Neil Rubens
TitleCited byYear
Active learning in recommender systems
N Rubens, M Elahi, M Sugiyama, D Kaplan
Recommender systems handbook, 809-846, 2015
2312015
A Survey of Active Learning in Collaborative Filtering Recommender Systems
M Elahi, F Ricci, N Rubens
Computer Science Review, 2016
1392016
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
1122015
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
1102011
E-Learning 3.0: Anyone, Anywhere, Anytime, and AI
N Rubens, D Kaplan, T Okamoto
International conference on web-based learning, 171-180, 2012
792012
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
662014
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
632006
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;, 2014
452014
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
412011
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
392015
Active learning in collaborative filtering recommender systems
M Elahi, F Ricci, N Rubens
International Conference on Electronic Commerce and Web Technologies, 113-124, 2014
332014
Influence-based collaborative active learning
N Rubens, M Sugiyama
Proceedings of the 2007 ACM conference on Recommender systems, 145-148, 2007
332007
A batch ensemble approach to active learning with model selection
M Sugiyama, N Rubens
Neural Networks 21 (9), 1278-1286, 2008
292008
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
292008
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
242015
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
192011
Exploring innovation ecosystems as networks: Four european cases
J Huhtamäki, N Rubens
2016 49th Hawaii International Conference on System Sciences (HICSS), 4505-4514, 2016
162016
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
152012
Automatic group formation for informal collaborative learning
N Rubens, M Vilenius, T Okamoto
2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2009
152009
Leveraging social media for analysis of innovation players and their moves
N Rubens, K Still, J Huhtamäki, MG Russell
Innovation Ecosystems Network, Media X, at Stanford University, 2010
142010
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Articles 1–20