@inproceedings{KnollmeyerCaymazerKovaletal.2024, author = {Knollmeyer, Simon and Caymazer, Oğuz and Koval, Leonid and Akmal, Muhammad Uzair and Asif, Saara and Mathias, Selvine George and Großmann, Daniel}, title = {Benchmarking of Retrieval Augmented Generation: A Comprehensive Systematic Literature Review on Evaluation Dimensions, Evaluation Metrics and Datasets}, booktitle = {Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2024) - Volume 3}, editor = {Gruenwald, Le and Masciari, Elio and Bernardino, Jorge}, publisher = {SciTePress}, address = {Set{\´u}bal}, isbn = {978-989-758-716-0}, doi = {https://doi.org/10.5220/0013065700003838}, pages = {137 -- 148}, year = {2024}, abstract = {Despite the rapid advancements in the field of Large Language Models (LLM), traditional benchmarks have proven to be inadequate for assessing the performance of Retrieval Augmented Generation (RAG) systems. Therefore, this paper presents a comprehensive systematic literature review of evaluation dimensions, metrics, and datasets for RAG systems. This review identifies key evaluation dimensions such as context relevance, faithfulness, answer relevance, correctness, and citation quality. For each evaluation dimension, several metrics and evaluators are proposed on how to assess them. This paper synthesizes the findings from 12 relevant papers and presents a concept matrix that categorizes each evaluation approach. The results provide a foundation for the development of robust evaluation frameworks and suitable datasets that are essential for the effective implementation and deployment of RAG systems in real-world applications.}, language = {en} } @inproceedings{ThakurBeckMostaghimetal.2022, author = {Thakur, Akshay and Beck, Robert and Mostaghim, Sanaz and Großmann, Daniel and Kuttler, Moritz}, title = {Prediction of Top Key Performance Indicator in Automotive Production System using Data Mining}, booktitle = {WCSE 2022 Spring Event: Proceedings of 2022 9th International Conference on Industrial Engineering and Applications}, editor = {Tang, Loon-Ching}, publisher = {SCIEI}, address = {Rowland Heights}, isbn = {978-981-18-5852-9}, doi = {https://doi.org/10.18178/wcse.2022.04.079}, pages = {675 -- 684}, year = {2022}, language = {en} } @inproceedings{MuellerGrossmannSchmiedetal.2021, author = {Mueller, Ralph and Großmann, Daniel and Schmied, Sebastian and Mathias, Selvine George}, title = {Architecture of a model in the middle approach for virtual commissioning and integration of production entities}, booktitle = {Proceedings: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-2989-1}, doi = {https://doi.org/10.1109/ETFA45728.2021.9613619}, year = {2021}, language = {en} } @inproceedings{SchmiedGrossmannMathiasetal.2021, author = {Schmied, Sebastian and Großmann, Daniel and Mathias, Selvine George and Mueller, Ralph}, title = {A concept towards the evolution and versioning of aggregated information models}, booktitle = {Proceedings: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-2989-1}, doi = {https://doi.org/10.1109/ETFA45728.2021.9613193}, year = {2021}, language = {en} } @inproceedings{ThakurBeckMostaghimetal.2020, author = {Thakur, Akshay and Beck, Robert and Mostaghim, Sanaz and Großmann, Daniel}, title = {Survey into predictive key performance indicator analysis from data mining perspective}, booktitle = {Proceedings 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-8956-7}, doi = {https://doi.org/10.1109/ETFA46521.2020.9212111}, pages = {476 -- 483}, year = {2020}, language = {en} } @inproceedings{MathiasGrossmannSchmiedetal.2022, author = {Mathias, Selvine George and Großmann, Daniel and Schmied, Sebastian and Mueller, Ralph}, title = {Decentralized Integration Approach of Disjoint Modules in Factory Environments}, booktitle = {IEIM 2022: 2022 The 3rd International Conference on Industrial Engineering and Industrial Management}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-9569-4}, doi = {https://doi.org/10.1145/3524338.3524368}, pages = {195 -- 199}, year = {2022}, language = {en} } @inproceedings{MuellerGrossmannSchmied2022, author = {Mueller, Ralph and Großmann, Daniel and Schmied, Sebastian}, title = {Information model-based virtual commissioning for the testing and co-simulation of real production entities}, booktitle = {IEIM 2022: 2022 The 3rd International Conference on Industrial Engineering and Industrial Management}, subtitle = {Enabling of a logic for the virtual commissioning of information models using middleware technologies}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-4503-9569-4}, doi = {https://doi.org/10.1145/3524338.3524380}, pages = {271 -- 276}, year = {2022}, language = {en} } @inproceedings{KampaMuellerGrossmann2022, author = {Kampa, Thomas and M{\"u}ller, Christian Klaus and Großmann, Daniel}, title = {IP-based Architecture for an Edge Cloud enabled Factory}, booktitle = {2022 IEEE 18th International Conference on Factory Communication Systems (WFCS)}, subtitle = {Concept and Requirements}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-1086-1}, doi = {https://doi.org/10.1109/WFCS53837.2022.9779162}, year = {2022}, language = {en} } @inproceedings{AmbrosyKampaJumaretal.2022, author = {Ambrosy, Niklas and Kampa, Thomas and Jumar, Ulrich and Großmann, Daniel}, title = {5G and DetNet: Towards holistic determinism in industrial networks}, booktitle = {2022 IEEE International Conference on Industrial Technology (ICIT)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-72811-948-9}, doi = {https://doi.org/10.1109/ICIT48603.2022.10002776}, year = {2022}, language = {en} } @inproceedings{MirandaCabralBanerjeeetal.2017, author = {Miranda, Jorge and Cabral, Jorge and Banerjee, Suprateek and Großmann, Daniel and Fischer Pedersen, Christian and Wagner, Stefan}, title = {Analysis of OPC unified architecture for healthcare applications}, booktitle = {ETFA'2017: IEEE 22nd International Conference on Emerging Technologies \& Factory Automation}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-5090-6505-9}, doi = {https://doi.org/10.1109/ETFA.2017.8247771}, year = {2017}, language = {en} } @inproceedings{BanerjeeGrossmann2016, author = {Banerjee, Suprateek and Großmann, Daniel}, title = {An Electronic Device Description Language based approach for communication with dbms and file system in an industrial automation scenario}, booktitle = {ETFA'2016: 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-5090-1314-2}, doi = {https://doi.org/10.1109/ETFA.2016.7733682}, year = {2016}, language = {en} } @inproceedings{GrossmannBregullaBanerjeeetal.2014, author = {Großmann, Daniel and Bregulla, Markus and Banerjee, Suprateek and Schulz, Dirk and Braun, Roland}, title = {OPC UA server aggregation — The foundation for an internet of portals}, booktitle = {ETFA'2014: 19th IEEE International Conference on Emerging Technologies and Factory Automation}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-4799-4846-8}, doi = {https://doi.org/10.1109/ETFA.2014.7005354}, year = {2014}, language = {en} } @inproceedings{MathiasGrossmannSequeira2019, author = {Mathias, Selvine George and Großmann, Daniel and Sequeira, Gerald Joy}, title = {A Comparison of Clustering Measures on Raw Signals of Welding Production Data}, booktitle = {Proceedings 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-2914-3}, doi = {https://doi.org/10.1109/Deep-ML.2019.00019}, pages = {55 -- 60}, year = {2019}, language = {en} } @inproceedings{SchmiedGrossmannDenk2019, author = {Schmied, Sebastian and Großmann, Daniel and Denk, Bastian}, title = {A systematic top-down information modelling approach for workshop-type manufacturing systems}, booktitle = {Proceedings 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0303-7}, doi = {https://doi.org/10.1109/ETFA.2019.8869377}, pages = {1305 -- 1308}, year = {2019}, language = {en} } @inproceedings{MathiasSchmiedGrossmann2020, author = {Mathias, Selvine George and Schmied, Sebastian and Großmann, Daniel}, title = {Monitoring of discrete electrical signals from welding processes using data mining and IIoT approaches}, booktitle = {Proceedings, IEEE 32nd International Conference on Tools with Artificial Intelligence, (ICTAI 2020)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-9228-4}, doi = {https://doi.org/10.1109/ICTAI50040.2020.00142}, pages = {911 -- 916}, year = {2020}, language = {en} } @inproceedings{SchmiedGrossmannMathiasetal.2020, author = {Schmied, Sebastian and Großmann, Daniel and Mathias, Selvine George and Mueller, Ralph}, title = {An approach for aggregation and historicization of production entities in the graph}, booktitle = {Proceedings 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-8956-7}, doi = {https://doi.org/10.1109/ETFA46521.2020.9211907}, pages = {1107 -- 1110}, year = {2020}, language = {en} } @inproceedings{MuellerGrossmannSchmiedetal.2020, author = {Mueller, Ralph and Großmann, Daniel and Schmied, Sebastian and Mathias, Selvine George}, title = {Validation of dynamic interoperability and virtual commissioning of production equipment in early development stages}, booktitle = {Proceedings 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-8956-7}, doi = {https://doi.org/10.1109/ETFA46521.2020.9211988}, pages = {1159 -- 1162}, year = {2020}, language = {en} } @inproceedings{MathiasSchmiedGrossmannetal.2020, author = {Mathias, Selvine George and Schmied, Sebastian and Großmann, Daniel and Mueller, Ralph and Mroß, Bj{\"o}rn}, title = {A Compliance Testing Structure for Implementation of Industry Standards through OPC UA}, booktitle = {Proceedings 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-8956-7}, doi = {https://doi.org/10.1109/ETFA46521.2020.9212119}, pages = {1091 -- 1094}, year = {2020}, language = {en} } @inproceedings{ThakurBeckMostaghimetal.2020, author = {Thakur, Akshay and Beck, Robert and Mostaghim, Sanaz and Großmann, Daniel}, title = {Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study}, booktitle = {Proceedings: 2020 IEEE 7th International Conference on Data Science and Advanced Analytics: DSAA 2020}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-8206-3}, doi = {https://doi.org/10.1109/DSAA49011.2020.00114}, pages = {781 -- 782}, year = {2020}, language = {en} } @inproceedings{SchmiedGrossmannMathiasetal.2020, author = {Schmied, Sebastian and Großmann, Daniel and Mathias, Selvine George and Banerjee, Suprateek}, title = {Vertical integration via dynamic aggregation of information in OPC UA}, booktitle = {Intelligent Information and Database Systems}, publisher = {Springer}, address = {Singapur}, isbn = {978-981-15-3379-2}, issn = {1865-0929}, doi = {https://doi.org/10.1007/978-981-15-3380-8_18}, pages = {204 -- 215}, year = {2020}, language = {en} } @inproceedings{BanerjeeGrossmann2019, author = {Banerjee, Suprateek and Großmann, Daniel}, title = {OPC UA and Dynamic Web Services - A generic flexible Industrial Communication Approach}, booktitle = {ICCAE 2019: Proceedings of the 2019 11th International Conference on Computer and Automation Engineering}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-6287-0}, doi = {https://doi.org/10.1145/3313991.3313996}, pages = {114 -- 117}, year = {2019}, language = {en} } @inproceedings{MathiasManchaGrossmannetal.2021, author = {Mathias, Selvine George and Mancha, Mathew John and Großmann, Daniel and Kujat, Bernd and Schiebold, Kay}, title = {Investigations on numerical techniques for detecting variations in acoustic emissions}, booktitle = {IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society}, publisher = {IEEE}, address = {Piscataway (NJ)}, isbn = {978-1-6654-3554-3}, doi = {https://doi.org/10.1109/IECON48115.2021.9589074}, year = {2021}, language = {en} } @inproceedings{SchmiedGrossmannMathiasetal.2020, author = {Schmied, Sebastian and Großmann, Daniel and Mathias, Selvine George and Mueller, Ralph}, title = {An approach for an industrial information model management}, booktitle = {Proceedings, 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-6389-5}, doi = {https://doi.org/10.1109/ICPS48405.2020.9274751}, pages = {402 -- 405}, year = {2020}, language = {en} } @inproceedings{KampaElAnkahGrossmann2023, author = {Kampa, Thomas and El-Ankah, Amer and Großmann, Daniel}, title = {High Availability for virtualized Programmable Logic Controllers with Hard Real-Time Requirements on Cloud Infrastructures}, booktitle = {2023 IEEE 21st International Conference on Industrial Informatics (INDIN)}, editor = {D{\"o}rksen, Helene and Scanzio, Stefano and Jasperneite, J{\"u}rgen and Wisniewski, Lukasz and Man, Kim Fung and Sauter, Thilo and Seno, Lucia and Trsek, Henning and Vyatkin, Valeriy}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-9313-0}, doi = {https://doi.org/10.1109/INDIN51400.2023.10218014}, year = {2023}, language = {en} } @inproceedings{KnollmeyerMrossMuelleretal.2023, author = {Knollmeyer, Simon and Mroß, Bj{\"o}rn and Mueller, Ralph and Großmann, Daniel}, title = {Ontology based knowledge graph for information and knowledge management in factory planning}, booktitle = {2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-3991-8}, doi = {https://doi.org/10.1109/ETFA54631.2023.10275409}, year = {2023}, language = {en} } @inproceedings{KampaGrossmann2023, author = {Kampa, Thomas and Großmann, Daniel}, title = {Half\&Half: Intra-Flow Load Balancing and High Availability for Edge Cloud-enabled Manufacturing}, booktitle = {2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-3991-8}, doi = {https://doi.org/10.1109/ETFA54631.2023.10275483}, year = {2023}, language = {en} } @inproceedings{MathiasGrossmann2021, author = {Mathias, Selvine George and Großmann, Daniel}, title = {Efficacy of Statistical Formulations on Acoustic Emission Signals for Tool Wear Predictions}, booktitle = {Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL}, publisher = {SciTePress}, address = {Set{\´u}bal}, isbn = {978-989-758-535-7}, doi = {https://doi.org/10.5220/0010676400003062}, pages = {108 -- 115}, year = {2021}, abstract = {Acoustic emission (AE) signals obtained during machining processes can be used to detect, locate and assess flaws in structures made of metal, concrete or composites. This paper aims to characterize AE signals using derived parameters from raw signatures along with statistical feature extractions to correlate with tool wear readings. Missing tool wear values are imputed using domain knowledge rules and compared to AE signals using machine learning models. The amount of effect on tool wear is formulated using Bayesian Inferences on derived parameters such as areas under the raw signal curve in addition to comparisons with the supervised models for predictions. Using the constructed models and formulation, the presented study also includes a trace-back pseudo-algorithm for determining the stage in process where tool wear values begin to approach the wear limits.}, language = {en} } @inproceedings{AkmalAsifKovaletal.2025, author = {Akmal, Muhammad Uzair and Asif, Saara and Koval, Leonid and Mathias, Selvine George and Knollmeyer, Simon and Großmann, Daniel}, title = {Layered Data-Centric AI to Streamline Data Quality Practices for Enhanced Automation}, booktitle = {Artificial Intelligence: Methodology, Systems, and Applications: 19th International Conference, AIMSA 2024, Varna, Bulgaria, September 18-20, 2024, Proceedings}, editor = {Koprinkova-Hristova, Petia and Kasabov, Nikola}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-81542-3}, doi = {https://doi.org/10.1007/978-3-031-81542-3_11}, pages = {128 -- 142}, year = {2025}, language = {en} } @inproceedings{MathiasAsifAkmaletal.2025, author = {Mathias, Selvine George and Asif, Saara and Akmal, Muhammad Uzair and Knollmeyer, Simon and Koval, Leonid and Großmann, Daniel}, title = {Industrial Image Grouping Through Pre-Trained CNN Encoder-Based Feature Extraction and Sub-Clustering}, booktitle = {Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) - Volume 2}, editor = {Rocha, Ana Paula and Steels, Luc and van den Herik, Jaap}, publisher = {SciTePress}, address = {Set{\´u}bal}, isbn = {978-989-758-737-5}, doi = {https://doi.org/10.5220/0013189000003890}, pages = {496 -- 506}, year = {2025}, abstract = {A common challenge faced by many industries today is the classification of unlabeled image data from production processes into meaningful groups or patterns for better documentation and analysis. This paper presents a sequential approach for leveraging industrial image data to identify patterns in products or processes for plant floor operators. The dataset used is sourced from steel production, and the model architecture integrates feature reduction through convolutional neural networks (CNNs) like VGG, EfficientNet, and ResNet, followed by clustering algorithms to assign appropriate labels to the observed data. The model's selection criteria combine clustering metrics, including entropy minimization and silhouette score maximization. Once primary clusters are identified, sub-clustering is performed using near-labels, which are pre-assigned to images with initial distinctions. A novel metric, C-Score, is introduced to assess cluster convergence and grouping accuracy. Experimental re sults demonstrate that this method can address challenges in detecting variations across images, improving pattern recognition and classification.}, language = {en} } @inproceedings{KnollmeyerAkmalKovaletal.2024, author = {Knollmeyer, Simon and Akmal, Muhammad Uzair and Koval, Leonid and Asif, Saara and Mathias, Selvine George and Großmann, Daniel}, title = {Document Knowledge Graph to Enhance Question Answering with Retrieval Augmented Generation}, booktitle = {2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)}, editor = {Facchinetti, Tullio and Cenedese, Angelo and Lo Bello, Lucia and Vitturi, Stefano and Sauter, Thilo and Tramarin, Federico}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-6123-0}, doi = {https://doi.org/10.1109/ETFA61755.2024.10711054}, year = {2024}, language = {en} } @inproceedings{AsifAkmalKovaletal.2024, author = {Asif, Saara and Akmal, Muhammad Uzair and Koval, Leonid and Knollmeyer, Simon and Mathias, Selvine George and Großmann, Daniel}, title = {Supervised Anomaly Detection for Production Line Images using Data Augmentation and Convolutional Neural Network}, booktitle = {2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)}, editor = {Facchinetti, Tullio and Cenedese, Angelo and Lo Bello, Lucia and Vitturi, Stefano and Sauter, Thilo and Tramarin, Federico}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-6123-0}, doi = {https://doi.org/10.1109/ETFA61755.2024.10710718}, year = {2024}, language = {en} } @inproceedings{FleischmannFriedlGrossmannetal.2021, author = {Fleischmann, Albert and Friedl, Anton and Großmann, Daniel and Schmidt, Werner}, title = {Modeling and implementing of industrie 4.0 scenarios}, booktitle = {Modelling to Program}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-72695-9}, issn = {1865-0929}, doi = {https://doi.org/10.1007/978-3-030-72696-6_4}, pages = {90 -- 112}, year = {2021}, language = {en} } @inproceedings{KovalAkmalAsifetal.2025, author = {Koval, Leonid and Akmal, Muhammad Uzair and Asif, Saara and Mathias, Selvine George and Knollmeyer, Simon and Großmann, Daniel}, title = {Optimizing AI-Driven Production in Industry 4.0: A Morphological Box and Taxonomy Approach}, booktitle = {2025 International Conference on Computer Technology Applications (ICCTA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3315-1265-1}, doi = {https://doi.org/10.1109/ICCTA65425.2025.11166106}, pages = {272 -- 278}, year = {2025}, language = {en} } @inproceedings{KovalAkmalAsifetal.2024, author = {Koval, Leonid and Akmal, Muhammad Uzair and Asif, Saara and Mathias, Selvine George and Knollmeyer, Simon and Großmann, Daniel}, title = {Addressing the complexity of AI Integration in Manufacturing: A Morphological Analysis}, booktitle = {2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)}, editor = {Facchinetti, Tullio and Cenedese, Angelo and Lo Bello, Lucia and Vitturi, Stefano and Sauter, Thilo and Tramarin, Federico}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-6123-0}, doi = {https://doi.org/10.1109/ETFA61755.2024.10711011}, year = {2024}, language = {en} } @inproceedings{AsifAkmalKovaletal.2024, author = {Asif, Saara and Akmal, Muhammad Uzair and Koval, Leonid and Mathias, Selvine George and Knollmeyer, Simon and Großmann, Daniel}, title = {A Conceptual Framework for Addressing Class Imbalance in Image Data: Challenges and Strategies}, booktitle = {2024 IEEE 12th International Conference on Intelligent Systems (IS): Proceedings}, editor = {Sgurev, Vassil and Jotsov, Vladimir and Piuri, Vincenzo and Doukovska, Luybka and Yoshinov, Radoslav}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-5098-2}, doi = {https://doi.org/10.1109/IS61756.2024.10705251}, year = {2024}, language = {en} } @inproceedings{KovalWaechterErdoganetal.2025, author = {Koval, Leonid and W{\"a}chter, Sonja and Erdogan, H{\"u}seyin and Großmann, Daniel}, title = {Ontology-Driven Modeling and Integration of Production Processes in Advanced Driver-Assistance Systems within the Gaia-X Ecosystem}, booktitle = {2025 11th International Conference on Computer Technology Applications (ICCTA 2025)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3315-1265-1}, doi = {https://doi.org/10.1109/ICCTA65425.2025.11166225}, pages = {211 -- 216}, year = {2025}, language = {en} } @inproceedings{NowackiMuellerGrossmannetal.2023, author = {Nowacki, Natalie Samanta and Mueller, Ralph and Großmann, Daniel and Lueder, Arndt}, title = {Approach for identifying data usage information objects for the later implementation in production environments}, booktitle = {2023 The 10th International Conference on Industrial Engineering and Applications (Europe), ICIEA-EU 2023}, subtitle = {Enabling a logic for the information modelling based on use cases using a conversation concept}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-9852-7}, doi = {https://doi.org/10.1145/3587889.3587915}, pages = {169 -- 175}, year = {2023}, language = {en} } @inproceedings{MathiasAkmalAsifetal.2025, author = {Mathias, Selvine George and Akmal, Muhammad Uzair and Asif, Saara and Knollmeyer, Simon and Koval, Leonid and Grossmann, Daniel}, title = {Handling Anonymized Non-numerical Features in Data Using Transformations for Regression Models}, booktitle = {Artificial Intelligence Applications and Innovations: 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part III}, editor = {Maglogiannis, Ilias and Iliadis, Lazaros and Andreou, Andreas and Papaleonidas, Antonios}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-96231-8}, doi = {https://doi.org/10.1007/978-3-031-96231-8_8}, pages = {99 -- 111}, year = {2025}, language = {en} } @inproceedings{AkmalMathiasAsifetal.2025, author = {Akmal, Muhammad Uzair and Mathias, Selvine George and Asif, Saara and Koval, Leonid and Knollmeyer, Simon and Großmann, Daniel}, title = {Humanizing AI: A Human-Centered Architecture to Developing Trustworthy Intelligent Systems}, booktitle = {CS \& IT Conference Proceedings}, publisher = {AIRCC}, address = {[s. l.]}, isbn = {978-1-923107-57-1}, url = {https://www.csitcp.com/abstract/15/158csit03}, pages = {27 -- 44}, year = {2025}, language = {en} }