output
20152018
most citedSubjectively Interesting Subgroup Discovery on Real-valued Targets

12 citations

8 papers

cs.DS2018

Randomisation Algorithms for Large Sparse Matrices

Kai Puolamäki, Andreas Henelius, Antti Ukkonen

In many domains it is necessary to generate surrogate networks, e.g., for hypothesis testing of different properties of a network. Furthermore, generating surrogate networks typica…

stat.ML2017★ 12 cited

Subjectively Interesting Subgroup Discovery on Real-valued Targets

Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn +3

Deriving insights from high-dimensional data is one of the core problems in data mining. The difficulty mainly stems from the fact that there are exponentially many variable combin…

cs.HC2016

A short review and primer on respiration in human computer interaction applications

Ilkka Kosunen, Benjamin Cowley

The application of psychophysiology in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging fiel…

cs.HC2016

A short review and primer on electroencephalography in human computer interaction applications

Lauri Ahonen, Benjamin Cowley

The application of psychophysiology in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging fiel…

cs.HC2016

A short review and primer on event-related potentials in human computer interaction applications

Minna Huotilainen, Benjamin Cowley, Lauri Ahonen

The application of psychophysiology in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging fiel…

cs.HC2016

How to advance general game playing artificial intelligence by player modelling

Benjamin Ultan Cowley

General game playing artificial intelligence has recently seen important advances due to the various techniques known as 'deep learning'. However the advances conceal equally impor…

cs.HC2016★ 4 cited

Utility of a Behavlets approach to a Decision theoretic predictive player model

Benjamin Ultan Cowley, Darryl Charles

We present the second in a series of three academic essays which deal with the question of how to build a generalized player model. We begin with a proposition: a general model of…

q-bio.NC2015

Reorganization of functionally connected brain subnetworks in high-functioning autism

Enrico Glerean, Raj Kumar Pan, Juha Salmi +10

Background: Previous functional connectivity studies have found both hypo- and hyper-connectivity in brains of individuals having autism spectrum disorder (ASD). Here we studied ab…