Carsten Lanquillon

According to our database, Carsten Lanquillon authored at least 30 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations.

Leo Donisch, Sigurd Schacht, Carsten Lanquillon

CoRR, 2024

ALISE: An Automated Literature Screening Engine for Research.

Hendrik Roth, Carsten Lanquillon

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 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

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 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

Proceedings of the Artificial Intelligence in HCI, 2024

Enhancing Large Language Models Through External Domain Knowledge.

Laslo Welz, Carsten Lanquillon

Proceedings of the Artificial Intelligence in HCI, 2024

Time Series Representation Learning: A Survey on Deep Learning Techniques for Time Series Forecasting.

Tobias Schmieg, Carsten Lanquillon

Proceedings of the Artificial Intelligence in HCI, 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

Proceedings of the HCI International 2024 Posters, 2024

Evaluation of Generative AI-Assisted Software Design and Engineering: A User-Centered Approach.

Mahsa Fischer, Carsten Lanquillon

Proceedings of the Artificial Intelligence in HCI, 2024

Challenges of Machine Failure Prediction with Product Data - A Case Study.

Dominik Buhl, Carsten Lanquillon

Proceedings of the Artificial Intelligence in HCI, 2024

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

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

Proceedings of the Artificial Intelligence in HCI, 2023

PromptIE - Information Extraction with Prompt-Engineering and Large Language Models.

Sigurd Schacht, Sudarshan Kamath Barkur, Carsten Lanquillon

Proceedings of the HCI International 2023 Posters, 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

Proceedings of the Artificial Intelligence in HCI, 2023

Knowledge-Grounded and Self-extending NER.

Sudarshan Kamath Barkur, Sigurd Schacht, Carsten Lanquillon

Proceedings of the HCI International 2023 Posters, 2023

2021

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

Proceedings of the 2021 IEEE International Conference on Engineering, 2021

2020

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

Proceedings of the Australasian Conference on Information Systems, 2020

2016

A big data change detection system.

Carsten Lanquillon, Sigurd Schacht

Proceedings of the Digital Enterprise Computing (DEC 2016), 2016

2010

Interactivity Closes the Gap - Lessons Learned in an Automotive Industry Application.

Axel Blumenstock, Markus Mueller, Carsten Lanquillon, Steffen Kempe, Jochen Hipp, Rüdiger Wirth

Proceedings of the Data Mining for Business Applications, 2010

2009

Rule cubes for causal investigations.

Axel Blumenstock, Franz Schweiggert, Markus Müller, Carsten Lanquillon

Knowl. Inf. Syst., 2009

Interactive Quality Analysis in the Automotive Industry: Concept and Design of an Interactive, Web-Based Data Mining Application.

Steffen Fritzsche, Markus Müller, Carsten Lanquillon

Proceedings of the Enterprise Information Systems, 11th International Conference, 2009

2008

Mining Frequent Temporal Patterns in Interval Sequences.

Steffen Kempe, Jochen Hipp, Carsten Lanquillon, Rudolf Kruse

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

2002

Enhancing Text Classification to Improve Information Filtering.

Carsten Lanquillon

Künstliche Intell., 2002

2001

Enhancing text classification to improve information filtering.

Carsten Lanquillon

PhD thesis, 2001

2000

Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text Classification.

Carsten Lanquillon

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme.

Carsten Lanquillon

Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

A KDD Experience Factory: Using Textual CBR for Reusing Lessons Learned.

Kai Bartlmae, Carsten Lanquillon

Proceedings of the Database and Expert Systems Applications, 11th International Conference, 2000

1999

Dynamic aspects in neural classification.

Carsten Lanquillon

Intell. Syst. Account. Finance Manag., 1999

Evaluating Performance Indicators for Adaptive Information Filtering.

Carsten Lanquillon

Proceedings of the Internet Applications, 5th International Computer Science Conference, 1999

Adaptive Information Filtering: Detecting Changes in Text Streams.

Carsten Lanquillon, Ingrid Renz

Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management, 1999

1998

Evaluating Usefulness for Dynamic Classification.

Gholamreza Nakhaeizadeh, Charles C. Taylor, Carsten Lanquillon

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998