Using UML 2.0 Collaborations for Compositional Service Specification. - Richard Torbjørn Sanders; Humberto Nicolás Castejón Martínez; Frank Alexander Kraemer; Rolv Bræk (MoDELS, 2005)

Service Specification by Composition of Collaborations–An Example. - Frank Alexander Kraemer; Peter Herrmann (IAT Workshops, 2006)

Aligning UML 2.0 State Machines and Temporal Logic for the Efficient Execution of Services. - Frank Alexander Kraemer; Peter Herrmann; Rolv Bræk (OTM Conferences (2), 2006)

Design of Trusted Systems with Reusable Collaboration Models. - Peter Herrmann; Frank Alexander Kraemer (IFIPTM, 2007)

Synthesizing Components with Sessions from Collaboration-Oriented Service Specifications. - Frank Alexander Kraemer; Rolv Bræk; Peter Herrmann (SDL Forum, 2007)

Transforming Collaborative Service Specifications into Efficiently Executable State Machines. - Frank Alexander Kraemer; Peter Herrmann (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2007)

Towards the Integration of Security Aspects into System Development Using Collaboration-Oriented Models. - Linda Ariani Gunawan; Peter Herrmann; Frank Alexander Kraemer (FGIT-SecTech, 2009)

An Automated Method for Web Service Orchestration Based on Reusable Building Blocks. - Frank Alexander Kraemer; Haldor Samset; Rolv Bræk (ICWS, 2009)

Automated Encapsulation of UML Activities for Incremental Development and Verification. - Frank Alexander Kraemer; Peter Herrmann (MoDELS, 2009)

Automatic Generation of Compatible Interfaces from Partitioned UML Activities. - Frank Alexander Kraemer (SDL Forum, 2009)

Model-Driven Construction of Embedded Applications Based on Reusable Building Blocks - An Example. - Frank Alexander Kraemer; Vidar Slåtten; Peter Herrmann (SDL Forum, 2009)

Tool support for the rapid composition, analysis and implementation of reactive services. - Frank Alexander Kraemer; Vidar Slåtten; Peter Herrmann (J. Syst. Softw., 2009)

Reactive Semantics for Distributed UML Activities. - Frank Alexander Kraemer; Peter Herrmann (FMOODS/FORTE, 2010)

Towards a model-driven method for reliable applications: from ideal to realistic transmission semantics. - Vidar Slåtten; Frank Alexander Kraemer; Peter Herrmann (SERENE, 2010)

A Tool-Supported Method for the Design and Implementation of Secure Distributed Applications. - Linda Ariani Gunawan; Frank Alexander Kraemer; Peter Herrmann (ESSoS, 2011)

Towards automatic generation of formal specifications to validate and verify reliable distributed systems: a method exemplified by an industrial case study. - Vidar Slåtten; Frank Alexander Kraemer; Peter Herrmann (GPCE, 2011)

Engineering Android Applications Based on UML Activities. - Frank Alexander Kraemer (MoDELS, 2011)

Unified Modeling of Service Logic with User Interfaces. - Frank Alexander Kraemer; Surya Bahadur Kathayat; Rolv Bræk (Int. J. Cooperative Inf. Syst., 2011)

Modeling a distributed intrusion detection system using collaborative building blocks. - Linda Ariani Gunawan; Michael Vogel; Frank Alexander Kraemer; Sebastian Schmerl; Vidar Slåtten; Peter Herrmann; Hartmut König (ACM SIGSOFT Softw. Eng. Notes, 2011)

Behavioral Singletons to Consistently Handle Global States of Security Patterns. - Linda Ariani Gunawan; Frank Alexander Kraemer; Peter Herrmann (DAIS, 2012)

Model-Driven Engineering of Reliable Fault-Tolerant Systems - A State-of-the-Art Survey. - Vidar Slåtten; Peter Herrmann; Frank Alexander Kraemer (Adv. Comput., 2013)

Creating Internet of Things Applications from Building Blocks. - Frank Alexander Kraemer; Peter Herrmann (ERCIM News, 2015)

A Measurement-Driven Approach to Understand Urban Greenhouse Gas Emissions in Nordic Cities. - Dirk Ahlers; Patrick Driscoll; Frank Alexander Kraemer; Fredrik Anthonisen; John Krogstie (NIK, 2016)

Towards cognitive device management: a testbed to explore autonomy for constrained IoT devices. - Anders Eivind Braten; Nattachart Tamkittikhun; Frank Alexander Kraemer; Doreid Ammar (IOT, 2017)

Solar energy prediction for constrained IoT nodes based on public weather forecasts. - Frank Alexander Kraemer; Doreid Ammar; Anders Eivind Braten; Nattachart Tamkittikhun; David Palma 001 (IOT, 2017)

Energy Consumption Estimation for Energy-Aware, Adaptive Sensing Applications. - Nattachart Tamkittikhun; Amen Hussain; Frank Alexander Kraemer (MSPN, 2017)

Fog Computing in Healthcare-A Review and Discussion. - Frank Alexander Kraemer; Anders Eivind Braten; Nattachart Tamkittikhun; David Palma 001 (IEEE Access, 2017)

Machine Learning in IoT for Autonomous, Adaptive Sensing. - Frank Alexander Kraemer; Nattachart Tamkittikhun; Anders Eivind Braten (ERCIM News, 2017)

Analysis and Visualization of Urban Emission Measurements in Smart Cities. - Dirk Ahlers; Frank Alexander Kraemer; Anders Eivind Braten; Xiufeng Liu; Fredrik Anthonisen; Patrick Driscoll; John Krogstie (EDBT, 2018)

Machine Learning-Based Occupancy Estimation Using Multivariate Sensor Nodes. - Adarsh Pal Singh; Vivek Jain; Sachin Chaudhari; Frank Alexander Kraemer; Stefan Werner 001; Vishal Garg (GLOBECOM Workshops, 2018)

Towards Cognitive IoT: Autonomous Prediction Model Selection for Solar-Powered Nodes. - Anders Eivind Braten; Frank Alexander Kraemer (ICIOT, 2018)

Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes. - Victor Wattin Håkansson; Naveen K. D. Venkategowda; Frank Alexander Kraemer; Stefan Werner 001 (EUSIPCO, 2019)

Energy-Accuracy Tradeoff for Efficient Noise Monitoring and Prediction in Working Environments. - Frank Alexander Kraemer; Faiga Alawad; Ida Marie Vestgøte Bosch (IOT, 2019)

IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. - Abdulmajid Murad; Kerstin Bach; Frank Alexander Kraemer; Gavin Taylor (IOT, 2019)

Adaptive, Correlation-Based Training Data Selection for IoT Device Management. - Anders Eivind Braten; Frank Alexander Kraemer; David Palma 001 (IoTSMS, 2019)

Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. - Abdulmajid Murad; Frank Alexander Kraemer; Kerstin Bach; Gavin Taylor (SASO, 2019)

Information-driven adaptive sensing based on deep reinforcement learning. - Abdulmajid Murad; Frank Alexander Kraemer; Kerstin Bach; Gavin Taylor (IOT, 2020)

Exploring the computational cost of machine learning at the edge for human-centric Internet of Things. - Oihane Gómez-Carmona; Diego Casado-Mansilla; Frank Alexander Kraemer; Diego López-de-Ipiña; Javier García-Zubía (Future Gener. Comput. Syst., 2020)

Operationalizing Solar Energy Predictions for Sustainable, Autonomous IoT Device Management. - Frank Alexander Kraemer; David Palma 001; Anders Eivind Braten; Doreid Ammar (IEEE Internet Things J., 2020)

Autonomous IoT Device Management Systems: Structured Review and Generalized Cognitive Model. - Anders Eivind Braten; Frank Alexander Kraemer; David Palma 001 (IEEE Internet Things J., 2021)

Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. - Abdulmajid Murad; Frank Alexander Kraemer; Kerstin Bach; Gavin Taylor (Sensors, 2021)

An Analysis of Design Parameters for Energy Management of Wireless Sensor Devices. - Asbjørn Engmark Espe; Sondre Ninive Andersen; Pierluigi Salvo Rossi; Frank Alexander Kraemer; Geir Mathisen (ICIT, 2022)

Learning attention models for resource-constrained, self-adaptive visual sensing applications. - Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach; Christian Renner; Tiago Santos Veiga (RACS, 2022)

Container-Based IoT Architectures: Use Case for Visual Person Counting. - Tiago Veiga; Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach (NAIS, 2023)

Poster Abstract: Towards Autonomous Utility-Aware Energy Management for Energy Harvesting Devices. - Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach; Christian Renner (SenSys, 2023)

Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy. - Frank Alexander Kraemer; Hafiz Areeb Asad; Kerstin Bach; Bernd-Christian Renner (IEEE Access, 2023)

Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications. - Tiago Veiga; Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach (Future Gener. Comput. Syst., 2023)

UtiliGEM: Energy Management Guided by Learned Application Utility. - Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach; Bernd-Christian Renner (IoT, 2024)

Uncertainty-aware autonomous sensing with deep reinforcement learning. - Abdulmajid Murad; Frank Alexander Kraemer; Kerstin Bach; Gavin Taylor (Future Gener. Comput. Syst., 2024)

EStacker: Explaining Battery-Less IoT System Performance with Energy Stacks. - Lukas Liedtke; Per Gunnar Kjeldsberg; Frank Alexander Kraemer; Magnus Jahre (CoRR, 2025)