Christopher Krauss

26 papers A 1B 2C 1Misc 2Journal 4Unranked 16

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	A Middleware for Educational Ecosystems - Rights and Access-Control Management by Design. LTEC The-Anh Nguyen, Truong-Sinh An, Christopher Krauss
2024	—	`conf`	Opportunities and Challenges in Developing Educational AI-Assistants for the Metaverse. HCI (44) Christopher Krauss, Louay Bassbouss, Max Upravitelev, Truong-Sinh An, Daniela Altun, Lisa Reray, Emil Balitzki, Tarek El Tamimi, Mehmet Karagülle
2024	—	`conf`	SMART-Goal-Buddy: Goal-Setting Oriented Adaptive Learning Paths. LTEC Nguyen Xuan Bach Do, Truong-Sinh An, Christopher Krauss
2023	—	`conf`	An Interoperable License Management Component for Educational Content. LTEC The-Anh Nguyen, Christopher Krauss, Truong-Sinh An, Boris Heithecker, Patrick Neiss, Frank Ziegler
2023	—	`conf`	Best-of-Breed: Service-Oriented Integration of Artificial Intelligence in Interoperable Educational Ecosystems. LTEC Christopher Krauss, Alexander Streicher, Eva Poxleitner, Daniela Altun, Joanna Mueller, Truong-Sinh An, Christoph Mueller
2022	—	`conf`	Lessons Learned from Creating, Implementing and Evaluating Assisted E-Learning Incorporating Adaptivity, Recommendations and Learning Analytics. HCI (31) Daniela Altun, Christopher Krauss, Alexander Streicher, Christoph Müller, Daniel Atorf, Lisa Rerhaye, Dietmar Kunde
2021	—	`conf`	Evaluation Methods for an AI-Supported Learning Management System: Quantifying and Qualifying Added Values for Teaching and Learning. HCI (31) Lisa Rerhaye, Daniela Altun, Christopher Krauss, Christoph Müller
2020	J	`jnl`	Interoperable Education Infrastructures: A Middleware that Brings Together Adaptive, Social and Virtual Learning Technologies. ERCIM News Christopher Krauss, Manfred Hauswirth
2019	B	`conf`	Smart Learning Object Recommendations based on Time-Dependent Learning Need Models. EDM Christopher Krauss, Agathe Merceron, Stefan Arbanowski
2019	A	`conf`	The Timeliness Deviation: A novel Approach to Evaluate Educational Recommender Systems for Closed-Courses. LAK Christopher Krauss, Agathe Merceron, Stefan Arbanowski
2018	—	`conf`	Branched Learning Paths for the Recommendation of Personalized Sequences of Course Items. DeLFI Workshops Christopher Krauss, Andreas Salzmann, Agathe Merceron
2018	J	`jnl`	Deep learning with long short-term memory networks for financial market predictions. Eur. J. Oper. Res. Thomas Fischer, Christopher Krauss
2018	—	`conf`	On the Emergence of Typical Behaviours in LMS. DeLFI Workshops Truong-Sinh An, Christopher Krauss, Agathe Merceron
2017	B	`conf`	Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses? EDM Truong-Sinh An, Christopher Krauss, Agathe Merceron
2017	J	`jnl`	Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500. Eur. J. Oper. Res. Christopher Krauss, Xuan Anh Do, Nicolas Huck
2017	—	`conf`	Integrated Semantic Fault Analysis and Worker Support for Cyber-Physical Production Systems. CBI (1) Ingo Zinnikus, André Antakli, Patrick Kapahnke, Matthias Klusch, Christopher Krauss, Andreas Nonnengart, Philipp Slusallek
2017	—	`conf`	Teaching Advanced Web Technologies with a Mobile Learning Companion Application. mLearn Christopher Krauss, Agathe Merceron, Truong-Sinh An, Miggi Zwicklbauer, Stephan Steglich, Stefan Arbanowski
2016	Misc	`conf`	Smart Learning: Time-Dependent Context-Aware Learning Object Recommendations. FLAIRS Christopher Krauss
2016	Misc	`conf`	Supervised Speech Act Classification of Messages in German Online Discussions. FLAIRS Berken Bayat, Christopher Krauss, Agathe Merceron, Stefan Arbanowski
2015	—	`conf`	Smart Learning: Der digitale Lernbegleiter für die berufliche Bildung. DeLFI Miggi Zwicklbauer, Christopher Krauss, Agathe Merceron, Jost-Peter Kania, Michael Scharp
2015	—	`conf`	Towards Personalized Smart City Guide Services in Future Internet Environments. WWW (Companion Volume) Robert Seeliger, Christopher Krauss, Annette Wilson, Miggi Zwicklbauer, Stefan Arbanowski
2014	J	`jnl`	A Collaborative VirtualWorkspace for Factory Configuration and Evaluation. EAI Endorsed Trans. Collab. Comput. Ingo Zinnikus, Sergiy Byelozyorov, Xiaoqi Cao, Matthias Klusch, Christopher Krauss, Andreas Nonnengart, Torsten Spieldenner, Stefan Warwas, Philipp Slusallek
2014	—	`conf`	Preference Ontologies based on Social Media for compensating the Cold Start Problem. SNAKDD Christopher Krauss, Sascha Braun, Stefan Arbanowski
2014	—	`conf`	Social Preference Ontologies for Enriching User and Item Data in Recommendation Systems. ICDM Workshops Christopher Krauss, Stefan Arbanowski
2013	C	`conf`	A collaborative virtual workspace for factory configuration and evaluation. CollaborateCom Ingo Zinnikus, Xiaoqi Cao, Matthias Klusch, Christopher Krauss, Andreas Nonnengart, Torsten Spieldenner, Philipp Slusallek
2013	—	`conf`	TV predictor: personalized program recommendations to be displayed on SmartTVs. BigMine Christopher Krauss, Lars George, Stefan Arbanowski