Segui
Christoph Scholz
Christoph Scholz
Fraunhofer IEE
Email verificata su iee.fraunhofer.de
Titolo
Citata da
Citata da
Anno
New insights and methods for predicting face-to-face contacts
C Scholz, M Atzmueller, A Barrat, C Cattuto, G Stumme
Proceedings of the International AAAI Conference on Web and Social Media 7 …, 2013
672013
Enhancing Social Interactions at Conferences.
M Atzmüller, D Benz, S Doerfel, A Hotho, R Jäschke, BE Macek, F Mitzlaff, ...
IT-Information Technology 53 (3), 101-107, 2011
672011
Anatomy of a Conference
BE Macek, C Scholz, M Atzmueller, G Stumme
Proceedings of the 23rd ACM conference on Hypertext and social media, 245-254, 2012
642012
On the predictability of human contacts: Influence factors and the strength of stronger ties
C Scholz, M Atzmueller, G Stumme
Privacy, Security, Risk and Trust (PASSAT), 2012 International Conference on …, 2012
552012
Temporal evolution of contacts and communities in networks of face-to-face human interactions
M Kibanov, M Atzmueller, C Scholz, G Stumme
Science China Information Sciences 57 (3), 1-17, 2014
512014
Ubicon and its applications for ubiquitous social computing
M Atzmueller, M Becker, M Kibanov, C Scholz, S Doerfel, A Hotho, ...
New Review of Hypermedia and Multimedia 20 (1), 53-77, 2014
502014
Artificial Intelligence for Electricity Supply Chain Automation
SKSL Lucas Richter, Malte Lehna, Sophie Marchand, Christoph Scholz ...
Renewable & Sustainable Energy Reviews, 2022
432022
Ubicon: Observing Physical and Social Activities
M Atzmueller, M Becker, S Doerfel, A Hotho, M Kibanov, BE Macek, ...
Green Computing and Communications (GreenCom), 2012 IEEE International …, 2012
412012
Resource-aware on-line RFID localization using proximity data
C Scholz, S Doerfel, M Atzmueller, A Hotho, G Stumme
Machine Learning and Knowledge Discovery in Databases, 129-144, 2011
362011
AI agents envisioning the future: forecast-based operation of renewable energy storage systems using hydrogen with Deep Reinforcement Learning
A Dreher, T Bexten, T Sieker, M Lehna, J Schuett, C Scholz, M Wirsum
Energy Conversion & Management, 2022
322022
Is Web Content a Good Proxy for Real-Life Interaction?: A Case Study Considering Online and Offline Interactions of Computer Scientists
M Kibanov, M Atzmueller, J Illig, C Scholz, A Barrat, C Cattuto, G Stumme
Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015
232015
On the evolution of social groups during coffee breaks
M Atzmueller, A Ernst, F Krebs, C Scholz, G Stumme
Proceedings of the companion publication of the 23rd international …, 2014
222014
A Reinforcement Learning approach for the continuous electricity market of Germany: Trading from the perspective of a wind park operator
M Lehna, B Hoppmann, C Scholz, R Heinrich
Energy and AI, 100139, 2022
202022
Predictability of evolving contacts and triadic closure in human face-to-face proximity networks
C Scholz, M Atzmueller, M Kibanov, G Stumme
Social Network Analysis and Mining 4 (1), 1-17, 2014
192014
On the predictability of talk attendance at academic conferences
C Scholz, J Illig, M Atzmueller, G Stumme
Proceedings of the 25th ACM conference on Hypertext and social media, 279-284, 2014
192014
Formation and Temporal Evolution of Social Groups During Coffee Breaks
M Atzmueller, A Ernst, F Krebs, C Scholz, G Stumme
Big Data Analytics in the Social and Ubiquitous Context: 5th International …, 2016
132016
How do people link? Analysis of contact structures in human face-to-face proximity networks
C Scholz, M Atzmueller, M Kibanov, G Stumme
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM …, 2013
132013
On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity
M Kibanov, M Atzmueller, C Scholz, G Stumme
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of …, 2013
132013
Vertical power flow forecast with LSTMs using regular training update strategies
DJ Katharina Brauns, Christoph Scholz, Alexander Schultz, Andre Baier
Energy and AI, 2022
102022
Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods
C Scholz, M Lehna, K Brauns, A Baier
The Fifth Workshop on MIning DAta for financial applicationS (MIDAS), 2020
102020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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