OEM. AMCIS 2024- [c42]Matthias Pohl, Hannah Giegold, Christian Haertel, Daniel Staegemann, Klaus Turowski:
Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review. BIOSTEC (2) 2024: 803-811 - [c41]Christian Haertel, Sarah Schramm, Matthias Pohl, Sascha Bosse, Daniel Staegemann, Christian Daase, Klaus Turowski:
A Methodology for Constructing Patterns for the Management of Data Science Projects. ICEIS (1) 2024: 354-365 - 2023
- [c40]Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski:
The Linkage to Business Goals in Data Science Projects. ACIS 2023 - [c39]Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski:
A Survey of Technology Selection Approaches in Data Science Projects. AMCIS 2023 - [c38]Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski:
Data Valuation Methods - A Literature Review. AMCIS 2023 - [c37]Daniel Staegemann, Matthias Volk, Matthias Pohl, Christian Haertel, Naoum Jamous, Klaus Turowski:
Achieving Competitive Advantages Through Situation-Aware Big Data Engineering - When (Not) to Use Test Driven Development. AMCIS 2023 - [c36]Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski:
MLOps in Data Science Projects: A Review. IEEE Big Data 2023: 2396-2404 - [c35]Matthias Pohl
, Christian Haertel, Klaus Turowski:
Value Creation from Data Science Applications - A Literature Review. BIR 2023: 327-338 - [c34]Christian Haertel, Christian Daase, Daniel Staegemann, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski:
Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators. KMIS 2023: 294-302 - [c33]Matthias Pohl, René Degenkolbe, Daniel Gunnar Staegemann, Klaus Turowski:
Decentralised Autonomous Management of an Association Through Smart Contracts According to German Legislation. ICEIS (1) 2023: 212-218 - [c32]Daniel Staegemann, Christian Haertel, Christian Daase, Matthias Pohl, Klaus Turowski:
A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators. ICINCO (1) 2023: 335-341 - [c31]Daniel Staegemann, Natalie Schröder, Christian Daase, Christian Haertel, Matthias Pohl, Robert Häusler, Johannes Hintsch, Klaus Turowski:
Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development. ISD 2023 - [c30]Daniel Staegemann, Matthias Pohl, Christian Haertel, Christian Daase, Mohammad Abdallah, Klaus Turowski:
An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications. SITIS 2023: 30-37 - 2022
- [j4]Daniel Staegemann, Matthias Volk, Maneendra Perera, Christian Haertel, Matthias Pohl, Christian Daase, Klaus Turowski:
A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering. Complex Syst. Informatics Model. Q. 31: 18-28 (2022) - [c29]Matthias Pohl, Daniel Gunnar Staegemann, Klaus Turowski:
The Performance Benefit of Data Analytics Applications. ANT/EDI40 2022: 679-683 - [c28]Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski:
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. IEEE Big Data 2022: 2645-2654 - [c27]Sven Timmermann, Daniel Staegemann, Matthias Volk, Matthias Pohl, Christian Haertel, Johannes Hintsch, Klaus Turowski:
Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review. FEMIB 2022: 22-34 - [c26]Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski:
Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models. PACIS 2022: 242 - 2021
- [j3]Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski:
Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures. Int. J. Organ. Collect. Intell. 11(4): 35-54 (2021) - [c25]Daniel Staegemann, Matthias Volk, Erik Lautenschläger, Matthias Pohl, Mohammad Abdallah, Klaus Turowski:
Applying Test Driven Development in the Big Data Domain - Lessons From the Literature. ICIT 2021: 511-516 - [c24]Daniel Staegemann, Matthias Volk, Christian Daase, Matthias Pohl, Klaus Turowski:
A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations. ICICT (2) 2021: 281-289 - [c23]Daniel Staegemann, Matthias Volk, Akanksha Saxena, Matthias Pohl, Abdulrahman Nahhas, Robert Häusler, Mohammad Abdallah, Sascha Bosse, Naoum Jamous, Klaus Turowski:
Challenges in Data Acquisition and Management in Big Data Environments. IoTBDS 2021: 193-204 - [c22]Daniel Staegemann, Matthias Volk, Matthias Pohl, Robert Häusler, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski:
A Preliminary Overview of the Situation in Big Data Testing. IoTBDS 2021: 296-302 - [c21]Andrey Kharitonov, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski:
Comparative analysis of machine learning models for anomaly detection in manufacturing. ISM 2021: 1288-1297 - 2020
- [j2]Matthias Volk, Daniel Staegemann, Naoum Jamous, Matthias Pohl, Klaus Turowski:
Providing Clarity on Big Data Technologies: The BDTOnto Ontology. Int. J. Intell. Inf. Technol. 16(2): 49-73 (2020) - [c20]Matthias Pohl, René Degenkolbe, Daniel Staegemann, Klaus Turowski:
Towards a Blockchain Technology Framework - Literature Review on components in blockchain implementations. ACIS 2020: 48 - [c19]Philipp Stecher, Matthias Pohl, Klaus Turowski:
Enterprise architecture's effects on organizations' ability to adopt artificial intelligence - A Resource-based perspective. ECIS 2020 - [c18]Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski:
Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models. FEMIB 2020: 80-90 - [c17]Matthias Pohl, Ali Hashaam, Sascha Bosse, Daniel Gunnar Staegemann, Matthias Volk, Frederik Kramer, Klaus Turowski:
Application of NLP to determine the State of Issues in Bug Tracking Systems. ICDM (Workshops) 2020: 53-61 - [c16]Daniel Staegemann, Matthias Volk, Alexandra Grube, Johannes Hintsch, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski:
Classifying Big Data Taxonomies: A Systematic Literature Review. IoTBDS 2020: 267-278 - [c15]Daniel Staegemann, Matthias Volk, Tuan Vu, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski:
Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis. IoTBDS 2020: 453-460
2010 – 2019
- 2019
- [c14]Abdulrahman Nahhas, Sascha Bosse, Matthias Pohl, Klaus Turowski:
Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers. CLOSER 2019: 471-478 - [c13]Matthias Pohl, Abdulrahman Nahhas, Sascha Bosse, Klaus Turowski:
Proof of Provision: Improving Blockchain Technology by Cloud Computing. CLOSER 2019: 523-527 - [c12]Sascha Bosse, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski:
Towards an Automated Optimization-as-a-Service Concept. IoTBDS 2019: 339-343 - [c11]Matthias Volk, Daniel Staegemann, Matthias Pohl, Klaus Turowski:
Challenging Big Data Engineering: Positioning of Current and Future Development. IoTBDS 2019: 351-358 - 2018
- [c10]Matthias Volk, Matthias Pohl, Klaus Turowski:
Classifying Big Data Technologies - An Ontology-based Approach. AMCIS 2018 - [c9]Matthias Pohl, Sascha Bosse, Klaus Turowski:
A Data-Science-as-a-Service Model. CLOSER 2018: 432-439 - [c8]Matthias Pohl, Janick Kubela, Sascha Bosse, Klaus Turowski:
Performance Evaluation of Application Layer Protocols for the Internet-of-Things. ES 2018: 180-187 - [c7]Janick Kubela, Matthias Pohl, Sascha Bosse, Klaus Turowski:
Internet of Things Middleware: How Suitable are Service-oriented Architecture and Resource-oriented Architecture. IoTBDS 2018: 229-236 - 2017
- [c6]Ateeq Khan, Matthias Pohl, Veit Köppen, Gunter Saake, Klaus Turowski:
An Evaluation of Variability Mechanisms to Manage Cloud Services. ICE-B 2017: 100-107 - [c5]Ateeq Khan, Matthias Pohl, Sascha Bosse, Stefan Willi Hart, Klaus Turowski:
A Holistic View of the IoT Process from Sensors to the Business Value. IoTBDS 2017: 392-399 - [c4]Hendrik Müller, Sascha Bosse, Matthias Pohl, Klaus Turowski:
Capacity Planning as a Service for Enterprise Standard Software. CBI (1) 2017: 167-175 - 2014
- [j1]Matthias Pohl, Michael Schaeferling, Gundolf Kiefer, Plamen Petrow, Egmont Woitzel, Frank Papenfuß:
Leveraging polynomial approximation for non-linear image transformations in real time. Comput. Electr. Eng. 40(4): 1146-1157 (2014) - [c3]Matthias Pohl, Michael Schaeferling, Gundolf Kiefer:
An efficient FPGA-based hardware framework for natural feature extraction and related Computer Vision tasks. FPL 2014: 1-8 - 2012
- [c2]Matthias Pohl, Michael Schaeferling, Gundolf Kiefer, Plamen Petrow, Egmont Woitzel, Frank Papenfuss:
An efficient and scalable architecture for real-time distortion removal and rectification of live camera images. ReConFig 2012: 1-7 - 2010
- [c1]Christoph Böhm, Felix Naumann, Ziawasch Abedjan, Dandy Fenz, Toni Grütze, Daniel Hefenbrock, Matthias Pohl, David Sonnabend:
Profiling linked open data with ProLOD. ICDE Workshops 2010: 175-178
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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