Christopher Krauss

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Recommender Systems

Top Venues

DeLFI Workshops

Eur. J. Oper. Res.

Publications

The-Anh Nguyen, Truong-Sinh An, Christopher Krauss
A Middleware for Educational Ecosystems - Rights and Access-Control Management by Design. LTEC (2024)
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)
Nguyen Xuan Bach Do, Truong-Sinh An, Christopher Krauss
SMART-Goal-Buddy: Goal-Setting Oriented Adaptive Learning Paths. LTEC (2024)
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)
The-Anh Nguyen, Christopher Krauss, Truong-Sinh An, Boris Heithecker, Patrick Neiss, Frank Ziegler
An Interoperable License Management Component for Educational Content. LTEC (2023)
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)
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)
Christopher Krauss, Manfred Hauswirth
Interoperable Education Infrastructures: A Middleware that Brings Together Adaptive, Social and Virtual Learning Technologies. ERCIM News 2020 (120) (2020)
Christopher Krauss, Agathe Merceron, Stefan Arbanowski
The Timeliness Deviation: A novel Approach to Evaluate Educational Recommender Systems for Closed-Courses. LAK (2019)
Christopher Krauss, Agathe Merceron, Stefan Arbanowski
Smart Learning Object Recommendations based on Time-Dependent Learning Need Models. EDM (2019)
Truong-Sinh An, Christopher Krauss, Agathe Merceron
On the Emergence of Typical Behaviours in LMS. DeLFI Workshops (2018)
Christopher Krauss, Andreas Salzmann, Agathe Merceron
Branched Learning Paths for the Recommendation of Personalized Sequences of Course Items. DeLFI Workshops (2018)
Thomas Fischer, Christopher Krauss
Deep learning with long short-term memory networks for financial market predictions. Eur. J. Oper. Res. 270 (2) (2018)
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)
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)
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) (2017)
Truong-Sinh An, Christopher Krauss, Agathe Merceron
Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses? EDM (2017)
Christopher Krauss
Smart Learning: Time-Dependent Context-Aware Learning Object Recommendations. FLAIRS Conference (2016)
Berken Bayat, Christopher Krauss, Agathe Merceron, Stefan Arbanowski
Supervised Speech Act Classification of Messages in German Online Discussions. FLAIRS Conference (2016)
Miggi Zwicklbauer, Christopher Krauss, Agathe Merceron, Jost-Peter Kania, Michael Scharp
Smart Learning: Der digitale Lernbegleiter für die berufliche Bildung. DeLFI (2015)
Robert Seeliger, Christopher Krauss, Annette Wilson, Miggi Zwicklbauer, Stefan Arbanowski
Towards Personalized Smart City Guide Services in Future Internet Environments. WWW (Companion Volume) (2015)
Christopher Krauss, Stefan Arbanowski
Social Preference Ontologies for Enriching User and Item Data in Recommendation Systems. ICDM Workshops (2014)
Christopher Krauss, Sascha Braun, Stefan Arbanowski
Preference Ontologies based on Social Media for compensating the Cold Start Problem. SNAKDD (2014)
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) (2014)
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)
Christopher Krauss, Lars George, Stefan Arbanowski
TV predictor: personalized program recommendations to be displayed on SmartTVs. BigMine (2013)