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

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 (20th IEEE International Conference on Automation Science and Engineering, CASE 2024, Bari, Italy, August 28 - Sept. 1, 2024, 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 (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

CenterPoint Transformer for BEV Object Detection with Automotive Radar - Loveneet Saini; Yu Su; Hasan Tercan; Tobias Meisen (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 2024)

Challenges and Opportunities of LLM-Augmented Semantic Model Creation for Dataspaces - Sayed Hoseini; Andreas Burgdorf; Alexander Paulus; Tobias Meisen; Christoph Quix; André Pomp (The Semantic Web: ESWC 2024 Satellite Events - Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part II, 2024)

Designing an Ontology Network for Digital Product Passports - Maike Jansen; Eva Blomqvist; Robin Keskisärkkä; Huanyu Li; Mikael Lindecrantz; Karin Wannerberg; André Pomp; Tobias Meisen; Holger Berg (The Semantic Web: ESWC 2024 Satellite Events - Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part II, 2024)

CNNs Sparsification and Expansion for Continual Learning - Basile Tousside; Jörg Frochte; Tobias Meisen (Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 2, Rome, Italy, February 24-26, 2024, 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 (Proceedings of the 26th International Conference on Enterprise Information Systems, ICEIS 2024, Angers, France, April 28-30, 2024, Volume 1, 2024)

CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention - Harsh Yadav; Maximilian Schäfer; Kun Zhao; Tobias Meisen (Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XVII, 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 (Proceedings of the 7th ACM/IEEE International Workshop on Software-intensive Business, IWSiB 2024, Lisbon, Portugal, 16 April 2024, 2024)

Modelling Digital Product Passports for the Circular Economy - Maike Jansen; Eva Blomqvist; Robin Keskisärkkä; Huanyu Li; Mikael Lindecrantz; Karin Wannerberg; André Pomp; Tobias Meisen; Holger Berg (Proceedings of the The 2nd International Workshop on Knowledge Graphs for Sustainability (KG4S 2024) colocated with the 21st Extended Semantic Web Conference (ESWC 2024), Hersonissos, Greece, May 27th, 2024, 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 (Proceedings of the 13th Nordic Conference on Human-Computer Interaction, NordiCHI 2024, Uppsala, Sweden, October 13-16, 2024, 2024)

Towards LLM-augmented Creation of Semantic Models for Dataspaces - Sayed Hoseini; Andreas Burgdorf; Alexander Paulus; Tobias Meisen; Christoph Quix; André Pomp (Proceedings of the Second International Workshop on Semantics in Dataspaces (SDS 2024) co-located with the 21st Extended Semantic Web Conference (ESWC 2024), Hersonissos, Greece, May 26, 2024, 2024)

Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling - Constantin Waubert de Puiseau; Christian Dörpelkus; Jannik Peters; 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; Constantin Waubert de Puiseau; Hasan Tercan; Arya Gopikrishnan; Gustavo Adolpho Lucas De Carvalho; Christian Bitter; Tobias Meisen (CoRR, 2024)

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

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

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)

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)

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

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 (IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2023, Tomar, Portugal, April 26-27, 2023, 2023)

Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning - Hasan Tercan; Tobias Meisen (Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023, 2023)

Filtering Recommender System for Semantic Model Refinement - Alexander Paulus; Andreas Burgdorf; André Pomp; Tobias Meisen (17th IEEE International Conference on Semantic Computing, ICSC 2023, Laguna Hills, CA, USA, February 1-3, 2023, 2023)

Extending PLASMA for Industrial Semantic Modeling - Alexander Paulus; Andreas Burgdorf; Tobias Meisen; André Pomp (Proceedings of the Second International Workshop on Semantic Industrial Information Modelling (SemIIM 2023) co-located with the 22nd International Semantic Web Conference (ISWC 2023), Greece, Athens, 7 November 2023, 2023)

The PLASMA Framework: Laying the Path to Domain-Specific Semantics in Dataspaces - Alexander Paulus; André Pomp; Tobias Meisen (Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, 2023)

SPACE_DS: Towards a Circular Economy Data Space - André Pomp; Maike Jansen; Holger Berg; Tobias Meisen (Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, 2023)

Towards a Data Space for Interoperability of Analytic Provenance - Tristan Langer; André Pomp; Tobias Meisen (Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, 2023)

schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments - Constantin Waubert de Puiseau; Jannik Peters; 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)

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)

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)

On reliability of reinforcement learning based production scheduling systems: a comparative survey - Constantin Waubert de Puiseau; Richard Meyes; 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)

Autonomous Load Carrier Approaching Based on Deep Reinforcement Learning with Compressed Visual Information - Simon Hadwiger; Tobias Meisen (5th International Conference on Artificial Intelligence for Industries, AI4I 2022, Laguna Hills, CA, USA, September 19-21, 2022, 2022)

DocSemMap 2.0: Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner - Andreas Burgdorf; Alexander Paulus; André Pomp; Tobias Meisen (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings - Miguel Alves Gomes; Richard Meyes; Philipp Meisen; Tobias Meisen (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

PLASMA: A Semantic Modeling Tool for Domain Experts - Alexander Paulus; Andreas Burgdorf; Tristan Langer; André Pomp; Tobias Meisen; Sebastian Pol (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

Domain-independent Data-to-Text Generation for Open Data - Andreas Burgdorf; Micaela Barkmann; André Pomp; Tobias Meisen (Proceedings of the 11th International Conference on Data Science, Technology and Applications, DATA 2022, Lisbon, Portugal, July 11-13, 2022, 2022)

Predicting the Progress of Vehicle Development Projects using an Attention-based Encoder-Decoder Model - Oliver Böhme; Tobias Meisen (ICCTA 2022: 8th International Conference on Computer Technology Applications, Kapfenberg, Austria, May 12 - 14, 2022, 2022)

Using IoT Technology for the Skilled Crafts - André Pomp; Andreas Burgdorf; Alexander Paulus; Tobias Meisen (Enterprise Information Systems - 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers, 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 (Enterprise Information Systems - 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers, 2022)

Towards Unlocking the Potential of the Internet of Things for the Skilled Crafts - André Pomp; Andreas Burgdorf; Alexander Paulus; Tobias Meisen (Proceedings of the 24th International Conference on Enterprise Information Systems, ICEIS 2022, Online Streaming, April 25-27, 2022, Volume 1, 2022)

Gideon-TS: Efficient Exploration and Labeling of Multivariate Industrial Sensor Data - Tristan Langer; Viktor Welbers; Tobias Meisen (Proceedings of the 24th International Conference on Enterprise Information Systems, ICEIS 2022, Online Streaming, April 25-27, 2022, Volume 1, 2022)

Using Node Embeddings to Generate Recommendations for Semantic Model Creation - Alexander Paulus; Andreas Burgdorf; Alina Stephan; André Pomp; Tobias Meisen (Proceedings of the 24th International Conference on Enterprise Information Systems, ICEIS 2022, Online Streaming, April 25-27, 2022, Volume 1, 2022)

Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows - Robert F. Maack; Hasan Tercan; Tobias Meisen (20th IEEE International Conference on Industrial Informatics, INDIN 2022, Perth, Australia, July 25-28, 2022, 2022)

DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs - Andreas Burgdorf; Alexander Paulus; André Pomp; Tobias Meisen (16th IEEE International Conference on Semantic Computing, ICSC 2022, Laguna Hills, CA, USA, January 26-28, 2022, 2022)

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

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

When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails - Christian Bitter; Hasan Tercan; Tobias Meisen; Todd Bodnar; Philipp Meisen (4th International Conference on Artificial Intelligence for Industries, AI4I 2021, Laguna Hills, CA, USA, September 20-22, 2021, 2021)

A Semantic Data Marketplace for Easy Data Sharing within a Smart City - André Pomp; Alexander Paulus; Andreas Burgdorf; Tobias Meisen (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Applied Feature-oriented Project Life Cycle Classification - Oliver Böhme; Tobias Meisen (Proceedings of the 10th International Conference on Data Science, Technology and Applications, DATA 2021, Online Streaming, July 6-8, 2021, 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 (2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), Haikou, Hainan, China, December 20-22, 2021, 2021)

Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features - Oliver Böhme; Tobias Meisen (Proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, Volume 2, Online Streaming, February 4-6, 2021, 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 (Proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, Volume 2, Online Streaming, February 4-6, 2021, 2021)

PLASMA: Platform for Auxiliary Semantic Modeling Approaches - Alexander Paulus; Andreas Burgdorf; Lars Puleikis; Tristan Langer; André Pomp; Tobias Meisen (Proceedings of the 23rd International Conference on Enterprise Information Systems, ICEIS 2021, Online Streaming, April 26-28, 2021, Volume 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 (Proceedings of the 23rd International Conference on Enterprise Information Systems, ICEIS 2021, Online Streaming, April 26-28, 2021, Volume 1, 2021)

Visual Analytics for Industrial Sensor Data Analysis - Tristan Langer; Tobias Meisen (Proceedings of the 23rd International Conference on Enterprise Information Systems, ICEIS 2021, Online Streaming, April 26-28, 2021, Volume 1, 2021)

Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application - Hasan Tercan; Christian Bitter; Todd Bodnar; Philipp Meisen; Tobias Meisen (Proceedings of the 23rd International Conference on Enterprise Information Systems, ICEIS 2021, Online Streaming, April 26-28, 2021, Volume 1, 2021)

Fault Detection in Railway Switches using Deformable Convolutional Neural Networks - Robert F. Maack; Hasan Tercan; Alexia Fenollar Solvay; Maximilian Mieth; Tobias Meisen (19th IEEE International Conference on Industrial Informatics, INDIN 2021, Palma de Mallorca, Spain, July 21-23, 2021, 2021)

Recent Advances and Future Challenges of Semantic Modeling - Alexander Paulus; Andreas Burgdorf; André Pomp; Tobias Meisen (15th IEEE International Conference on Semantic Computing, ICSC 2021, Laguna Hills, CA, USA, January 27-29, 2021, 2021)

Fleet Management Approach for Manufacturers displayed at the Use Case of Battery Electric Vehicles - Friedrich von Bülow; Felix Heinrich; Tobias Meisen (2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021, Melbourne, Australia, October 17-20, 2021, 2021)

Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste - Aymen Gannouni; Vladimir Samsonov; Mohamed Behery; Tobias Meisen; Gerhard Lakemeyer (2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020, Toronto, ON, Canada, October 11-14, 2020, 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)

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)

Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems - Schirin Baer; Jupiter Bakakeu; Richard Meyes; Tobias Meisen (Second International Conference on Artificial Intelligence for Industries, AI4I 2019, Laguna Hills, CA, USA, September 25-27, 2019, 2019)

Enhancing Knowledge Graphs with Data Representatives - André Pomp; Lucian Poth; Vadim Kraus; Tobias Meisen (Proceedings of the 21st International Conference on Enterprise Information Systems, ICEIS 2019, Heraklion, Crete, Greece, May 3-5, 2019, Volume 1, 2019)

Semantic Concept Recommendation for Continuously Evolving Knowledge Graphs - André Pomp; Vadim Kraus; Lucian Poth; Tobias Meisen (Enterprise Information Systems - 21st International Conference, ICEIS 2019, Heraklion, Crete, Greece, May 3-5, 2019, Revised Selected Papers, 2019)

Towards an Infrastructure Enabling the Internet of Production - 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; et al. (IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019, Taipei, Taiwan, May 6-9, 2019, 2019)

How To RAMI 4.0: Towards An Agent-based Information Management Architecture - Andreas Kirmse; Vadim Kraus; Tristan Langer; André Pomp; Tobias Meisen (17th International Conference on High Performance Computing & Simulation, HPCS 2019, Dublin, Ireland, July 15-19, 2019, 2019)

Model to assess the Economic Profitability of Predictive Maintenance Projects - Christian Wolf; Andreas Kirmse; Maximilian Burkhalter; Max Hoffmann; Tobias Meisen (17th International Conference on High Performance Computing & Simulation, HPCS 2019, Dublin, Ireland, July 15-19, 2019, 2019)

Industrial Transfer Learning: Boosting Machine Learning in Production - Hasan Tercan; Alexandro Guajardo; Tobias Meisen (17th IEEE International Conference on Industrial Informatics, INDIN 2019, Helsinki, Finland, July 22-25, 2019, 2019)

You are Missing a Concept! Enhancing Ontology-Based Data Access with Evolving Ontologies - André Pomp; Johannes Lipp; Tobias Meisen (13th IEEE International Conference on Semantic Computing, ICSC 2019, Newport Beach, CA, USA, January 30 - February 1, 2019, 2019)

Evaluation and Comparison of Cross-lingual Text Processing Pipelines - Robert Jungnickel; André Pomp; Andreas Kirmse; Xiang Li; Vladimir Samsonov; Tobias Meisen (IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019, 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 (IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019, 2019)

Towards Utilizing Domain Expertise for Exploratory Data Analysis - Tristan Langer; Tobias Meisen (Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019, Shanghai, China, September 20-22, 2019, 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 (CoRR, 2019)

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 (J. ICT Stand., 2018)

Similarity Recognition of Interval-Based Sleep Data - Marc Haßler; Andreas Burgdorf; Christian Kohlschein; Tobias Meisen (20th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2018, Ostrava, Czech Republic, September 17-20, 2018, 2018)

An Extensible Semantic Search Engine for Biomedical Publications - Christian Kohlschein; Daniel Klischies; Alexander Paulus; Andreas Burgdorf; Tobias Meisen; Markus Kipp (20th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2018, Ostrava, Czech Republic, September 17-20, 2018, 2018)

A Web-based UI to Enable Semantic Modeling for Everyone - André Pomp; Alexander Paulus; Daniel Klischies; Christian Schwier; Tobias Meisen (Proceedings of the 14th International Conference on Semantic Systems, SEMANTiCS 2018, Vienna, Austria, September 10-13, 2018, 2018)

Gathering and Combining Semantic Concepts from Multiple Knowledge Bases - Alexander Paulus; André Pomp; Lucian Poth; Johannes Lipp; Tobias Meisen (Proceedings of the 20th International Conference on Enterprise Information Systems, ICEIS 2018, Funchal, Madeira, Portugal, March 21-24, 2018, Volume 1, 2018)

An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics - Andreas Kirmse; Vadim Kraus; Max Hoffmann; Tobias Meisen (Proceedings of the 20th International Conference on Enterprise Information Systems, ICEIS 2018, Funchal, Madeira, Portugal, March 21-24, 2018, Volume 1, 2018)

Recommending Semantic Concepts for Improving the Process of Semantic Modeling - Alexander Paulus; André Pomp; Lucian Poth; Johannes Lipp; Tobias Meisen (Enterprise Information Systems - 20th International Conference, ICEIS 2018, Funchal, Madeira, Portugal, March 21-24, 2018, Revised Selected Papers, 2018)

STIDes Revisited - Tackling Global Time Shifts and Scaling - Marc Haßler; André Pomp; Christian Kohlschein; Tobias Meisen (2018 International Conference on Innovations in Information Technology (IIT), Al Ain, United Arab Emirates, November 18-19, 2018, 2018)

Design of an Automated Measuring System for RFID Transponders in Complex Environments - Daniel Lütticke; Tobias Meisen (IEEE International Conference on RFID Technology & Application, RFID-TA 2018, Macau, SAR, China, September 26-28, 2018, 2018)

Towards Combining Semantic Concepts from Multiple Knowledge Bases - Alexander Paulus; André Pomp; Lucian Poth; Johannes Lipp; Tobias Meisen (12th IEEE International Conference on Semantic Computing, ICSC 2018, Laguna Hills, CA, USA, January 31 - February 2, 2018, 2018)

Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas - Andrei Ionita; André Pomp; Michael Cochez; Tobias Meisen; Stefan Decker (Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018, Novi Sad, Serbia, June 25-27, 2018, 2018)

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

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)

A Data-based Method for Industrial Big Data Project Prioritization - Felix Kuschicke; Thomas Thiele; Tobias Meisen; Sabina Jeschke (Proceedings of the International Conference on Big Data and Internet of Things, London, United Kingdom, December 20-22, 2017, 2017)

Enabling Semantics in Enterprises - André Pomp; Alexander Paulus; Sabina Jeschke; Tobias Meisen (Enterprise Information Systems - 19th International Conference, ICEIS 2017, Porto, Portugal, April 26-29, 2017, Revised Selected Papers, 2017)

ESKAPE: Information Platform for Enabling Semantic Data Processing - André Pomp; Alexander Paulus; Sabina Jeschke; Tobias Meisen (ICEIS 2017 - Proceedings of the 19th International Conference on Enterprise Information Systems, Volume 2, Porto, Portugal, April 26-29, 2017, 2017)

Cyber-Physical Production Systems: A Teaching Concept in Engineering Education - Daniela Antkowiak; Daniel Lütticke; Tristan Langer; Thomas Thiele; Tobias Meisen; Sabina Jeschke (6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017, Hamamatsu, Japan, July 9-13, 2017, 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 (2017 ITU Kaleidoscope: Challenges for a Data-Driven Society, Nanjing, China, November 27-29, 2017, 2017)

OPC UA Based ERP Agents: Enabling Scalable Communication Solutions in Heterogeneous Automation Environments - Max Hoffmann; Tobias Meisen; Sabina Jeschke (Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection - 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings, 2017)

ESKAPE: Platform for Enabling Semantics in the Continuously Evolving Internet of Things - André Pomp; Alexander Paulus; Sabina Jeschke; Tobias Meisen (11th IEEE International Conference on Semantic Computing, ICSC 2017, San Diego, CA, USA, January 30 - February 1, 2017, 2017)

Language therapy of aphasia supported by augmented reality applications - Daniela Antkowiak; Christian Kohlschein; Roksaneh Krooß; Maximilian Speicher; Tobias Meisen; Sabina Jeschke; Cornelius J. Werner (18th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2016, Munich, Germany, September 14-16, 2016, 2016)

Semantic integration of multi-agent systems using an OPC UA information modeling approach - Max Hoffmann; Philipp Thomas; Daniel Schütz; Birgit Vogel-Heuser; Tobias Meisen; Sabina Jeschke (14th IEEE International Conference on Industrial Informatics, INDIN 2016, Poitiers, France, July 19-21, 2016, 2016)

Enhancing the Learning Success of Engineering Students by Virtual Experiments - Max Hoffmann; Lana Plumanns; Laura Lenz; Katharina Schuster; Tobias Meisen; Sabina Jeschke (Learning and Collaboration Technologies - Second International Conference, LCT 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings, 2015)

AUDIME: Augmented disaster medicine - Alexander Paulus; Philipp Meisen; Tobias Meisen; Sabina Jeschke; Michael Czaplik; Frederik Hirsch (17th International Conference on E-health Networking, Application & Services, HealthCom 2015, Boston, MA, USA, October 14-17, 2015, 2015)

Querying Time Interval Data - Philipp Meisen; Diane Keng; Tobias Meisen; Marco Recchioni; Sabina Jeschke (Enterprise Information Systems - 17th International Conference, ICEIS 2015, Barcelona, Spain, April 27-30, 2015, Revised Selected Papers, 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 2015 - Proceedings of the 17th International Conference on Enterprise Information Systems, Volume 1, Barcelona, Spain, 27-30 April, 2015, 2015)

Bitmap-Based On-line Analytical Processing of Time Interval Data - Philipp Meisen; Diane Keng; Tobias Meisen; Marco Recchioni; Sabina Jeschke (12th International Conference on Information Technology - New Generations, ITNG 2015, Las Vegas, NV, USA, April 13-15, 2015, 2015)

Modeling and processing of time interval data for data-driven decision support - Philipp Meisen; Marco Recchioni; Tobias Meisen; Daniel Schilberg; Sabina Jeschke (2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, San Diego, CA, USA, October 5-8, 2014, 2014)

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

Virtual Production Intelligence - A Contribution to the Digital Factory - Rudolf Reinhard; Christian Büscher; Tobias Meisen; Daniel Schilberg; Sabina Jeschke (Intelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Montreal, Canada, October 3-5, 2012, Proceedings, Part I, 2012)

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)

Application Integration of Simulation Tools Considering Domain Specific Knowledge - Tobias Meisen; Philipp Meisen; Daniel Schilberg; Sabina Jeschke (ICEIS 2011 - Proceedings of the 13th International Conference on Enterprise Information Systems, Volume 1, Beijing, China, 8-11 June, 2011, 2011)

Adaptive Information Integration: Bridging the Semantic Gap between Numerical Simulations - Tobias Meisen; Philipp Meisen; Daniel Schilberg; Sabina Jeschke (Enterprise Information Systems - 13th International Conference, ICEIS 2011, Beijing, China, June 8-11, 2011, Revised Selected Papers, 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 (Advances in Visual Computing - 7th International Symposium, ISVC 2011, Las Vegas, NV, USA, September 26-28, 2011. Proceedings, Part II, 2011)

Efficient similarity search using the Earth Mover's Distance for large multimedia databases - Ira Assent; Marc Wichterich; Tobias Meisen; Thomas Seidl (Proceedings of the 24th International Conference on Data Engineering, ICDE 2008, April 7-12, 2008, Cancún, Mexico, 2008)