Tobias Meisen

Orcid: 0000-0002-1969-559X

According to our database1, Tobias Meisen authored at least 103 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Guided Exploration of Industrial Sensor Data.
Comput. Graph. Forum, February, 2024

CNNs Sparsification and Expansion for Continual Learning.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
A review on customer segmentation methods for personalized customer targeting in e-commerce use cases.
Inf. Syst. E Bus. Manag., September, 2023

<i>schlably</i>: A Python framework for deep reinforcement learning based scheduling experiments.
SoftwareX, May, 2023

Stop Guessing in the Dark: Identified Requirements for Digital Product Passport Systems.
Syst., March, 2023

TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior.
J. Theor. Appl. Electron. Commer. Res., 2023

Towards a Deep Learning-based Online Quality Prediction System for Welding Processes.
CoRR, 2023

Curriculum Learning in Job Shop Scheduling using Reinforcement Learning.
CoRR, 2023

schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments.
CoRR, 2023

SPACE_DS: Towards a Circular Economy Data Space.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

The PLASMA Framework: Laying the Path to Domain-Specific Semantics in Dataspaces.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Towards a Data Space for Interoperability of Analytic Provenance.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Extending PLASMA for Industrial Semantic Modeling.
Proceedings of the Second International Workshop on Semantic Industrial Information Modelling (SemIIM 2023) co-located with the 22nd International Semantic Web Conference (ISWC 2023), 2023

Filtering Recommender System for Semantic Model Refinement.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Simulation-to-Reality Transfer of a Two-Stage Deep Reinforcement Learning Controller for Autonomous Load Carrier Approaching.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2023

2022
Gideon Replay: A library to replay interactions in web-applications.
SoftwareX, 2022

Machine learning and deep learning based predictive quality in manufacturing: a systematic review.
J. Intell. Manuf., 2022

Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer.
J. Intell. Manuf., 2022

On reliability of reinforcement learning based production scheduling systems: a comparative survey.
J. Intell. Manuf., 2022

Survey on deep learning based computer vision for sonar imagery.
Eng. Appl. Artif. Intell., 2022

Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward.
Eng. Appl. Artif. Intell., 2022

VC-SLAM - A Handcrafted Data Corpus for the Construction of Semantic Models.
Data, 2022

Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments.
CoRR, 2022

DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs.
Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Using IoT Technology for the Skilled Crafts.
Proceedings of the Enterprise Information Systems - 24th International Conference, 2022

Towards Unlocking the Potential of the Internet of Things for the Skilled Crafts.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Using Node Embeddings to Generate Recommendations for Semantic Model Creation.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Gideon-TS: Efficient Exploration and Labeling of Multivariate Industrial Sensor Data.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data.
Proceedings of the Enterprise Information Systems - 24th International Conference, 2022

Predicting the Progress of Vehicle Development Projects using an Attention-based Encoder-Decoder Model.
Proceedings of the ICCTA 2022: 8th International Conference on Computer Technology Applications, Kapfenberg, Austria, May 12, 2022

Domain-independent Data-to-Text Generation for Open Data.
Proceedings of the 11th International Conference on Data Science, 2022

PLASMA: A Semantic Modeling Tool for Domain Experts.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DocSemMap 2.0: Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Autonomous Load Carrier Approaching Based on Deep Reinforcement Learning with Compressed Visual Information.
Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022

2021
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis.
Inf., 2021

Fleet Management Approach for Manufacturers displayed at the Use Case of Battery Electric Vehicles.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Recent Advances and Future Challenges of Semantic Modeling.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

Fault Detection in Railway Switches using Deformable Convolutional Neural Networks.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

Global Reward Design for Cooperative Agents to Achieve Flexible Production Control under Real-time Constraints.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

PLASMA: Platform for Auxiliary Semantic Modeling Approaches.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

Visual Analytics for Industrial Sensor Data Analysis.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

Manufacturing Control in Job Shop Environments with Reinforcement Learning.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter.
Proceedings of the 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, 2021

Applied Feature-oriented Project Life Cycle Classification.
Proceedings of the 10th International Conference on Data Science, 2021

A Semantic Data Marketplace for Easy Data Sharing within a Smart City.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails.
Proceedings of the 4th International Conference on Artificial Intelligence for Industries, 2021

2020
Towards NLP-supported Semantic Data Management.
CoRR, 2020

How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents.
CoRR, 2020

Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations.
CoRR, 2020

Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces.
Int. J. Artif. Intell. Tools, 2019

Ablation Studies in Artificial Neural Networks.
CoRR, 2019

Towards Utilizing Domain Expertise for Exploratory Data Analysis.
Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, 2019

More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Evaluation and Comparison of Cross-lingual Text Processing Pipelines.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

You are Missing a Concept! Enhancing Ontology-Based Data Access with Evolving Ontologies.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Industrial Transfer Learning: Boosting Machine Learning in Production.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Model to assess the Economic Profitability of Predictive Maintenance Projects.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

How To RAMI 4.0: Towards An Agent-based Information Management Architecture.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Towards an Infrastructure Enabling the Internet of Production.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

Enhancing Knowledge Graphs with Data Representatives.
Proceedings of the 21st International Conference on Enterprise Information Systems, 2019

Semantic Concept Recommendation for Continuously Evolving Knowledge Graphs.
Proceedings of the Enterprise Information Systems - 21st International Conference, 2019

Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems.
Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019

2018
Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process.
J. ICT Stand., 2018

Ablation of a Robot's Brain: Neural Networks Under a Knife.
CoRR, 2018

Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas.
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Towards Combining Semantic Concepts from Multiple Knowledge Bases.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Design of an Automated Measuring System for RFID Transponders in Complex Environments.
Proceedings of the IEEE International Conference on RFID Technology & Application, 2018

STIDes Revisited - Tackling Global Time Shifts and Scaling.
Proceedings of the 2018 International Conference on Innovations in Information Technology (IIT), 2018

Recommending Semantic Concepts for Improving the Process of Semantic Modeling.
Proceedings of the Enterprise Information Systems - 20th International Conference, 2018

Gathering and Combining Semantic Concepts from Multiple Knowledge Bases.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018

An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018

A Web-based UI to Enable Semantic Modeling for Everyone.
Proceedings of the 14th International Conference on Semantic Systems, 2018

An Extensible Semantic Search Engine for Biomedical Publications.
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

Similarity Recognition of Interval-Based Sleep Data.
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

2017
Improving the laser cutting process design by machine learning techniques.
Prod. Eng., 2017

ESKAPE: Platform for Enabling Semantics in the Continuously Evolving Internet of Things.
Proceedings of the 11th IEEE International Conference on Semantic Computing, 2017

OPC UA Based ERP Agents: Enabling Scalable Communication Solutions in Heterogeneous Automation Environments.
Proceedings of the Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection, 2017

Advanced data enrichment and data analysis in manufacturing industry by an example of laser drilling process.
Proceedings of the 2017 ITU Kaleidoscope: Challenges for a Data-Driven Society, 2017

Cyber-Physical Production Systems: A Teaching Concept in Engineering Education.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

Enabling Semantics in Enterprises.
Proceedings of the Enterprise Information Systems - 19th International Conference, 2017

ESKAPE: Information Platform for Enabling Semantic Data Processing.
Proceedings of the ICEIS 2017, 2017

A Data-based Method for Industrial Big Data Project Prioritization.
Proceedings of the International Conference on Big Data and Internet of Things, 2017

2016
Semantic integration of multi-agent systems using an OPC UA information modeling approach.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Language therapy of aphasia supported by augmented reality applications.
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016

2015
Bitmap-Based On-line Analytical Processing of Time Interval Data.
Proceedings of the 12th International Conference on Information Technology, 2015

Querying Time Interval Data.
Proceedings of the Enterprise Information Systems - 17th International Conference, 2015

TIDAQL - A Query Language Enabling on-Line Analytical Processing of Time Interval Data.
Proceedings of the ICEIS 2015, 2015

AUDIME: Augmented disaster medicine.
Proceedings of the 17th International Conference on E-health Networking, 2015

Enhancing the Learning Success of Engineering Students by Virtual Experiments.
Proceedings of the Learning and Collaboration Technologies, 2015

2014
Modeling and processing of time interval data for data-driven decision support.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Virtuelle Produktion - Die Virtual Production Intelligence im Einsatz.
Proceedings of the Exploring Virtuality - Virtualität im interdisziplinären Diskurs, 2014

2012
Virtual Production Intelligence - A Contribution to the Digital Factory.
Proceedings of the Intelligent Robotics and Applications - 5th International Conference, 2012

2011
The virtual production simulation platform: from collaborative distributed simulation to integrated visual analysis.
Prod. Eng., 2011

A Multi Level Time Model for Interactive Multiple Dataset Visualization: The Dataset Sequencer.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

Adaptive Information Integration: Bridging the Semantic Gap between Numerical Simulations.
Proceedings of the Enterprise Information Systems - 13th International Conference, 2011

Application Integration of Simulation Tools Considering Domain Specific Knowledge.
Proceedings of the ICEIS 2011, 2011

2008
Efficient similarity search using the Earth Mover's Distance for large multimedia databases.
Proceedings of the 24th International Conference on Data Engineering, 2008


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