Tobias Meisen
Orcid: 0000-0002-1969-559X
According to our database1,
Tobias Meisen
authored at least 119 papers
between 2008 and 2024.
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Bibliography
2024
It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation.
J. Theor. Appl. Electron. Commer. Res., March, 2024
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem.
CoRR, 2024
Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings.
CoRR, 2024
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation.
CoRR, 2024
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling.
CoRR, 2024
Navigating the Depths: A Comprehensive Survey of Deep Learning for Passive Underwater Acoustic Target Recognition.
IEEE Access, 2024
Proceedings of the Second International Workshop on Semantics in Dataspaces (SDS 2024) co-located with the 21st Extended Semantic Web Conference (ESWC 2024), 2024
Proceedings of the The 2nd International Workshop on Knowledge Graphs for Sustainability (KG4S 2024) colocated with the 21st Extended Semantic Web Conference (ESWC 2024), 2024
Researchers' Concerns on Artificial Intelligence Ethics: Results from a Scenario-Based Survey.
Proceedings of the 7th ACM/IEEE International Workshop on Software-intensive Business, 2024
Advancing Industry 4.0: Integrating Data Governance into Asset Administration Shell for Enhanced Interoperability.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Quality Prediction in Arc Welding: Leveraging Transformer Models and Discrete Representations from Vector Quantised-VAE.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Towards Precision in Motion: Investigating the Influences of Curriculum Learning based on a Multi-Purpose Performance Metric for Vision-Based Forklift Navigation.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 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
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments.
CoRR, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
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
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
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
Eng. Appl. Artif. Intell., 2022
Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward.
Eng. Appl. Artif. Intell., 2022
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
Proceedings of the Enterprise Information Systems - 24th International Conference, 2022
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022
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
Proceedings of the 11th International Conference on Data Science, 2022
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
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
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021
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
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021
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
Proceedings of the 10th International Conference on Data Science, 2021
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
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
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
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
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019
Proceedings of the 21st International Conference on Enterprise Information Systems, 2019
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
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018
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
Proceedings of the 2018 International Conference on Innovations in Information Technology (IIT), 2018
Proceedings of the Enterprise Information Systems - 20th International Conference, 2018
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
Proceedings of the 14th International Conference on Semantic Systems, 2018
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018
2017
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
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017
Proceedings of the Enterprise Information Systems - 19th International Conference, 2017
Proceedings of the ICEIS 2017, 2017
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
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016
2015
Proceedings of the 12th International Conference on Information Technology, 2015
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
Proceedings of the 17th International Conference on E-health Networking, 2015
Proceedings of the Learning and Collaboration Technologies, 2015
2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the Exploring Virtuality - Virtualität im interdisziplinären Diskurs, 2014
2012
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