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2020 – today
- 2024
[c22]Mahsa Fischer
, Carsten Lanquillon:
Evaluation of Generative AI-Assisted Software Design and Engineering: A User-Centered Approach. HCI (51) 2024: 31-47- [c21]Laslo Welz, Carsten Lanquillon:
Enhancing Large Language Models Through External Domain Knowledge. HCI (53) 2024: 135-146 - [c20]Dominik Buhl, Carsten Lanquillon:
Challenges of Machine Failure Prediction with Product Data - A Case Study. HCI (52) 2024: 308-322 - [c19]Tobias Schmieg, Carsten Lanquillon:
Time Series Representation Learning: A Survey on Deep Learning Techniques for Time Series Forecasting. HCI (51) 2024: 422-435 - [c18]Nicholas Schloer, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Fabian Schoch, Nicolaj C. Stache, Carsten Wittenberg:
Optimizing the Industrial Human-Machine Interface: Holographic Surfaces and Their Role in Anomaly Detection. HCI (62) 2024: 430-435 - [c17]Carsten Wittenberg, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Nicholas Schloer, Fabian Schoch, Nicolaj C. Stache:
Unlocking Operational Clarity: The Integration of Artificial Intelligence, Digital Twins, and Mixed Reality in Production for Enhanced User Transparency. HCI (52) 2024: 449-460 - [c16]Hendrik Roth, Carsten Lanquillon:
ALISE: An Automated Literature Screening Engine for Research. ICAART (2) 2024: 453-461 - [c15]Johannes Bubeck, Janick Greinacher, Yannik A. Langer, Tobias Roth, Carsten Lanquillon:
Towards Developing an Agent-Based Framework for Validating the Trustworthiness of Large Language Models. ICAART (3) 2024: 527-534 - [i2]Leo Donisch, Sigurd Schacht, Carsten Lanquillon:
Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations. CoRR abs/2408.03130 (2024) - 2023
- [c14]Dominik Buhl, Daniel Szafarski, Laslo Welz, Carsten Lanquillon:
Conversation-Driven Refinement of Knowledge Graphs: True Active Learning with Humans in the Chatbot Application Loop. HCI (41) 2023: 41-54 - [c13]Carsten Wittenberg, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Nicholas Schloer, Fabian Schoch, Nicolaj C. Stache:
User Transparency of Artificial Intelligence and Digital Twins in Production - Research on Lead Applications and the Transfer to Industry. HCI (41) 2023: 322-332 - [c12]Sudarshan Kamath Barkur, Sigurd Schacht, Carsten Lanquillon:
Knowledge-Grounded and Self-extending NER. HCI (47) 2023: 439-446 - [c11]Sigurd Schacht, Sudarshan Kamath Barkur, Carsten Lanquillon:
PromptIE - Information Extraction with Prompt-Engineering and Large Language Models. HCI (47) 2023: 507-514 - [i1]Vanessa Mehlin, Sigurd Schacht, Carsten Lanquillon:
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle. CoRR abs/2303.01980 (2023) - 2021
- [c10]Victor Pontello, Helmut Beckmann, Carsten Lanquillon:
Meta-learning approach for implementation of AI methods in the context of CRISP-DM with case studies from master data management. ICE/ITMC 2021: 1-9 - 2020
- [c9]Michael Schulz, Uwe Neuhaus, Jens Kaufmann, Daniel Badura, Stephan Kühnel, Wolfgang Badewitz, David Dann, Simon Kloker, Emal M. Alekozai, Carsten Lanquillon:
Introducing DASC-PM: A Data Science Process Model. ACIS 2020: 45
2010 – 2019
- 2016
- [c8]Carsten Lanquillon, Sigurd Schacht:
A big data change detection system. DEC 2016: 221-233 - 2010
- [p1]Axel Blumenstock, Markus Mueller, Carsten Lanquillon, Steffen Kempe, Jochen Hipp, Rüdiger Wirth:
Interactivity Closes the Gap - Lessons Learned in an Automotive Industry Application. Data Mining for Business Applications 2010: 17-34
2000 – 2009
- 2009
- [j4]Axel Blumenstock, Franz Schweiggert, Markus Müller, Carsten Lanquillon:
Rule cubes for causal investigations. Knowl. Inf. Syst. 18(1): 109-132 (2009) - [c7]Steffen Fritzsche, Markus Müller, Carsten Lanquillon:
Interactive Quality Analysis in the Automotive Industry: Concept and Design of an Interactive, Web-Based Data Mining Application. ICEIS 2009: 402-414 - 2008
- [j3]Steffen Kempe, Jochen Hipp, Carsten Lanquillon, Rudolf Kruse:
Mining Frequent Temporal Patterns in Interval Sequences. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(5): 645-661 (2008) - 2002
- [j2]Carsten Lanquillon:
Enhancing Text Classification to Improve Information Filtering. Künstliche Intell. 16(2): 37-38 (2002) - 2001
- [b1]Carsten Lanquillon:
Enhancing text classification to improve information filtering. Otto-von-Guericke University Magdeburg, Germany, dissertation.de 2001, ISBN 978-3-89825-397-0, pp. 1-222 - 2000
- [c6]Kai Bartlmae, Carsten Lanquillon:
A KDD Experience Factory: Using Textual CBR for Reusing Lessons Learned. DEXA 2000: 730-740 - [c5]Carsten Lanquillon:
Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme. ECML 2000: 229-237 - [c4]Carsten Lanquillon:
Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text Classification. PKDD 2000: 490-497
1990 – 1999
- 1999
- [j1]Carsten Lanquillon:
Dynamic aspects in neural classification. Intell. Syst. Account. Finance Manag. 8(4): 281-296 (1999) - [c3]Carsten Lanquillon, Ingrid Renz:
Adaptive Information Filtering: Detecting Changes in Text Streams. CIKM 1999: 538-544 - [c2]Carsten Lanquillon:
Evaluating Performance Indicators for Adaptive Information Filtering. ICSC 1999: 11-20 - 1998
- [c1]Gholamreza Nakhaeizadeh, Charles C. Taylor, Carsten Lanquillon:
Evaluating Usefulness for Dynamic Classification. KDD 1998: 87-93
Coauthor Index
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