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Christopher Krauß

Christopher Krauss

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2020 – today

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2024
[c24]
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Christopher Krauss, Louay Bassbouss, Max Upravitelev, Truong-Sinh An, Daniela Altun, Lisa Reray, Emil Balitzki, Tarek El Tamimi, Mehmet Karagülle:
Opportunities and Challenges in Developing Educational AI-Assistants for the Metaverse. HCI (44) 2024: 219-238
[c23]
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The-Anh Nguyen, Truong-Sinh An, Christopher Krauss:
A Middleware for Educational Ecosystems - Rights and Access-Control Management by Design. LTEC 2024: 166-178
[c22]
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Nguyen Xuan Bach Do, Truong-Sinh An, Christopher Krauss:
SMART-Goal-Buddy: Goal-Setting Oriented Adaptive Learning Paths. LTEC 2024: 319-331
2023
[c21]
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The-Anh Nguyen, Christopher Krauss, Truong-Sinh An, Boris Heithecker, Patrick Neiss, Frank Ziegler:
An Interoperable License Management Component for Educational Content. LTEC 2023: 149-163
[c20]
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Christopher Krauss, Alexander Streicher, Eva Poxleitner, Daniela Altun, Joanna Mueller, Truong-Sinh An, Christoph Mueller:
Best-of-Breed: Service-Oriented Integration of Artificial Intelligence in Interoperable Educational Ecosystems. LTEC 2023: 267-283
2022
[c19]
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Daniela Altun, Christopher Krauss, Alexander Streicher, Christoph Müller, Daniel Atorf, Lisa Rerhaye, Dietmar Kunde:
Lessons Learned from Creating, Implementing and Evaluating Assisted E-Learning Incorporating Adaptivity, Recommendations and Learning Analytics. HCI (31) 2022: 257-270
2021
[c18]
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Lisa Rerhaye, Daniela Altun, Christopher Krauss, Christoph Müller:
Evaluation Methods for an AI-Supported Learning Management System: Quantifying and Qualifying Added Values for Teaching and Learning. HCI (31) 2021: 394-411
2020
[i1]
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Christopher Krauss, Manfred Hauswirth:
Interoperable Education Infrastructures: A Middleware that Brings Together Adaptive, Social and Virtual Learning Technologies. ERCIM News 2020(120) (2020)

2010 – 2019

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2019
[c17]
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Christopher Krauss, Agathe Merceron, Stefan Arbanowski:
Smart Learning Object Recommendations based on Time-Dependent Learning Need Models. EDM 2019
[c16]
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Christopher Krauss, Agathe Merceron, Stefan Arbanowski:
The Timeliness Deviation: A novel Approach to Evaluate Educational Recommender Systems for Closed-Courses. LAK 2019: 195-204
2018
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Thomas Fischer, Christopher Krauss:
Deep learning with long short-term memory networks for financial market predictions. Eur. J. Oper. Res. 270(2): 654-669 (2018)
[c15]
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Truong-Sinh An, Christopher Krauss, Agathe Merceron:
On the Emergence of Typical Behaviours in LMS. DeLFI Workshops 2018
[c14]
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Christopher Krauss, Andreas Salzmann, Agathe Merceron:
Branched Learning Paths for the Recommendation of Personalized Sequences of Course Items. DeLFI Workshops 2018
2017
[j2]
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Christopher Krauss, Xuan Anh Do, Nicolas Huck:
Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500. Eur. J. Oper. Res. 259(2): 689-702 (2017)
[c13]
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Truong-Sinh An, Christopher Krauss, Agathe Merceron:
Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses? EDM 2017
[c12]
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Christopher Krauss, Agathe Merceron, Truong-Sinh An, Miggi Zwicklbauer, Stephan Steglich, Stefan Arbanowski:
Teaching Advanced Web Technologies with a Mobile Learning Companion Application. mLearn 2017: 29:1-29:4
[c11]
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Ingo Zinnikus, André Antakli, Patrick Kapahnke, Matthias Klusch, Christopher Krauss, Andreas Nonnengart, Philipp Slusallek:
Integrated Semantic Fault Analysis and Worker Support for Cyber-Physical Production Systems. CBI (1) 2017: 207-216
2016
[c10]
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Berken Bayat, Christopher Krauss, Agathe Merceron, Stefan Arbanowski:
Supervised Speech Act Classification of Messages in German Online Discussions. FLAIRS 2016: 204-209
[c9]
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Christopher Krauss:
Smart Learning: Time-Dependent Context-Aware Learning Object Recommendations. FLAIRS 2016: 501-504
2015
[c8]
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Miggi Zwicklbauer, Christopher Krauss, Agathe Merceron, Jost-Peter Kania, Michael Scharp:
Smart Learning: Der digitale Lernbegleiter für die berufliche Bildung. DeLFI 2015: 227-232
[c7]
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Robert Seeliger, Christopher Krauss, Annette Wilson, Miggi Zwicklbauer, Stefan Arbanowski:
Towards Personalized Smart City Guide Services in Future Internet Environments. WWW (Companion Volume) 2015: 563-568
2014
[j1]
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Ingo Zinnikus, Sergiy Byelozyorov, Xiaoqi Cao, Matthias Klusch, Christopher Krauss, Andreas Nonnengart, Torsten Spieldenner, Stefan Warwas, Philipp Slusallek:
A Collaborative VirtualWorkspace for Factory Configuration and Evaluation. EAI Endorsed Trans. Collab. Comput. 1(1): e5 (2014)
[c6]
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Christopher Krauss, Stefan Arbanowski:
Social Preference Ontologies for Enriching User and Item Data in Recommendation Systems. ICDM Workshops 2014: 365-372
[c5]
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Christopher Krauss, Sascha Braun, Stefan Arbanowski:
Preference Ontologies based on Social Media for compensating the Cold Start Problem. SNAKDD 2014: 12:1-12:4
2013
[c4]
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Ingo Zinnikus, Xiaoqi Cao, Matthias Klusch, Christopher Krauss, Andreas Nonnengart, Torsten Spieldenner, Philipp Slusallek:
A collaborative virtual workspace for factory configuration and evaluation. CollaborateCom 2013: 353-362
[c3]
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Wolfgang Herget, Christopher Krauß, Andreas Nonnengart, Torsten Spieldenner, Stefan Warwas, Ingo Zinnikus:
A Virtual Environment for Collaborative Engineering with Formal Verification. CE 2013: 225-234
[c2]
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Christopher Krauss, Lars George, Stefan Arbanowski:
TV predictor: personalized program recommendations to be displayed on SmartTVs. BigMine 2013: 63-70
2012
[c1]
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Christopher Krauß, Andreas Nonnengart:
Formal Analysis Meets 3D-Visualization. CE 2012: 145-156

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