Evaluating Usefulness for Dynamic Classification. - Gholamreza Nakhaeizadeh; Charles C. Taylor; Carsten Lanquillon (KDD, 1998)

Adaptive Information Filtering: Detecting Changes in Text Streams. - Carsten Lanquillon; Ingrid Renz (CIKM, 1999)

Evaluating Performance Indicators for Adaptive Information Filtering. - Carsten Lanquillon (ICSC, 1999)

Dynamic aspects in neural classification. - Carsten Lanquillon (Intell. Syst. Account. Finance Manag., 1999)

A KDD Experience Factory: Using Textual CBR for Reusing Lessons Learned. - Kai Bartlmae; Carsten Lanquillon (DEXA, 2000)

Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme. - Carsten Lanquillon (ECML, 2000)

Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text Classification. - Carsten Lanquillon (PKDD, 2000)

Enhancing text classification to improve information filtering. - Carsten Lanquillon (dissertation.de, 2001)

Enhancing Text Classification to Improve Information Filtering. - Carsten Lanquillon (Künstliche Intell., 2002)

Mining Frequent Temporal Patterns in Interval Sequences. - Steffen Kempe; Jochen Hipp; Carsten Lanquillon; Rudolf Kruse (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008)

Interactive Quality Analysis in the Automotive Industry: Concept and Design of an Interactive, Web-Based Data Mining Application. - Steffen Fritzsche; Markus Müller 004; Carsten Lanquillon (ICEIS, 2009)

Rule cubes for causal investigations. - Axel Blumenstock; Franz Schweiggert; Markus Müller 004; Carsten Lanquillon (Knowl. Inf. Syst., 2009)

Interactivity Closes the Gap - Lessons Learned in an Automotive Industry Application. - Axel Blumenstock; Markus Mueller; Carsten Lanquillon; Steffen Kempe; Jochen Hipp; Rüdiger Wirth (Data Mining for Business Applications, 2010)

A big data change detection system. - Carsten Lanquillon; Sigurd Schacht (DEC, 2016)

Introducing DASC-PM: A Data Science Process Model. - Michael Schulz; Uwe Neuhaus; Jens Kaufmann; Daniel Badura; Stephan Kühnel; Wolfgang Badewitz; David Dann; Simon Kloker; Emal M. Alekozai; Carsten Lanquillon (ACIS, 2020)

Meta-learning approach for implementation of AI methods in the context of CRISP-DM with case studies from master data management. - Victor Pontello; Helmut Beckmann; Carsten Lanquillon (ICE/ITMC, 2021)

Knowledge-Grounded and Self-extending NER. - Sudarshan Kamath Barkur; Sigurd Schacht; Carsten Lanquillon (HCI (47), 2023)

Conversation-Driven Refinement of Knowledge Graphs: True Active Learning with Humans in the Chatbot Application Loop. - Dominik Buhl; Daniel Szafarski; Laslo Welz; Carsten Lanquillon (HCI (41), 2023)

PromptIE - Information Extraction with Prompt-Engineering and Large Language Models. - Sigurd Schacht; Sudarshan Kamath Barkur; Carsten Lanquillon (HCI (47), 2023)

User Transparency of Artificial Intelligence and Digital Twins in Production - Research on Lead Applications and the Transfer to Industry. - Carsten Wittenberg; Sabine Boos; Felix Harst; Carsten Lanquillon; Morris Ohrnberger; Nicholas Schloer; Fabian Schoch; Nicolaj C. Stache (HCI (41), 2023)

Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle. - Vanessa Mehlin; Sigurd Schacht; Carsten Lanquillon (CoRR, 2023)

Deep Anomaly Detection with Extended Transformer-Based Model on Tennessee Eastman Process Dataset. - Fabian Schoch; Pascal Graf; Tobias Schmieg; Carsten Wittenberg; Carsten Lanquillon; Nicolaj C. Stache (CSIT, 2024)

Challenges of Machine Failure Prediction with Product Data - A Case Study. - Dominik Buhl; Carsten Lanquillon (HCI (52), 2024)

Evaluation of Generative AI-Assisted Software Design and Engineering: A User-Centered Approach. - Mahsa Fischer; Carsten Lanquillon (HCI (51), 2024)

Optimizing the Industrial Human-Machine Interface: Holographic Surfaces and Their Role in Anomaly Detection. - Nicholas Schloer; Sabine Boos; Felix Harst; Carsten Lanquillon; Morris Ohrnberger; Fabian Schoch; Nicolaj C. Stache; Carsten Wittenberg (HCI (62), 2024)

Time Series Representation Learning: A Survey on Deep Learning Techniques for Time Series Forecasting. - Tobias Schmieg; Carsten Lanquillon (HCI (51), 2024)

Enhancing Large Language Models Through External Domain Knowledge. - Laslo Welz; Carsten Lanquillon (HCI (53), 2024)

Unlocking Operational Clarity: The Integration of Artificial Intelligence, Digital Twins, and Mixed Reality in Production for Enhanced User Transparency. - Carsten Wittenberg; Sabine Boos; Felix Harst; Carsten Lanquillon; Morris Ohrnberger; Nicholas Schloer; Fabian Schoch; Nicolaj C. Stache (HCI (52), 2024)

Towards Developing an Agent-Based Framework for Validating the Trustworthiness of Large Language Models. - Johannes Bubeck; Janick Greinacher; Yannik A. Langer; Tobias Roth; Carsten Lanquillon (ICAART (3), 2024)

ALISE: An Automated Literature Screening Engine for Research. - Hendrik Roth; Carsten Lanquillon (ICAART (2), 2024)

Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations. - Leo Donisch; Sigurd Schacht; Carsten Lanquillon (CoRR, 2024)

A Survey of LLM-Based Methods for Synthetic Data Generation and the Rise of Agentic Workflows. - Ahmad Alismail; Carsten Lanquillon (HCI (56), 2025)

AI-Supported Root Cause Analysis in Automotive Quality Problem Solving: A Cross Domain Literature Review. - Patrick Kaftan; Carsten Lanquillon; Nicolaj C. Stache (HCI (55), 2025)

Mapping Moral Reasoning Circuits: A Mechanistic Analysis of Ethical Decision-Making in Large Language Models. - Sigurd Schacht; Carsten Lanquillon (HCI (55), 2025)

Enhancing Knowledge Preservation in Machine Learning Research: Jupyter Notebooks as an Interactive Documentation Tool. - Tobias Schmieg; Fabian Schoch; Nicholas Schloer; Carsten Lanquillon; Carsten Wittenberg; Nicolaj C. Stache (HCI (66), 2025)

Anomaly Detection on Real-World Industrial Manufacturing Applications with Additional Anomaly Type Clustering. - Fabian Schoch; Pascal Graf; Tobias Schmieg; Nicholas Schloer; Carsten Wittenberg; Carsten Lanquillon; Nicolaj C. Stache (HCI (57), 2025)

SeLLMA: A Secure Large Language Model Adaptation Framework for Privacy-Preserving Enterprise Applications. - Thomas Wacker; Yannick Kreppein; Carsten Lanquillon (HCI (56), 2025)