Tobias Meisen

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 97

Top Venues

CoRR

ICEIS (1)

ICEIS (Revised Selected Papers)

ICSC

Publications

Mario Angos-Mediavilla, Michael Gorenzweig, Gerome Pahnke, André Pomp, Matthias Freund, Tobias Meisen
Advancing Industry 4.0: Integrating Data Governance into Asset Administration Shell for Enhanced Interoperability. ICEIS (1) (2024)
Tristan Langer, Richard Meyes, Tobias Meisen
Guided Exploration of Industrial Sensor Data. Comput. Graph. Forum 43 (1) (2024)
Felix Stillger, Frederik Hasecke, Tobias Meisen
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation. CoRR (2024)
Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen
It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation. J. Theor. Appl. Electron. Commer. Res. 19 (1) (2024)
Sayed Hoseini, Andreas Burgdorf, Alexander Paulus, Tobias Meisen, Christoph Quix, André Pomp
Towards LLM-augmented Creation of Semantic Models for Dataspaces. SDS@ESWC (2024)
Constantin Waubert de Puiseau, Christian Dörpelkus, Jannik Peters, Hasan Tercan, Tobias Meisen
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling. CoRR (2024)
Marianna Jantunen, Richard Meyes, Veronika Kurchyna, Tobias Meisen, Pekka Abrahamsson, Rahul Mohanani
Researchers' Concerns on Artificial Intelligence Ethics: Results from a Scenario-Based Survey. IWSiB@ICSE (2024)
Basile Tousside, Jörg Frochte, Tobias Meisen
CNNs Sparsification and Expansion for Continual Learning. ICAART (2) (2024)
Miguel Alves Gomes, Tobias Meisen
A review on customer segmentation methods for personalized customer targeting in e-commerce use cases. Inf. Syst. E Bus. Manag. 21 (3) (2023)
Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus, Tobias Meisen
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments. CoRR (2023)
Constantin Waubert de Puiseau, Hasan Tercan, Tobias Meisen
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning. CoRR (2023)
Maike Jansen, Tobias Meisen, Christiane Plociennik, Holger Berg, André Pomp, Waldemar Windholz
Stop Guessing in the Dark: Identified Requirements for Digital Product Passport Systems. Syst. 11 (3) (2023)
Yannik Hahn, Robert F. Maack, Guido Buchholz, Marion Purrio, Matthias Angerhausen, Hasan Tercan, Tobias Meisen
Towards a Deep Learning-based Online Quality Prediction System for Welding Processes. CoRR (2023)
Alexander Paulus, Andreas Burgdorf, Tobias Meisen, André Pomp
Extending PLASMA for Industrial Semantic Modeling. SemIIM (2023)
Miguel Alves Gomes, Mark Wönkhaus, Philipp Meisen, Tobias Meisen
TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior. J. Theor. Appl. Electron. Commer. Res. 18 (3) (2023)
Alexander Paulus, Andreas Burgdorf, André Pomp, Tobias Meisen
Filtering Recommender System for Semantic Model Refinement. ICSC (2023)
Simon Hadwiger, Vladimir Lavrik, Li Xin Liao, Tobias Meisen
Simulation-to-Reality Transfer of a Two-Stage Deep Reinforcement Learning Controller for Autonomous Load Carrier Approaching. ICARSC (2023)
Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus, Hasan Tercan, Tobias Meisen
: A Python framework for deep reinforcement learning based scheduling experiments. SoftwareX 22 (2023)
André Pomp, Maike Jansen, Holger Berg, Tobias Meisen
SPACE_DS: Towards a Circular Economy Data Space. WWW (Companion Volume) (2023)
Hasan Tercan, Tobias Meisen
Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning. KDD (2023)
Tristan Langer, André Pomp, Tobias Meisen
Towards a Data Space for Interoperability of Analytic Provenance. WWW (Companion Volume) (2023)
Alexander Paulus, André Pomp, Tobias Meisen
The PLASMA Framework: Laying the Path to Domain-Specific Semantics in Dataspaces. WWW (Companion Volume) (2023)
Alexander Paulus, Andreas Burgdorf, Alina Stephan, André Pomp, Tobias Meisen
Using Node Embeddings to Generate Recommendations for Semantic Model Creation. ICEIS (1) (2022)
Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen
Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings. CIKM (2022)
Vladimir Samsonov, Karim Ben Hicham, Tobias Meisen
Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward. Eng. Appl. Artif. Intell. 112 (2022)
Simon Hadwiger, Tobias Meisen
Autonomous Load Carrier Approaching Based on Deep Reinforcement Learning with Compressed Visual Information. AI4I (2022)
Oliver Böhme, Tobias Meisen
Predicting the Progress of Vehicle Development Projects using an Attention-based Encoder-Decoder Model. ICCTA (2022)
Andreas Burgdorf, Alexander Paulus, André Pomp, Tobias Meisen
DocSemMap 2.0: Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner. CIKM (2022)
Hasan Tercan, Philipp Deibert, Tobias Meisen
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer. J. Intell. Manuf. 33 (1) (2022)
Robert F. Maack, Hasan Tercan, Tobias Meisen
Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows. INDIN (2022)
Tristan Langer, Richard Meyes, Tobias Meisen
Gideon Replay: A library to replay interactions in web-applications. SoftwareX 17 (2022)
Christian Bitter, Timo Thun, Tobias Meisen
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments. CoRR (2022)
André Pomp, Andreas Burgdorf, Alexander Paulus, Tobias Meisen
Towards Unlocking the Potential of the Internet of Things for the Skilled Crafts. ICEIS (1) (2022)
André Pomp, Andreas Burgdorf, Alexander Paulus, Tobias Meisen
Using IoT Technology for the Skilled Crafts. ICEIS (Revised Selected Papers) (2022)
Yannik Steiniger, Dieter Kraus, Tobias Meisen
Survey on deep learning based computer vision for sonar imagery. Eng. Appl. Artif. Intell. 114 (2022)
Constantin Waubert de Puiseau, Richard Meyes, Tobias Meisen
On reliability of reinforcement learning based production scheduling systems: a comparative survey. J. Intell. Manuf. 33 (4) (2022)
Alexander Paulus, Andreas Burgdorf, Tristan Langer, André Pomp, Tobias Meisen, Sebastian Pol
PLASMA: A Semantic Modeling Tool for Domain Experts. CIKM (2022)
Andreas Burgdorf, Alexander Paulus, André Pomp, Tobias Meisen
VC-SLAM - A Handcrafted Data Corpus for the Construction of Semantic Models. Data 7 (2) (2022)
Tristan Langer, Viktor Welbers, Yannik Hahn, Mark Wönkhaus, Richard Meyes, Tobias Meisen
Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data. ICEIS (Revised Selected Papers) (2022)
Andreas Burgdorf, Alexander Paulus, André Pomp, Tobias Meisen
DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs. ICSC (2022)
Andreas Burgdorf, Micaela Barkmann, André Pomp, Tobias Meisen
Domain-independent Data-to-Text Generation for Open Data. DATA (2022)
Tristan Langer, Viktor Welbers, Tobias Meisen
Gideon-TS: Efficient Exploration and Labeling of Multivariate Industrial Sensor Data. ICEIS (1) (2022)
Hasan Tercan, Tobias Meisen
Machine learning and deep learning based predictive quality in manufacturing: a systematic review. J. Intell. Manuf. 33 (7) (2022)
Hasan Tercan, Christian Bitter, Todd Bodnar, Philipp Meisen, Tobias Meisen
Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application. ICEIS (1) (2021)
Alexander Paulus, Andreas Burgdorf, André Pomp, Tobias Meisen
Recent Advances and Future Challenges of Semantic Modeling. ICSC (2021)
André Pomp, Alexander Paulus, Andreas Burgdorf, Tobias Meisen
A Semantic Data Marketplace for Easy Data Sharing within a Smart City. CIKM (2021)
Oliver Böhme, Tobias Meisen
Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features. ICAART (2) (2021)
Tristan Langer, Tobias Meisen
Visual Analytics for Industrial Sensor Data Analysis. ICEIS (1) (2021)
Friedrich von Bülow, Felix Heinrich, Tobias Meisen
Fleet Management Approach for Manufacturers displayed at the Use Case of Battery Electric Vehicles. SMC (2021)
Christian Bitter, Hasan Tercan, Tobias Meisen, Todd Bodnar, Philipp Meisen
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails. AI4I (2021)
Miguel Alves Gomes, Hasan Tercan, Todd Bodnar, Philipp Meisen, Tobias Meisen
A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter. HPCC/DSS/SmartCity/DependSys (2021)
Sebastian Pol, Schirin Baer, Danielle Turner, Vladimir Samsonov, Tobias Meisen
Global Reward Design for Cooperative Agents to Achieve Flexible Production Control under Real-time Constraints. ICEIS (1) (2021)
Tristan Langer, Tobias Meisen
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis. Inf. 12 (4) (2021)
Robert F. Maack, Hasan Tercan, Alexia Fenollar Solvay, Maximilian Mieth, Tobias Meisen
Fault Detection in Railway Switches using Deformable Convolutional Neural Networks. INDIN (2021)
Oliver Böhme, Tobias Meisen
Applied Feature-oriented Project Life Cycle Classification. DATA (2021)
Vladimir Samsonov, Marco Kemmerling, Maren Paegert, Daniel Lütticke, Frederick Sauermann, Andreas Gützlaff, Günther Schuh, Tobias Meisen
Manufacturing Control in Job Shop Environments with Reinforcement Learning. ICAART (2) (2021)
Alexander Paulus, Andreas Burgdorf, Lars Puleikis, Tristan Langer, André Pomp, Tobias Meisen
PLASMA: Platform for Auxiliary Semantic Modeling Approaches. ICEIS (2) (2021)
Andreas Burgdorf, André Pomp, Tobias Meisen
Towards NLP-supported Semantic Data Management. CoRR (2020)
Richard Meyes, Constantin Waubert de Puiseau, Andres Posada-Moreno, Tobias Meisen
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations. CoRR (2020)
Aymen Gannouni, Vladimir Samsonov, Mohamed Behery, Tobias Meisen, Gerhard Lakemeyer
Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste. SMC (2020)
Richard Meyes, Moritz Schneider, Tobias Meisen
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents. CoRR (2020)
Schirin Baer, Jupiter Bakakeu, Richard Meyes, Tobias Meisen
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems. AI4I (2019)
Hasan Tercan, Alexandro Guajardo, Tobias Meisen
Industrial Transfer Learning: Boosting Machine Learning in Production. INDIN (2019)
Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. CoRR (2019)
Richard Meyes, Melanie Lu, Constantin Waubert de Puiseau, Tobias Meisen
Ablation Studies in Artificial Neural Networks. CoRR (2019)
Andreas Kirmse, Vadim Kraus, Tristan Langer, André Pomp, Tobias Meisen
How To RAMI 4.0: Towards An Agent-based Information Management Architecture. HPCS (2019)
André Pomp, Lucian Poth, Vadim Kraus, Tobias Meisen
Enhancing Knowledge Graphs with Data Representatives. ICEIS (1) (2019)
Vladimir Samsonov, Johannes Lipp, Philipp Noodt, Alexia Fenollar Solvay, Tobias Meisen
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing. SSCI (2019)
Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker
Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces. Int. J. Artif. Intell. Tools 28 (6) (2019)
André Pomp, Johannes Lipp, Tobias Meisen
You are Missing a Concept! Enhancing Ontology-Based Data Access with Evolving Ontologies. ICSC (2019)
Tristan Langer, Tobias Meisen
Towards Utilizing Domain Expertise for Exploratory Data Analysis. VINCI (2019)
Jan Pennekamp, René Glebke, Martin Henze, Tobias Meisen, Christoph Quix, Rihan Hai, Lars Christoph Gleim, Philipp Niemietz, Maximilian Rudack, Simon Knape, Alexander Epple, Daniel Trauth, Uwe Vroomen, Thomas Bergs, Christian Brecher, Andreas Bührig-Polaczek, Matthias Jarke, Klaus Wehrle
Towards an Infrastructure Enabling the Internet of Production. ICPS (2019)
André Pomp, Vadim Kraus, Lucian Poth, Tobias Meisen
Semantic Concept Recommendation for Continuously Evolving Knowledge Graphs. ICEIS (Revised Selected Papers) (2019)
Christian Wolf, Andreas Kirmse, Maximilian Burkhalter, Max Hoffmann, Tobias Meisen
Model to assess the Economic Profitability of Predictive Maintenance Projects. HPCS (2019)
Robert Jungnickel, André Pomp, Andreas Kirmse, Xiang Li, Vladimir Samsonov, Tobias Meisen
Evaluation and Comparison of Cross-lingual Text Processing Pipelines. SSCI (2019)
Marc Haßler, Andreas Burgdorf, Christian Kohlschein, Tobias Meisen
Similarity Recognition of Interval-Based Sleep Data. HealthCom (2018)
Peter Lillian, Richard Meyes, Tobias Meisen
Ablation of a Robot's Brain: Neural Networks Under a Knife. CoRR (2018)
Marc Haßler, André Pomp, Christian Kohlschein, Tobias Meisen
STIDes Revisited - Tackling Global Time Shifts and Scaling. IIT (2018)
Christian Kohlschein, Daniel Klischies, Alexander Paulus, Andreas Burgdorf, Tobias Meisen, Markus Kipp
An Extensible Semantic Search Engine for Biomedical Publications. HealthCom (2018)
André Pomp, Alexander Paulus, Daniel Klischies, Christian Schwier, Tobias Meisen
A Web-based UI to Enable Semantic Modeling for Everyone. SEMANTiCS (2018)
Alexander Paulus, André Pomp, Lucian Poth, Johannes Lipp, Tobias Meisen
Recommending Semantic Concepts for Improving the Process of Semantic Modeling. ICEIS (Revised Selected Papers) (2018)
Alexander Paulus, André Pomp, Lucian Poth, Johannes Lipp, Tobias Meisen
Towards Combining Semantic Concepts from Multiple Knowledge Bases. ICSC (2018)
Andreas Kirmse, Vadim Kraus, Max Hoffmann, Tobias Meisen
An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics. ICEIS (1) (2018)
Daniel Lütticke, Tobias Meisen
Design of an Automated Measuring System for RFID Transponders in Complex Environments. RFID-TA (2018)
Alexander Paulus, André Pomp, Lucian Poth, Johannes Lipp, Tobias Meisen
Gathering and Combining Semantic Concepts from Multiple Knowledge Bases. ICEIS (1) (2018)
You Wang, Hasan Tercan, Torsten Hermanns, Thomas Thiele, Tobias Meisen, Sabina Jeschke, Wolfgang Schulz
Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process. J. ICT Stand. 6 (3) (2018)
Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker
Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas. WIMS (2018)
You Wang, Hasan Tercan, Thomas Thiele, Tobias Meisen, Sabina Jeschke, Wolfgang Schulz
Advanced data enrichment and data analysis in manufacturing industry by an example of laser drilling process. Kaleidoscope (2017)
André Pomp, Alexander Paulus, Sabina Jeschke, Tobias Meisen
Enabling Semantics in Enterprises. ICEIS (Revised Selected Papers) (2017)
Daniela Antkowiak, Daniel Lütticke, Tristan Langer, Thomas Thiele, Tobias Meisen, Sabina Jeschke
Cyber-Physical Production Systems: A Teaching Concept in Engineering Education. IIAI-AAI (2017)
Hasan Tercan, Toufik Al Khawli, Urs Eppelt, Christian Büscher, Tobias Meisen, Sabina Jeschke
Improving the laser cutting process design by machine learning techniques. Prod. Eng. 11 (2) (2017)
Max Hoffmann, Tobias Meisen, Sabina Jeschke
OPC UA Based ERP Agents: Enabling Scalable Communication Solutions in Heterogeneous Automation Environments. PAAMS (2017)
André Pomp, Alexander Paulus, Sabina Jeschke, Tobias Meisen
ESKAPE: Platform for Enabling Semantics in the Continuously Evolving Internet of Things. ICSC (2017)
Felix Kuschicke, Thomas Thiele, Tobias Meisen, Sabina Jeschke
A Data-based Method for Industrial Big Data Project Prioritization. BDIOT (2017)
André Pomp, Alexander Paulus, Sabina Jeschke, Tobias Meisen
ESKAPE: Information Platform for Enabling Semantic Data Processing. ICEIS (2) (2017)
Daniela Antkowiak, Christian Kohlschein, Roksaneh Krooß, Maximilian Speicher, Tobias Meisen, Sabina Jeschke, Cornelius J. Werner
Language therapy of aphasia supported by augmented reality applications. HealthCom (2016)
Max Hoffmann, Philipp Thomas, Daniel Schütz, Birgit Vogel-Heuser, Tobias Meisen, Sabina Jeschke
Semantic integration of multi-agent systems using an OPC UA information modeling approach. INDIN (2016)
Alexander Paulus, Philipp Meisen, Tobias Meisen, Sabina Jeschke, Michael Czaplik, Frederik Hirsch
AUDIME: Augmented disaster medicine. HealthCom (2015)
Philipp Meisen, Diane Keng, Tobias Meisen, Marco Recchioni, Sabina Jeschke
Querying Time Interval Data. ICEIS (Revised Selected Papers) (2015)
Philipp Meisen, Diane Keng, Tobias Meisen, Marco Recchioni, Sabina Jeschke
TIDAQL - A Query Language Enabling on-Line Analytical Processing of Time Interval Data. ICEIS (1) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tobias Meisen