activity
20042016
most citedHilbert space embeddings and metrics on probability measures

186 citations · 728 across the 13 of their papers we have counts for

collaborators

14 papers

cs.AI2016

Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches

Yonatan Vaizman, Katherine Ellis, Gert Lanckriet

The ability to automatically recognize a person's behavioral context can contribute to health monitoring, aging care and many other domains. Validating context recognition in-the-w…

cs.SI2015★ 32 cited

Prediction and Characterization of High-Activity Events in Social Media Triggered by Real-World News

Janani Kalyanam, Mauricio Quezada, Barbara Poblete +1

On-line social networks publish information on a high volume of real-world events almost instantly, becoming a primary source for breaking news. Some of these real-world events can…

cs.SI2015★ 9 cited

Facts and Fabrications about Ebola: A Twitter Based Study

Janani Kalyanam, Sumithra Velupillai, Son Doan +2

Microblogging websites like Twitter have been shown to be immensely useful for spreading information on a global scale within seconds. The detrimental effect, however, of such plat…

cs.IR2013★ 37 cited

Codebook based Audio Feature Representation for Music Information Retrieval

Yonatan Vaizman, Brian McFee, Gert Lanckriet

Digital music has become prolific in the web in recent decades. Automated recommendation systems are essential for users to discover music they love and for artists to reach approp…

cs.LG2012★ 24 cited

Clustering hidden Markov models with variational HEM

Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet

The hidden Markov model (HMM) is a widely-used generative model that copes with sequential data, assuming that each observation is conditioned on the state of a hidden Markov chain…

cs.AI2011

Tech Report A Variational HEM Algorithm for Clustering Hidden Markov Models

Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet

The hidden Markov model (HMM) is a generative model that treats sequential data under the assumption that each observation is conditioned on the state of a discrete hidden variable…