Efficient similarity search using the Earth Mover's Distance for large multimedia databases. - Ira Assent; Marc Wichterich; Tobias Meisen; Thomas Seidl 001 (ICDE, 2008)

Application Integration of Simulation Tools Considering Domain Specific Knowledge. - Tobias Meisen; Philipp Meisen; Daniel Schilberg; Sabina Jeschke (ICEIS (1), 2011)

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

A Multi Level Time Model for Interactive Multiple Dataset Visualization: The Dataset Sequencer. - Thomas Beer; Gerrit Garbereder; Tobias Meisen; Rudolf Reinhard; Torsten W. Kuhlen (ISVC (2), 2011)

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

Virtual Production Intelligence - A Contribution to the Digital Factory. - Rudolf Reinhard; Christian Büscher; Tobias Meisen; Daniel Schilberg; Sabina Jeschke (ICIRA (1), 2012)

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

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

Enhancing the Learning Success of Engineering Students by Virtual Experiments. - Max Hoffmann 002; Lana Plumanns; Laura Lenz; Katharina Schuster; Tobias Meisen; Sabina Jeschke (HCI (24), 2015)

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

TIDAQL - A Query Language Enabling on-Line Analytical Processing of Time Interval Data. - Philipp Meisen; Diane Keng; Tobias Meisen; Marco Recchioni; Sabina Jeschke (ICEIS (1), 2015)

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

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

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

Semantic integration of multi-agent systems using an OPC UA information modeling approach. - Max Hoffmann 002; Philipp Thomas; Daniel Schütz; Birgit Vogel-Heuser; Tobias Meisen; Sabina Jeschke (INDIN, 2016)

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

ESKAPE: Information Platform for Enabling Semantic Data Processing. - André Pomp; Alexander Paulus; Sabina Jeschke; Tobias Meisen (ICEIS (2), 2017)

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

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

Advanced data enrichment and data analysis in manufacturing industry by an example of laser drilling process. - You Wang; Hasan Tercan; Thomas Thiele; Tobias Meisen; Sabina Jeschke; Wolfgang Schulz 001 (Kaleidoscope, 2017)

OPC UA Based ERP Agents: Enabling Scalable Communication Solutions in Heterogeneous Automation Environments. - Max Hoffmann 002; Tobias Meisen; Sabina Jeschke (PAAMS, 2017)

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

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

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

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

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

An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics. - Andreas Kirmse; Vadim Kraus; Max Hoffmann 002; Tobias Meisen (ICEIS (1), 2018)

Gathering and Combining Semantic Concepts from Multiple Knowledge Bases. - Alexander Paulus; André Pomp; Lucian Poth; Johannes Lipp; Tobias Meisen (ICEIS (1), 2018)

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

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

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

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

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

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

Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process. - You Wang; Hasan Tercan; Torsten Hermanns; Thomas Thiele; Tobias Meisen; Sabina Jeschke; Wolfgang Schulz 001 (J. ICT Stand., 2018)

Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems. - Schirin Baer; Jupiter Bakakeu; Richard Meyes; Tobias Meisen (AI4I, 2019)

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

Enhancing Knowledge Graphs with Data Representatives. - André Pomp; Lucian Poth; Vadim Kraus; Tobias Meisen (ICEIS (1), 2019)

Towards an Infrastructure Enabling the Internet of Production. - Jan Pennekamp; René Glebke; Martin Henze; Tobias Meisen; Christoph Quix; Rihan Hai 001; Lars Christoph Gleim; Philipp Niemietz; Maximilian Rudack; Simon Knape; Alexander Epple; Daniel Trauth; et al. (ICPS, 2019)

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

Model to assess the Economic Profitability of Predictive Maintenance Projects. - Christian Wolf 009; Andreas Kirmse; Maximilian Burkhalter; Max Hoffmann 002; Tobias Meisen (HPCS, 2019)

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

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

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

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

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

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

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

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

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

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

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

When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails. - Christian Bitter; Hasan Tercan; Tobias Meisen; Todd Bodnar; Philipp Meisen (AI4I, 2021)

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

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

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

Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features. - Oliver Böhme; Tobias Meisen (ICAART (2), 2021)

Manufacturing Control in Job Shop Environments with Reinforcement Learning. - Vladimir Samsonov; Marco Kemmerling; Maren Paegert; Daniel Lütticke; Frederick Sauermann; Andreas Gützlaff; Günther Schuh; Tobias Meisen (ICAART (2), 2021)

Visual Analytics for Industrial Sensor Data Analysis. - Tristan Langer; Tobias Meisen (ICEIS (1), 2021)

PLASMA: Platform for Auxiliary Semantic Modeling Approaches. - Alexander Paulus; Andreas Burgdorf; Lars Puleikis; Tristan Langer; André Pomp; Tobias Meisen (ICEIS (2), 2021)

Global Reward Design for Cooperative Agents to Achieve Flexible Production Control under Real-time Constraints. - Sebastian Pol; Schirin Baer; Danielle Turner; Vladimir Samsonov; Tobias Meisen (ICEIS (1), 2021)

Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application. - Hasan Tercan; Christian Bitter; Todd Bodnar; Philipp Meisen; Tobias Meisen (ICEIS (1), 2021)

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

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

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

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

Autonomous Load Carrier Approaching Based on Deep Reinforcement Learning with Compressed Visual Information. - Simon Hadwiger; Tobias Meisen (AI4I, 2022)

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

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

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

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

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

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

Gideon-TS: Efficient Exploration and Labeling of Multivariate Industrial Sensor Data. - Tristan Langer; Viktor Welbers; Tobias Meisen (ICEIS (1), 2022)

Using Node Embeddings to Generate Recommendations for Semantic Model Creation. - Alexander Paulus; Andreas Burgdorf; Alina Stephan; André Pomp; Tobias Meisen (ICEIS (1), 2022)

Towards Unlocking the Potential of the Internet of Things for the Skilled Crafts. - André Pomp; Andreas Burgdorf; Alexander Paulus; Tobias Meisen (ICEIS (1), 2022)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments. - Constantin Waubert de Puiseau; Jannik Peters 002; Christian Dörpelkus; Tobias Meisen (CoRR, 2023)

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

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

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

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

schlably: A Python framework for deep reinforcement learning based scheduling experiments. - Constantin Waubert de Puiseau; Jannik Peters 002; Christian Dörpelkus; Hasan Tercan; Tobias Meisen (SoftwareX, 2023)

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

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

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

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

Challenges and Opportunities of LLM-Augmented Semantic Model Creation for Dataspaces. - Sayed Hoseini; Andreas Burgdorf; Alexander Paulus; Tobias Meisen; Christoph Quix; André Pomp (ESWC Satellite Events (2), 2024)

Designing an Ontology Network for Digital Product Passports. - Maike Jansen; Eva Blomqvist; Robin Keskisärkkä; Huanyu Li 001; Mikael Lindecrantz; Karin Wannerberg; André Pomp; Tobias Meisen; Holger Berg (ESWC Satellite Events (2), 2024)

CNNs Sparsification and Expansion for Continual Learning. - Basile Tousside; Jörg Frochte; Tobias Meisen (ICAART (2), 2024)

Dynamic Capacity Expansion in Continual Learning: The eSECL Approach. - Basile Tousside; Jörg Frochte; Tobias Meisen (ICAART (Revised Selected Paper, 1), 2024)

Advancing Industry 4.0: Integrating Data Governance into Asset Administration Shell for Enhanced Interoperability. - Mario Angos-Mediavilla; Michael Gorenzweig; Gerome Pahnke; André Pomp; Matthias Freund; Tobias Meisen (ICEIS (1), 2024)

CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention. - Harsh Yadav; Maximilian Schäfer; Kun Zhao; Tobias Meisen (ICPR (17), 2024)

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

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

Modelling Digital Product Passports for the Circular Economy. - Maike Jansen; Eva Blomqvist; Robin Keskisärkkä; Huanyu Li 001; Mikael Lindecrantz; Karin Wannerberg; André Pomp; Tobias Meisen; Holger Berg (KG4S@ESWC, 2024)

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

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

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

Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling. - Constantin Waubert de Puiseau; Christian Dörpelkus; Jannik Peters 002; Hasan Tercan; Tobias Meisen (CoRR, 2024)

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

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

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

A Survey on Emergent Language. - Jannik Peters 002; Constantin Waubert de Puiseau; Hasan Tercan; Arya Gopikrishnan; Gustavo Adolpho Lucas de Carvalho; Christian Bitter; Tobias Meisen (CoRR, 2024)

Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem. - Constantin Waubert de Puiseau; Fabian Wolz; Merlin Montag; Jannik Peters 002; Hasan Tercan; Tobias Meisen (CoRR, 2024)

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

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

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

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

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

Towards Connecting General DPP Ontology Frameworks with Domain-specific Information Sources. - Jakob Deich; Lukas Loeb; Anica Meins-Becker; Tobias Meisen; André Pomp (KG4S@ESWC, 2025)

Enhancing 3D Human Pose Estimation: A Novel Post-Processing Method. - Elham Iravani; Frederik Hasecke; Lukas Hahn; Tobias Meisen (VISIGRAPP (2): VISAPP, 2025)

Beyond Labels: Self-Attention-Driven Semantic Separation Using Principal Component Clustering in Latent Diffusion Models. - Felix Stillger; Frederik Hasecke; Lukas Hahn; Tobias Meisen (VISIGRAPP (2): VISAPP, 2025)

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

Emergent language: a survey and taxonomy. - Jannik Peters 002; Constantin Waubert de Puiseau; Hasan Tercan; Arya Gopikrishnan; Gustavo Adolpho Lucas de Carvalho; Christian Bitter; Tobias Meisen (Auton. Agents Multi Agent Syst., 2025)

Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations. - Nils Hütten; Florian Hölken; Hasan Tercan; Tobias Meisen (CoRR, 2025)

Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR. - Adwait Chandorkar; Hasan Tercan; Tobias Meisen (CoRR, 2025)

Efficient Inter-Task Attention for Multitask Transformer Models. - Christian Bohn; Thomas Kurbiel; Klaus Friedrichs; Hasan Tercan; Tobias Meisen (CoRR, 2025)