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Siyuan Chen, Julien Epps
Measuring cognitive load changes can contribute to better treatment of patients, can help design effective strategies to reduce medical errors among clinicians and can facilitate user evaluation of health care information systems. This paper proposes an ...
Computer Methods and Programs in Biomedicine - December 2012
High cognitive load arises from complex time- and safety-critical tasks (e.g., mapping out flight paths, monitoring traffic, or even managing nuclear reactors), which cause stress, errors and diminished performance. Over the past five years, our research ...
ACM Transactions on Interactive Intelligent Systems - December 2012
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. These annotations may be imperfect, in the sense that many images contain multiple objects belonging to the label vocabulary. In ...
International Journal of Computer Vision (IJCV) - September 2012
Tapio Pahikkala, Hanna Suominen, Jorma Boberg
We propose an efficient algorithm for calculating hold-out and cross-validation (CV) type of estimates for sparse regularized least-squares predictors. Holding out H data points with our method requires O(min(nH^2,Hn^2)) time provided that a predictor ...
Machine Learning - July 2012
Coles Amanda, Coles Andrew, Angel Garcia Olaya, Sergio Jimenez, Carlos Linares Lopez, Scott Sanner, Sungwook Yoon
In this article we review the 2011 International Planning Competition. We give an overview of the history of the competition, discussing how it has developed since its first edition in 1998. The 2011 competition was run in three main separate tracks: ...
AI Magazine - June 2012
Andrey Kan, Jeffrey Kai Chi Chan, Conor Hayes, Bernie Hogan, James Bailey, Chris Leckie
Online forums are rich sources of information about users' communication activity over time. Finding temporal patterns in communication records can advance our understanding of the dynamics of conversations. The main challenge of temporal analysis in ...
World Wide Web - May 2012
Tim Van Erven, Mark Reid, Bob Williamson
Mixability of a loss governs the best possible performance when aggregating expert predictions with respect to that loss. The determination of the mixability constant for binary losses is straightforward but opaque. In the binary case we make this ...
Journal of Machine Learning Research - May 2012
Julian McAuley, Tiberio Caetano
The problem of isometric point-pattern matching can be modeled as inference in small tree-width graphical models whose embeddings in the plane are said to be ‘globally rigid’. Although such graphical models lead to efficient and exact solutions, they ...
Pattern Recognition - May 2012
Background: This work describes a system for identifying event mentions in bio-molecular research abstracts that are either speculative (e.g. analysis of IkappaBalpha phosphorylation, where it is not specified whether phosphorylation did or did not occur...
BMC Medical Informatics and Decision Making - April 2012
Junbin Gao, Qinfeng Shi, Tiberio Caetano
Compressive sensing is an emerging field predicated upon the fact that, if a signal has a sparse representation in some basis, then it can be almost exactly reconstructed from very few random measurements. Many signals and natural images, for example ...
Pattern Recognition Letters - February 2012