31 citations · 41 across the 7 of their papers we have counts for
10 papers
Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network
Janne Pylkkönen, Antti Ukkonen, Juho Kilpikoski +2
Adaption of end-to-end speech recognition systems to new tasks is known to be challenging. A number of solutions have been proposed which apply external language models with variou…
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…
Large-scale study of social network structure and team performance in a multiplayer online game
Antti Ukkonen, Juho Hamari
A question of interest in both theory and practice is if and how familiarity between members of a team, expressed in terms of social network structure, relates to the success of th…
Crowdsourced correlation clustering with relative distance comparisons
Antti Ukkonen
Crowdsourced, or human computation based clustering algorithms usually rely on relative distance comparisons, as these are easier to elicit from human workers than absolute distanc…
Interpreting Classifiers through Attribute Interactions in Datasets
Andreas Henelius, Kai Puolamäki, Antti Ukkonen
In this work we present the novel ASTRID method for investigating which attribute interactions classifiers exploit when making predictions. Attribute interactions in classification…
Multivariate Confidence Intervals
Jussi Korpela, Emilia Oikarinen, Kai Puolamäki +1
Confidence intervals are a popular way to visualize and analyze data distributions. Unlike p-values, they can convey information both about statistical significance as well as effe…
Semi-supervised Kernel Metric Learning Using Relative Comparisons
Ehsan Amid, Aristides Gionis, Antti Ukkonen
We consider the problem of metric learning subject to a set of constraints on relative-distance comparisons between the data items. Such constraints are meant to reflect side-infor…
Finding Statistically Significant Attribute Interactions
Andreas Henelius, Antti Ukkonen, Kai Puolamäki
In many data exploration tasks it is meaningful to identify groups of attribute interactions that are specific to a variable of interest. For instance, in a dataset where the attri…
Estimating the pattern frequency spectrum inside the browser
Matthijs van Leeuwen, Antti Ukkonen
We present a browser application for estimating the number of frequent patterns, in particular itemsets, as well as the pattern frequency spectrum. The pattern frequency spectrum i…
Approximate Top-k Retrieval from Hidden Relations
Antti Ukkonen
We consider the evaluation of approximate top-k queries from relations with a-priori unknown values. Such relations can arise for example in the context of expensive predicates, or…