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Journal Articles
- 2016
[j9]Mehdi Elahi
, Francesco Ricci, Neil Rubens:
A survey of active learning in collaborative filtering recommender systems. Comput. Sci. Rev. 20: 29-50 (2016)- 2015
- [j8]Rahul C. Basole, Martha G. Russell, Jukka Huhtamäki, Neil Rubens, Kaisa Still, Hyunwoo Park:
Understanding Business Ecosystem Dynamics: A Data-Driven Approach. ACM Trans. Manag. Inf. Syst. 6(2): 6:1-6:32 (2015) - 2014
- [j7]Kaisa Still, Jukka Huhtamäki, Martha G. Russell, Neil Rubens:
Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations. Int. J. Technol. Manag. 66(2/3): 243-265 (2014) - 2013
- [j6]Mehdi Elahi, Francesco Ricci, Neil Rubens:
Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective. ACM Trans. Intell. Syst. Technol. 5(1): 13:1-13:33 (2013) - 2011
- [j5]Neil Rubens, Dain Kaplan, Toshio Okamoto:
ELIxIR: Expertise Learning and Identification x Information Retrieval. Int. J. Inf. Syst. Soc. Chang. 2(1): 48-63 (2011) - [j4]Neil Rubens, Kaisa Still, Jukka Huhtamäki, Martha G. Russell:
A Network Analysis of Investment Firms as Resource Routers in Chinese Innovation Ecosystem. J. Softw. 6(9): 1737-1745 (2011) - 2010
- [j3]Neil Rubens, Mikko Vilenius, Toshio Okamoto, Dain Kaplan:
CAFE: Collaboration Aimed at Finding Experts. Int. J. Knowl. Web Intell. 1(3/4): 169-186 (2010) - [j2]Neil Rubens, Ryota Tomioka, Masashi Sugiyama:
Output Divergence Criterion for Active Learning in Collaborative Settings. Inf. Media Technol. 5(1): 119-128 (2010) - 2008
- [j1]Masashi Sugiyama, Neil Rubens:
A batch ensemble approach to active learning with model selection. Neural Networks 21(9): 1278-1286 (2008)
Conference and Workshop Papers
- 2016
- [c16]Jukka Huhtamäki, Neil Rubens:
Exploring Innovation Ecosystems as Networks: Four European Cases. HICSS 2016: 4505-4514 - [c15]Dain Kaplan, Neil Rubens, Simone Teufel, Takenobu Tokunaga:
Solving the AL Chicken-and-Egg Corpus and Model Problem: Model-free Active Learning for Phenomena-driven Corpus Construction. LREC 2016 - 2015
- [c14]Sébastien Louvigné, Yoshihiro Kato, Neil Rubens, Maomi Ueno:
SNS Messages Recommendation for Learning Motivation. AIED 2015: 237-246 - 2014
- [c13]Mehdi Elahi, Francesco Ricci, Neil Rubens:
Active Learning in Collaborative Filtering Recommender Systems. EC-Web 2014: 113-124 - [c12]Sébastien Louvigné, Yoshihiro Kato, Neil Rubens, Maomi Ueno:
Goal-Based Messages Recommendation Utilizing Latent Dirichlet Allocation. ICALT 2014: 464-468 - 2013
- [c11]Xin Wan, Neil Rubens, Toshio Okamoto:
An Inquiry Based Collaborative Learning Using in E-NOTEBOOK System. ICALT 2013: 100-101 - 2012
- [c10]Neil Rubens, Toshio Okamoto, Dain Kaplan:
Message-Based Motivation Modeling. ICALT 2012: 420-421 - [c9]Sébastien Louvigné, Neil Rubens, Fumihiko Anma, Toshio Okamoto:
Utilizing Social Media for Goal Setting Based on Observational Learning. ICALT 2012: 736-737 - [c8]Rahul C. Basole, Martha G. Russell, Jukka Huhtamäki, Neil Rubens:
Understanding Mobile Ecosystem Dynamics: a Data-Driven Approach. ICMB 2012: 15 - [c7]Marko V. Jankovic, Neil Rubens:
A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks. ICONIP (3) 2012: 552-559 - [c6]Neil Rubens, Dain Kaplan, Toshio Okamoto:
E-Learning 3.0: Anyone, Anywhere, Anytime, and AI. ICWL Workshops 2012: 171-180 - [c5]Mehdi Elahi, Francesco Ricci, Neil Rubens:
Adapting to Natural Rating Acquisition with Combined Active Learning Strategies. ISMIS 2012: 254-263 - 2009
- [c4]Neil Rubens, Mikko Vilenius, Toshio Okamoto:
Automatic Group Formation for Informal Collaborative Learning. Web Intelligence/IAT Workshops 2009: 231-234 - 2008
- [c3]Neil Rubens, Vera Sheinman, Takenobu Tokunaga, Masashi Sugiyama:
Order Retrieval. LKR 2008: 310-317 - [c2]Masashi Sugiyama, Neil Rubens:
Active Learning with Model Selection in Linear Regression. SDM 2008: 518-529 - 2007
- [c1]Neil Rubens, Masashi Sugiyama:
Influence-based collaborative active learning. RecSys 2007: 145-148
Parts in Books or Collections
- 2011
- [p1]Neil Rubens, Dain Kaplan, Masashi Sugiyama:
Active Learning in Recommender Systems. Recommender Systems Handbook 2011: 735-767
Reference Works
- 2015
- [r1]Neil Rubens, Mehdi Elahi, Masashi Sugiyama, Dain Kaplan:
Active Learning in Recommender Systems. Recommender Systems Handbook 2015: 809-846
Informal and Other Publications
- 2014
- [i2]Neil Rubens:
Turing Test for the Internet of Things. CoRR abs/1412.3802 (2014) - 2006
- [i1]Neil Rubens:
The Application of Fuzzy Logic to the Construction of the Ranking Function of Information Retrieval Systems. CoRR abs/cs/0610039 (2006)
Coauthor Index
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