Neil Rubens
Titel
Zitiert von
Zitiert von
Jahr
Active learning in recommender systems
N Rubens, M Elahi, M Sugiyama, D Kaplan
Recommender systems handbook, 809-846, 2015
2662015
A Survey of Active Learning in Collaborative Filtering Recommender Systems
M Elahi, F Ricci, N Rubens
Computer Science Review, 2016
1852016
Understanding business ecosystem dynamics: A data-driven approach
RC Basole, MG Russell, J Huhtamäki, N Rubens, K Still, H Park
ACM Transactions on Management Information Systems (TMIS) 6 (2), 1-32, 2015
1392015
Transforming innovation ecosystems through shared vision and network orchestration
MG Russell, K Still, J Huhtamäki, C Yu, N Rubens
Triple Helix IX International Conference. Stanford, 24-37, 2011
1312011
E-Learning 3.0: Anyone, Anywhere, Anytime, and AI
N Rubens, D Kaplan, T Okamoto
International conference on web-based learning, 171-180, 2012
922012
Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective
M Elahi, F Ricci, N Rubens
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (1), 1-33, 2014
802014
The application of fuzzy logic to the construction of the ranking function of information retrieval systems
N Rubens
Computer Modelling and New Technologies 10 (1), 20-27, 2006
672006
Relational capital for shared vision in innovation ecosystems
MG Russell, J Huhtamäki, K Still, N Rubens, RC Basole
Triple Helix 2 (1), 1-36, 2015
532015
Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations
K Still, J Huhtamäki, MG Russell, N Rubens
International Journal of Technology Management 23 66 (2-3), 243-265, 2014
522014
A Network Analysis of Investment Firms as Resource Routers in Chinese Innovation Ecosystem.
N Rubens, K Still, J Huhtamäki, MG Russell
JSW 6 (9), 1737-1745, 2011
512011
Active learning in collaborative filtering recommender systems
M Elahi, F Ricci, N Rubens
International Conference on Electronic Commerce and Web Technologies, 113-124, 2014
412014
Influence-based collaborative active learning
N Rubens, M Sugiyama
Proceedings of the 2007 ACM conference on Recommender systems, 145-148, 2007
362007
Active learning with model selection in linear regression
M Sugiyama, N Rubens
Proceedings of the 2008 SIAM International Conference on Data Mining, 518-529, 2008
332008
A batch ensemble approach to active learning with model selection
M Sugiyama, N Rubens
Neural Networks 21 (9), 1278-1286, 2008
302008
Ostinato: The exploration-automation cycle of user-centric, process-automated data-driven visual network analytics
J Huhtamäki, MG Russell, N Rubens, K Still
Transparency in social media, 197-222, 2015
272015
Exploring innovation ecosystems as networks: Four european cases
J Huhtamäki, N Rubens
2016 49th Hawaii International Conference on System Sciences (HICSS), 4505-4514, 2016
232016
A network-centric snapshot of value co-creation in Finnish innovation financing
J Huhtamäki, MG Russell, K Still, N Rubens
Open Source Business Resource, 2011
202011
Adapting to natural rating acquisition with combined active learning strategies
M Elahi, F Ricci, N Rubens
International Symposium on Methodologies for Intelligent Systems, 254-263, 2012
172012
Alumni network analysis
N Rubens, M Russell, R Perez, J Huhtamäki, K Still, D Kaplan, T Okamoto
2011 IEEE Global Engineering Education Conference (EDUCON), 606-611, 2011
172011
Semantic analysis of energy-related conversations in social media: A Twitter case study
MG Russel, J Flora, M Strohmaier, J Pöschko, R Perez, N Rubens
International Conference on Persuasive Technology, 0-0, 2011
172011
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