Carsten Lanquillon

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