625 citations · 1.2k across the 22 of their papers we have counts for
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Bayesian Receiver Operating Characteristic Metric for Linear Classifiers
Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi +1
We propose a novel classifier accuracy metric: the Bayesian Area Under the Receiver Operating Characteristic Curve (CBAUC). The method estimates the area under the ROC curve and is…
Are SonarQube Rules Inducing Bugs?
Valentina Lenarduzzi, Francesco Lomio, Heikki Huttunen +1
Background. The popularity of tools for analyzing Technical Debt, and particularly the popularity of SonarQube, is increasing rapidly. SonarQube proposes a set of coding rules, whi…
Surface Type Classification for Autonomous Robot Indoor Navigation
Francesco Lomio, Erjon Skenderi, Damoon Mohamadi +3
In this work we describe the preparation of a time series dataset of inertial measurements for determining the surface type under a wheeled robot. The data consists of over 7600 la…
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning
Oguzhan Gencoglu, Mark van Gils, Esin Guldogan +5
Recent advancements in machine learning research, i.e., deep learning, introduced methods that excel conventional algorithms as well as humans in several complex tasks, ranging fro…