Matthias Pohl

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 43

Top Topics

Polynomial Approximation

Test Driven Development

Image Transformations

Top Venues

Publications

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)
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)
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)
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)
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)
Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
Data Valuation Methods - A Literature Review. AMCIS (2023)
Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski
MLOps in Data Science Projects: A Review. BigData (2023)
Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
A Survey of Technology Selection Approaches in Data Science Projects. AMCIS (2023)
Matthias Pohl, Christian Haertel, Klaus Turowski
Value Creation from Data Science Applications - A Literature Review. BIR (2023)
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)
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)
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)
Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
The Linkage to Business Goals in Data Science Projects. ACIS (2023)
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)
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 (2022)
Matthias Pohl, Daniel Gunnar Staegemann, Klaus Turowski
The Performance Benefit of Data Analytics Applications. ANT/EDI40 (2022)
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)
Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. Big Data (2022)
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)
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) (2021)
Andrey Kharitonov, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Comparative analysis of machine learning models for anomaly detection in manufacturing. ISM (2021)
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)
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)
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)
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)
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)
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)
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)
Matthias Pohl, René Degenkolbe, Daniel Staegemann, Klaus Turowski
Towards a Blockchain Technology Framework - Literature Review on components in blockchain implementations. ACIS (2020)
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)
Philipp Stecher, Matthias Pohl, Klaus Turowski
Enterprise architecture's effects on organizations' ability to adopt artificial intelligence - A Resource-based perspective. ECIS (2020)
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) (2020)
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)
Matthias Volk, Daniel Staegemann, Matthias Pohl, Klaus Turowski
Challenging Big Data Engineering: Positioning of Current and Future Development. IoTBDS (2019)
Matthias Pohl, Abdulrahman Nahhas, Sascha Bosse, Klaus Turowski
Proof of Provision: Improving Blockchain Technology by Cloud Computing. CLOSER (2019)
Sascha Bosse, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Towards an Automated Optimization-as-a-Service Concept. IoTBDS (2019)
Matthias Pohl, Janick Kubela, Sascha Bosse, Klaus Turowski
Performance Evaluation of Application Layer Protocols for the Internet-of-Things. ES (2018)
Janick Kubela, Matthias Pohl, Sascha Bosse, Klaus Turowski
Internet of Things Middleware: How Suitable are Service-oriented Architecture and Resource-oriented Architecture. IoTBDS (2018)
Matthias Pohl, Sascha Bosse, Klaus Turowski
A Data-Science-as-a-Service Model. CLOSER (2018)
Matthias Volk, Matthias Pohl, Klaus Turowski
Classifying Big Data Technologies - An Ontology-based Approach. AMCIS (2018)
Hendrik Müller, Sascha Bosse, Matthias Pohl, Klaus Turowski
Capacity Planning as a Service for Enterprise Standard Software. CBI (1) (2017)
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)
Ateeq Khan, Matthias Pohl, Veit Köppen, Gunter Saake, Klaus Turowski
An Evaluation of Variability Mechanisms to Manage Cloud Services. ICE-B (2017)
Matthias Pohl, Michael Schaeferling, Gundolf Kiefer
An efficient FPGA-based hardware framework for natural feature extraction and related Computer Vision tasks. FPL (2014)
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) (2014)
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)
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)