Carsten Lanquillon

38 papers A* 1A 1C 1Misc 1Journal 7Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Survey of LLM-Based Methods for Synthetic Data Generation and the Rise of Agentic Workflows. HCI (56) Ahmad Alismail, Carsten Lanquillon
2025	—	`conf`	AI-Supported Root Cause Analysis in Automotive Quality Problem Solving: A Cross Domain Literature Review. HCI (55) Patrick Kaftan, Carsten Lanquillon, Nicolaj C. Stache
2025	—	`conf`	Anomaly Detection on Real-World Industrial Manufacturing Applications with Additional Anomaly Type Clustering. HCI (57) Fabian Schoch, Pascal Graf, Tobias Schmieg, Nicholas Schloer, Carsten Wittenberg, Carsten Lanquillon, Nicolaj C. Stache
2025	—	`conf`	Enhancing Knowledge Preservation in Machine Learning Research: Jupyter Notebooks as an Interactive Documentation Tool. HCI (66) Tobias Schmieg, Fabian Schoch, Nicholas Schloer, Carsten Lanquillon, Carsten Wittenberg, Nicolaj C. Stache
2025	—	`conf`	Mapping Moral Reasoning Circuits: A Mechanistic Analysis of Ethical Decision-Making in Large Language Models. HCI (55) Sigurd Schacht, Carsten Lanquillon
2025	—	`conf`	SeLLMA: A Secure Large Language Model Adaptation Framework for Privacy-Preserving Enterprise Applications. HCI (56) Thomas Wacker, Yannick Kreppein, Carsten Lanquillon
2025	J	`jnl`	eDIF: A European Deep Inference Fabric for Remote Interpretability of LLM. CoRR Irma Heithoff. Marc Guggenberger, Sandra Kalogiannis, Susanne Mayer, Fabian Maag, Sigurd Schacht, Carsten Lanquillon
2024	—	`conf`	ALISE: An Automated Literature Screening Engine for Research. ICAART (2) Hendrik Roth, Carsten Lanquillon
2024	—	`conf`	Challenges of Machine Failure Prediction with Product Data - A Case Study. HCI (52) Dominik Buhl, Carsten Lanquillon
2024	Misc	`conf`	Deep Anomaly Detection with Extended Transformer-Based Model on Tennessee Eastman Process Dataset. CSIT Fabian Schoch, Pascal Graf, Tobias Schmieg, Carsten Wittenberg, Carsten Lanquillon, Nicolaj C. Stache
2024	—	`conf`	Enhancing Large Language Models Through External Domain Knowledge. HCI (53) Laslo Welz, Carsten Lanquillon
2024	—	`conf`	Evaluation of Generative AI-Assisted Software Design and Engineering: A User-Centered Approach. HCI (51) Mahsa Fischer, Carsten Lanquillon
2024	J	`jnl`	Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations. CoRR Leo Donisch, Sigurd Schacht, Carsten Lanquillon
2024	—	`conf`	Optimizing the Industrial Human-Machine Interface: Holographic Surfaces and Their Role in Anomaly Detection. HCI (62) Nicholas Schloer, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Fabian Schoch, Nicolaj C. Stache, Carsten Wittenberg
2024	—	`conf`	Time Series Representation Learning: A Survey on Deep Learning Techniques for Time Series Forecasting. HCI (51) Tobias Schmieg, Carsten Lanquillon
2024	—	`conf`	Towards Developing an Agent-Based Framework for Validating the Trustworthiness of Large Language Models. ICAART (3) Johannes Bubeck, Janick Greinacher, Yannik A. Langer, Tobias Roth, Carsten Lanquillon
2024	—	`conf`	Unlocking Operational Clarity: The Integration of Artificial Intelligence, Digital Twins, and Mixed Reality in Production for Enhanced User Transparency. HCI (52) Carsten Wittenberg, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Nicholas Schloer, Fabian Schoch, Nicolaj C. Stache
2023	—	`conf`	Conversation-Driven Refinement of Knowledge Graphs: True Active Learning with Humans in the Chatbot Application Loop. HCI (41) Dominik Buhl, Daniel Szafarski, Laslo Welz, Carsten Lanquillon
2023	—	`conf`	Knowledge-Grounded and Self-extending NER. HCI (47) Sudarshan Kamath Barkur, Sigurd Schacht, Carsten Lanquillon
2023	—	`conf`	PromptIE - Information Extraction with Prompt-Engineering and Large Language Models. HCI (47) Sigurd Schacht, Sudarshan Kamath Barkur, Carsten Lanquillon
2023	J	`jnl`	Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle. CoRR Vanessa Mehlin, Sigurd Schacht, Carsten Lanquillon
2023	—	`conf`	User Transparency of Artificial Intelligence and Digital Twins in Production - Research on Lead Applications and the Transfer to Industry. HCI (41) Carsten Wittenberg, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Nicholas Schloer, Fabian Schoch, Nicolaj C. Stache
2021	—	`conf`	Meta-learning approach for implementation of AI methods in the context of CRISP-DM with case studies from master data management. ICE/ITMC Victor Pontello, Helmut Beckmann, Carsten Lanquillon
2020	—	`conf`	Introducing DASC-PM: A Data Science Process Model. ACIS Michael Schulz, Uwe Neuhaus, Jens Kaufmann, Daniel Badura, Stephan Kühnel, Wolfgang Badewitz, David Dann, Simon Kloker, Emal M. Alekozai, Carsten Lanquillon
2016	—	`conf`	A big data change detection system. DEC Carsten Lanquillon, Sigurd Schacht
2010	—	`ch.`	Interactivity Closes the Gap - Lessons Learned in an Automotive Industry Application. Data Mining for Business Applications Axel Blumenstock, Markus Mueller, Carsten Lanquillon, Steffen Kempe, Jochen Hipp, Rüdiger Wirth
2009	—	`conf`	Interactive Quality Analysis in the Automotive Industry: Concept and Design of an Interactive, Web-Based Data Mining Application. ICEIS Steffen Fritzsche, Markus Müller, Carsten Lanquillon
2009	J	`jnl`	Rule cubes for causal investigations. Knowl. Inf. Syst. Axel Blumenstock, Franz Schweiggert, Markus Müller, Carsten Lanquillon
2008	J	`jnl`	Mining Frequent Temporal Patterns in Interval Sequences. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Steffen Kempe, Jochen Hipp, Carsten Lanquillon, Rudolf Kruse
2002	J	`jnl`	Enhancing Text Classification to Improve Information Filtering. Künstliche Intell. Carsten Lanquillon
2001	—	`—`	Enhancing text classification to improve information filtering. Carsten Lanquillon
2000	C	`conf`	A KDD Experience Factory: Using Textual CBR for Reusing Lessons Learned. DEXA Kai Bartlmae, Carsten Lanquillon
2000	—	`conf`	Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text Classification. PKDD Carsten Lanquillon
2000	—	`conf`	Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme. ECML Carsten Lanquillon
1999	A	`conf`	Adaptive Information Filtering: Detecting Changes in Text Streams. CIKM Carsten Lanquillon, Ingrid Renz
1999	J	`jnl`	Dynamic aspects in neural classification. Intell. Syst. Account. Finance Manag. Carsten Lanquillon
1999	—	`conf`	Evaluating Performance Indicators for Adaptive Information Filtering. ICSC Carsten Lanquillon
1998	A*	`conf`	Evaluating Usefulness for Dynamic Classification. KDD Gholamreza Nakhaeizadeh, Charles C. Taylor, Carsten Lanquillon