Emergent language: a survey and taxonomy. - Peters, Jannik; Puiseau, Constantin Waubert de; Tercan, Hasan; Gopikrishnan, Arya; Carvalho, Gustavo Adolpho Lucas de; Bitter, Christian; Meisen, Tobias (Auton. Agents Multi Agent Syst., 2025)

AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection. - Saini, Loveneet; Meuter, Mirko; Tercan, Hasan; Meisen, Tobias (2025)

Inferring Driving Maps by Deep Learning-based Trail Map Extraction. - Hubbertz, Michael; Colling, Pascal; Han, Qi; Meisen, Tobias (2025)

LMFormer: Lane based Motion Prediction Transformer. - Yadav, Harsh; Schäfer, Maximilian; Zhao, Kun; Meisen, Tobias (2025)

Towards Connecting General DPP Ontology Frameworks with Domain-specific Information Sources. - Deich, Jakob; Loeb, Lukas; Meins-Becker, Anica; Meisen, Tobias; Pomp, André (2025)

Beyond Labels: Self-Attention-Driven Semantic Separation Using Principal Component Clustering in Latent Diffusion Models. - Stillger, Felix; Hasecke, Frederik; Hahn, Lukas; Meisen, Tobias (2025)

Enhancing 3D Human Pose Estimation: A Novel Post-Processing Method. - Iravani, Elham; Hasecke, Frederik; Hahn, Lukas; Meisen, Tobias (2025)

PCAD: A Real-World Dataset for 6D Pose Industrial Anomaly Detection. - Maack, Robert F.; Thun, Lars; Liang, Thomas; Tercan, Hasan; Meisen, Tobias (2025)

AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection. - Saini, Loveneet; Meuter, Mirko; Tercan, Hasan; Meisen, Tobias (CoRR, 2025)

LMFormer: Lane based Motion Prediction Transformer. - Yadav, Harsh; Schäfer, Maximilian; Zhao, Kun; Meisen, Tobias (CoRR, 2025)

Inferring Driving Maps by Deep Learning-based Trail Map Extraction. - Hubbertz, Michael; Colling, Pascal; Han, Qi; Meisen, Tobias (CoRR, 2025)

Navigating the Depths: A Comprehensive Survey of Deep Learning for Passive Underwater Acoustic Target Recognition. - Müller, Nils; Reermann, Jens; Meisen, Tobias (IEEE Access, 2024)

Guided Exploration of Industrial Sensor Data. - Langer, Tristan; Meyes, Richard; Meisen, Tobias (Comput. Graph. Forum, 2024)

It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation. - Gomes, Miguel Alves; Meyes, Richard; Meisen, Philipp; Meisen, Tobias (J. Theor. Appl. Electron. Commer. Res., 2024)

Towards Precision in Motion: Investigating the Influences of Curriculum Learning based on a Multi-Purpose Performance Metric for Vision-Based Forklift Navigation. - Hadwiger, Simon; Kube, David; Lavrik, Vladimir; Meisen, Tobias (2024)

Quality Prediction in Arc Welding: Leveraging Transformer Models and Discrete Representations from Vector Quantised-VAE. - Hahn, Yannik; Maack, Robert F.; Tercan, Hasan; Meisen, Tobias; Purrio, Marion; Buchholz, Guido; Angerhausen, Matthias (2024)

CenterPoint Transformer for BEV Object Detection with Automotive Radar. - Saini, Loveneet; Su, Yu; Tercan, Hasan; Meisen, Tobias (2024)

Challenges and Opportunities of LLM-Augmented Semantic Model Creation for Dataspaces. - Hoseini, Sayed; Burgdorf, Andreas; Paulus, Alexander; Meisen, Tobias; Quix, Christoph; Pomp, André (2024)

Designing an Ontology Network for Digital Product Passports. - Jansen, Maike; Blomqvist, Eva; Keskisärkkä, Robin; Li, Huanyu; Lindecrantz, Mikael; Wannerberg, Karin; Pomp, André; Meisen, Tobias; Berg, Holger (2024)

CNNs Sparsification and Expansion for Continual Learning. - Tousside, Basile; Frochte, Jörg; Meisen, Tobias (2024)

Dynamic Capacity Expansion in Continual Learning: The eSECL Approach. - Tousside, Basile; Frochte, Jörg; Meisen, Tobias (2024)

Advancing Industry 4.0: Integrating Data Governance into Asset Administration Shell for Enhanced Interoperability. - Angos-Mediavilla, Mario; Gorenzweig, Michael; Pahnke, Gerome; Pomp, André; Freund, Matthias; Meisen, Tobias (2024)

CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention. - Yadav, Harsh; Schäfer, Maximilian; Zhao, Kun; Meisen, Tobias (2024)

Improved Single Camera BEV Perception Using Multi-Camera Training. - Busch, Daniel; Freeman, Ido; Meyes, Richard; Meisen, Tobias (2024)

Researchers' Concerns on Artificial Intelligence Ethics: Results from a Scenario-Based Survey. - Jantunen, Marianna; Meyes, Richard; Kurchyna, Veronika; Meisen, Tobias; Abrahamsson, Pekka; Mohanani, Rahul (2024)

Modelling Digital Product Passports for the Circular Economy. - Jansen, Maike; Blomqvist, Eva; Keskisärkkä, Robin; Li, Huanyu; Lindecrantz, Mikael; Wannerberg, Karin; Pomp, André; Meisen, Tobias; Berg, Holger (2024)

Evaluating Text Placement in Information-Rich Virtual Environments: A User Study on Controller-Anchored Text. - Mack, Nils Adrian; Schümmer, Florian; Rose, Marion; Meisen, Tobias (2024)

Towards LLM-augmented Creation of Semantic Models for Dataspaces. - Hoseini, Sayed; Burgdorf, Andreas; Paulus, Alexander; Meisen, Tobias; Quix, Christoph; Pomp, André (2024)

Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling. - Puiseau, Constantin Waubert de; Dörpelkus, Christian; Peters, Jannik; Tercan, Hasan; Meisen, Tobias (CoRR, 2024)

Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation. - Stillger, Felix; Hasecke, Frederik; Meisen, Tobias (CoRR, 2024)

Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings. - Gomes, Miguel Alves; Meisen, Philipp; Meisen, Tobias (CoRR, 2024)

Task Weighting through Gradient Projection for Multitask Learning. - Bohn, Christian; Freeman, Ido; Tercan, Hasan; Meisen, Tobias (CoRR, 2024)

A Survey on Emergent Language. - Peters, Jannik; Puiseau, Constantin Waubert de; Tercan, Hasan; Gopikrishnan, Arya; Carvalho, Gustavo Adolpho Lucas de; Bitter, Christian; Meisen, Tobias (CoRR, 2024)

Improved Single Camera BEV Perception Using Multi-Camera Training. - Busch, Daniel; Freeman, Ido; Meyes, Richard; Meisen, Tobias (CoRR, 2024)

Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem. - Puiseau, Constantin Waubert de; Wolz, Fabian; Montag, Merlin; Peters, Jannik; Tercan, Hasan; Meisen, Tobias (CoRR, 2024)

CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention. - Yadav, Harsh; Schäfer, Maximilian; Zhao, Kun; Meisen, Tobias (CoRR, 2024)

A review on customer segmentation methods for personalized customer targeting in e-commerce use cases. - Gomes, Miguel Alves; Meisen, Tobias (Inf. Syst. E Bus. Manag., 2023)

TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior. - Gomes, Miguel Alves; Wönkhaus, Mark; Meisen, Philipp; Meisen, Tobias (J. Theor. Appl. Electron. Commer. Res., 2023)

schlably: A Python framework for deep reinforcement learning based scheduling experiments. - Puiseau, Constantin Waubert de; Peters, Jannik; Dörpelkus, Christian; Tercan, Hasan; Meisen, Tobias (SoftwareX, 2023)

Stop Guessing in the Dark: Identified Requirements for Digital Product Passport Systems. - Jansen, Maike; Meisen, Tobias; Plociennik, Christiane; Berg, Holger; Pomp, André; Windholz, Waldemar (Syst., 2023)

Simulation-to-Reality Transfer of a Two-Stage Deep Reinforcement Learning Controller for Autonomous Load Carrier Approaching. - Hadwiger, Simon; Lavrik, Vladimir; Liao, Li Xin; Meisen, Tobias (2023)

Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning. - Tercan, Hasan; Meisen, Tobias (2023)

Filtering Recommender System for Semantic Model Refinement. - Paulus, Alexander; Burgdorf, Andreas; Pomp, André; Meisen, Tobias (2023)

Extending PLASMA for Industrial Semantic Modeling. - Paulus, Alexander; Burgdorf, Andreas; Meisen, Tobias; Pomp, André (2023)

The PLASMA Framework: Laying the Path to Domain-Specific Semantics in Dataspaces. - Paulus, Alexander; Pomp, André; Meisen, Tobias (2023)

SPACE_DS: Towards a Circular Economy Data Space. - Pomp, André; Jansen, Maike; Berg, Holger; Meisen, Tobias (2023)

Towards a Data Space for Interoperability of Analytic Provenance. - Langer, Tristan; Pomp, André; Meisen, Tobias (2023)

schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments. - Puiseau, Constantin Waubert de; Peters, Jannik; Dörpelkus, Christian; Meisen, Tobias (CoRR, 2023)

Curriculum Learning in Job Shop Scheduling using Reinforcement Learning. - Puiseau, Constantin Waubert de; Tercan, Hasan; Meisen, Tobias (CoRR, 2023)

Towards a Deep Learning-based Online Quality Prediction System for Welding Processes. - Hahn, Yannik; Maack, Robert F.; Buchholz, Guido; Purrio, Marion; Angerhausen, Matthias; Tercan, Hasan; Meisen, Tobias (CoRR, 2023)

VC-SLAM - A Handcrafted Data Corpus for the Construction of Semantic Models. - Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias (Data, 2022)

Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward. - Samsonov, Vladimir; Hicham, Karim Ben; Meisen, Tobias (Eng. Appl. Artif. Intell., 2022)

Survey on deep learning based computer vision for sonar imagery. - Steiniger, Yannik; Kraus, Dieter; Meisen, Tobias (Eng. Appl. Artif. Intell., 2022)

Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer. - Tercan, Hasan; Deibert, Philipp; Meisen, Tobias (J. Intell. Manuf., 2022)

On reliability of reinforcement learning based production scheduling systems: a comparative survey. - Puiseau, Constantin Waubert de; Meyes, Richard; Meisen, Tobias (J. Intell. Manuf., 2022)

Machine learning and deep learning based predictive quality in manufacturing: a systematic review. - Tercan, Hasan; Meisen, Tobias (J. Intell. Manuf., 2022)

Gideon Replay: A library to replay interactions in web-applications. - Langer, Tristan; Meyes, Richard; Meisen, Tobias (SoftwareX, 2022)

Autonomous Load Carrier Approaching Based on Deep Reinforcement Learning with Compressed Visual Information. - Hadwiger, Simon; Meisen, Tobias (2022)

DocSemMap 2.0: Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner. - Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias (2022)

Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings. - Gomes, Miguel Alves; Meyes, Richard; Meisen, Philipp; Meisen, Tobias (2022)

PLASMA: A Semantic Modeling Tool for Domain Experts. - Paulus, Alexander; Burgdorf, Andreas; Langer, Tristan; Pomp, André; Meisen, Tobias; Pol, Sebastian (2022)

Domain-independent Data-to-Text Generation for Open Data. - Burgdorf, Andreas; Barkmann, Micaela; Pomp, André; Meisen, Tobias (2022)

Predicting the Progress of Vehicle Development Projects using an Attention-based Encoder-Decoder Model. - Böhme, Oliver; Meisen, Tobias (2022)

Using IoT Technology for the Skilled Crafts. - Pomp, André; Burgdorf, Andreas; Paulus, Alexander; Meisen, Tobias (2022)

Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data. - Langer, Tristan; Welbers, Viktor; Hahn, Yannik; Wönkhaus, Mark; Meyes, Richard; Meisen, Tobias (2022)

Towards Unlocking the Potential of the Internet of Things for the Skilled Crafts. - Pomp, André; Burgdorf, Andreas; Paulus, Alexander; Meisen, Tobias (2022)

Gideon-TS: Efficient Exploration and Labeling of Multivariate Industrial Sensor Data. - Langer, Tristan; Welbers, Viktor; Meisen, Tobias (2022)

Using Node Embeddings to Generate Recommendations for Semantic Model Creation. - Paulus, Alexander; Burgdorf, Andreas; Stephan, Alina; Pomp, André; Meisen, Tobias (2022)

Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows. - Maack, Robert F.; Tercan, Hasan; Meisen, Tobias (2022)

DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs. - Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias (2022)

Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments. - Bitter, Christian; Thun, Timo; Meisen, Tobias (CoRR, 2022)

System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis. - Langer, Tristan; Meisen, Tobias (Inf., 2021)

When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails. - Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp (2021)

A Semantic Data Marketplace for Easy Data Sharing within a Smart City. - Pomp, André; Paulus, Alexander; Burgdorf, Andreas; Meisen, Tobias (2021)

Applied Feature-oriented Project Life Cycle Classification. - Böhme, Oliver; Meisen, Tobias (2021)

A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter. - Gomes, Miguel Alves; Tercan, Hasan; Bodnar, Todd; Meisen, Philipp; Meisen, Tobias (2021)

Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features. - Böhme, Oliver; Meisen, Tobias (2021)

Manufacturing Control in Job Shop Environments with Reinforcement Learning. - Samsonov, Vladimir; Kemmerling, Marco; Paegert, Maren; Lütticke, Daniel; Sauermann, Frederick; Gützlaff, Andreas; Schuh, Günther; Meisen, Tobias (2021)

PLASMA: Platform for Auxiliary Semantic Modeling Approaches. - Paulus, Alexander; Burgdorf, Andreas; Puleikis, Lars; Langer, Tristan; Pomp, André; Meisen, Tobias (2021)

Global Reward Design for Cooperative Agents to Achieve Flexible Production Control under Real-time Constraints. - Pol, Sebastian; Baer, Schirin; Turner, Danielle; Samsonov, Vladimir; Meisen, Tobias (2021)

Visual Analytics for Industrial Sensor Data Analysis. - Langer, Tristan; Meisen, Tobias (2021)

Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application. - Tercan, Hasan; Bitter, Christian; Bodnar, Todd; Meisen, Philipp; Meisen, Tobias (2021)

Fault Detection in Railway Switches using Deformable Convolutional Neural Networks. - Maack, Robert F.; Tercan, Hasan; Solvay, Alexia Fenollar; Mieth, Maximilian; Meisen, Tobias (2021)

Recent Advances and Future Challenges of Semantic Modeling. - Paulus, Alexander; Burgdorf, Andreas; Pomp, André; Meisen, Tobias (2021)

Fleet Management Approach for Manufacturers displayed at the Use Case of Battery Electric Vehicles. - Bülow, Friedrich von; Heinrich, Felix; Meisen, Tobias (2021)

Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste. - Gannouni, Aymen; Samsonov, Vladimir; Behery, Mohamed; Meisen, Tobias; Lakemeyer, Gerhard (2020)

Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations. - Meyes, Richard; Puiseau, Constantin Waubert de; Posada-Moreno, Andres; Meisen, Tobias (CoRR, 2020)

How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents. - Meyes, Richard; Schneider, Moritz; Meisen, Tobias (CoRR, 2020)

Towards NLP-supported Semantic Data Management. - Burgdorf, Andreas; Pomp, André; Meisen, Tobias (CoRR, 2020)

Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces. - Ionita, Andrei; Pomp, André; Cochez, Michael; Meisen, Tobias; Decker, Stefan (Int. J. Artif. Intell. Tools, 2019)

Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems. - Baer, Schirin; Bakakeu, Jupiter; Meyes, Richard; Meisen, Tobias (2019)

Enhancing Knowledge Graphs with Data Representatives. - Pomp, André; Poth, Lucian; Kraus, Vadim; Meisen, Tobias (2019)

Semantic Concept Recommendation for Continuously Evolving Knowledge Graphs. - Pomp, André; Kraus, Vadim; Poth, Lucian; Meisen, Tobias (2019)

Towards an Infrastructure Enabling the Internet of Production. - Pennekamp, Jan; Glebke, René; Henze, Martin; Meisen, Tobias; Quix, Christoph; Hai, Rihan; Gleim, Lars Christoph; Niemietz, Philipp; Rudack, Maximilian; Knape, Simon; Epple, Alexander; Trauth, Daniel; et al. (2019)

How To RAMI 4.0: Towards An Agent-based Information Management Architecture. - Kirmse, Andreas; Kraus, Vadim; Langer, Tristan; Pomp, André; Meisen, Tobias (2019)

Model to assess the Economic Profitability of Predictive Maintenance Projects. - Wolf, Christian; Kirmse, Andreas; Burkhalter, Maximilian; Hoffmann, Max; Meisen, Tobias (2019)

Industrial Transfer Learning: Boosting Machine Learning in Production. - Tercan, Hasan; Guajardo, Alexandro; Meisen, Tobias (2019)

You are Missing a Concept! Enhancing Ontology-Based Data Access with Evolving Ontologies. - Pomp, André; Lipp, Johannes; Meisen, Tobias (2019)

Evaluation and Comparison of Cross-lingual Text Processing Pipelines. - Jungnickel, Robert; Pomp, André; Kirmse, Andreas; Li, Xiang; Samsonov, Vladimir; Meisen, Tobias (2019)

More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing. - Samsonov, Vladimir; Lipp, Johannes; Noodt, Philipp; Solvay, Alexia Fenollar; Meisen, Tobias (2019)

Towards Utilizing Domain Expertise for Exploratory Data Analysis. - Langer, Tristan; Meisen, Tobias (2019)

Ablation Studies in Artificial Neural Networks. - Meyes, Richard; Lu, Melanie; Puiseau, Constantin Waubert de; Meisen, Tobias (CoRR, 2019)

Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. - Ionita, Andrei; Pomp, André; Cochez, Michael; Meisen, Tobias; Decker, Stefan (CoRR, 2019)

Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process. - Wang, You; Tercan, Hasan; Hermanns, Torsten; Thiele, Thomas; Meisen, Tobias; Jeschke, Sabina; Schulz, Wolfgang (J. ICT Stand., 2018)

Similarity Recognition of Interval-Based Sleep Data. - Haßler, Marc; Burgdorf, Andreas; Kohlschein, Christian; Meisen, Tobias (2018)

An Extensible Semantic Search Engine for Biomedical Publications. - Kohlschein, Christian; Klischies, Daniel; Paulus, Alexander; Burgdorf, Andreas; Meisen, Tobias; Kipp, Markus (2018)

A Web-based UI to Enable Semantic Modeling for Everyone. - Pomp, André; Paulus, Alexander; Klischies, Daniel; Schwier, Christian; Meisen, Tobias (2018)

Gathering and Combining Semantic Concepts from Multiple Knowledge Bases. - Paulus, Alexander; Pomp, André; Poth, Lucian; Lipp, Johannes; Meisen, Tobias (2018)

An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics. - Kirmse, Andreas; Kraus, Vadim; Hoffmann, Max; Meisen, Tobias (2018)

Recommending Semantic Concepts for Improving the Process of Semantic Modeling. - Paulus, Alexander; Pomp, André; Poth, Lucian; Lipp, Johannes; Meisen, Tobias (2018)

STIDes Revisited - Tackling Global Time Shifts and Scaling. - Haßler, Marc; Pomp, André; Kohlschein, Christian; Meisen, Tobias (2018)

Design of an Automated Measuring System for RFID Transponders in Complex Environments. - Lütticke, Daniel; Meisen, Tobias (2018)

Towards Combining Semantic Concepts from Multiple Knowledge Bases. - Paulus, Alexander; Pomp, André; Poth, Lucian; Lipp, Johannes; Meisen, Tobias (2018)

Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas. - Ionita, Andrei; Pomp, André; Cochez, Michael; Meisen, Tobias; Decker, Stefan (2018)

Ablation of a Robot's Brain: Neural Networks Under a Knife. - Lillian, Peter; Meyes, Richard; Meisen, Tobias (CoRR, 2018)

Improving the laser cutting process design by machine learning techniques. - Tercan, Hasan; Khawli, Toufik Al; Eppelt, Urs; Büscher, Christian; Meisen, Tobias; Jeschke, Sabina (Prod. Eng., 2017)

A Data-based Method for Industrial Big Data Project Prioritization. - Kuschicke, Felix; Thiele, Thomas; Meisen, Tobias; Jeschke, Sabina (2017)

Enabling Semantics in Enterprises. - Pomp, André; Paulus, Alexander; Jeschke, Sabina; Meisen, Tobias (2017)

ESKAPE: Information Platform for Enabling Semantic Data Processing. - Pomp, André; Paulus, Alexander; Jeschke, Sabina; Meisen, Tobias (2017)

Cyber-Physical Production Systems: A Teaching Concept in Engineering Education. - Antkowiak, Daniela; Lütticke, Daniel; Langer, Tristan; Thiele, Thomas; Meisen, Tobias; Jeschke, Sabina (2017)

Advanced data enrichment and data analysis in manufacturing industry by an example of laser drilling process. - Wang, You; Tercan, Hasan; Thiele, Thomas; Meisen, Tobias; Jeschke, Sabina; Schulz, Wolfgang (2017)

OPC UA Based ERP Agents: Enabling Scalable Communication Solutions in Heterogeneous Automation Environments. - Hoffmann, Max; Meisen, Tobias; Jeschke, Sabina (2017)

ESKAPE: Platform for Enabling Semantics in the Continuously Evolving Internet of Things. - Pomp, André; Paulus, Alexander; Jeschke, Sabina; Meisen, Tobias (2017)

Language therapy of aphasia supported by augmented reality applications. - Antkowiak, Daniela; Kohlschein, Christian; Krooß, Roksaneh; Speicher, Maximilian; Meisen, Tobias; Jeschke, Sabina; Werner, Cornelius J. (2016)

Semantic integration of multi-agent systems using an OPC UA information modeling approach. - Hoffmann, Max; Thomas, Philipp; Schütz, Daniel; Vogel-Heuser, Birgit; Meisen, Tobias; Jeschke, Sabina (2016)

Enhancing the Learning Success of Engineering Students by Virtual Experiments. - Hoffmann, Max; Plumanns, Lana; Lenz, Laura; Schuster, Katharina; Meisen, Tobias; Jeschke, Sabina (2015)

AUDIME: Augmented disaster medicine. - Paulus, Alexander; Meisen, Philipp; Meisen, Tobias; Jeschke, Sabina; Czaplik, Michael; Hirsch, Frederik (2015)

Querying Time Interval Data. - Meisen, Philipp; Keng, Diane; Meisen, Tobias; Recchioni, Marco; Jeschke, Sabina (2015)

TIDAQL - A Query Language Enabling on-Line Analytical Processing of Time Interval Data. - Meisen, Philipp; Keng, Diane; Meisen, Tobias; Recchioni, Marco; Jeschke, Sabina (2015)

Bitmap-Based On-line Analytical Processing of Time Interval Data. - Meisen, Philipp; Keng, Diane; Meisen, Tobias; Recchioni, Marco; Jeschke, Sabina (2015)

Modeling and processing of time interval data for data-driven decision support. - Meisen, Philipp; Recchioni, Marco; Meisen, Tobias; Schilberg, Daniel; Jeschke, Sabina (2014)

Virtuelle Produktion - Die Virtual Production Intelligence im Einsatz. - Schilberg, Daniel; Meisen, Tobias; Reinhard, Rudolf (2014)

Virtual Production Intelligence - A Contribution to the Digital Factory. - Reinhard, Rudolf; Büscher, Christian; Meisen, Tobias; Schilberg, Daniel; Jeschke, Sabina (2012)

The virtual production simulation platform: from collaborative distributed simulation to integrated visual analysis. - Beer, Thomas; Meisen, Tobias; Reinhard, Rudolf; Konovalov, Sergey; Schilberg, Daniel; Jeschke, Sabina; Kuhlen, Torsten W.; Bischof, Christian H. (Prod. Eng., 2011)

Application Integration of Simulation Tools Considering Domain Specific Knowledge. - Meisen, Tobias; Meisen, Philipp; Schilberg, Daniel; Jeschke, Sabina (2011)

Adaptive Information Integration: Bridging the Semantic Gap between Numerical Simulations. - Meisen, Tobias; Meisen, Philipp; Schilberg, Daniel; Jeschke, Sabina (2011)

A Multi Level Time Model for Interactive Multiple Dataset Visualization: The Dataset Sequencer. - Beer, Thomas; Garbereder, Gerrit; Meisen, Tobias; Reinhard, Rudolf; Kuhlen, Torsten W. (2011)

Efficient similarity search using the Earth Mover's Distance for large multimedia databases. - Assent, Ira; Wichterich, Marc; Meisen, Tobias; Seidl, Thomas (2008)