Neil Rubens

According to our database, Neil Rubens authored at least 29 papers between 2006 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

A survey of active learning in collaborative filtering recommender systems.

Mehdi Elahi, Francesco Ricci, Neil Rubens

Comput. Sci. Rev., 2016

Solving the AL Chicken-and-Egg Corpus and Model Problem: Model-free Active Learning for Phenomena-driven Corpus Construction.

Dain Kaplan, Neil Rubens, Simone Teufel, Takenobu Tokunaga

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Exploring Innovation Ecosystems as Networks: Four European Cases.

Jukka Huhtamäki, Neil Rubens

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015

Active Learning in Recommender Systems.

Neil Rubens, Mehdi Elahi, Masashi Sugiyama, Dain Kaplan

Proceedings of the Recommender Systems Handbook, 2015

Understanding Business Ecosystem Dynamics: A Data-Driven Approach.

Rahul C. Basole, Martha G. Russell, Jukka Huhtamäki, Neil Rubens, Kaisa Still, Hyunwoo Park

ACM Trans. Manag. Inf. Syst., 2015

SNS Messages Recommendation for Learning Motivation.

Sébastien Louvigné, Yoshihiro Kato, Neil Rubens, Maomi Ueno

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014

Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations.

Kaisa Still, Jukka Huhtamäki, Martha G. Russell, Neil Rubens

Int. J. Technol. Manag., 2014

Turing Test for the Internet of Things.

Neil Rubens

CoRR, 2014

Goal-Based Messages Recommendation Utilizing Latent Dirichlet Allocation.

Sébastien Louvigné, Yoshihiro Kato, Neil Rubens, Maomi Ueno

Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014

Active Learning in Collaborative Filtering Recommender Systems.

Mehdi Elahi, Francesco Ricci, Neil Rubens

Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

2013

Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective.

Mehdi Elahi, Francesco Ricci, Neil Rubens

ACM Trans. Intell. Syst. Technol., 2013

An Inquiry Based Collaborative Learning Using in E-NOTEBOOK System.

Xin Wan, Neil Rubens, Toshio Okamoto

Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013

2012

Adapting to Natural Rating Acquisition with Combined Active Learning Strategies.

Mehdi Elahi, Francesco Ricci, Neil Rubens

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

E-Learning 3.0: Anyone, Anywhere, Anytime, and AI.

Neil Rubens, Dain Kaplan, Toshio Okamoto

Proceedings of the New Horizons in Web Based Learning, 2012

A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks.

Marko V. Jankovic, Neil Rubens

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Understanding Mobile Ecosystem Dynamics: a Data-Driven Approach.

Rahul C. Basole, Martha G. Russell, Jukka Huhtamäki, Neil Rubens

Proceedings of the International Conference on Mobile Business, 2012

Message-Based Motivation Modeling.

Neil Rubens, Toshio Okamoto, Dain Kaplan

Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, 2012

Utilizing Social Media for Goal Setting Based on Observational Learning.

Sébastien Louvigné, Neil Rubens, Fumihiko Anma, Toshio Okamoto

Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, 2012

2011

Active Learning in Recommender Systems.

Neil Rubens, Dain Kaplan, Masashi Sugiyama

Proceedings of the Recommender Systems Handbook, 2011

A Network Analysis of Investment Firms as Resource Routers in Chinese Innovation Ecosystem.

Neil Rubens, Kaisa Still, Jukka Huhtamäki, Martha G. Russell

J. Softw., 2011

ELIxIR: Expertise Learning and Identification x Information Retrieval.

Neil Rubens, Dain Kaplan, Toshio Okamoto

Int. J. Inf. Syst. Soc. Chang., 2011

2010

Output Divergence Criterion for Active Learning in Collaborative Settings.

Neil Rubens, Ryota Tomioka, Masashi Sugiyama

Inf. Media Technol., 2010

CAFE: Collaboration Aimed at Finding Experts.

Neil Rubens, Mikko Vilenius, Toshio Okamoto, Dain Kaplan

Int. J. Knowl. Web Intell., 2010

2009

Automatic Group Formation for Informal Collaborative Learning.

Neil Rubens, Mikko Vilenius, Toshio Okamoto

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

2008

A batch ensemble approach to active learning with model selection.

Masashi Sugiyama, Neil Rubens

Neural Networks, 2008

Active Learning with Model Selection in Linear Regression.

Masashi Sugiyama, Neil Rubens

Proceedings of the SIAM International Conference on Data Mining, 2008

Order Retrieval.

Neil Rubens, Vera Sheinman, Takenobu Tokunaga, Masashi Sugiyama

Proceedings of the Large-Scale Knowledge Resources. Construction and Application, 2008

2007

Influence-based collaborative active learning.

Neil Rubens, Masashi Sugiyama

Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

2006

The Application of Fuzzy Logic to the Construction of the Ranking Function of Information Retrieval Systems

Neil Rubens

CoRR, 2006