The Application of Fuzzy Logic to the Construction of the Ranking Function of Information Retrieval Systems - Neil Rubens (CoRR, 2006)

Influence-based collaborative active learning. - Neil Rubens; Masashi Sugiyama (RecSys, 2007)

Order Retrieval. - Neil Rubens; Vera Sheinman; Takenobu Tokunaga; Masashi Sugiyama (LKR, 2008)

Active Learning with Model Selection in Linear Regression. - Masashi Sugiyama; Neil Rubens (SDM, 2008)

A batch ensemble approach to active learning with model selection. - Masashi Sugiyama; Neil Rubens (Neural Networks, 2008)

Automatic Group Formation for Informal Collaborative Learning. - Neil Rubens; Mikko Vilenius; Toshio Okamoto (Web Intelligence/IAT Workshops, 2009)

CAFE: Collaboration Aimed at Finding Experts. - Neil Rubens; Mikko Vilenius; Toshio Okamoto; Dain Kaplan (Int. J. Knowl. Web Intell., 2010)

Output Divergence Criterion for Active Learning in Collaborative Settings. - Neil Rubens; Ryota Tomioka; Masashi Sugiyama (Inf. Media Technol., 2010)

ELIxIR: Expertise Learning and Identification x Information Retrieval. - Neil Rubens; Dain Kaplan; Toshio Okamoto (Int. J. Inf. Syst. Soc. Chang., 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)

Active Learning in Recommender Systems. - Neil Rubens; Dain Kaplan; Masashi Sugiyama (Recommender Systems Handbook, 2011)

Utilizing Social Media for Goal Setting Based on Observational Learning. - Sébastien Louvigné; Neil Rubens; Fumihiko Anma; Toshio Okamoto (ICALT, 2012)

Message-Based Motivation Modeling. - Neil Rubens; Toshio Okamoto; Dain Kaplan (ICALT, 2012)

Understanding Mobile Ecosystem Dynamics: a Data-Driven Approach. - Rahul C. Basole; Martha G. Russell; Jukka Huhtamäki; Neil Rubens (ICMB, 2012)

A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks. - Marko V. Jankovic; Neil Rubens (ICONIP (3), 2012)

E-Learning 3.0: Anyone, Anywhere, Anytime, and AI. - Neil Rubens; Dain Kaplan; Toshio Okamoto (ICWL Workshops, 2012)

Adapting to Natural Rating Acquisition with Combined Active Learning Strategies. - Mehdi Elahi; Francesco Ricci 001; Neil Rubens (ISMIS, 2012)

An Inquiry Based Collaborative Learning Using in E-NOTEBOOK System. - Xin Wan; Neil Rubens; Toshio Okamoto (ICALT, 2013)

Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective. - Mehdi Elahi; Francesco Ricci 001; Neil Rubens (ACM Trans. Intell. Syst. Technol., 2013)

Active Learning in Collaborative Filtering Recommender Systems. - Mehdi Elahi; Francesco Ricci 001; Neil Rubens (EC-Web, 2014)

Goal-Based Messages Recommendation Utilizing Latent Dirichlet Allocation. - Sébastien Louvigné; Yoshihiro Kato; Neil Rubens; Maomi Ueno (ICALT, 2014)

Turing Test for the Internet of Things. - Neil Rubens (CoRR, 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)

SNS Messages Recommendation for Learning Motivation. - Sébastien Louvigné; Yoshihiro Kato; Neil Rubens; Maomi Ueno (AIED, 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)

Active Learning in Recommender Systems. - Neil Rubens; Mehdi Elahi; Masashi Sugiyama; Dain Kaplan (Recommender Systems Handbook, 2015)

Exploring Innovation Ecosystems as Networks: Four European Cases. - Jukka Huhtamäki; Neil Rubens (HICSS, 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 (LREC, 2016)

A survey of active learning in collaborative filtering recommender systems. - Mehdi Elahi; Francesco Ricci 001; Neil Rubens (Comput. Sci. Rev., 2016)