TY - CHAP A1 - Kloock, Joachim P. A1 - Moreno, Lia A1 - Huachupoma, S. A1 - Xu, J. A1 - Wagner, Torsten A1 - Bratov, A. A1 - Doll, T. A1 - Vlasov, Y. A1 - Schöning, Michael Josef ED - Gerlach, Gerald T1 - Halbleiterbasierte Schwermetallsensorik auf der Basis von Chalkogenidgläsern für zukünftige „Lab on Chip“-Anwendungen T2 - 7. Dresdner Sensor-Symposium - Neue Herausforderungen und Anwendungen in der Sensortechnik Y1 - 2005 SN - 3-938863-29-3 SP - 221 EP - 224 PB - TUDpress, Verl. der Wissenschaften CY - Dresden ER - TY - JOUR A1 - Kloock, Joachim P. A1 - Mourzina, Y. A1 - Schubert, J. A1 - Ermelenko, Y. A1 - Schöning, Michael Josef T1 - Pulsed laser deposition: A tool for fabricating thin-film microsensors JF - Biomedizinische Technik. 49 (2004), H. 2 Y1 - 2004 SN - 0932-4666 SP - 1032 EP - 1033 ER - TY - JOUR A1 - Kloock, Joachim P. A1 - Mourzina, Y.G. A1 - Ermolenko, Y. A1 - Doll, T. A1 - Schubert, J. A1 - Schöning, Michael Josef T1 - Inorganic thin-film sensor membranes with PLD-prepared chalcogenide glasses: Challenges and implementation JF - Sensors. 4 (2004), H. 10 Y1 - 2004 SN - 1424-8220 SP - 156 EP - 162 ER - TY - JOUR A1 - Kloock, Joachim P. A1 - Mourzina, Y.G. A1 - Yoshinobu, T. A1 - Schubert, J. A1 - Schöning, Michael Josef T1 - Chalkogenidglassensoren für die Schwermetallanalytik JF - Sensoren und Mess-Systeme : Vorträge der 11. ITG/GMA-Fachtagung vom 11. bis 12. März 2002 in Ludwigsburg / Veranst.: Informationstechnische Gesellschaft im VDE (ITG) ... Wiss. Tagungsleitung: C. D. Kohl .... Y1 - 2002 SN - 3-8007-2675-0 N1 - Sensoren und Mess-Systeme 2002 SP - 395 EP - 398 PB - VDE-Verl. CY - Berlin [u.a.] ER - TY - JOUR A1 - Kloock, Joachim P. A1 - Poghossian, Arshak A1 - Schumacher, K. A1 - Rosenkranz, C. A1 - Schultze, J. W. A1 - Müller-Veggian, Mattea A1 - Schöning, Michael Josef T1 - Funktionsprüfung und Charakterisierung von ionensensitiven Feldeffekttransistoren (ISFETs) auf Waferebene mittels Mikrotropfenzelle für den zukünftigen Einsatz in der Sensorproduktion JF - Sensoren und Messsysteme 2006 : Vorträge der 13. ITG/GMA-Fachtagung vom 13. bis 14. März 2006 in Freiburg/Breisgau / Veranst.: Informationstechnische Gesellschaft im VDE (ITG) ; VDE/VDI-Gesellschaft Mess- und Automatisierungstechnik (GMA). Wiss. Tagungsleitung: L. M. Reindl Y1 - 2006 SN - 3-8007-2939-3 N1 - Fachtagung Sensoren und Messsysteme <13, 2006, Freiburg, Breisgau> SP - 257 EP - 260 PB - VDE-Verl. CY - Berlin ER - TY - CHAP A1 - Kloock, Joachim P. A1 - Schubert, J. A1 - Ermelenko, Y. A1 - Vlasov, Y. G. A1 - Bratov, A. A1 - Schöning, Michael Josef T1 - Thin-film sensors with chalcogenide glass materials – a general survey T2 - Biochemical sensing utilisation of micro- and nanotechnologies : Warsaw, [23rd - 26th] November 2005 / ed. by M. Mascini ... Y1 - 2006 SP - 92 EP - 97 CY - Warsaw ER - TY - CHAP A1 - Kloock, Joachim P. A1 - Schöning, Michael Josef T1 - Heavy metal detection with semiconductor devices based on PLD-prepared chalcogenide glass thin films T2 - Armenian Journal of Physics Y1 - 2007 SN - 1829-1171 SP - 95 EP - 98 ER - TY - CHAP A1 - Klöser, Lars A1 - Büsgen, André A1 - Kohl, Philipp A1 - Kraft, Bodo A1 - Zündorf, Albert ED - Conte, Donatello ED - Fred, Ana ED - Gusikhin, Oleg ED - Sansone, Carlo T1 - Explaining relation classification models with semantic extents T2 - Deep Learning Theory and Applications N2 - In recent years, the development of large pretrained language models, such as BERT and GPT, significantly improved information extraction systems on various tasks, including relation classification. State-of-the-art systems are highly accurate on scientific benchmarks. A lack of explainability is currently a complicating factor in many real-world applications. Comprehensible systems are necessary to prevent biased, counterintuitive, or harmful decisions. We introduce semantic extents, a concept to analyze decision patterns for the relation classification task. Semantic extents are the most influential parts of texts concerning classification decisions. Our definition allows similar procedures to determine semantic extents for humans and models. We provide an annotation tool and a software framework to determine semantic extents for humans and models conveniently and reproducibly. Comparing both reveals that models tend to learn shortcut patterns from data. These patterns are hard to detect with current interpretability methods, such as input reductions. Our approach can help detect and eliminate spurious decision patterns during model development. Semantic extents can increase the reliability and security of natural language processing systems. Semantic extents are an essential step in enabling applications in critical areas like healthcare or finance. Moreover, our work opens new research directions for developing methods to explain deep learning models. KW - Relation classification KW - Natural language processing KW - Natural language understanding KW - Information extraction KW - Trustworthy artificial intelligence Y1 - 2023 SN - 978-3-031-39058-6 (Print) SN - 978-3-031-39059-3 (Online) U6 - https://doi.org/10.1007/978-3-031-39059-3_13 N1 - 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023. SP - 189 EP - 208 PB - Springer CY - Cham ER - TY - CHAP A1 - Klöser, Lars A1 - Kohl, Philipp A1 - Kraft, Bodo A1 - Zündorf, Albert T1 - Multi-attribute relation extraction (MARE): simplifying the application of relation extraction T2 - Proceedings of the 2nd International Conference on Deep Learning Theory and Applications DeLTA - Volume 1 N2 - Natural language understanding’s relation extraction makes innovative and encouraging novel business concepts possible and facilitates new digitilized decision-making processes. Current approaches allow the extraction of relations with a fixed number of entities as attributes. Extracting relations with an arbitrary amount of attributes requires complex systems and costly relation-trigger annotations to assist these systems. We introduce multi-attribute relation extraction (MARE) as an assumption-less problem formulation with two approaches, facilitating an explicit mapping from business use cases to the data annotations. Avoiding elaborated annotation constraints simplifies the application of relation extraction approaches. The evaluation compares our models to current state-of-the-art event extraction and binary relation extraction methods. Our approaches show improvement compared to these on the extraction of general multi-attribute relations. Y1 - 2021 SN - 978-989-758-526-5 U6 - https://doi.org/10.5220/0010559201480156 N1 - 2nd International Conference on Deep Learning Theory and Applications, DeLTA2021, July 7-9, 2021 SP - 148 EP - 156 PB - SciTePress CY - Setúbal ER - TY - JOUR A1 - Knobbe, D.-T. A1 - Schöning, Michael Josef A1 - Poghossian, Arshak A1 - Mourzina, Y. T1 - Charakterisierung von kapazitiven EMISSensoren mittels Impedanzspektroskopie, Kapazitäts-Spannungs- und Konstant-Kapazitäts-Messung JF - Sensoren und Messsysteme 2004 : Tagung Ludwigsburg, 15. und 16. März 2004 / VDI-VDE-Gesellschaft Mess- und Automatisierungstechnik Y1 - 2004 SN - 3-18-091829-2 N1 - Auch erschienen als: VDI-Berichte ; 1829 SP - 851 EP - 854 PB - VDI CY - Düsseldorf ER -